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1

Micropulse Lidar (MPL) Handbook  

SciTech Connect (OSTI)

The micropulse lidar (MPL) is a ground-based optical remote sensing system designed primarily to determine the altitude of clouds overhead. The physical principle is the same as for radar. Pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal. From the time delay between each outgoing transmitted pulse and the backscattered signal, the distance to the scatterer is infered. Besides real-time detection of clouds, post-processing of the lidar return can also characterize the extent and properties of aerosol or other particle-laden regions.

Mendoza, A; Flynn, C

2006-05-01T23:59:59.000Z

2

Micropulse Lidar Cloud Mask Value-Added Product Technical Report  

SciTech Connect (OSTI)

Lidar backscattered signal is a useful tool for identifying vertical cloud structure in the atmosphere in optically thin clouds. Cloud boundaries derived from lidar signals are a necessary input for popular ARM data products, such as the Active Remote Sensing of Clouds (ARSCL) product. An operational cloud boundary algorithm (Wang and Sassen 2001) has been implemented for use with the ARM Micropulse Lidar (MPL) systems. In addition to retrieving cloud boundaries above 500 m, the value-added product (VAP) named Micropulse Lidar Cloud Mask (MPLCMASK) applies lidar-specific corrections (i.e., range-square, background, deadtime, and overlap) as described in Campbell et al. (2002) to the measured backscattered lidar. Depolarization ratio is computed using the methodology developed by Flynn et al. (2007) for polarization-capable MPL systems. The cloud boundaries output from MPLCMASK will be the primary lidar cloud mask for input to the ARSCL product and will be applied to all MPL systems, including historical data sets.

Sivaraman, C; Comstock, J

2011-07-25T23:59:59.000Z

3

Micropulse Lidar The ARM Program studies  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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4

An Atmospheric Radiation Measurement Value-Added Product to Retrieve Optically Thin Cloud Visible Optical Depth using Micropulse Lidar  

SciTech Connect (OSTI)

The purpose of the Micropulse Lidar (MPL) Cloud Optical Depth (MPLCOD) Value-Added Product (VAP) is to retrieve the visible (short-wave) cloud optical depth for optically thin clouds using MPL. The advantage of using the MPL to derive optical depth is that lidar is able to detect optically thin cloud layers that may not be detected by millimeter cloud radar or radiometric techniques. The disadvantage of using lidar to derive optical depth is that the lidar signal becomes attenuation limited when ? approaches 3 (this value can vary depending on instrument specifications). As a result, the lidar will not detect optically thin clouds if an optically thick cloud obstructs the lidar beam.

Lo, C; Comstock, JM; Flynn, C

2006-10-01T23:59:59.000Z

5

ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

6

ARM: ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

7

Macrophysical Properties of Tropical Cirrus Clouds from the CALIPSO Satellite and from Ground-based Micropulse and Raman Lidars  

SciTech Connect (OSTI)

Lidar observations of cirrus cloud macrophysical properties over the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program Darwin, Australia site are compared from the Cloud-Aerosol Lidar and In- frared Pathfinder Satellite Observation (CALIPSO) satellite, the ground-based ARM micropulse lidar (MPL), and the ARM Raman lidar (RL). Comparisons are made using the subset of profiles where the lidar beam is not fully attenuated. Daytime measurements using the RL are shown to be relatively unaffected by the solar background and are therefore suited for checking the validity of diurnal cycles. RL and CALIPSO cloud fraction profiles show good agreement while the MPL detects significantly less cirrus, particularly during the daytime. Both MPL and CALIPSO observations show that cirrus clouds occur less frequently during the day than at night at all altitudes. In contrast, the RL diurnal cy- cle is significantly different than zero only below about 11 km; where it is the opposite sign (i.e. more clouds during the daytime). For cirrus geomet- rical thickness, the MPL and CALIPSO observations agree well and both datasets have signficantly thinner clouds during the daytime than the RL. From the examination of hourly MPL and RL cirrus cloud thickness and through the application of daytime detection limits to all CALIPSO data we find that the decreased MPL and CALIPSO cloud thickness during the daytime is very likely a result of increased daytime noise. This study highlights the vast im- provement the RL provides (compared to the MPL) in the ARM program's ability to observe tropical cirrus clouds as well as a valuable ground-based lidar dataset for the validation of CALIPSO observations and to help im- prove our understanding of tropical cirrus clouds.

Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.; Sivaraman, Chitra; Vaughan, Mark A.; Winker, D.; Turner, David D.

2013-08-27T23:59:59.000Z

8

ARM: ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

9

A new cloud and aerosol layer detection method based on micropulse lidar measurements  

E-Print Network [OSTI]

A new cloud and aerosol layer detection method based on micropulse lidar measurements Chuanfeng algorithm to detect aerosols and clouds based on micropulse lidar measurements. A semidiscretization is then introduced. Combined with empirical threshold values, we determine if the signal waves indicate clouds

Li, Zhanqing

10

Raman lidar and MPL Measurements during ALIVE  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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11

ARM - Evaluation Product - MicroPulse LIDAR Cloud Optical Depth (MPLCOD)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/InfraredProductsMicroPulse LIDAR Cloud Optical Depth (MPLCOD)

12

Planetary Boundary Layer from AERI and MPL  

SciTech Connect (OSTI)

The distribution and transport of aerosol emitted to the lower troposphere is governed by the height of the planetary boundary layer (PBL), which limits the dilution of pollutants and influences boundary-layer convection. Because radiative heating and cooling of the surface strongly affect the PBL top height, it follows diurnal and seasonal cycles and may vary by hundreds of meters over a 24-hour period. The cap the PBL imposes on low-level aerosol transport makes aerosol concentration an effective proxy for PBL height: the top of the PBL is marked by a rapid transition from polluted, well-mixed boundary-layer air to the cleaner, more stratified free troposphere. Micropulse lidar (MPL) can provide much higher temporal resolution than radiosonde and better vertical resolution than infrared spectrometer (AERI), but PBL heights from all three instruments at the ARM SGP site are compared to one another for validation. If there is agreement among them, the higher-resolution remote sensing-derived PBL heights can accurately fill in the gaps left by the low frequency of radiosonde launches, and thus improve model parameterizations and our understanding of boundary-layer processes.

Sawyer, Virginia

2014-02-13T23:59:59.000Z

13

Planetary Boundary Layer from AERI and MPL  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The distribution and transport of aerosol emitted to the lower troposphere is governed by the height of the planetary boundary layer (PBL), which limits the dilution of pollutants and influences boundary-layer convection. Because radiative heating and cooling of the surface strongly affect the PBL top height, it follows diurnal and seasonal cycles and may vary by hundreds of meters over a 24-hour period. The cap the PBL imposes on low-level aerosol transport makes aerosol concentration an effective proxy for PBL height: the top of the PBL is marked by a rapid transition from polluted, well-mixed boundary-layer air to the cleaner, more stratified free troposphere. Micropulse lidar (MPL) can provide much higher temporal resolution than radiosonde and better vertical resolution than infrared spectrometer (AERI), but PBL heights from all three instruments at the ARM SGP site are compared to one another for validation. If there is agreement among them, the higher-resolution remote sensing-derived PBL heights can accurately fill in the gaps left by the low frequency of radiosonde launches, and thus improve model parameterizations and our understanding of boundary-layer processes.

Sawyer, Virginia

14

Cloud Effects on Radiative Heating Rate Profiles over Darwin using ARM and A-train Radar/Lidar Observations  

SciTech Connect (OSTI)

Observations of clouds from the ground-based U.S. Department of Energy Atmospheric Radiation Measurement program (ARM) and satellite-based A-train are used to compute cloud radiative forcing profiles over the ARM Darwin, Australia site. Cloud properties are obtained from both radar (the ARM Millimeter Cloud Radar (MMCR) and the CloudSat satellite in the A-train) and lidar (the ARM Micropulse lidar (MPL) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite in the A-train) observations. Cloud microphysical properties are taken from combined radar and lidar retrievals for ice clouds and radar only or lidar only retrievals for liquid clouds. Large, statistically significant differences of up to 1.43 K/day exist between the mean ARM and A-train net cloud radiative forcing profiles. The majority of the difference in cloud radiative forcing profiles is shown to be due to a large difference in the cloud fraction above 12 km. Above this altitude the A-train cloud fraction is significantly larger because more clouds are detected by CALIPSO than by the ground-based MPL. It is shown that the MPL is unable to observe as many high clouds as CALIPSO due to being more frequently attenuated and a poorer sensitivity even in otherwise clear-sky conditions. After accounting for cloud fraction differences and instrument sampling differences due to viewing platform we determined that differences in cloud radiative forcing due to the retrieved ice cloud properties is relatively small. This study demonstrates that A-train observations are better suited for the calculation cloud radiative forcing profiles. In addition, we find that it is necessary to supplement CloudSat with CALIPSO observations to obtain accurate cloud radiative forcing profiles since a large portion of clouds at Darwin are detected by CALIPSO only.

Thorsen, Tyler J.; Fu, Qiang; Comstock, Jennifer M.

2013-06-11T23:59:59.000Z

15

absorption lidar dial: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Topic Index 1 Development of an eye-safe diode-laser-based micro-pulse differential absorption lidar (MP-dial) for atmospheric water-vapor and aerosol studies. Open Access Theses...

16

MPL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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17

GACP SECOND YEAR PROGRESS REPORT Name: John A. Reagan* and Kurtis J. Thome  

E-Print Network [OSTI]

Micro-Pulse Lidar (MPL) and solar radiometer data to extract further information about aerosol extinction-to-backscatter ratio characteristics. · Participated in a lidar, solar radiometer and scattering loaned by NASA Langley Research Center. A slant-path sensing mirror system fitted to one of the MPL

18

ENREGISTREMENT DES MICROPULSATIONS GOMAGNTIQUES UTILISANT DES MAGNTOMTRES A NOYAU SATUR  

E-Print Network [OSTI]

et sovié- tiques [4], pour mesurer le champ magnétique de l'espace extra-terrestre, de grandeur. 2014 On présente une installation d'enregistrement des micropulsations du champ magnétique terrestre

Paris-Sud XI, Université de

19

DOE/SC-ARM/TR-098 Micropulse Lidar Cloud Mask Value-Added Product Technical Report  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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20

Lidar Report  

SciTech Connect (OSTI)

This report provides an overview of the LiDAR acquisition methodology employed by Woolpert on the 2009 USDA - Savannah River LiDAR Site Project. LiDAR system parameters and flight and equipment information is also included. The LiDAR data acquisition was executed in ten sessions from February 21 through final reflights on March 2, 2009; using two Leica ALS50-II 150kHz Multi-pulse enabled LiDAR Systems. Specific details about the ALS50-II systems are included in Section 4 of this report.

Wollpert.

2009-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Multipacting saturation in parallel plate and micro-pulse electron gun  

E-Print Network [OSTI]

A novel parallel plate model is proposed that divided the electron cloud into three parts at saturation, and it is studied in detail using both an analytical approach and PIC (Particle In Cell) code simulations. As one part of the electron cloud, ribbons modes are suggested by tracking the trajectory of individual particle, and the aim of this mode form is to simplify the progress of multipacting effect in the parallel plate so as to be eliminated by optimizing RF parameters. The micro-pulse electron gun (MPG) has demonstrated the potential to address the need for high peak and average current electron beams, hence studying the multipacting in MPG is essential. On the basis of multipacting studying in the parallel plate, it is clear that increasing the cavity voltage is of interest in yielding high quality beams in the gun.

Liao, Lang; Zhao, Minghua

2014-01-01T23:59:59.000Z

22

The Simultaneous Medicina-Planck Experiment (SiMPlE): data acquisition, reduction and first results  

E-Print Network [OSTI]

The Simultaneous Medicina-{\\it Planck} Experiment (SiMPlE) is aimed at observing a selected sample of 263 extragalactic and Galactic sources with the Medicina 32-m single dish radio telescope in the same epoch as the Planck satellite observations. The data acquired with a frequency coverage down to 5 GHz, also combined with Planck at frequencies above 30 GHz, will constitute a useful reference catalogue of bright sources over the whole Northern hemisphere. Furthermore, source observations performed in different epochs and comparison with other catalogues allow the investigation of source variabilities on different timescales. In this work, we describe the sample selection, the on-going data acquisition campaign, the data reduction procedures, the developed tools, and the comparison with other data-sets. We present the data at 5 and 8.3 GHz for the SiMPlE Northern Sample consisting of 79 sources with $\\delta \\geq 45^\\circ$ selected in our catalogue and observed during the first 6 months of the project. A first...

Procopio, P; Righini, S; Zanichelli, A; Ricciardi, S; Libardi, P; Burigana, C; Cuttaia, F; Mack, K -H; Terenzi, L; Villa, F; Bonavera, L; Morgante, G; Trigilio, C; Trombetti, T; Umana, G

2011-01-01T23:59:59.000Z

23

Lidar Investigation of Tropical Nocturnal Boundary Layer Aerosols and Cloud Macrophysics  

SciTech Connect (OSTI)

Observational evidence of two-way association between nocturnal boundary layer aerosols and cloud macrophysical properties under different meteorological conditions is reported in this paper. The study has been conducted during 2008-09 employing a high space-time resolution polarimetric micro-pulse lidar over a tropical urban station in India. Firstly, the study highlights the crucial role of boundary layer aerosols and background meteorology on the formation and structure of low-level stratiform clouds in the backdrop of different atmospheric stability conditions. Turbulent mixing induced by the wind shear at the station, which is associated with a complex terrain, is found to play a pivotal role in the formation and structural evolution of nocturnal boundary layer clouds. Secondly, it is shown that the trapping of energy in the form of outgoing terrestrial radiation by the overlying low-level clouds can enhance the aerosol mixing height associated with the nocturnal boundary layer. To substantiate this, the long-wave heating associated with cloud capping has been quantitatively estimated in an indirect way by employing an Advanced Research Weather Research and Forecasting (WRF-ARW) model version 2.2 developed by National Center for Atmospheric Research (NCAR), Colorado, USA, and supplementary data sets; and differentiated against other heating mechanisms. The present investigation as well establishes the potential of lidar remote-sensing technique in exploring some of the intriguing aspects of the cloud-environment relationship.

Manoj, M. G.; Devara, PC S.; Taraphdar, Sourav

2013-10-01T23:59:59.000Z

24

Doppler Lidar (DL) Handbook  

SciTech Connect (OSTI)

The Doppler lidar (DL) is an active remote sensing instrument that provides range- and time-resolved measurements of radial velocity and attenuated backscatter. The principle of operation is similar to radar in that pulses of energy are transmitted into the atmosphere; the energy scattered back to the transceiver is collected and measured as a time-resolved signal. From the time delay between each outgoing transmitted pulse and the backscattered signal, the distance to the scatterer is inferred. The radial or line-of-sight velocity of the scatterers is determined from the Doppler frequency shift of the backscattered radiation. The DL uses a heterodyne detection technique in which the return signal is mixed with a reference laser beam (i.e., local oscillator) of known frequency. An onboard signal processing computer then determines the Doppler frequency shift from the spectra of the heterodyne signal. The energy content of the Doppler spectra can also be used to determine attenuated backscatter.

Newsom, RK

2012-02-13T23:59:59.000Z

25

ARM - Instrument - mpl  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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26

ARM - Campaign Instrument - mpl  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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27

ARM - Datastreams - mpl  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation Data Quality Plots Citation DOI: 10.5439/1025227 [ WhatDatastreamsmpl Documentation Data Quality

28

airborne oceanographic lidar: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Channels Landslides Spatial Cognition The emergence of airborne lidar data cognition and perception, we also explore the notion that the ongoing use of lidar enables...

29

Lidar characterization of crystalline silica generation and gravel plant  

E-Print Network [OSTI]

The lidar vertical pro?les and wind speed data were used toof wind speed and concentration (based on lidar verticalvertical plane at a given height, z, was calculated as the product of the wind speed

Trzepla-Nabaglo, K.; Shiraki, R.; Holm'en, B. A.

2006-01-01T23:59:59.000Z

30

Raman lidar/AERI PBL Height Product  

SciTech Connect (OSTI)

Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

Ferrare, Richard

2012-12-14T23:59:59.000Z

31

Raman lidar/AERI PBL Height Product  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiance are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level.

Ferrare, Richard

32

Systematic Sampling of Scanning Lidar Swaths  

E-Print Network [OSTI]

Popescu Proof of concept lidar research has, to date, examined wall-to-wall models of forest ecosystems. While these studies have been important for verifying lidars efficacy for forest surveys, complete coverage is likely not the most cost effective... year of my graduate studies. Also, to Jin Zhu and the other members of the Aerial Photography project at the Texas Forest Service for opening my eyes to the practical uses of GIS and remote sensing, their encouragement for me to obtain a graduate...

Marcell, Wesley Tyler

2011-02-22T23:59:59.000Z

33

Comparison of the CALIPSO satellite and ground-based observations of cirrus clouds at the ARM TWP sites  

SciTech Connect (OSTI)

Statistics of ice cloud macrophysical and optical properties from the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP) instrument on board the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite are compared with those from ground-based lidar observations over a 31 month period. Ground-based lidar observations are taken from the micropulse lidars (MPL) at the three Department of Energy Atmospheric Radiation Measurement (ARM) tropical western pacific (TWP) sites: Manus, Nauru and Darwin. CALIPSO observations show a larger cloud fraction at high altitudes while the ground-based MPLs show a larger cloud fraction at low altitudes. The difference in mean ice cloud top and base heights at the Manus and Nauru sites are all within 0.51 km, although differences are statistically significant. Mean ice cloud geometrical thickness agree to within 0.05 km at the Manus and Nauru sites. Larger differences exist at Darwin due to excessive degradation of the MPL output power during our sampling period. Both sets of observations show thicker clouds during the nighttime which may be real but could also be partially an artifact of the decreased signal-to-noise ratio during the daytime. The number of ice cloud layers per profile are also shown to be consistent after accounting for the difference in spatial resolution. For cloud optical depths, four different retrieval methods are compared, two for each set of observations. All products show that the majority of ice cloud optical depths ({approx}60%) fall below an optical depth of 0.2. For most comparisons all four retrievals agree to within the uncertainty intervals. We find that both CALIPSO retrievals agree best to ground-based optical depths when the lidar ratio in the latter is retrieved instead of set to a fixed value. Also thoroughly compared is the cloud properties for the subset of ice clouds which reside in the tropical tropopause layer (TTL).

Thorsen, Tyler J.; Fu, Q.; Comstock, Jennifer M.

2011-11-10T23:59:59.000Z

34

E-Print Network 3.0 - airborne lidar measurements Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

airborne INSAR is 2-5 m over... . However, LIDAR has potential as a complementary measurement to INSAR. The LIDAR data used in this study... estimate and the adjacent LIDAR ......

35

Lidar techniques for search and rescue  

SciTech Connect (OSTI)

Four techniques for using LIDAR in Search and Rescue Operations will be discussed. The topic will include laser retroreflection, laser-induced fluorescence in the visible, laser-induced fluorescence during daylight hours, and laser-induced fluorescence in the uv. These techniques use high-repetition rate lasers at a variety of frequencies to induce either fluorescence in dye markers or retroreflection from plastic corner cubes on life preservers and other emergency markers.

Cabral, W.L.

1985-01-01T23:59:59.000Z

36

Ris-PhD-Report Complex Terrain and Wind Lidars  

E-Print Network [OSTI]

calculations over the same terrains. The lidar performance was also simulated with the commercial software WAs;#12;Author: Ferhat Bingöl Title: Complex terrain and wind lidars Division: Wind Energy Division Risø-PhD-52 and the comparison of the measurement data with the flow model outputs showed that the mean wind speed calculated

37

EN-025 Tools & Applications December 2008 Lidar Remote Sensing  

E-Print Network [OSTI]

IS LIDAR? Lidar (light detection and ranging system) is a relatively new type of active remote sensing are small-footprint, discrete return systems that record two to five returns for each emitted laser pulse fashion as an aerial photography camera. · An inertial measurement unit that records the pitch, yaw

38

Ris {R{1127(EN) Lidar data used in the COFIN  

E-Print Network [OSTI]

3.1 Generation of arti cial smoke 7 4 Data processing 8 4.1 The lidar equation 8 4.2 Backscatter, see below. In FLADIS the smoke were added to an initial heavy gas plume. 2 Experimental design Figures response. However, the Lidar does have a averaging volume due to the leng

39

ARM: 10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Newsom, Rob; Goldsmith, John

40

ARM: 1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

1-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

ARM: 2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

2-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

42

ARM: 10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-second Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

43

ARM: 10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-minute Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

Newsom, Rob; Goldsmith, John

44

ARM: 1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

1-minute Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

45

Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Validation of Innovative Exploration Technologies for Newberry Volcano: LIDAR of Newberry Volcano 2012

Jaffe, Todd

46

Atmospheric Data, Images, and Animations from Lidar Instruments used by the University of Wisconsin Lidar Group  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The Space Science and Engineering Center is a research and development center affiliated with the University of Wisconsin-Madisons Graduate School. Its primary focus is on geophysical research and technology to enhance understanding of the atmosphere of Earth, the other planets in the Solar System, and the cosmos. SSEC develops new observing tools for spacecraft, aircraft, and ground-based platforms, and models atmospheric phenomena. The Center receives, manages and distributes huge amounts of geophysical data and develops software to visualize and manipulate these data for use by researchers and operational meteorologists all over the world.[Taken from About SSEC at http://www.ssec.wisc.edu/overview/] A huge collection of data products, images, and animations comes to the SSEC from the University of Wisconsin Lidar Group. Contents of this collection include: An archive of thousands of Lidar images acquired before 2004 Arctic HSRL, MMCR, PAERI, MWR, Radiosonde, and CRAS forecast data Data after May 1, 2004 MPEG animations and Lidar Multiple Scattering Models

47

airborne lidar mapping: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

A minimum height of 1 m was applied to define woody understorey. Critical to this process were a Digital Terrain Model (extracted from the leaf-off last return LiDAR data)...

48

URBAN MODELING FROM LIDAR DATA IN AN INTEGRATED GIS ENVIRONMENT  

E-Print Network [OSTI]

are analyzed and possible solutions are proposed by fusing lidar data with other image data. Study shows: it allows rapid generation large-scale DTM (digital terrain model); is daylight independent; is relatively

Shan, Jie

49

A motor drive control system for the Lidar Polarimeter  

E-Print Network [OSTI]

A MOTOR DRIVE CONTROL SYSTEM FOR THE LIDAR POLARIMETER A Thesis by Waiming Leung Submitted to the Graduate College of Texas A/M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCF, May 1977 Major... Subject: Electrical Engineering A MOTOR DRIVE CONTROL SYSTEM FOR THE LIDAR POLARIMETER A Thesis by Waiming Leung Approved as to style and content by: Chairman o Comm' ee ea o epartment Member Mem er May 1977 ABSTRACT A Motor Drive Control...

Leung, Waiming

1977-01-01T23:59:59.000Z

50

LIDAR Wind Speed Measurements of Evolving Wind Fields  

SciTech Connect (OSTI)

Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feedforward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. Past studies have assumed Taylor's frozen turbulence hypothesis, which implies that turbulence remains unchanged as it advects downwind at the mean wind speed. With Taylor's hypothesis applied, the only source of wind speed measurement error is distortion caused by the LIDAR. This study introduces wind evolution, characterized by the longitudinal coherence of the wind, to LIDAR measurement simulations to create a more realistic measurement model. A simple model of wind evolution is applied to a frozen wind field used in previous studies to investigate the effects of varying the intensity of wind evolution. LIDAR measurements are also evaluated with a large eddy simulation of a stable boundary layer provided by the National Center for Atmospheric Research. Simulation results show the combined effects of LIDAR errors and wind evolution for realistic turbine-mounted LIDAR measurement scenarios.

Simley, E.; Pao, L. Y.

2012-07-01T23:59:59.000Z

51

Mapping surface fuels using LIDAR and multispectral data fusion for fire behavior modeling  

E-Print Network [OSTI]

, LIDAR derived data provides accurate estimates of surface fuel parameters efficiently and accurately over extensive areas of forests. This study demonstrates the importance of using accurate maps of fuel models derived using new LIDAR remote sensing...

Mutlu, Muge

2009-05-15T23:59:59.000Z

52

Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data  

E-Print Network [OSTI]

Geospatial analysis of vulnerable beach-foredune systems from decadal time series of lidar data, Geospatial analysis of vulnerable beach- foredune systems from decadal time series of lidar data, Journal densities; therefore, geospatial analysis, when applied to decadal lidar time series, needs to address

Mitasova, Helena

53

Alternate spatial sampling approaches for ecosystem structure inventory using spaceborne lidar  

E-Print Network [OSTI]

used in aircraft lidar remote sensing where power, heat, and reliability are less of a concern since January 2011 Accepted 29 January 2011 Available online 23 March 2011 Keywords: Lidar Remote sensing Laser collected in transects and should be considered for future lidar remote sensing missions. © 2011 Elsevier

Lefsky, Michael

54

ARM: 10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-minute TEMPORARY Raman Lidar: aerosol extinction profiles and aerosol optical thickness, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

55

ARM: 10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-minute TEMPORARY Raman Lidar: aerosol scattering ratio and backscattering coefficient profiles, from first Ferrare algorithm

Sivaraman, Chitra; Flynn, Connor

56

Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control: Preprint  

SciTech Connect (OSTI)

Turbine-mounted lidars provide preview measurements of the incoming wind field. By reducing loads on critical components and increasing the potential power extracted from the wind, the performance of wind turbine controllers can be improved [2]. As a result, integrating a light detection and ranging (lidar) system has the potential to lower the cost of wind energy. This paper presents an evaluation of turbine-mounted lidar availability. Availability is a metric which measures the proportion of time the lidar is producing controller-usable data, and is essential when a wind turbine controller relies on a lidar. To accomplish this, researchers from Avent Lidar Technology and the National Renewable Energy Laboratory first assessed and modeled the effect of extreme atmospheric events. This shows how a multirange lidar delivers measurements for a wide variety of conditions. Second, by using a theoretical approach and conducting an analysis of field feedback, we investigated the effects of the lidar setup on the wind turbine. This helps determine the optimal lidar mounting position at the back of the nacelle, and establishes a relationship between availability, turbine rpm, and lidar sampling time. Lastly, we considered the role of the wind field reconstruction strategies and the turbine controller on the definition and performance of a lidar's measurement availability.

Davoust, S.; Jehu, A.; Bouillet, M.; Bardon, M.; Vercherin, B.; Scholbrock, A.; Fleming, P.; Wright, A.

2014-05-01T23:59:59.000Z

57

Raman Lidar ProfilesTemperature (RLPROFTEMP) Value-Added Product  

SciTech Connect (OSTI)

The purpose of this document is to describe the Raman Lidar ProfilesTemperature (RLPROFTEMP) value-added product (VAP) and the procedures used to derive atmospheric temperature profiles from the raw RL measurements. Sections 2 and 4 describe the input and output variables, respectively. Section 3 discusses the theory behind the measurement and the details of the algorithm, including calibration and overlap correction.

Newsom, RK; Sivaraman, C; McFarlane, SA

2012-10-31T23:59:59.000Z

58

Ris-R-Report LIDAR Wind Speed Measurements from a  

E-Print Network [OSTI]

, the spinner axis's vertical tilt and the wind turbine's yaw relative to the mean wind speed direction: Data Files 54 Appendix B: Wind Speed Vertical Profile 55 Appendix C: Sonic Cup Comparison 59Risø-R-Report LIDAR Wind Speed Measurements from a Rotating Spinner: "SpinnerEx 2009" Nikolas

59

FIRST PRINCIPLES MODELING FOR LIDAR SENSING OF COMPLEX ICE SURFACES  

E-Print Network [OSTI]

FIRST PRINCIPLES MODELING FOR LIDAR SENSING OF COMPLEX ICE SURFACES J. Kerekes, A. Goodenough, S of monitoring the dynamics and mass balance of glaciers, ice caps, and ice sheets. However, it is also known that ice surfaces can have complex 3-dimensional structure, which can challenge their accurate retrieval

Kerekes, John

60

Lidar on the Phoenix mission to Mars James Whiteway,1  

E-Print Network [OSTI]

Cameron Dickinson,1 Leonce Komguem,1 and Clive Cook1 Received 30 August 2007; revised 9 March 2008 of backscattered laser light from airborne dust and clouds. These observations will be coordinated with solar, and C. Cook (2008), Lidar on the Phoenix mission to Mars, J. Geophys. Res., 113, E00A08, doi:10

Duck, Thomas J.

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

absorption lidar performance: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

absorption lidar performance First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a...

62

absorption lidar sensitivity: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

absorption lidar sensitivity First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a...

63

absorption lidar system: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

absorption lidar system First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 Development of a differential...

64

INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR  

E-Print Network [OSTI]

101 INTEGRATED LIDAR & PHOTOGRAMMETRIC DOCUMENTATION OF THE RED GULCH DINOSAUR TRACKSITE (WYOMING Resource Technology Section, National Operations Center, Bu- reau of Land Management, Bldg. 50 Denver, CO of successful schemes is testament to the advances made in attitudes and approaches to fossil site management

Falkingham, Peter

65

Assessment and Optimization of Lidar Measurement Availability for Wind Turbine Control (Poster)  

SciTech Connect (OSTI)

Integrating Lidar to improve wind turbine controls is a potential breakthrough for reducing the cost of wind energy. By providing undisturbed wind measurements up to 400m in front of the rotor, Lidar may provide an accurate update of the turbine inflow with a preview time of several seconds. Focusing on loads, several studies have evaluated potential reductions using integrated Lidar, either by simulation or full scale field testing.

Scholbrock, F. A.; Fleming, P.; Wright, A.; Davoust, S.; Jehu, A.; Bouillet, M.; Bardon M.; Vercherin, B.

2014-02-01T23:59:59.000Z

66

SciTech Connect: Field Test Results from Lidar Measured Yaw Control...  

Office of Scientific and Technical Information (OSTI)

Conference: Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint Citation Details In-Document...

67

Structural Analysis of Southern Dixie Valley using LiDAR and...  

Open Energy Info (EERE)

Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle Aerial Photography, NAS Fallon Geothermal Exploration Project, Dixie Valley, Nevada Jump to: navigation,...

68

Comparison of temperature and humidity profiles with elastic-backscatter lidar data  

SciTech Connect (OSTI)

This contribution analyzes elastic-backscatter lidar data and temperature and humidity profiles from radiosondes acquired in Barcelona in July 1992. Elastic-backscatter lidar data reveal the distribution of aerosols within the volume of atmosphere scanned. By comparing this information with temperature and humidity profiles of the atmosphere at a similar time, we are able to asses de relationship among aerosol distribution and atmospheric stability or water content, respectively. Comparisons have shown how lidar`s revealed layers of aerosols correspond to atmospheric layers with different stability condition and water content.

Soriano, C. [Universidad Politecnica de Cataluna, Barcelona (Spain)]|[Los Alamos National Lab., NM (United States); Buttler, W.T. [Los Alamos National Lab., NM (United States); Baldasano, J.M. [Universidad Politecnica de Cataluna, Barcelona (Spain)

1995-04-01T23:59:59.000Z

69

ARM - Campaign Instrument - mpl-air  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation DesertgovInstrumentsap-surf Comments?govInstrumentsmaeri Comments?

70

Meenakshi Power Ltd MPL | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(MonasterLowellisMcDonald is aElectricMeeme, Wisconsin: Energy

71

Tracking Honey Bees Using LIDAR (Light Detection and Ranging) Technology  

SciTech Connect (OSTI)

The Defense Advanced Research Projects Agency (DARPA) has recognized that biological and chemical toxins are a real and growing threat to troops, civilians, and the ecosystem. The Explosives Components Facility at Sandia National Laboratories (SNL) has been working with the University of Montana, the Southwest Research Institute, and other agencies to evaluate the feasibility of directing honeybees to specific targets, and for environmental sampling of biological and chemical ''agents of harm''. Recent work has focused on finding and locating buried landmines and unexploded ordnance (UXO). Tests have demonstrated that honeybees can be trained to efficiently and accurately locate explosive signatures in the environment. However, it is difficult to visually track the bees and determine precisely where the targets are located. Video equipment is not practical due to its limited resolution and range. In addition, it is often unsafe to install such equipment in a field. A technology is needed to provide investigators with the standoff capability to track bees and accurately map the location of the suspected targets. This report documents Light Detection and Ranging (LIDAR) tests that were performed by SNL. These tests have shown that a LIDAR system can be used to track honeybees. The LIDAR system can provide both the range and coordinates of the target so that the location of buried munitions can be accurately mapped for subsequent removal.

BENDER, SUSAN FAE ANN; RODACY, PHILIP J.; SCHMITT, RANDAL L.; HARGIS JR., PHILIP J.; JOHNSON, MARK S.; KLARKOWSKI, JAMES R.; MAGEE, GLEN I.; BENDER, GARY LEE

2003-01-01T23:59:59.000Z

72

ARM: 10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

10-minute Raman Lidar: aerosol depolarization profiles and single layer cloud optical depths from first Turner algorithm

Newsom, Rob; Goldsmith, John

73

LiDAR observations of offshore winds at future wind turbine operating heights  

E-Print Network [OSTI]

LiDAR observations of offshore winds at future wind turbine operating heights Alfredo Peña1 , Sven at the Horns Rev offshore wind farm. The influence of atmospheric stability on the surface layer wind shear: Charnock, LiDAR, Marine boundary layer, Offshore, Surface layer, Wind profile. 1 Introduction There is

74

Turbine Reliability and Operability Optimization through the use of Direct Detection Lidar Final Technical Report  

SciTech Connect (OSTI)

The goal of this Department of Energy (DOE) project is to increase wind turbine efficiency and reliability with the use of a Light Detection and Ranging (LIDAR) system. The LIDAR provides wind speed and direction data that can be used to help mitigate the fatigue stress on the turbine blades and internal components caused by wind gusts, sub-optimal pointing and reactionary speed or RPM changes. This effort will have a significant impact on the operation and maintenance costs of turbines across the industry. During the course of the project, Michigan Aerospace Corporation (MAC) modified and tested a prototype direct detection wind LIDAR instrument; the resulting LIDAR design considered all aspects of wind turbine LIDAR operation from mounting, assembly, and environmental operating conditions to laser safety. Additionally, in co-operation with our partners, the National Renewable Energy Lab and the Colorado School of Mines, progress was made in LIDAR performance modeling as well as LIDAR feed forward control system modeling and simulation. The results of this investigation showed that using LIDAR measurements to change between baseline and extreme event controllers in a switching architecture can reduce damage equivalent loads on blades and tower, and produce higher mean power output due to fewer overspeed events. This DOE project has led to continued venture capital investment and engagement with leading turbine OEMs, wind farm developers, and wind farm owner/operators.

Johnson, David K; Lewis, Matthew J; Pavlich, Jane C; Wright, Alan D; Johnson, Kathryn E; Pace, Andrew M

2013-02-01T23:59:59.000Z

75

Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology  

E-Print Network [OSTI]

#12;Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology Arlen F. Chasea,1. The impor- tance of this geospatial innovation is demonstrated with newly acquired LiDAR data from in the remote geospatial imaging of cultural landscapes, including ancient communities and their anthropogenic

Weishampel, John F.

76

Modeling Residential Urban Areas from Dense Aerial LiDAR Point Clouds  

E-Print Network [OSTI]

Modeling Residential Urban Areas from Dense Aerial LiDAR Point Clouds Qian-Yi Zhou and Ulrich models for residential areas from aerial LiDAR scans. The key differ- ence between downtown area modeling and residential area modeling is that the latter usually contains rich vegetation. Thus, we propose a robust

Shahabi, Cyrus

77

Complete Residential Urban Area Reconstruction from Dense Aerial LiDAR Point Clouds  

E-Print Network [OSTI]

Complete Residential Urban Area Reconstruction from Dense Aerial LiDAR Point Clouds Qian-Yi Zhou area modeling and residential area modeling is that the latter usually con- tains rich vegetation. Thus representing the 3D urban reality of residential areas. Keywords: urban modeling, LiDAR, residential area

Shahabi, Cyrus

78

Lidar Inter-Comparison Exercise Final Campaign Report A Protat  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickrinformationPostdocs spaceLaser TheLessons LearnedLibraryTeamingLidar

79

Complex-optical-field lidar system for range and vector velocity measurement  

E-Print Network [OSTI]

Complex-optical-field lidar system for range and vector velocity measurement Shuang Gao,1,2 Maurice OSullivan,3 and Rongqing Hui2,* 1Department of Electronic Engineering and Information Science, University of Science and Technology of China... lidar system based on the measurement of complex optical field is demonstrated for the first time. An electro-optic in- phase/quadrature (I/Q) modulator is used in the lidar transmitter to realize carrier-suppressed complex optical field modulation...

Gao, Shuang; Sullivan, Maurice O.; Hui, Rongqing

2012-11-01T23:59:59.000Z

80

Studying Clouds and Aerosols with Lidar Depolarization Ratio and Backscatter Relationships  

E-Print Network [OSTI]

comparison of mineral dust aerosol retrievals from two instruments, MODIS and CALIPSO lidar. And, we implement and evaluate a new mineral dust detection algorithm based on the analysis of thin dust radiative signature. In comparison, three commonly used...

Cho, Hyoun-Myoung

2012-02-14T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Accessing the Energy Departments Lidar Buoy Data off Virginia Beach  

Broader source: Energy.gov [DOE]

In December 2014, Pacific Northwest National Laboratory (PNNL) deployed the Energy Departments floating lidar buoy off of Virginia Beach, Virginia, in less than 30 meters (m) of water,...

82

SciTech Connect: Field Test Results from Lidar Measured Yaw Control...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a...

83

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION  

E-Print Network [OSTI]

NESTED HIGH RESOLUTION SIMULATION AND LIDAR VALIDATION OF A LAND BREEZE CIRCULATION by GIJS DE BOER local forcing. A wide range of scales is simulated using the nesting capability of the University

Eloranta, Edwin W.

84

Development of a lidar polarimeter technique of measuring suspended solids in water  

E-Print Network [OSTI]

DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W. PRESLEY Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE May 1980 Major Subject; Electrical Engineering DEVELOPMENT OF A LIDAR POLARIMETER TECHNIQUE OF MEASURING SUSPENDED SOLIDS IN WATER A Thesis by DAVID W, PRESLEY Approved as to sty1e and content by: Chairman of Committee H d of Department...

Presley, David W

1980-01-01T23:59:59.000Z

85

Deriving a Framework for Estimating Individual Tree Measurements with Lidar for Use in the TAMBEETLE Southern Pine Beetle Infestation Growth Model  

E-Print Network [OSTI]

. TAMBEETLE was used to compare spot growth between a lidar-derived forest map and a forest map generated by TAMBEETLE, based on sample plot characteristics. The lidar-derived forest performed comparably to the TAMBEETLE generated forest. Using lidar to map...

Stukey, Jared D.

2011-02-22T23:59:59.000Z

86

Simple Doppler Wind Lidar adaptive observation experiments with 3D-Var and an ensemble Kalman filter in a global primitive equations model  

E-Print Network [OSTI]

the next few years, the first Doppler Wind Lidar (DWL) will be deployed in space by the European Space1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Simple Doppler Wind Lidar adaptive Experiments, we compare several adaptive observation strategies designed to subsample Doppler Wind Lidar (DWL

Maryland at College Park, University of

87

Raman lidar profiling of water vapor and aerosols over the ARM SGP Site  

SciTech Connect (OSTI)

The authors have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. The Raman lidar sytem is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols. These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. The authors have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

Ferrare, R.A.

2000-01-09T23:59:59.000Z

88

RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE.  

SciTech Connect (OSTI)

We have developed and implemented automated algorithms to retrieve profiles of water vapor mixing ratio, aerosol backscattering, and aerosol extinction from Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) Raman Lidar data acquired during both daytime and nighttime operations. This Raman lidar system is unique in that it is turnkey, automated system designed for unattended, around-the-clock profiling of water vapor and aerosols (Goldsmith et al., 1998). These Raman lidar profiles are important for determining the clear-sky radiative flux, as well as for validating the retrieval algorithms associated with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required for assimilation into mesoscale models to improve weather forecasts. We have also developed and implemented routines to simultaneously retrieve profiles of relative humidity. These routines utilize the water vapor mixing ratio profiles derived from the Raman lidar measurements together with temperature profiles derived from a physical retrieval algorithm that uses data from a collocated Atmospheric Emitted Radiance Interferometer (AERI) and the Geostationary Operational Environmental Satellite (GOES) (Feltz et al., 1998; Turner et al., 1999). These aerosol and water vapor profiles (Raman lidar) and temperature profiles (AERI+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors to characterize the clear sky atmospheric state above the CART site.

FERRARE,R.A.

2000-01-09T23:59:59.000Z

89

Remote control and telescope auto-alignment system for multiangle LIDAR under development at CEILAP, Argentina  

E-Print Network [OSTI]

At CEILAP (CITEDEF-CONICET), a multiangle LIDAR is under development to monitor aerosol extinction coefficients in the frame of the CTA (Cherenkov Telescope Array) Project. This is an initiative to build the next generation of ground-based instruments to collect very high energy gamma-ray radiation (>10 GeV). The atmospheric conditions are very important for CTA observations, and LIDARs play an important role in the measurement of the aerosol optical depth at any direction. The LIDAR being developed at CEILAP was conceived to operate in harsh environmental conditions during the shifts, and these working conditions may produce misalignments. To minimize these effects, the telescopes comprising the reception unit are controlled by a self-alignment system. This paper describes the self-alignment method and hardware automation.

Pallotta, Juan; Otero, Lidia; Chouza, Fernando; Raul, Delia; Gonzalez, Francisco; Etchegoyen, Alberto; Quel, Eduardo

2013-01-01T23:59:59.000Z

90

Cirrus cloud-temperature interactions over a tropical station, Gadanki from lidar and satellite observations  

SciTech Connect (OSTI)

The cirrus clouds play an important role in the radiation budget of the earth's atmospheric system and are important to characterize their vertical structure and optical properties. LIDAR measurements are obtained from the tropical station Gadanki (13.5{sup 0} N, 79.2{sup 0} E), India, and meteorological indicators derived from Radiosonde data. Most of the cirrus clouds are observed near to the tropopause, which substantiates the strength of the tropical convective processes. The height and temperature dependencies of cloud height, optical depth, and depolarization ratio were investigated. Cirrus observations made using CALIPSO satellite are compared with lidar data for systematic statistical study of cirrus climatology.

S, Motty G, E-mail: mottygs@gmail.com; Satyanarayana, M., E-mail: mottygs@gmail.com; Krishnakumar, V., E-mail: mottygs@gmail.com; Dhaman, Reji k., E-mail: mottygs@gmail.com [Department of Optoelectronics, University of Kerala, Kariavattom, Trivandrum-695 581, Kerala (India)

2014-10-15T23:59:59.000Z

91

Biomass and Bioenergy 31 (2007) 646655 Estimating biomass of individual pine trees using airborne lidar  

E-Print Network [OSTI]

Biomass and Bioenergy 31 (2007) 646­655 Estimating biomass of individual pine trees using airborne biomass and bio-energy feedstocks. The overall goal of this study was to develop a method for assessing aboveground biomass and component biomass for individual trees using airborne lidar data in forest settings

92

Using LIDAR in Highway Rock Cuts Norbert H. Maerz, Ph. D., P. Eng,  

E-Print Network [OSTI]

the data needed to begin the process of modeling the rock raveling process. INTRODUCTION LIDAR damage, injury, and even death. Highways impeded by even small spills of rock material by blasting techniques to facilitate the highway construction. A constant danger to the motoring public

Maerz, Norbert H.

93

Measuring forest structure and biomass in New England forest stands using Echidna ground-based lidar  

E-Print Network [OSTI]

Measuring forest structure and biomass in New England forest stands using Echidna ground Accepted 12 March 2010 Available online 14 May 2011 Keywords: Ground-based lidar Forest structure Biomass biomass with very good accuracy in six New England hardwood and conifer forest stands. Comparing forest

Ni-Meister, Wenge

94

Master Thesis: Dual-Doppler technique applied to scanning lidars for the characterization of  

E-Print Network [OSTI]

of single wind turbines for the validation or tuning of wake models [1]. Recent full-field campaigns showed the opportunity to apply ground based scanning lidar or radar measurements to evaluate the wind field in the wake the correlated wind field. The scope of this master thesis is to study the interaction of wakes on the basis

Peinke, Joachim

95

LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model  

E-Print Network [OSTI]

LIDAR measurements of wind turbine wake dyn_amics and comparison with an engineering model 1 dynamics, lIre performed at four diameters behind a 95 kW wind turbine. The wake 111eaeasurement technique allows esti111ation of qUClsiinstantancou~ two dimensional wind fields in an area

96

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic paths  

E-Print Network [OSTI]

A geometric framework for channel network extraction from lidar: Nonlinear diffusion and geodesic extraction. Following this preprocessing, channels are defined as curves of minimal effort, or geodesics and geodesic paths, J. Geophys. Res., 115, F01002, doi:10.1029/2009JF001254. 1. Introduction [2] The detection

Foufoula-Georgiou, Efi

97

LIDAR OBSERVATIONS AND COMPARISON WITH NUMERICAL SIMULATION OF A LAKE MICHIGAN LAND BREEZE FRONT  

E-Print Network [OSTI]

of the Lake-Induced Convection Experiments (Lake-ICE), on December 21, 1997 the University of Wisconsin VolumeLIDAR OBSERVATIONS AND COMPARISON WITH NUMERICAL SIMULATION OF A LAKE MICHIGAN LAND BREEZE FRONT G circulation over Lake Michigan. Backscatter returns revealed a steady offshore flow extending 1.5 to 4 km

Eloranta, Edwin W.

98

Improved forecasts of extreme weather events by future space borne Doppler wind lidar  

E-Print Network [OSTI]

sensitive areas. To answer these questions simulation experiments with state-of-the-art numerical weather prediction (NWP) models have proved great value to test future meteorological observing systems a prioriImproved forecasts of extreme weather events by future space borne Doppler wind lidar Gert

Marseille, Gert-Jan

99

Topographic accuracy assessment of bare earth lidar-derived unstructured meshes Matthew V. Bilskie  

E-Print Network [OSTI]

: Shallow water equations Unstructured mesh Lidar DEM Storm surge Accuracy a b s t r a c t This study water equations model. A methodology is developed to compute root mean square error (RMSE) and the 95th, urban regions, etc.) and have coarse mesh resolution in areas outside the focus region (e.g. deep water

Central Florida, University of

100

Metal uorescence lidar (light detection and ranging) and the middle atmosphere  

E-Print Network [OSTI]

lidar takes advantage of the naturally occurring sodium atoms between 80 and 110 km above sea level (the though it is exposed to constant solar radiation. The hope of explaining a region strongly coupled as the `-pause' of the layer below them (see ®gure 1). Radiative absorption and emission are dominating eects

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Lidars in Wind Energy Jakob Mann, Ferhat Bingl, Torben Mikkelsen, Ioannis Antoniou, Mike  

E-Print Network [OSTI]

Lidars in Wind Energy Jakob Mann, Ferhat Bingöl, Torben Mikkelsen, Ioannis Antoniou, Mike Courtney, Gunner Larsen, Ebba Dellwik Juan Jose Trujillo* and Hans E. Jørgensen Wind Energy Department Risø of the presentation · Introduction to wind energy · Accurate profiles of the mean wind speed · Wakes behind turbines

102

Remote sensing the wind using Lidars and Sodars Ioannis Antoniou (1)  

E-Print Network [OSTI]

of the met masts increases rapidly with height. The evolution of new multi-MW wind turbines has resulted), as met towers increase in height, increases rapidly. The second reason is the measurement of the windRemote sensing the wind using Lidars and Sodars Ioannis Antoniou (1) , Mike Courtney(1) , Hans E

103

Impact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation in the Tropics  

E-Print Network [OSTI]

forecast errors of the European Centre for Medium-Range Weather Forecasts (ECMWF) model. Tropical mass­windImpact Assessment of Simulated Doppler Wind Lidars with a Multivariate Variational Assimilation, De Bilt, Netherlands CHRISTOPHE ACCADIA AND PETER SCHL?SSEL European Organisation

Stoffelen, Ad

104

Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration  

SciTech Connect (OSTI)

New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.

Rodney Frehlich

2012-10-30T23:59:59.000Z

105

Master thesis: "Validation of wake-simulation models based on long-range lidar measurements."  

E-Print Network [OSTI]

REpower 6M wind turbines with rotor blades of different designs installed in the Ellhft/Westre wind farm developed by the wind turbine manufacturer. Work plan 2011 2012 Task 11 12 01 02 03 04 05 06 07 08 09 10 Figure 1: Simulation of lidar measurements in the wake of a wind turbine using a LES generated wind field

Peinke, Joachim

106

Detailed Hydrographic Feature Extraction from High-Resolution LiDAR Data  

SciTech Connect (OSTI)

Detailed hydrographic feature extraction from high-resolution light detection and ranging (LiDAR) data is investigated. Methods for quantitatively evaluating and comparing such extractions are presented, including the use of sinuosity and longitudinal root-mean-square-error (LRMSE). These metrics are then used to quantitatively compare stream networks in two studies. The first study examines the effect of raster cell size on watershed boundaries and stream networks delineated from LiDAR-derived digital elevation models (DEMs). The study confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes generally yielded better stream network delineations, based on sinuosity and LRMSE. The second study demonstrates a new method of delineating a stream directly from LiDAR point clouds, without the intermediate step of deriving a DEM. Direct use of LiDAR point clouds could improve efficiency and accuracy of hydrographic feature extractions. The direct delineation method developed herein and termed mDn, is an extension of the D8 method that has been used for several decades with gridded raster data. The method divides the region around a starting point into sectors, using the LiDAR data points within each sector to determine an average slope, and selecting the sector with the greatest downward slope to determine the direction of flow. An mDn delineation was compared with a traditional grid-based delineation, using TauDEM, and other readily available, common stream data sets. Although, the TauDEM delineation yielded a sinuosity that more closely matches the reference, the mDn delineation yielded a sinuosity that was higher than either the TauDEM method or the existing published stream delineations. Furthermore, stream delineation using the mDn method yielded the smallest LRMSE.

Danny L. Anderson

2012-05-01T23:59:59.000Z

107

Estimating forest structural characteristics with airborne lidar scanning and a near-real time profiling laser systems  

E-Print Network [OSTI]

LiDAR (Light Detection and Ranging) directly measures canopy vertical structures, and provides an effective remote sensing solution to accurate and spatiallyexplicit mapping of forest characteristics, such as canopy height and Leaf Area Index...

Zhao, Kaiguang

2009-05-15T23:59:59.000Z

108

Method to determine and adjust the alignment of the transmitter and receiver fields of view of a LIDAR system  

DOE Patents [OSTI]

A method to determine the alignment of the transmitter and receiver fields of view of a light detection and ranging (LIDAR) system. This method can be employed to determine the far-field intensity distribution of the transmitter beam, as well as the variations in transmitted laser beam pointing as a function of time, temperature, or other environmental variables that may affect the co-alignment of the LIDAR system components. In order to achieve proper alignment of the transmitter and receiver optical systems when a LIDAR system is being used in the field, this method employs a laser-beam-position-sensing detector as an integral part of the receiver optics of the LIDAR system.

Schmitt, Randal L. (Tijeras, NM); Henson, Tammy D. (Albuquerque, NM); Krumel, Leslie J. (Cedar Crest, NM); Hargis, Jr., Philip J. (Albuquerque, NM)

2006-06-20T23:59:59.000Z

109

Field Test Results of Using a Nacelle-Mounted Lidar for Improving Wind Energy Capture by Reducing Yaw Misalignment (Presentation)  

SciTech Connect (OSTI)

Presented at the Nordic Wind Power Conference on November 5, 2014. This presentation describes field-test campaigns performed at the National Wind Technology Center in which lidar technology was used to improve the yaw alignment of the Controls Advanced Research Turbine (CART) 2 and CART3 wind turbines. The campaigns demonstrated that whether by learning a correction function to the nacelle vane, or by controlling yaw directly with the lidar signal, a significant improvement in power capture was demonstrated.

Fleming, P.; Scholbrock, A.; Wright, A.

2014-11-01T23:59:59.000Z

110

HiRes camera and LIDAR ranging system for the Clementine mission  

SciTech Connect (OSTI)

Lawrence Livermore National Laboratory developed a space-qualified High Resolution (HiRes) imaging LIDAR (Light Detection And Ranging) system for use on the DoD Clementine mission. The Clementine mission provided more than 1.7 million images of the moon, earth, and stars, including the first ever complete systematic surface mapping of the moon from the ultra-violet to near-infrared spectral regions. This article describes the Clementine HiRes/LIDAR system, discusses design goals and preliminary estimates of on-orbit performance, and summarizes lessons learned in building and using the sensor. The LIDAR receiver system consists of a High Resolution (HiRes) imaging channel which incorporates an intensified multi-spectral visible camera combined with a Laser ranging channel which uses an avalanche photo-diode for laser pulse detection and timing. The receiver was bore sighted to a light-weight McDonnell-Douglas diode-pumped ND:YAG laser transmitter that emmitted 1.06 {micro}m wavelength pulses of 200 mJ/pulse and 10 ns pulse-width, The LIDAR receiver uses a common F/9.5 Cassegrain telescope assembly. The optical path of the telescope is split using a color-separating beamsplitter. The imaging channel incorporates a filter wheel assembly which spectrally selects the light which is imaged onto a custom 12 mm gated image intensifier fiber-optically-coupled into a 384 x 276 pixel frame transfer CCD FPA. The image intensifier was spectrally sensitive over the 0.4 to 0.8 {micro}m wavelength region. The six-position filter wheel contained 4 narrow spectral filters, one broadband and one blocking filter. At periselene (400 km) the HiRes/LIDAR imaged a 2.8 km swath width at 20-meter resolution. The LIDAR function detected differential signal return with a 40-meter range accuracy, with a maximum range capability of 640 km, limited by the bit counter in the range return counting clock.

Ledebuhr, A.G.; Kordas, J.F.; Lewis, I.T. [and others

1995-04-01T23:59:59.000Z

111

OAK 270 - The use of Lidar/radiometer (LIRAD) in the ARM program to obtain optical properties and microphysics of high and midlevel clouds  

SciTech Connect (OSTI)

OAK 270 - The use of Lidar/Radiometer (LIRAD) in the ARM program to obtain optical properties and microphysics of high and midlevel clouds

C.M.R. Platt; R.T. Austin; S.A. Young; and G.L. Stephens

2002-12-13T23:59:59.000Z

112

Raman Lidar Profiles Best Estimate Value-Added Product Technical Report  

SciTech Connect (OSTI)

The ARM Raman lidars are semi-autonomous ground-based systems that transmit at a wavelength of 355 nm with 300 mJ, {approx}5 ns pulses, and a pulse repetition frequency of 30Hz. Signals from the various detection channels are processed to produce time- and height-resolved estimates of several geophysical quantities, such as water vapor mixing ratio, relative humidity, aerosol scattering ratio, backscatter, optical depth, extinction, and depolarization ratio. Data processing is currently handled by a suite of six value-added product (VAP) processes. Collectively, these processes are known as the Raman Lidar Profiles VAP (RLPROF). The top-level best-estimate (BE) VAP process was introduced in order to bring together the most relevant information from the intermediate-level VAPs. As such, the BE process represents the final stage in data processing for the Raman lidar. Its principal function is to extract the primary variables from each of the intermediate-level VAPs, perform additional quality control, and combine all of this information into a single output file for the end-user. The focus of this document is to describe the processing performed by the BE VAP process.

Newson, R

2012-01-18T23:59:59.000Z

113

ARM - Publications: Science Team Meeting Documents: MPL Hardware Upgrades  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication andAn AssessmentARMArcticCloudvariability in

114

ARM - PI Product - Planetary Boundary Layer from AERI and MPL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUC : XDCResearchWarmingMethaneProductsCSSEFProductsMerged andAerosol

115

Meas. Sci. Technol. 10 (1999) 11781184. Printed in the UK PII: S0957-0233(99)06575-3 Submarine lidar for seafloor  

E-Print Network [OSTI]

for the detection of dissolved and sunken pollutants. One of these instruments is the submarine lidar, combining: fluorescence lidar, range-gating video, seafloor monitoring 1. Submarine sensor network for pollution of Oldenburg, Laser Remote Sensing Group), · an acoustic sensor for measuring the acoustic impedance

Oldenburg, Carl von Ossietzky Universität

116

Characterizing Aerosol Distributions and Optical Properties Using the NASA Langley High Spectral Resolution Lidar  

SciTech Connect (OSTI)

The objective of this project was to provide vertically and horizontally resolved data on aerosol optical properties to assess and ultimately improve how models represent these aerosol properties and their impacts on atmospheric radiation. The approach was to deploy the NASA Langley Airborne High Spectral Resolution Lidar (HSRL) and other synergistic remote sensors on DOE Atmospheric Science Research (ASR) sponsored airborne field campaigns and synergistic field campaigns sponsored by other agencies to remotely measure aerosol backscattering, extinction, and optical thickness profiles. Synergistic sensors included a nadir-viewing digital camera for context imagery, and, later in the project, the NASA Goddard Institute for Space Studies (GISS) Research Scanning Polarimeter (RSP). The information from the remote sensing instruments was used to map the horizontal and vertical distribution of aerosol properties and type. The retrieved lidar parameters include profiles of aerosol extinction, backscatter, depolarization, and optical depth. Products produced in subsequent analyses included aerosol mixed layer height, aerosol type, and the partition of aerosol optical depth by type. The lidar products provided vertical context for in situ and remote sensing measurements from other airborne and ground-based platforms employed in the field campaigns and was used to assess the predictions of transport models. Also, the measurements provide a data base for future evaluation of techniques to combine active (lidar) and passive (polarimeter) measurements in advanced retrieval schemes to remotely characterize aerosol microphysical properties. The project was initiated as a 3-year project starting 1 January 2005. It was later awarded continuation funding for another 3 years (i.e., through 31 December 2010) followed by a 1-year no-cost extension (through 31 December 2011). This project supported logistical and flight costs of the NASA sensors on a dedicated aircraft, the subsequent analysis and archival of the data, and the presentation of results in conferences, workshops, and publications. DOE ASR field campaigns supported under this project included - MAX-Mex /MILAGRO (2006) - TexAQS 2006/GoMACCS (2006) - CHAPS (2007) - RACORO (2009) - CARE/CalNex (2010) In addition, data acquired on HSRL airborne field campaigns sponsored by other agencies were used extensively to fulfill the science objectives of this project and the data acquired have been made available to other DOE ASR investigators upon request.

Hostetler, Chris; Ferrare, Richard

2013-02-14T23:59:59.000Z

117

Modeling LIDAR Detection of Biological Aerosols to Determine Optimum Implementation Strategy  

SciTech Connect (OSTI)

This report summarizes work performed for a larger multi-laboratory project named the Background Interferent Measurement and Standards project. While originally tasked to develop algorithms to optimize biological warfare agent detection using UV fluorescence LIDAR, the current uncertainties in the reported fluorescence profiles and cross sections the development of any meaningful models. It was decided that a better approach would be to model the wavelength-dependent elastic backscattering from a number of ambient background aerosol types, and compare this with that generated from representative sporulated and vegetative bacterial systems. Calculations in this report show that a 266, 355, 532 and 1064 nm elastic backscatter LIDAR experiment will allow an operator to immediately recognize when sulfate, VOC-based or road dust (silicate) aerosols are approaching, independent of humidity changes. It will be more difficult to distinguish soot aerosols from biological aerosols, or vegetative bacteria from sporulated bacteria. In these latter cases, the elastic scattering data will most likely have to be combined with UV fluorescence data to enable a more robust categorization.

Sheen, David M.; Aker, Pam M.

2007-09-19T23:59:59.000Z

118

Field Test Results from Lidar Measured Yaw Control for Improved Yaw Alignment with the NREL Controls Advanced Research Turbine: Preprint  

SciTech Connect (OSTI)

This paper describes field tests of a light detection and ranging (lidar) device placed forward looking on the nacelle of a wind turbine and used as a wind direction measurement to directly control the yaw position of a wind turbine. Conventionally, a wind turbine controls its yaw direction using a nacelle-mounted wind vane. If there is a bias in the measurement from the nacelle-mounted wind vane, a reduction in power production will be observed. This bias could be caused by a number of issues such as: poor calibration, electromagnetic interference, rotor wake, or other effects. With a lidar mounted on the nacelle, a measurement of the wind could be made upstream of the wind turbine where the wind is not being influenced by the rotor's wake or induction zone. Field tests were conducted with the lidar measured yaw system and the nacelle wind vane measured yaw system. Results show that a lidar can be used to effectively measure the yaw error of the wind turbine, and for this experiment, they also showed an improvement in power capture because of reduced yaw misalignment when compared to the nacelle wind vane measured yaw system.

Scholbrock, A.; Fleming, P.; Wright, A.; Slinger, C.; Medley, J.; Harris, M.

2014-12-01T23:59:59.000Z

119

SIMULTANEOUS AND COMMON-VOLUME LIDAR OBSERVATIONS OF THE MESOSPHERIC FE AND NA LAYERS AT BOULDER (40N, 105W)  

E-Print Network [OSTI]

inputs can reproduce some large-scale characteristics but are challenged in simulating small- scale the general structures more precisely as well as simulating the challenging small scale features. In Aug. The Fe Boltzmann temperature lidar was under upgrading and validating at Boulder before its deployment

Chu, Xinzhao

120

Sedimentological Reinterpretation of Surficial Unconsolidated Debris Flows and Stream Deposits of the Southern Flanks of Grand Mesa, CO: An Integrated LiDAR Approach  

E-Print Network [OSTI]

. This study developed a sedimentological description and interpretation of these deposits and tested the capabilities of terrestrial LiDAR (Light Detection and Ranging) for use in sedimentological studies. This research addressed the origin of the deposits...

Blakeley, Mitchell W.

2014-08-08T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Comparing Pulsed Doppler LIDAR with SODAR and Direct Measurements for Wind Assessment  

SciTech Connect (OSTI)

There is a pressing need for good wind-speed measurements at greater and greater heights to assess the availability of the resource in terms of power production and to identify any frequently occurring atmospheric structural characteristics that may create turbulence that impacts the operational reliability and lifetime of wind turbines and their components. In this paper, we summarize the results of a short study that compares the relative accuracies of wind speeds derived from a high-resolution pulsed Doppler LIDAR operated by the National Oceanic and Atmospheric Administration (NOAA) and a midrange Doppler SODAR with wind speeds measured by four levels of tower-based sonic anemometry up to a height of 116 m.

Kelley, N. D.; Jonkman, B. J.; Scott, G. N.; Pichugina, Y. L.

2007-07-01T23:59:59.000Z

122

Rayleigh LIDAR and satellite (HALOE, SABER, CHAMP and COSMIC) measurements of stratosphere-mesosphere temperature over a southern sub-tropical site, Reunion (20.8 S; 55.5 E): climatology and comparison study  

E-Print Network [OSTI]

climatology of the mid- dle atmosphere from long-termLIDAR measurements at mid- dle and low latitudes, J.Over the southern tropics, mid- dle atmosphere temperature

Sivakumar, V.; Vishnu Prasanth, P.; Kishore, P.; Bencherif, H.; Keckhut, P.

2011-01-01T23:59:59.000Z

123

Analysis and Calibration of CRF Raman Lidar Cloud Liquid Water Measurements  

SciTech Connect (OSTI)

The Atmospheric Radiation Measurement (ARM) Raman lidar (RL), located at the Southern Great Plains (SGP) Climate Research Facility (CRF), is a unique state-of-the-art active remote sensor that is able to measure profiles of water vapor, aerosol, and cloud properties at high temporal and vertical resolution throughout the diurnal cycle. In October 2005, the capability of the RL was extended by the addition of a new detection channel that is sensitive to the Raman scattering of liquid water. This new channel permits the system, in theory, to measure profiles of liquid water content (LWC) by the RL. To our knowledge, the ARM RL is the only operation lidar with this capability. The liquid water Raman backscattering cross-section is a relatively weak and spectrally broad feature, relative to the water vapor Raman backscatter signal. The wide bandpass required to achieve reasonable signal-to-noise in the liquid water channel essentially eliminates the ability to measure LWC profiles during the daytime in the presence of large solar background, and thus all LWC observations are nighttime only. Additionally, the wide bandpass increases the probability that other undesirable signals, such as fluorescence from aerosols, may contaminate the observation. The liquid water Raman cross-section has a small amount of overlap with the water vapor Raman cross-section, and thus there will be a small amount of cross-talk between the two signals, with water vapor contributing a small amount of signal to the LWC observation. And finally, there is significant uncertainty in the actual strength of the liquid water Raman cross-section in the literature. The calibrated LWC profiles, together with the coincident cloud backscatter observations also made by the RL, can be used to derive profiles of cloud droplet effective radius. By combining these profiles of effective radius in the lower portion of the cloud with the aerosol extinction measurements made below the cloud by the RL, the first aerosol indirect effect can be investigated using a single instrument, thereby reducing the uncertainty associated with aligning the different sampling periods and fields of view of multiple instruments. We have applied a first principles calibration to the LWC profiles. This approach requires that the relative differences in optical efficiency between the water vapor and liquid water channels be known; this relative difference is easily computed using the efficiency values of the beam splitters and interference filters in the lidar that were provided by the vendors of these components. The first principles approach then transfers the calibration from the water vapor mixing ratio to the LWC using the difference in the optical efficiency and an interpolated value of the liquid water Raman cross section from the literature, and the better established water vapor Raman cross section. After accounting for all known error sources, the vertical integral of LWC was compared against a similar value retrieved from a co-located ground-based infrared radiometer. The RL and infrared radiometer have significantly different fields of view; thus to compare the two sensors the data were averaged to 5 min intervals where only cloudy samples were included in the average of each. While there is fair scatter in the data (r=0.47), there is also a clear indication of a positive correlation between the infrared and the RL values. The value of the slope of the regression is 0.49, which indicates a tendency of the RL measurements to underestimate the total liquid amount with respect to the infrared retrieval. Research continues to investigate the source of the bias, but the most likely candidate is the large uncertainty in the liquid water Raman cross-section as there have been no direct measurements made of this parameter at the lidars laser wavelength of 355 nm. The calibrated LWC profile was then used together with the cloud backscatter coefficient profile from the RL to derive profiles of cloud droplet effective radius and cloud droplet number density. These profiles o

Turner, D.D.

2007-10-31T23:59:59.000Z

124

University of Wisconsin High Spectral Lidar operations during MPACE: Examples of AHSRL-MMCR particle size retrievals E.W.Eloranta, I.A.Razenkov, J.P.Garcia, and J.P.Hedrick  

E-Print Network [OSTI]

where valid lidar and radar measurements were obtained. 6) Lidar and radar data were averaged and altitude bins.Measurements within 6 dBZ of the radar's minimum detectable reflectivity are removed along signal-to-noise level can also be specified to exclude noisy data points AHSRL data was used extensively

Eloranta, Edwin W.

125

Turn-key Raman lidar for profiling atmospheric water vapor, clouds, and aerosols at the US Southern Great Plains Climate Study Site  

SciTech Connect (OSTI)

There are clearly identified scientific requirements for continuous profiling of atmospheric water vapor at the Department of Energy, Atmospheric Radiation Measurement program, Southern Great Plains CART (Cloud and Radiation Testbed) site in northern Oklahoma. Research conducted at several laboratories has demonstrated the suitability of Raman lidar for providing measurements that are an excellent match to those requirements. We have developed and installed a ruggedized Raman lidar system that resides permanently at the CART site, and that is computer automated to eliminate the requirements for operator interaction. In addition to the design goal of profiling water vapor through most of the troposphere during nighttime and through the boundary layer during daytime, the lidar provides quantitative characterizations of aerosols and clouds, including depolarization measurements for particle phase studies.

Goldsmith, J.E.M.; Blair, F.H.; Bisson, S.E.

1997-12-31T23:59:59.000Z

126

A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska  

SciTech Connect (OSTI)

This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

Gangodagamage, Chandana; Wullschleger, Stan

2014-07-03T23:59:59.000Z

127

A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

Gangodagamage, Chandana; Wullschleger, Stan

128

A joint study of the lower ionosphere by radar, lidar, and spectrometer  

SciTech Connect (OSTI)

The dynamics and associated phenomena occurring in the lower ionospheric-E region, especially the mesopause region between 80 km to 110 km at low latitude, are studied. In particular, incoherent scatter radar (ISR), sodium lidar and airglow spectrometry are used to study the ionospheric structure and neutral sodium structure. The simultaneous study of the ionospheric plasma and neutral atomic sodium is unprecedented in scope and detail. The joint study of the mesopause region reveals that plasma, neutral densities and temperature are interconnected through the same atmospheric dynamics. The theme of the thesis is to explain the formation of the controversial sporadic sodium layer (SSL) events. Strong correlation is established between the average total ion and sodium concentrations, and between sporadic-E and SSL events. The mechanism proposed in the thesis, which invokes temperature fluctuations induced by tides and gravity waves, finds good agreement with observations. Tides and gravity waves can converge ions into thin layers through the windshear mechanisms and can influence the concentration of atomic sodium through temperature fluctuations. Sodium abundance is shown to augment rapidly when the temperature is increased. Gravity wave theory states that the ion convergence node coincides with a temperature maximum for a westward propagating gravity wave, and coincides with a temperature minimum for an eastward propagating wave. Because tidal winds propagate westward, the ion layer coincides with the temperature maximum which consequently induces higher sodium concentration. This can account for the general correlation between sodium and total ion concentration and is supported by the O2(0-1) rotational temperature. Gravity waves and their interaction with tidal winds are believed to be responsible for the close association between sudden sodium layers and sporadic-E layers.

Zhou, Qihou.

1991-01-01T23:59:59.000Z

129

Horizontal-Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures  

SciTech Connect (OSTI)

Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--has been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAAs High Resolution Doppler Lidar (HRDL), which have been shown to be numerically equivalent to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance ?u2 were computed from HRDL measurements of the line-of-sight (LOS) velocity using a technique described in Banta, et al. (2002). The technique was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. It then describes several series of averaging tests that produced the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal velocity variance ?u2. The results show high correlation (0.71-0.97) of the mean U and average wind speed measured by sodar and in-situ instruments, independent of sampling strategies and averaging procedures. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging techniques.

Pichugina, Yelena L.; Banta, Robert M.; Kelley, Neil D.; Jonkman, Bonnie J.; Tucker, Sara C.; Newsom, Rob K.; Brewer, W. A.

2008-08-01T23:59:59.000Z

130

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave radiometer data are systematically compared to models to quantify and  

E-Print Network [OSTI]

Cloud fraction, liquid and ice water contents derived from long-term radar, lidar, and microwave a systematic evaluation of clouds in forecast models. Clouds and their associated microphysical processes for end users of weather forecasts, who may be interested not only in cloud cover, but in other variables

Hogan, Robin

131

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data  

E-Print Network [OSTI]

Evaluation of Cloud-Phase Retrieval Methods for SEVIRI on Meteosat-8 Using Ground-Based Lidar and Cloud Radar Data ERWIN L. A. WOLTERS, ROBERT A. ROEBELING, AND ARNOUT J. FEIJT Royal Netherlands 2007) ABSTRACT Three cloud-phase determination algorithms from passive satellite imagers are explored

Stoffelen, Ad

132

A comparison of automated land cover/use classification methods for a Texas bottomland hardwood system using lidar, spot-5, and ancillary data  

E-Print Network [OSTI]

decisions affecting these disappearing systems. SPOT-5 imagery from 2005 was combined with Light Detection and Ranging (LiDAR) data from 2006 and several ancillary datasets to map a portion of the bottomland hardwood system found in the Sulphur River Basin...

Vernon, Zachary Isaac

2009-05-15T23:59:59.000Z

133

SilviLaser 2011, Oct. 16-19, 2011 Hobart, Australia Towards automated and operational forest inventories with T-Lidar  

E-Print Network [OSTI]

inventories with T-Lidar A. Othmani1 , A. Piboule2 , M. Krebs3 , C. Stolz1 and L.F.C. Lew Yan Voon1 1 Cluny, France, michael.krebs@ensam.eu Keywords: terrestrial laser scanning, forest inventory, tree detection, DBH. Abstract Forest inventory automation has become a major issue in forestry. The complexity

Paris-Sud XI, Université de

134

LIDAR Wind Speed Measurement Analysis and Feed-Forward Blade Pitch Control for Load Mitigation in Wind Turbines: January 2010--January 2011  

SciTech Connect (OSTI)

This report examines the accuracy of measurements that rely on Doppler LIDAR systems to determine their applicability to wind turbine feed-forward control systems and discusses feed-forward control system designs that use preview wind measurements. Light Detection and Ranging (LIDAR) systems are able to measure the speed of incoming wind before it interacts with a wind turbine rotor. These preview wind measurements can be used in feed-forward control systems designed to reduce turbine loads. However, the degree to which such preview-based control techniques can reduce loads by reacting to turbulence depends on how accurately the incoming wind field can be measured. The first half of this report examines the accuracy of different measurement scenarios that rely on coherent continuous-wave or pulsed Doppler LIDAR systems to determine their applicability to feed-forward control. In particular, the impacts of measurement range and angular offset from the wind direction are studied for various wind conditions. A realistic case involving a scanning LIDAR unit mounted in the spinner of a wind turbine is studied in depth with emphasis on choices for scan radius and preview distance. The effects of turbulence parameters on measurement accuracy are studied as well. Continuous-wave and pulsed LIDAR models based on typical commercially available units were used in the studies present in this report. The second half of this report discusses feed-forward control system designs that use preview wind measurements. Combined feedback/feed-forward blade pitch control is compared to industry standard feedback control when simulated in realistic turbulent above-rated winds. The feed-forward controllers are designed to reduce fatigue loads, increasing turbine lifetime and therefore reducing the cost of energy. Three feed-forward designs are studied: non-causal series expansion, Preview Control, and optimized FIR filter. The input to the feed-forward controller is a measurement of incoming wind speeds that could be provided by LIDAR. Non-causal series expansion and Preview Control methods reduce blade root loads but increase tower bending in simulation results. The optimized FIR filter reduces loads overall, keeps pitch rates low, and maintains rotor speed regulation and power capture, while using imperfect wind measurements provided by the spinning continuous-wave LIDAR model.

Dunne, F.; Simley, E.; Pao, L.Y.

2011-10-01T23:59:59.000Z

135

Analysis of mixing layer heights inferred from radiosonde, wind profiler, airborne lidar, airborne microwave temperature profiler, and in-situ aircraft data during the Texas 2000 air quality study in Houston, TX  

E-Print Network [OSTI]

The mixing layer (ML) heights inferred from radiosondes, wind profilers, airborne lidar, airborne microwave temperature profiler (MTP), and in-situ aircraft data were compared during the Texas 2000 Air Quality Study in the Houston area...

Smith, Christina Lynn

2005-08-29T23:59:59.000Z

136

Horizontal Velocity and Variance Measurements in the Stable Boundary Layer Using Doppler Lidar: Sensitivity to Averaging Procedures  

SciTech Connect (OSTI)

Quantitative data on turbulence variables aloft--above the region of the atmosphere conveniently measured from towers--have been an important but difficult measurement need for advancing understanding and modeling of the stable boundary layer (SBL). Vertical profiles of streamwise velocity variances obtained from NOAA's high-resolution Doppler lidar (HRDL), which have been shown to be approximately equal to turbulence kinetic energy (TKE) for stable conditions, are a measure of the turbulence in the SBL. In the present study, the mean horizontal wind component U and variance {sigma}2u were computed from HRDL measurements of the line-of-sight (LOS) velocity using a method described by Banta et al., which uses an elevation (vertical slice) scanning technique. The method was tested on datasets obtained during the Lamar Low-Level Jet Project (LLLJP) carried out in early September 2003, near the town of Lamar in southeastern Colorado. This paper compares U with mean wind speed obtained from sodar and sonic anemometer measurements. The results for the mean U and mean wind speed measured by sodar and in situ instruments for all nights of LLLJP show high correlation (0.71-0.97), independent of sampling strategies and averaging procedures, and correlation coefficients consistently >0.9 for four high-wind nights, when the low-level jet speeds exceeded 15 m s{sup -1} at some time during the night. Comparison of estimates of variance, on the other hand, proved sensitive to both the spatial and temporal averaging parameters. Several series of averaging tests are described, to find the best correlation between TKE calculated from sonic anemometer data at several tower levels and lidar measurements of horizontal-velocity variance {sigma}{sup 2}{sub u}. Because of the nonstationarity of the SBL data, the best results were obtained when the velocity data were first averaged over intervals of 1 min, and then further averaged over 3-15 consecutive 1-min intervals, with best results for the 10- and 15-min averaging periods. For these cases, correlation coefficients exceeded 0.9. As a part of the analysis, Eulerian integral time scales ({tau}) were estimated for the four high-wind nights. Time series of {tau} through each night indicated erratic behavior consistent with the nonstationarity. Histograms of {tau} showed a mode at 4-5 s, but frequent occurrences of larger {tau} values, mostly between 10 and 100 s.

Pichugina, Y. L.; Banta, R. M.; Kelley, N. D.; Jonkman, B. J.; Tucker, S. C.; Newsom, R. K.; Brewer, W. A.

2008-08-01T23:59:59.000Z

137

All Sky Camera, LIDAR and Electric Field Meter: auxiliary instruments for the ASTRI SST-2M prototype  

E-Print Network [OSTI]

ASTRI SST-2M is the end-to-end prototype telescope of the Italian National Institute of Astro- physics, INAF, designed to investigate the 10-100 TeV band in the framework of the Cherenkov Telescope Array, CTA. The ASTRI SST-2M telescope has been installed in Italy in September 2014, at the INAF ob- serving station located at Serra La Nave on Mount Etna. The telescope is foreseen to be completed and fully operative in spring 2015 including auxiliary instrumentation needed to support both operations and data anal- ysis. In this contribution we present the current status of a sub-set of the auxiliary instruments that are being used at the Serra La Nave site, namely an All Sky Camera, an Electric Field Meter and a Raman Lidar devoted, together with further instrumentation, to the monitoring of the atmospheric and environmental conditions. The data analysis techniques under development for these instruments could be applied at the CTA sites, where similar auxiliary instrumentation will be installed.

Leto, Giuseppe; Bellassai, Giancarlo; Bruno, Pietro; Maccarone, Maria Concetta; Martinetti, Eugenio

2015-01-01T23:59:59.000Z

138

Airborne Multiwavelength High-Spectral-Resolution Lidar (HSRL-2) Observations During TCAP 2012: Vertical Proles of Optical and Microphysical Properties of a Smoke/Urban Haze Plume Over the Northeastern Coast of the US  

SciTech Connect (OSTI)

We present rst measurements with the rst airborne multiwavelength High-Spectral Resolution Lidar (HSRL-2), developed by NASA Langley Research Center. The instrument was operated during the Department of Energy (DOE) Two-Column Aerosol Project (TCAP) in July 2012. We observed out ow of urban haze and fresh biomass burning smoke from the East Coast of the US out over the West Atlantic Ocean. Lidar ratios at 355 and 532 nm were ... sr indicating moderately absorbing aerosols. Extinctionrelated Angstrom exponents were 1.5{2 pointing at comparably small particles. Our novel automated, unsupervised data inversion algorithm retrieves particle e*ective radii of approximately 0.2 *m, which is in agreement with the large Angstrom exponents. We nd reasonable agreement to particle size parameters obtained from situ measurements carried out with the DOE G-1 aircraft that ew during the lidar observations.

Muller, Detlef; Hostetler, Chris A.; Ferrare, R. A.; Burton, S. P.; Chemyakin, Eduard; Kolgotin, A.; Hair, John; Cook, A. L.; Harper, David; Rogers, R. R.; Hare, Rich; Cleckner, Craig; Obland, Michael; Tomlinson, Jason M.; Berg, Larry K.; Schmid, Beat

2014-10-10T23:59:59.000Z

139

The Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured Fluxes and Lidar/Radar Profiles at SIRTA Atmospheric Observatory  

SciTech Connect (OSTI)

Ice clouds play a major role in the radiative energy budget of the Earth-atmosphere system (Liou 1986). Their radiative effect is governed primarily by the equilibrium between their albedo and greenhouse effects. Both macrophysical and microphysical properties of ice clouds regulate this equilibrium. For quantifying the effect of these clouds onto climate and weather systems, they must be properly characterized in atmospheric models. In this paper we use remote-sensing measurements from the SIRTA ground based atmospheric observatory (Site Instrumental de Recherche par Teledetection Atmospherique, http://sirta.lmd.polytechnique.fr). Lidar and radar observations taken over 18 months are used, in order to gain statistical confidence in the model evaluation. Along this period of time, 62 days are selected for study because they contain parts of ice clouds. We use the ''model to observations'' approach by simulating lidar and radar signals from MM5 outputs. Other more classical variables such as shortwave and longwave radiative fluxes are also used. Four microphysical schemes, among which that proposed by Reisner et al. (1998) with original or modified parameterizations of particle terminal fall velocities (Zurovac-Jevtic and Zhang 2003, Heymsfield and Donner 1990), and the simplified Dudhia (1989) scheme are evaluated in this study.

Chiriaco, M.; Vautard, R.; Chepfer, H.; Haeffelin, M.; Wanherdrick, Y.; Morille, Y.; Protat, A.; Dudhia, J.

2005-03-18T23:59:59.000Z

140

Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties  

SciTech Connect (OSTI)

The project is mainly focused on the characterization of cloud macrophysical and microphysical properties, especially for mixed-phased clouds and middle level ice clouds by combining radar, lidar, and radiometer measurements available from the ACRF sites. First, an advanced mixed-phase cloud retrieval algorithm will be developed to cover all mixed-phase clouds observed at the ACRF NSA site. The algorithm will be applied to the ACRF NSA observations to generate a long-term arctic mixed-phase cloud product for model validations and arctic mixed-phase cloud processes studies. To improve the representation of arctic mixed-phase clouds in GCMs, an advanced understanding of mixed-phase cloud processes is needed. By combining retrieved mixed-phase cloud microphysical properties with in situ data and large-scale meteorological data, the project aim to better understand the generations of ice crystals in supercooled water clouds, the maintenance mechanisms of the arctic mixed-phase clouds, and their connections with large-scale dynamics. The project will try to develop a new retrieval algorithm to study more complex mixed-phase clouds observed at the ACRF SGP site. Compared with optically thin ice clouds, optically thick middle level ice clouds are less studied because of limited available tools. The project will develop a new two wavelength radar technique for optically thick ice cloud study at SGP site by combining the MMCR with the W-band radar measurements. With this new algorithm, the SGP site will have a better capability to study all ice clouds. Another area of the proposal is to generate long-term cloud type classification product for the multiple ACRF sites. The cloud type classification product will not only facilitates the generation of the integrated cloud product by applying different retrieval algorithms to different types of clouds operationally, but will also support other research to better understand cloud properties and to validate model simulations. The ultimate goal is to improve our cloud classification algorithm into a VAP.

Wang, Zhien

2010-06-29T23:59:59.000Z

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141

The Mid-Latitude Continental Convective Clouds Experiment (MC3E)  

SciTech Connect (OSTI)

The Midlatitude Continental Convective Cloud Experiment (MC3E) will take place in central Oklahoma during the April-May 2011 period. The experiment is a collaborative effort between the U.S. Department of Energy Atmospheric Radition Measurement Program and the National Aeronautics and Space Administration's (NASA) Global Precipitation Measurement (GPM) mission Ground Validation program. The Intensive Observation Period leverages the unprecedented observing infrastructure currently available in the central United States, combined with an extensive sounding array, remote sensing and in situ aircraft observations, NASA GPM ground validation remote sensors and new ARM instrumentation purchased with American Recovery and Reinvestment Act funding. The overarching goal is to provide the most complete characterization of convective cloud systems, precipitation and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall observations over land that have never before been available. Several different components of convective processes tangible to the convective parameterization problem are targeted such as, pre-convective environment and convective initiation, updraft / downdraft dynamics, condensate transport and detrainment, precipitation and cloud microphysics, influence on the environment and radiation and a detailed description of the large-scale forcing. MC3E will use a new multi-scale observing strategy with the participation of a network of distributed sensors (both passive and active). The approach is to document in 3-D not only the full spectrum of precipitation rates, but also clouds, winds and moisture in an attempt to provide a holistic view of convective clouds and their feedback with the environment. A goal is to measure cloud and precipitation transitions and environmental quantities that are important for satellite retrieval algorithms, convective parameterization in large-scale models and cloud-resolving model simulations. This will be accomplished through the deployment of several different elements that complement the existing (and soon to become available) ARM facilities: a network of radiosonde stations, NASA scanning multi-frequency/parameter radar systems at three different frequencies (Ka/Ku/S), high-altitude remote sensing and in situ aircraft, wind profilers and a network of surface disdrometers. In addition to these special MC3E instruments, there will be important new instrumentation deployed by DOE at the ARM site including: 3 networked scanning X-band radar systems, a C-band scanning radar, a dual wavelength (Ka/W) scanning cloud radar, a Doppler lidar and upgraded vertically pointing millimeter cloud radar (MMCR) and micropulse lidar (MPL).To fully describe the properties of precipitating cloud systems, both in situ and remote sensing airborne observations are necessary. The NASA GPM-funded University of North Dakota (UND) Citation will provide in situ observations of precipitation-sized particles, ice freezing nuclei and aerosol concentrations. As a complement to the UND Citation's in situ observations, the NASA ER-2 will provide a high altitude satellite simulator platform that carrying a Ka/Ku band radar and passive microwave radiometers (10-183 GHZ).

Petersen,W.; Jensen,M.; Genio, A. D.; Giangrande, S.; Heymsfield, A.; Heymsfield, G.; Hou, A.; Kollias, P.; Orr, B.; Rutledge, S.; Schwaller, M.; Zipser, E.

2010-03-15T23:59:59.000Z

142

High Spectral Resolution Infrared and Raman Lidar Observations for the ARM Program: Clear and Cloudy Sky Applications  

SciTech Connect (OSTI)

This grant began with the development of the Atmospheric Emitted Radiance Interferometer (AERI) for ARM. The AERI has provided highly accurate and reliable observations of downwelling spectral radiance (Knuteson et al. 2004a, 2004b) for application to radiative transfer, remote sensing of boundary layer temperature and water vapor, and cloud characterization. One of the major contributions of the ARM program has been its success in improving radiation calculation capabilities for models and remote sensing that evolved from the multi-year, clear-sky spectral radiance comparisons between AERI radiances and line-by-line calculations (Turner et al. 2004). This effort also spurred us to play a central role in improving the accuracy of water vapor measurements, again helping ARM lead the way in the community (Turner et al. 2003a, Revercomb et al. 2003). In order to add high-altitude downlooking AERI-like observations over the ARM sites, we began the development of an airborne AERI instrument that has become known as the Scanning High-resolution Interferometer Sounder (Scanning-HIS). This instrument has become an integral part of the ARM Unmanned Aerospace Vehicle (ARM-UAV) program. It provides both a cross-track mapping view of the earth and an uplooking view from the 12-15 km altitude of the Scaled Composites Proteus aircraft when flown over the ARM sites for IOPs. It has successfully participated in the first two legs of the grand tour of the ARM sites (SGP and NSA), resulting in a very good comparison with AIRS observations in 2002 and in an especially interesting data set from the arctic during the Mixed-Phase Cloud Experiment (M-PACE) in 2004. More specifically, our major achievements for ARM include 1. Development of the Atmospheric Emitted Radiance Interferometer (AERI) to function like a satellite on the ground for ARM, providing a steady stream of accurately calibrated spectral radiances for Science Team clear sky and cloud applications (Knuteson et al. 2004a), 2. Detailed radiometric calibration and characterization of AERI radiances, with uncertainty estimates established from complete error analyses and proven by inter-comparison tests (Knuteson et al. 2004b), 3. AERI data quality assessment and maintenance over the extended time frames needed to support ARM (Dedecker et al., 2005) 4. Key role in the radiative transfer model improvements from the AERI/LBLRTM QME (Turner et al. 2004) and AERI-ER especially from the SHEBA experiment (Tobin et al. 1999), 5. Contributed scientific and programmatic leadership leading to significant water vapor accuracy improvements and uncertainty assessments for the low to mid troposphere (Turner et al. 2003a, Revercomb et al. 2003), 6. Leadership of the ARM assessment of the accuracy of water vapor observations from radiosondes, Raman Lidar and in situ aircraft observations in the upper troposphere and lower stratosphere (Tobin et al. 2002, Ferrare et al. 2004), 7. New techniques for characterizing clouds from AERI (DeSlover et al. 1999, Turner 2003b, Turner et al. 2003b), 8. Initial design and development of the Scanning-HIS aircraft instrument and application to ARM UAV Program missions (Revercomb et al. 2005), and 9. Coordinated efforts leading to the use of ARM observations as a key validation tool for the high resolution Atmospheric IR Sounder on the NASA Aqua platform (Tobin et al. 2005a) 10. Performed ARM site and global clear sky radiative closure studies that shows closure of top-of-atmosphere flux at the level of ~1 W/m2 (Moy et al 2008 and Section 3 of this appendix) 11. Performed studies to characterize SGP site cirrus cloud property retrievals and assess impacts on computed fluxes and heating rate profiles (Borg et al. 2008 and Section 2 of this appendix).

Henry Revercomb, David Tobin, Robert Knuteson, Lori Borg, Leslie Moy

2009-06-17T23:59:59.000Z

143

ARM - Measurement - Lidar polarization  

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144

Raman Lidar Receives Improvements  

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145

QUANTIFYING FOREST ABOVEGROUND CARBON POOLS AND FLUXES USING MULTI-TEMPORAL LIDAR A report on field monitoring, remote sensing MMV, GIS integration, and modeling results for forestry field validation test to quantify aboveground tree biomass and carbon  

SciTech Connect (OSTI)

Sound policy recommendations relating to the role of forest management in mitigating atmospheric carbon dioxide (CO{sub 2}) depend upon establishing accurate methodologies for quantifying forest carbon pools for large tracts of land that can be dynamically updated over time. Light Detection and Ranging (LiDAR) remote sensing is a promising technology for achieving accurate estimates of aboveground biomass and thereby carbon pools; however, not much is known about the accuracy of estimating biomass change and carbon flux from repeat LiDAR acquisitions containing different data sampling characteristics. In this study, discrete return airborne LiDAR data was collected in 2003 and 2009 across {approx}20,000 hectares (ha) of an actively managed, mixed conifer forest landscape in northern Idaho, USA. Forest inventory plots, established via a random stratified sampling design, were established and sampled in 2003 and 2009. The Random Forest machine learning algorithm was used to establish statistical relationships between inventory data and forest structural metrics derived from the LiDAR acquisitions. Aboveground biomass maps were created for the study area based on statistical relationships developed at the plot level. Over this 6-year period, we found that the mean increase in biomass due to forest growth across the non-harvested portions of the study area was 4.8 metric ton/hectare (Mg/ha). In these non-harvested areas, we found a significant difference in biomass increase among forest successional stages, with a higher biomass increase in mature and old forest compared to stand initiation and young forest. Approximately 20% of the landscape had been disturbed by harvest activities during the six-year time period, representing a biomass loss of >70 Mg/ha in these areas. During the study period, these harvest activities outweighed growth at the landscape scale, resulting in an overall loss in aboveground carbon at this site. The 30-fold increase in sampling density between the 2003 and 2009 did not affect the biomass estimates. Overall, LiDAR data coupled with field reference data offer a powerful method for calculating pools and changes in aboveground carbon in forested systems. The results of our study suggest that multitemporal LiDAR-based approaches are likely to be useful for high quality estimates of aboveground carbon change in conifer forest systems.

Lee Spangler; Lee A. Vierling; Eva K. Stand; Andrew T. Hudak; Jan U.H. Eitel; Sebastian Martinuzzi

2012-04-01T23:59:59.000Z

146

Thin and thick cloud top height retrieval algorithm with the Infrared Camera and LIDAR of the JEM-EUSO Space Mission  

E-Print Network [OSTI]

The origin of cosmic rays have remained a mistery for more than a century. JEM-EUSO is a pioneer space-based telescope that will be located at the International Space Station (ISS) and its aim is to detect Ultra High Energy Cosmic Rays (UHECR) and Extremely High Energy Cosmic Rays (EHECR) by observing the atmosphere. Unlike ground-based telescopes, JEM-EUSO will observe from upwards, and therefore, for a properly UHECR reconstruction under cloudy conditions, a key element of JEM-EUSO is an Atmospheric Monitoring System (AMS). This AMS consists of a space qualified bi-spectral Infrared Camera, that will provide the cloud coverage and cloud top height in the JEM-EUSO Field of View (FoV) and a LIDAR, that will measure the atmospheric optical depth in the direction it has been shot. In this paper we will explain the effects of clouds for the determination of the UHECR arrival direction. Moreover, since the cloud top height retrieval is crucial to analyze the UHECR and EHECR events under cloudy conditions, the ret...

Sez-Cano, G; del Peral, L; Neronov, A; Wada, S; Fras, M D Rodrguez

2015-01-01T23:59:59.000Z

147

Microscale Depletion of High Abundance Proteins in Human Biofluids using  

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148

Microscopic Characterization of Carbonaceous Aerosol Particle Aging in the  

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149

Microscopic Reactive Diffusion of Uranium in the Contaminated Sediments at  

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150

Microscopy (XSD-MIC)  

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151

Microscopy with Slow Electrons: From LEEM to XPEEM  

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152

Microseismic Tracer Particles for Hydraulic Fracturing  

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153

Microsoft BPA proposal extends Port Townsend Paper contract nine years  

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154

Microsoft Photo Editor - Slide1.JPG  

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155

Microsoft PowerPoint - 00_agenda_02_ops_in_fy13.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9 12 BONNEVILLE12

156

Microsoft PowerPoint - 01XEPO-0_SystemOverview.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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157

Microsoft PowerPoint - 01_Schmid_AWG_Monterey_Intro.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9 12STM, Monterey,

158

Microsoft PowerPoint - 02.11.2010_Smart Grid Conference.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9 12STM,

159

Microsoft PowerPoint - 02XEPO-0_Lustre.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9 12STM,Lustre File

160

Microsoft PowerPoint - 02_A_AWG_Monterey_ALIVE_Schmid_short.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9 12STM,Lustre

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Microsoft PowerPoint - 02_C_knobelsp.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9

162

Microsoft PowerPoint - 03.2010_Metering Billing MDM America.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING

163

Microsoft PowerPoint - 03072012 ModSim_Industry_Montgomery.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- An

164

Microsoft PowerPoint - 0326_clowd.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- AnCLOWD

165

Microsoft PowerPoint - 0326_jensen.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING-

166

Microsoft PowerPoint - 03_McFarlane_AWG.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- D t A l

167

Microsoft PowerPoint - 04_bedka_turner_awg_advertisement.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- D t A

168

Microsoft PowerPoint - 05_ARM 2007 Meeting.ppt [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- D t

169

Microsoft PowerPoint - 06_ARM_AWG_Lacis_2007.ppt [Compatibility Mode]  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- D t

170

Microsoft PowerPoint - 0709-NERSC-XT+ToolsTutorial.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING- D

171

Microsoft PowerPoint - 0709-NERSC-XT+ToolsTutorial.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse Lidar9METERING-

172

Using Radar, Lidar and Radiometer Data from NSA and SHEBA to Quantify Cloud Property Effects on the Surface Heat Budget in the Arctic  

SciTech Connect (OSTI)

Cloud and radiation data from two distinctly different Arctic areas are analyzed to study the differences between coastal Alaskan and open Arctic Ocean region clouds and their respective influence on the surface radiation budget. The cloud and radiation datasets were obtained from (1) the DOE North Slope of Alaska (NSA) facility in the coastal town of Barrow, Alaska, and (2) the SHEBA field program, which was conducted from an icebreaker frozen in, and drifting with, the sea-ice for one year in the Western Arctic Ocean. Radar, lidar, radiometer, and sounding measurements from both locations were used to produce annual cycles of cloud occurrence and height, atmospheric temperature and humidity, surface longwave and shortwave broadband fluxes, surface albedo, and cloud radiative forcing. In general, both regions revealed a similar annual trend of cloud occurrence fraction with minimum values in winter (60-75%) and maximum values during spring, summer and fall (80-90%). However, the annual average cloud occurrence fraction for SHEBA (76%) was lower than the 6-year average cloud occurrence at NSA (92%). Both Arctic areas also showed similar annual cycle trends of cloud forcing with clouds warming the surface through most of the year and a period of surface cooling during the summer, when cloud shading effects overwhelm cloud greenhouse effects. The greatest difference between the two regions was observed in the magnitude of the cloud cooling effect (i.e., shortwave cloud forcing), which was significantly stronger at NSA and lasted for a longer period of time than at SHEBA. This is predominantly due to the longer and stronger melt season at NSA (i.e., albedo values that are much lower coupled with Sun angles that are somewhat higher) than the melt season observed over the ice pack at SHEBA. Longwave cloud forcing values were comparable between the two sites indicating a general similarity in cloudiness and atmospheric temperature and humidity structure between the two regions.

Janet Intrieri; Mathhew Shupe

2005-01-01T23:59:59.000Z

173

Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

Gangodagamage, Chandana; Wullschleger, Stan

174

Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data  

SciTech Connect (OSTI)

The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

Gangodagamage, Chandana; Wullschleger, Stan

2014-07-03T23:59:59.000Z

175

An Assessment of MultiAngle Imaging SpectroRadiometer (MISR) Stereo-Derived Cloud Top Heights and cloud top winds using ground-based radar, lidar, and microwave radiometers  

SciTech Connect (OSTI)

Clouds are of tremendous importance to climate because of their direct radiative effects and because of their role in atmospheric dynamics and the hydrological cycle. The value of satellite imagery in monitoring cloud properties on a global basis can hardly be understated. One cloud property that satellites are in an advantageous position to monitor is cloud top height. Cloud top height retrievals are especially important for MISR because the derived height field is used to co-register the measured radiances. In this presentation we show the results of an ongoing comparison between ground-based millimeter-wave cloud radar and lidar measurements of cloud top and MISR stereo-derived cloud top height. This comparison is based on data from three radar systems located in the U.S Southern Great Plains (Lamont, Oklahoma), the Tropical Western Pacific (Nauru Island) and the North Slope of Alaska (Barrow, Alaska). These radars are operated as part of the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) program. The MISR stereo height algorithm is performing largely as expected for most optically thick clouds. As with many satellite retrievals, the stereo-height retrieval has difficulty with optically thin clouds or ice clouds with little optical contrast near cloud top.

Marchand, Roger T.; Ackerman, Thomas P.; Moroney, C.

2007-03-17T23:59:59.000Z

176

Development and Deployment of a Compact Eye-Safe Scanning Differential absorption Lidar (DIAL) for Spatial Mapping of Carbon Dioxide for Monitoring/Verification/Accounting at Geologic Sequestration Sites  

SciTech Connect (OSTI)

A scanning differential absorption lidar (DIAL) instrument for monitoring carbon dioxide has been developed. The laser transmitter uses two tunable discrete mode laser diodes (DMLD) operating in the continuous wave (cw) mode with one locked to the online absorption wavelength and the other operating at the offline wavelength. Two in-line fiber optic switches are used to switch between online and offline operation. After the fiber optic switch, an acousto- optic modulator (AOM) is used to generate a pulse train used to injection seed an erbium doped fiber amplifier (EDFA) to produce eye-safe laser pulses with maximum pulse energies of 66 {micro}J, a pulse repetition frequency of 15 kHz, and an operating wavelength of 1.571 {micro}m. The DIAL receiver uses a 28 cm diameter Schmidt-Cassegrain telescope to collect that backscattered light, which is then monitored using a photo-multiplier tube (PMT) module operating in the photon counting mode. The DIAL instrument has been operated from a laboratory environment on the campus of Montana State University, at the Zero Emission Research Technology (ZERT) field site located in the agricultural research area on the western end of the Montana State University campus, and at the Big Sky Carbon Sequestration Partnership site located in north-central Montana. DIAL data has been collected and profiles have been validated using a co-located Licor LI-820 Gas Analyzer point sensor.

Repasky, Kevin

2014-03-31T23:59:59.000Z

177

Sandia Multispectral Airborne Lidar for UAV Deployment  

SciTech Connect (OSTI)

Sandia National Laboratories has initiated the development of an airborne system for W laser remote sensing measurements. System applications include the detection of effluents associated with the proliferation of weapons of mass destruction and the detection of biological weapon aerosols. This paper discusses the status of the conceptual design development and plans for both the airborne payload (pointing and tracking, laser transmitter, and telescope receiver) and the Altus unmanned aerospace vehicle platform. Hardware design constraints necessary to maintain system weight, power, and volume limitations of the flight platform are identified.

Daniels, J.W.; Hargis,Jr. P.J.; Henson, T.D.; Jordan, J.D.; Lang, A.R.; Schmitt, R.L.

1998-10-23T23:59:59.000Z

178

LiDAR | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place:Keystone CleanLaton,LearnLeupp SchoolLewisville isLiDAR

179

Simplified Homodyne Detection for FM Chirped Lidar  

E-Print Network [OSTI]

..........................................................................................40 Thermal Noise....................................................................................................41 Quantum (Shot) Noise.......................................................................................42 Additive White....6 Ideal fiber (left) and with stress-induced birefringence (right)...............29 Figure 2.7 PM fiber, panda (left) and bow-tie (right)..............................................29 Figure 2.8 EOM diagram...

Adany, Peter

2007-12-14T23:59:59.000Z

180

ARM - Campaign Instrument - co2lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation DesertgovInstrumentsap-surf Comments? We would love tocryo Comments? Weair Comments? Welidar

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

ARM - Campaign Instrument - lidar-dial  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation DesertgovInstrumentsap-surf Comments? WegovInstrumentsirsigovInstrumentslidar-dial Comments?

182

9/2/08 9:42 AMRice professor: Granite countertops may cause you harm | Chron.com -Houston Chronicle Page 1 of 3http://www.chron.com/disp/story.mpl/moms/5908630.html  

E-Print Network [OSTI]

9/2/08 9:42 AMRice professor: Granite countertops may cause you harm | Chron.com - Houston Be wary of granite that glows Rice professor says countertops may be tainted with uranium By ALLAN TURNER. Some granite countertops, he says, contain high levels of uranium, which, by generating gamma radiation

Llope, William J.

183

10/09/2006 11:36 AMHoustonChronicle.com -Scientists Build Better Navigation Aids Page 1 of 2http://www.chron.com/cs/CDA/printstory.mpl/ap/fn/4244257  

E-Print Network [OSTI]

_ such as inside an office _ is a much greater challenge. Locator equipment based on Global Positioning System GPS leaves off. Its System for Wearable Audio Navigation, or SWAN, consists of a wearable computer and obstacles are. A compass establishes direction. And an inertia detector tracks the roll, pitch and yaw

184

An example of constrained evolution: June 13, 2006 A.Alekseenko  

E-Print Network [OSTI]

to the equation Lpqr lij pqr = lij, are given by = 3 2 : 1pqr = 1 3 [2npm(qlr) - mpl(qnr) - lpn(qmr)] 2pqr = mpl(q - npn(q)mr)] 5pqr = 1 3 [lp(nqnr - mqmr) - (npn(q - mpm(q)lr)] = 0 : 6pqr = npm(qlr) + mpl(qnr) + lpn

Alekseenko, Alexander

185

Facies Analysis, Reservoir Characterization, and LIDAR Modeling of an Eocene  

E-Print Network [OSTI]

and Dean, 1982; Westcott, 1992; Giosan and Bhattacharya, 2005). Reservoir complexity in marginal lacustrine

Johnson, Cari

186

Lane estimation for autonomous vehicles using vision and LIDAR  

E-Print Network [OSTI]

Autonomous ground vehicles, or self-driving cars, require a high level of situational awareness in order to operate safely and eciently in real-world conditions. A system able to quickly and reliably estimate the location ...

Huang, Albert Shuyu

2010-01-01T23:59:59.000Z

187

angle imaging lidar: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

sensing. I. David J. Diner; Jewel C. Beckert; Terrence H. Reilly; Carol J. Bruegge; James E. Conel; Ralph A. Kahn; John V. Martonchik; Thomas P. Ackerman; Roger Davies;...

188

Wind velocity measurements using a pulsed LIDAR system: first results  

E-Print Network [OSTI]

. A laser beam of 1.54 m wavelength takes measurements of the wind speed in beamwise direction. To obtain the three-dimensinal wind vector, the beam is inclined by 30 from vertical direction and measurements 12345 t [s] vh[m/s] Figure 2. Segment of measured time series of the horizontal wind speed magnitude vh

Peinke, Joachim

189

AIRBORNE HIGH SPECTRAL RESOLUTION LIDAR MEASUREMENTS OF ATMOSPHERIC AEROSOLS  

E-Print Network [OSTI]

the evolution and transport of pollution from Mexico City. The second major experiment was the Texas Air Quality Union 2007 Joint Assembly Acapulco, Mexico May 22-25, 2007 Environmental Sciences Department Research Observations (MILAGRO) /Megacity Aerosol Experiment in Mexico City (MAX

190

Simulated performance of an airborne lidar wind shear detection system  

E-Print Network [OSTI]

in the microburst test case. Journal model is Applied Optics. CHAPTER II THE WIND SHEAR HAZARD 2. 1 The Wind Shear Phenomenon Wind shear can be defined as a change in wind direction and/or speed over relatively short distances. i Wind shear can occur at any... and sea ? breeze fronts. These clear air winds move at speeds of 15 to 40 knots over large distances. rhtrrM~s Prost i ? arhiog the ar e of t a sitio bet eea t o separate ai masses having different temperatures and humidities. The change in wind...

Griffith, Kenneth Scott

2012-06-07T23:59:59.000Z

191

aircraft merged lidar: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

them. Federations are unions of DBMs the size of federations and how to choose some DBMs to merge them into a larger one is a combi- natorial David, Alexandre 110 Web...

192

LiDAR (Laney, 2005) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden, NewLiDAR

193

LiDAR (Lewicki & Oldenburg) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden,

194

LiDAR (Lewicki & Oldenburg, 2004) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington:Lakeville,LeightonLeola,Meadow,LevyLexingtonLeyden,Oldenburg,

195

LiDAR (Lewicki & Oldenburg, 2005) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,

196

LiDAR (Monaster And Coolbaugh, 2007) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, search GEOTHERMAL

197

LiDAR Technology | netl.doe.gov  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6, 2011 LawrenceE C HLesterDepartment ofLewis

198

ARM - PI Product - Finnish Meteorological Institute Doppler Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUC : XDCResearchWarmingMethaneProductsCSSEF ARMBE ARMInhibitionProductsFinnish

199

ARM - PI Product - Raman lidar/AERI PBL Height Product  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc Documentation RUC :

200

Automatic Construction of Building Footprints from Airborne LIDAR Data  

E-Print Network [OSTI]

data are essential for construc- tion of urban landscape models, assessment of urban heat island effect for extraction of building footprints. Manual derivation of building geometric data from a remote sensing image due to the influence of sun shadow and relief displacement of high buildings in remote sensing images

Chen, Shu-Ching

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

ARM - Evaluation Product - Derived Wind Profiles from Doppler Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborne Visible/Infrared Imagingproperties ProductsCritical

202

ARM - Field Campaign - Aerosol Lidar Validation Experiment - ALIVE  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3, 2010SeptemberInfrared SpectralgovCampaignsAerosol

203

ARM - Field Campaign - Boundary Layer CO2 Using CW Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,Cloud OD Sensor TWST Cloud OD Sensor

204

ARM - Field Campaign - Lidar support for ICECAPS at Summit, Greenland  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR Cloud CameraClouds

205

ARM - Field Campaign - M-PACE - Polarization Diversity Lidar (PDL)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR CloudgovCampaignsLower Atmospheric-

206

ARM - Field Campaign - M-PACE HSR Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience4AJ01)3,CloudgovCampaignsIR CloudgovCampaignsLower Atmospheric-HSR

207

BPA's LiDAR program maps corridor to success  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi, P. Study of SmartRates4

208

Cloud properties derived from the High Spectral Resolution Lidar during  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationClean Communities of WesternVailCloisteredPresence offromandMPACE

209

Advanced Lidars for ARM: What Would We Get?  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAbout the Building TechnologiesS1!4TCombustionOptimizingCMWG Breakout

210

Simulation of Lidar Return Signals Associated with Water Clouds  

E-Print Network [OSTI]

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 7 Number distribution averaged phasematrices of water clouddroplets of different effective radii. . . . . . . . . . . . . . . . . . . . . . . . . 34 8 Simulated range corrected signals froma cloud with reff = 8.0?m and ?ext = 13.3/km when 100...(?in,?in,?sc,?sc) = L(?i2))P(?)L(?i1), (1.14) 8 where L(?) is for rotation operator for Stoke parameter (I,Q,U,V) [30]: L(?) = ? ?? ?? ?? ?? 1 0 0 0 0 cos2? sin2? 0 0 ?sin2? cos2? 0 0 0 0 1 ? ?? ?? ?? ?? . (1.15) where ? is an angle. i1 is the angle between the meridian...

Lu, Jianxu

2010-01-14T23:59:59.000Z

211

E-Print Network 3.0 - airborne mixtures part Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

GLAS Airborne lidar Biomass Height The use of lidar remote sensing for mapping the spatial distribution... and spatially coincident discrete-return airborne lidar data over...

212

Macroprogramming Heterogeneous Sensor Networks Using Asad Awan Suresh Jagannathan Ananth Grama  

E-Print Network [OSTI]

- ment for mPL in heterogeneous resource-constrained sensor net- works. COSMOS facilitates composition component basis library to add rich macroprogramming abstractions to mPL, tailored to domain and resource measurements. We present comprehen- sive experimental evaluation using macro- and micro- benchmarks

Jagannathan, Suresh

213

Quantifying Surface Subsidence along US Highway 50, Reno County, KS using Terrestrial LiDAR  

E-Print Network [OSTI]

of karst features by evaporite dissolution is quick and unpredictable. Evaporite rock layers cover a large area in the subsurface of the North America and elsewhere in the world. The mechanisms in which these evaporites dissolve are important...). This 5 free access to undersaturated water rapidly leaches away salt in the subsurface thereby creating large void spaces. Effects of Salt Dissolution The dissolution mechanisms described in the previous section give way to instabilities...

Herrs, Andrew J.

2010-04-23T23:59:59.000Z

214

Constructing a GIS-based 3D urban model using LiDAR and aerial photographs  

E-Print Network [OSTI]

; Rau and Chen 2001; Shiode 2001; Zhou et al. 2004). The 3D urban modeling technique enables urban residents to visualize future urban construction and development. It also supports standard activities of urban design and city planning and allows... of geometric information about urban objects, and it is an efficient tool for designing and creating urban objects (Sinning-Meister et al 1996). The contemporary CAD systems also offer full 3D rendering capability to visualize urban objects and the urban...

Lin, Wei-Ming

2005-02-17T23:59:59.000Z

215

Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches  

E-Print Network [OSTI]

Germany, 2012. 44. Baatz, M. ; Hoffmann, C. ; Willhauck, G.interest were segmented. Baatz, Hoffmann and Willhauck [44

Kelly, Maggi

2013-01-01T23:59:59.000Z

216

Object-Based Image Analysis of Downed Logs in Disturbed Forested Landscapes Using Lidar  

E-Print Network [OSTI]

quantity and location of downed logs in forests is important for assessing fire risk [4,5], measuring dead biomass

Kelly, Maggi

2011-01-01T23:59:59.000Z

217

E-Print Network 3.0 - airborne aura lidar Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Collection: Mathematics 29 Michael D. Obland1*, Anthony L. Cook1, Richard A. Ferrare1, John W. Hair1, David B. Harper1, Chris A. Hostetler1, Raymond R. Rogers2, Sharon P....

218

E-Print Network 3.0 - airborne lidar profiler Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Collection: Mathematics 17 Michael D. Obland1*, Anthony L. Cook1, Richard A. Ferrare1, John W. Hair1, David B. Harper1, Chris A. Hostetler1, Raymond R. Rogers2, Sharon P....

219

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements  

SciTech Connect (OSTI)

Previous estimates of the wind resources in Uttarakhand, India, suggest minimal wind resources in this region. To explore whether or not the complex terrain in fact provides localized regions of wind resource, the authors of this study employed a dynamic down scaling method with the Weather Research and Forecasting model, providing detailed estimates of winds at approximately 1 km resolution in the finest nested simulation.

Lundquist, J. K.; Pukayastha, A.; St. Martin, C.; Newsom, R.

2014-03-01T23:59:59.000Z

220

Field Testing LIDAR Based Feed-Forward Controls on the NREL Controls Advanced Research Turbine: Preprint  

SciTech Connect (OSTI)

Wind turbines are complex, nonlinear, dynamic systems driven by aerodynamic, gravitational, centrifugal, and gyroscopic forces. The aerodynamics of wind turbines are nonlinear, unsteady, and complex. Turbine rotors are subjected to a chaotic three-dimensional (3-D) turbulent wind inflow field with imbedded coherent vortices that drive fatigue loads and reduce lifetime. In order to reduce cost of energy, future large multimegawatt turbines must be designed with lighter weight structures, using active controls to mitigate fatigue loads, maximize energy capture, and add active damping to maintain stability for these dynamically active structures operating in a complex environment. Researchers at the National Renewable Energy Laboratory (NREL) and University of Stuttgart are designing, implementing, and testing advanced feed-back and feed-forward controls in order to reduce the cost of energy for wind turbines.

Scholbrock, A. K.; Fleming, P. A.; Fingersh, L. J.; Wright, A. D.; Schlipf, D.; Haizmann, F.; Belen, F.

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

An investigation of the depolarization of backscattered electromagnetic waves using a lidar polarimeter  

E-Print Network [OSTI]

of the samples was varied from a very rough to a moderately rough surface. Using these targets, polarized and depolarized backscatter measurements were recorded using both horizon- tal and vertical transmit polarization for angles of in- cidence between 0...' . . . . . . . . . . . 48 III -3 III-4 II I- 5 III-6 Intensity pattern for p /p a s Intensity pattern for p /p a s Intensity pattern for p /p a s 2. 0 x 10 1. 0 x 10 2. 62 x 10 Experimental arrangement for collimated beam experiment 49 50 51 53 III- 7...

Wilhelmi, Gary Joe

2012-06-07T23:59:59.000Z

222

Assessing Available Woody Plant Biomass on Rangelands with Lidar and Multispectral Remote Sensing  

E-Print Network [OSTI]

products. Mesquite trees, a type of woody plant, are a proven source of bioenergy feedstock found on semi-arid lands. The overall objectives of this study were to develop algorithms for determining woody plant biomass on rangelands in Texas at plot...

Ku, Nian-Wei

2012-07-16T23:59:59.000Z

223

Multi-temporal Terrestrial Lidar for Estimating Individual Tree Dimensions and Biomass Change  

E-Print Network [OSTI]

Accurate measures of forest structural parameters are essential to forest inventory and growth models, managing wildfires, and modeling of carbon cycle. Terrestrial laser scanning (TLS) provides accurate understory information rapidly through non...

Srinivasan, Shruthi

2013-10-30T23:59:59.000Z

224

Modeling Plot-Level Biomass and Volume Using Airborne and Terrestrial Lidar Measurements  

E-Print Network [OSTI]

The United States Forest Service (USFS) Forest Inventory and Analysis (FIA) program provides a diverse selection of data used to assess the status of the nations forested areas using sample locations dispersed throughout the country. Airborne...

Sheridan, Ryan D.

2012-07-16T23:59:59.000Z

225

An initial assessment of the Robust And Compact Hybrid Environmental Lidar  

E-Print Network [OSTI]

-tripled Nd:YAG laser with an average pulse energy of 65 mJ. The return signal is observed coaxially, includ- ing a ceiliometer, cloud radar, various li- dars, radiometers, and surface meteorol- ogy in the morning. This behaviour is repeated the next day. During this time, PBL height remains unusually high

Oxford, University of

226

2.1 RAMAN LIDAR PROFILING OF WATER VAPOR AND AEROSOLS OVER THE ARM SGP SITE  

E-Print Network [OSTI]

with satellite sensors. Accurate, high spatial and temporal resolution profiles of water vapor are also required+GOES) have been combined into a single product that takes advantage of both active and passive remote sensors with the use of narrowband (~0.4 nm bandpass) filters, reduces the background skylight and, therefore

227

Solar Energy Potential Analysis at Building Scale Using LiDAR and Satellite Data.  

E-Print Network [OSTI]

??The two main challenges of the twenty-first century are the scarcity of energy sources and global warming; trigged by the emission of greenhouse gases. In (more)

Aguayo, Paula

2013-01-01T23:59:59.000Z

228

Surface-Layer Wind and Turbulence Profiling from LIDAR: Theory and Measurements  

E-Print Network [OSTI]

turbines become taller wind energy assessment and also turbine control require knowledge of the detailed calibrated cup anemometers in tall met-towers, wind data from remote-sensing instrumentation, such as SODARS, in particular for use in connection with power curve reference and wind turbine certification purposes. However

229

Finding Multiple Lanes in Urban Road Networks with Vision and Lidar  

E-Print Network [OSTI]

This paper describes a system for detecting and estimating the properties of multiple travel lanes in an urban road network from calibrated video imagery and laser range data acquired by a moving vehicle. The system operates ...

Huang, Albert S.

230

An annual cycle of Arctic cloud characteristics observed by radar and lidar at SHEBA  

E-Print Network [OSTI]

distribution of cloud boundary heights, and occurrence of liquid phase in clouds are determined from radar-observed clouds containing liquid was 73% for the year. The least amount of liquid water phase was observed during-detected clouds. Liquid was distributed in a combination of all-liquid and mixed phase clouds, and was detected

Shupe, Matthew

231

Algorithms and Software Tools for Extracting Coastal Morphological Information from Airborne LiDAR Data  

E-Print Network [OSTI]

grain size, calculating profile volume with respect to specified reference elevation along the profile, generating synthetic profiles, as well as calculating bar properties such as minimum depth and location, maximum height and location, volume...

Gao, Yige

2010-07-14T23:59:59.000Z

232

E-Print Network 3.0 - absorption lidar transmitter Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Collection: Environmental Sciences and Ecology 35 Field demonstration of simultaneous wind and temperature measurements from 5 to 50 km with Summary: double-edge magneto-optic...

233

Submarine fluorescence lidar for environmental monitoring Stefan Harsdorf, Manfred Janssen, Rainer Reuter and Bernhard Wachowicz  

E-Print Network [OSTI]

Santosa) Eco-Ethology Research Unit, ISPA--Instituto Universitario, Rua Jardim do Tabaco 34, Lisboa, P dos Mam´iferos Marinhos, Rua Alto do Duque 45, Lisboa, P-1400-009, Portugal Emanuel J. Gonc¸alves Eco of Setu´bal, in Portugal, required the removal of a 14-m deep rocky outcrop at the ship maneuver area

Oldenburg, Carl von Ossietzky Universität

234

Eddy-resolving Lidar Measurements and Numerical Simulations of the Convective Internal Boundary Layer  

E-Print Network [OSTI]

in speed. The vertical gradient of wind-speed decreases offshore because of strong vertical mixing caused correlation functions and winds derived from horizontal (PPI) and vertical (RHI) scans of the VIL during Lake.4 0.5 0.6 0.7 DOWNSTREAM WIND SPEEDS FROM RHI SCANS ON 13 JANUARY 1998 SPATIALLY RESOLVED 5-m WINDS

Eloranta, Edwin W.

235

Modeling conically scanning lidar error in complex terrain with WAsP  

E-Print Network [OSTI]

the vertical wind speed W changes linearly with the downwind position x. This could crudely mimic the flow over to be homogeneous in order to deduce the horizontal wind speed. However, in mountainous or complex terrain this assumption is not valid implying an erroneous wind speed. The magnitude of this error is measured

236

LiDAR At Chocolate Mountains Area (Alm, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, search

237

LiDAR At Dixie Valley Geothermal Area (Helton, Et Al., 2011) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation, searchInformation

238

LiDAR At Gabbs Valley Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation,

239

LiDAR At Twenty-Nine Palms Area (Page, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to: navigation,Information

240

LiDAR At Twenty-Nine Palms Area (Sabin, Et Al., 2010) | Open Energy  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey,(Monaster And Coolbaugh, 2007) Jump to:

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

LiDAR At Glass Buttes Area (DOE GTP) | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpInc Place:Keystone CleanLaton,LearnLeupp SchoolLewisville is

242

A Comparison of Cirrus Cloud Visible Optical Depth Derived from Lidar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered‰PNGExperience hands-onASTROPHYSICSHe β- DecayBenew20-Year6APlasma

243

Polarized Micro Pulse Lidars R. L. Coulter and T. J. Martin  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006Photovoltaic TheoryPlant 242-Z Americiumand InDevRPHYSORPolarizedand

244

Posters Scanning Raman Lidar Measurements of Atmospheric Water Vapor and Aerosols  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006PhotovoltaicSeptember 22, 2014SocietyJ. Dudhia51 Posters7551

245

DOE/SC-ARM/TR-120 Raman Lidar Profiles-Temperature  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision

246

Structural Analysis of Southern Dixie Valley using LiDAR and Low-Sun-Angle  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-g GrantAtlas (PACAOpen Energy InformationStonyMonitoringfromAerial

247

ARM - Field Campaign - NASA Coordinated Airborne CO2 Lidar Flight Test  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops Atmospheric Optical Depth (AOD) by Microtops ARM

248

Raman Lidar Measurements of Aerosols and Water Vapor During the May 2003 Aerosol IOP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298, and 323Program2Raftopoulos takes onRajeshNewsRamRaman

249

Laser Timing Jitter Measurements using a Dual-Sweep Streak Camera at the A0 Photoinjector  

SciTech Connect (OSTI)

Excellent phase stability of the drive laser is a critical performance specification of photoinjectors such as Fermilab's A0 photoinjector (A0PI). Previous efforts based on the measurement of the power spectrum of the signal of a fast photodiode illuminated by the mode locked infrared laser pulse component indicated a phase jitter of less than 1.4 ps (technique limited). A recently procured dual sweep plugin unit and existing Hamamatsu C5680 streak camera were used to study the phase stability of the UV laser pulse component. Initial measurements with the synchroscan vertical sweep unit locked to 81.25 MHz showed that the phase slew through the micropulse train and the phase jitter micropulse to micropulse were two key aspects that could be evaluated. The phase slew was much less than 100 fs per micropulse, and the total phase jitter (camera, trigger, and laser) was approximately 300 fs RMS for measurements of 50-micropulse trains. Data on the macropulse phase stability were also obtained. A possible upgrade to achieve better phase stability will be also discussed.

Ruan, J.; Lumpkin, A.H.; Santucci, J.K.; /Fermilab

2009-04-30T23:59:59.000Z

250

Board of Directors : Prof. Alfred Leipertz (Coordinator) Prof. Michael Schmidt (Co-Coordinator)  

E-Print Network [OSTI]

in their respective fields and has as its aim the promotion of innovation and leadership skills in all specialist in the SAOT. · Max Planck Institute for the Science of Light (MPL) · Fraunhofer Institute for Integrated

Fiebig, Peter

251

ARM Climate Modeling Best Estimate Lamont, OK Statistical Summary (ARMBE-CLDRAD SGPC1)  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Calculate monthly mean diurnal cycle based on the hourly CMBE data with qcflag >=-1 (>30% valid data within the averaged hour). For 2-D clouds, only data over the period when both MMCR and MPL were working are used.

McCoy, Renata; Xie, Shaocheng

252

Specialty Vehicles and Material Handling Equipment  

Broader source: Energy.gov (indexed) [DOE]

and hydrophobic treated versions. In addition, we provide all our styles with or without micro porous layers (MPL). As a customer focused company, we invite you to explore with us...

253

Die RefeRenten: Prof. Philip Russell  

E-Print Network [OSTI]

Helligkeitssensor des fraunhofer iiS 4.Tag der InnovaTIon Fokus opTIk und opTIsche TechnolgIen MITarbe.mpl.mpg.de philip.russell@mpl.mpg.de Prof. Randolf Hanke fraunhofer-institut für integrierte Schaltungen iiS www.iis.fraunhofer.de randolf.hanke@iis.fraunhofer.de Prof. Gerd Häusler institute of Optics University of erlangen-nureberg www

Gugat, Martin

254

Die RefeRenten: Prof. Philip Russell  

E-Print Network [OSTI]

Helligkeitssensor des fraunhofer iiS 4.Tag der InnovaTIon Fokus opTIk und opTIsche TechnologIen MITarbe.mpl.mpg.de philip.russell@mpl.mpg.de Prof. Randolf Hanke fraunhofer-institut für integrierte Schaltungen iiS www.iis.fraunhofer.de randolf.hanke@iis.fraunhofer.de Prof. Gerd Häusler institute of Optics University of erlangen-nureberg www

Sanderson, Yasmine

255

The Development of Instrumentation and Methods for Measurement of Air-Sea Interaction and Coastal Processes from Manned and Unmanned Aircraft /  

E-Print Network [OSTI]

Yaw Sum Rotation Rotated LiDAR Surface (x, y, z, t) Figure 2.4: Post-processing flow chart for the airborne lidar system.

Reineman, Benjamin D.

2013-01-01T23:59:59.000Z

256

Short-range, Non-contact Detection of Surface Contamination Using Raman Lidar Arthur J. Sedlacek, III*  

E-Print Network [OSTI]

-time detection and identification of bulk amounts of substances on surfaces. Optical spectroscopic methods detection and identification of chemical spills is discussed. The new chemical sensor combines the spectral-range (meters to tens of meters), non-contact detection and identification of unknown substances on surfaces

257

Na double-edge magneto-optic filter for Na lidar profiling of wind and temperature in the  

E-Print Network [OSTI]

proposed by one of the authors (Williams), originating from the Na magneto-optic filter in solar-edge magneto-optic fil- ter (Na-DEMOF). It has advantages over the FPIs and iodine filters because of its magnetic field across the Na cell causes the Zeeman splitting of Na energy levels, which shifts

Chu, Xinzhao

258

Identifying the top of the tropical tropopause layer from vertical mass flux analysis and CALIPSO lidar cloud observations  

E-Print Network [OSTI]

deep convection from the tropical rainfall measuring mission precipitation radar, Alcala and Dessler defined as the level of zero net radiative heating, which occurs near 14.5­15 km [e.g., Folkins et al convection occurring below this level will sink back to the surface, and air detraining above this level

Hochberg, Michael

259

GEOPHYSICAL RESEARCH LETTERS, VOL. 25, NO. 16, PAGES 3139-3142, AUGUST 15, 1998 Multiwavelength lidar aerosol measurements made at  

E-Print Network [OSTI]

., 1995] leading to polar stratospheric cloud (PSC) formation. Stratospheric aerosols can also serve to as P1) so only a brief overview will be given here. 1Center for Research in Earth and Space Technology) Nagoya University, Nagoya, Japan. 4Communications Research Laboratory (CRL) Tokyo, Japan. 5Meteorological

Duck, Thomas J.

260

Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey  

E-Print Network [OSTI]

is driven by the efficient use of forest resources, which in turn requires detailed understanding of forest 2011 Accepted: 2 November 2011 /Published online: 29 November 2011 # Springer Science+Business Media useful forestry relevant information, this data must be interpreted using mathematical models

Xi, Weimin

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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261

Computer-based synthetic data to assess the tree delineation algorithm from airborne LiDAR survey  

E-Print Network [OSTI]

is driven by the efficient use of forest resources, which in turn requires detailed understanding of forest 2011 Accepted: 2 November 2011 # Springer Science+Business Media, LLC 2011 Abstract Small Footprint Li be interpreted using mathematical models and computer algorithms that infer or estimate specific forest metrics

262

30TH INTERNATIONAL COSMIC RAY CONFERENCE Atmospheric Monitoring with a LIDAR and an Infra-red Camera at Black Rock  

E-Print Network [OSTI]

density, the US atmospheric standard model is used so far, and a radio sonde data is also used COLLABORATION 1 Department of Physics, Kinki University 2 Graduate School of Science, Osaka City University 3 for cosmic rays experiment. The aims of atmospheric moni- toring are to calibrate observed energy

263

Accuracy of small footprint airborne LiDAR in its predictions of tropical moist forest stand structure  

E-Print Network [OSTI]

. Introduction Tropical forests offer a broad range of ecosystem services, from carbon sequestration to potential valuation of biodiversity compo- nents. But, forest conversion in the tropics has dramatically altered and verifiable", and this prompted renewed interest in providing standardized and reproducible methods of forest

Chave, Jrme

264

Exploring the relationships between vegetation measurements and temperature in residential areas by integrating LIDAR and remotely sensed imagery  

E-Print Network [OSTI]

at higher resolutions is much more difficult to obtain. This has allowed researchers to study urban heat island dynamics at a micro-scale. However, this study suggests that a vegetation index alone might not be the best surrogate variable for providing...

Clemonds, Matthew A

2006-10-30T23:59:59.000Z

265

Lidar determination of altitude profile of the refraction index in electro-optical monitoring of the Earths atmosphere  

E-Print Network [OSTI]

generated data 1. Introduction Control of atmosphere pollution is a complex problem of environmental of the reconstruction of the individual contributions and the overall altitude pro- file of the refraction index of air the pollutants and obtain detailed information about the distri- bution of the substances both in altitude

266

Comparing synthetic aperture radar and LiDAR for above-ground biomass estimation in Glen Affric, Scotland  

E-Print Network [OSTI]

Quantifying above-ground biomass (AGB) and carbon sequestration has been a significant focus of attention within the UNFCCC and Kyoto Protocol for improvement of national carbon accounting systems (IPCC, 2007; UNFCCC, ...

Tan, Chue Poh

2012-06-25T23:59:59.000Z

267

A comparison of cloud top heights computed from airborne lidar and MAS radiance data using CO2 slicing  

E-Print Network [OSTI]

budgets. Their impact on the radiation budget can result in a heating or in a cooling of the planet al., 1989; Wylie and Menzel, 1989], determine diabatic heating profiles and hence affect the general to global climate change studies. One important passive remote sensing method of obtaining the altitude

Sheridan, Jennifer

268

DOE/SC-ARM/TR-100 Raman Lidar Profiles Best Estimate Value-Added Product Technical Report  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic Reading2Q)38232 Revision 1SC6099359380

269

Dimitri Batani Dipartimento di Fisica G. Occhialini , Universit di Milano-Bicocca, Milano  

E-Print Network [OSTI]

radiazione secondaria (X, UV) Metrologia LIDAR (misure dell'atmosfera) Telecomunicazioni in fibra ottica

Milano-Bicocca, Università

270

Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 68  

E-Print Network [OSTI]

be faulty if these proc- esses are different than assumed during analysis. In December 1999, a non of the condi- tions actually encountered by ship's pilots. It is essential to have high-quality field

Oldenburg, Carl von Ossietzky Universität

271

Bachelor thesis: "Validation of an engineering model of the near wake wind field of wind turbines based on nacelle based lidar measurements"  

E-Print Network [OSTI]

Bachelor thesis: "Validation of an engineering model of the near wake wind field of wind turbines, in an early stage of wind farm layout optimisation and wind turbine loading calculation in wind farms developed/validated indirectly. Mainly, based on power measurements of downstream wind turbines, instead

Peinke, Joachim

272

Lidar Remote Sensing for Environmental Monitoring IX, Edited by Upendra N. Singh, Kazuhiro Asai, Achuthan Jayaraman, Proc. of SPIE Vol. 7153, 71530Z  

E-Print Network [OSTI]

in a single FPA. When (100) silicon is properly etched with KOH:IPA:H2O solution through a thermally grown with KOH:IPA:H2O solution through a thermally grown oxide mask, square based pyramidal frustum or mesa in a dual- mode, operating in a linear mode with or without internal gain for passive imaging in daylight

Cole, Dan C.

273

Using LiDAR, Aerial Photography, and Geospatial Technologies to Reveal and Understand Past Landscapes in Four West Central Missouri Counties  

E-Print Network [OSTI]

This dissertation focuses on Hugh Prince's principle of using the present (in this case as seen through remotely sensed imagery) to understand the past via relict features. I studied ghost towns, cemeteries, and abandoned ...

Price, R. Zane

2012-05-31T23:59:59.000Z

274

Aerosol plume transport and transformation in high spectral resolution lidar measurements and WRF-Flexpart simulations during the MILAGRO Field Campaign  

E-Print Network [OSTI]

The Mexico City Metropolitan Area (MCMA) experiences high loadings of atmospheric aerosols from anthropogenic sources, biomass burning and wind-blown dust. This paper uses a combination of measurements and numerical ...

de Foy, B.

275

Vindicator Lidar Assessment for Wind Turbine Feed-Forward Control Applications: Cooperative Research and Development Final Report, CRADA Number CRD-09-352  

SciTech Connect (OSTI)

Collaborative development and testing of feed-forward and other advanced wind turbine controls using a laser wind sensor.

Wright, A.

2014-01-01T23:59:59.000Z

276

CityFIT Urban Guide: Modelling and Deploying indicators of Property Exposure to Flooding in Lagos using LIDAR DEM and DSM data  

E-Print Network [OSTI]

application was prototyped for disseminating time-series flood model information and for reporting details of flood events as they occur to serve for model calibration and enhancement, thereby completing the flood modelling lifecycle....

Mosuro, Sulaiman

2012-11-29T23:59:59.000Z

277

Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 148  

E-Print Network [OSTI]

-06-3048-6038 ABSTRACT The development of sensing subsystems is crucial to the operation of highly autonomous robots performance laser range finder. The sensor will be installed on an autonomous rover (RAS), lodged surfaces and from the poor transparency of the atmos- phere caused by wind-driven ice microcrystals

Oldenburg, Carl von Ossietzky Universität

278

Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16 17, 2000 EARSeL eProceedings No. 1 130  

E-Print Network [OSTI]

element measurements in any kind of solid material (1-3) as well as in liquids (4,5). The technique can. The unknown samples are often available as powders (e.g. coal fly ash, minerals, sed

Oldenburg, Carl von Ossietzky Universität

279

Proceedings of 2011 NSF Engineering Research and Innovation Conference, Atlanta, Georgia Grant #0856420 LiDAR and optical imaging for 3-D fracture orientations  

E-Print Network [OSTI]

measurements are sometimes carried at the base of existing slopes or during quarrying, tunneling or mining is responsible for the transportation of groundwater and contaminants [5]. Thus, the importance of the analysis

Maerz, Norbert H.

280

The Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured Fluxes and Lidar/Radar Profiles at the  

E-Print Network [OSTI]

to produce too much solid water (ice and snow) and not enough liquid water. 1. Introduction Ice clouds playThe Ability of MM5 to Simulate Ice Clouds: Systematic Comparison between Simulated and Measured­NCAR Mesoscale Model (MM5) to simulate midlatitude ice clouds is evaluated. Model outputs are compared to long

Protat, Alain

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Robust 1550-nm single-frequency all-fiber ns-pulsed fiber amplifier for wind-turbine predictive control by wind lidar  

E-Print Network [OSTI]

Oldenburg, Germany ABSTRACT Scaling of the power yield of offshore wind farms relies on the capacity powers [1]. To reach the ambitious and politically motivated aims of Multi-GW offshore wind farms belongs to this category. Clustered in wind farms, today's wind turbines produce Megawatt-level output

Oldenburg, Carl von Ossietzky Universität

282

Device For Trapping Laser Pulses In An Optical Delay Line  

DOE Patents [OSTI]

A device for maintaining a high-energy laser pulse within a recirculating optical delay line for a period time to optimize the interaction of the pulse with an electron beam pulse train comprising closely spaced electron micropulses. The delay line allows a single optical pulse to interact with many of the electron micropulses in a single electron beam macropulse in sequence and for the introduction of additional optical pulses to interact with the micropulses of additional electron beam macropulses. The device comprises a polarization-sensitive beam splitter for admitting an optical pulse to and ejecting it from the delay line according to its polarization state, a Pockels cell to control the polarization of the pulse within the delay line for the purpose of maintaining it within the delay line or ejecting it from the delay line, a pair of focusing mirrors positioned so that a collimated incoming optical pulse is focused by one of them to a focal point where the pulse interacts with the electron beam and then afterwards the pulse is recollimated by the second focusing mirror, and a timing device which synchronizes the introduction of the laser pulse into the optical delay line with the arrival of the electron macropulse at the delay line to ensure the interaction of the laser pulse with a prescribed number of electron micropulses in sequence. In a first embodiment of the invention, the principal optical elements are mounted with their axes collinear. In a second embodiment, all principal optical elements are mounted in the configuration of a ring.

Yu, David U. L. (Rancho Palos Verdes, CA); Bullock, Donald L. (Los Angeles, CA)

1997-12-23T23:59:59.000Z

283

An Introduction to Wave-Current Interactions  

E-Print Network [OSTI]

-scale wave focusing across a storm can re-direct the wind-stress? #12;1. Adiabatic interaction StartAn Introduction to Wave-Current Interactions Jerry Smith, MPL-SIO-UCSD jasmith@ucsd.edu http just want to hold up your hand. #12;Some Questions in Wave-Current Interaction Physics 1. Adiabatic

Smith, Jerome A.

284

Journal of Power Sources 163 (2006) 357363 Effect of carbon loading in microporous layer on PEM  

E-Print Network [OSTI]

,2]. The GDL typically has a dual-layer structure, as illustrated in Fig. 1 [3]. The first layer is a carbon-fiber available GDLs: bare SGL SIGRACET and Toray TGPH carbon-fiber papers and SGL SIGRACET carbon- Corresponding the MPL-coated carbon- fiber paper when compared with the bare papers even at lower air stoichiometry

Popov, Branko N.

285

Introduction to special section on the Phoenix Mission: Landing Site Characterization Experiments, Mission Overviews, and  

E-Print Network [OSTI]

braking strategy. After a safe landing, twin fan-like solar panels are unfurled and provide the energy lander with a science payload inherited from MPL and 2001 instruments gives significant advantages, University of Ottawa, Ottawa, Ontario, Canada. 10 Max Planck Institute for Solar System Research, Katlenburg

Duck, Thomas J.

286

Reason for Testing (Required-failure to include a diagnosis may delay testing. Include all pertinent diagnoses and ICD9 codes. Ie. Primary Lung Cancer 162.9 with metastasis to brain 198.3 and bone 198.5)  

E-Print Network [OSTI]

, NF1, NOTCH1, NPM1, NRAS, PDGFRA, PIK3CA, PTCH1, PTEN, PTPN11, RB1, RET, RUNX1, SMO, STK11, TET2, TP53 MAP2K2 MET MPL MTOR MYC MYD88 NF1 NOTCH1 NPM1 NRAS PDGFRA PIK3CA PTCH1 PTEN PTPN11 RB1 RET RUNX1 SMO

Wang, David

287

Replication-Based Incremental Copying Collection Scott Nettles  

E-Print Network [OSTI]

Replication-Based Incremental Copying Collection Scott Nettles 1, James O'Tool e 2, David Pi erce 3 for mai ntai ni ng consi stency may be appl i ed. In our i mpl ementati on for Standard ML of New

Williams, Brian C.

288

Guidelines for the Use of Adjuvants in Research Special Emphasis on Freund's Adjuvant  

E-Print Network [OSTI]

is emulsified together with a solution of the antigen of interest to form a water-in-oil emulsion, is effective,8 the use of CFA may be scientifically justified for the induction of autoimmune disease models for which such as aluminum compounds (e.g. Alum), squalene-in-water emulsions (MF59 and AS03), monophosphoryl lipid A (MPL

Bandettini, Peter A.

289

How to determine a good multi-programming level for external scheduling Bianca Schroeder Mor Harchol-Balter Adam Wierman  

E-Print Network [OSTI]

Heights, NY USA @us.ibm.com Abstract Scheduling/prioritization of DBMS transactions is im not all DBMS resources will be utilized. On the other hand, if the MPL is too high, there is insufficient. For such applications it is often desirable to control the order in which transactions are exe- cuted at the DBMS. An e

Low, Steven H.

290

How to determine a good multi-programming level for external scheduling Bianca Schroeder Mor Harchol-Balter  

E-Print Network [OSTI]

Heights, NY USA @us.ibm.com Abstract Scheduling/prioritization of DBMS transactions is im not all DBMS resources will be utilized. On the other hand, if the MPL is too high, there is insufficient. For such applications it is often desirable to control the order in which transactions are exe- cuted at the DBMS. An e

Schroeder, Bianca

291

A New Continuous Propositional Logic Riccardo Poli, Mark Ryan and Aaron Sloman  

E-Print Network [OSTI]

considered fundamental in fuzzy logic (but not in fuzzy control) do not hold. The paper is organised's Probabilistic Logic, but can also be interpreted as the degree of truth of that assertion, as in Fuzzy Logic. However, unlike fuzzy logic MPL respects all logical equivalences, and un- like probabilistic logic

Ryan, Mark

292

Intrinsic Variability and Field Statistics for the Vela Pulsar: 3. Two-Component Fits and Detailed Assessment of Stochastic Growth Theory  

E-Print Network [OSTI]

The variability of the Vela pulsar (PSR B0833-45) corresponds to well-defined field statistics that vary with pulsar phase, ranging from Gaussian intensity statistics off-pulse to approximately power-law statistics in a transition region and then lognormal statistics on-pulse, excluding giant micropulses. These data are analyzed here in terms of two superposed wave populations, using a new calculation for the amplitude statistics of two vectorially-combined transverse fields. Detailed analyses show that the approximately power-law and lognormal distributions observed are fitted well at essentially all on-pulse phases by Gaussian-lognormal and double-lognormal combinations, respectively. These good fits, plus the smooth but significant variations in fit parameters across the source, provide strong evidence that the approximately power-law statistics observed in the transition region are not intrinsic. Instead, the data are consistent with normal pulsar emission having lognormal statistics at all phases. This is consistent with generation in an inhomogeneous source obeying stochastic growth theory (SGT) and with the emission mechanism being purely linear (either direct or indirect). A nonlinear mechanism is viable only if it produces lognormal statistics when suitably ensemble-averaged. Variations in the SGT fit parameters with phase imply that the radiation is relatively more variable near the pulse edges than near the center, as found in earlier work. In contrast, Vela's giant micropulses come from a very restricted phase range and have power-law statistics with indices ($6.7 \\pm 0.6$) not inconsistent with nonlinear wave collapse. These results imply that normal pulses have a different source and generation mechanism than giant micropulses, as suggested previously on other grounds.

Iver H. Cairns; P. Das; P. A. Robinson; S. Johnston

2003-04-24T23:59:59.000Z

293

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278,ValidatingPollution +MetricsDifferentWildfiresNewMicropulse

294

Microsoft PowerPoint - 07XTPO-M_Perf_Tools.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 Micropulse

295

Microsoft PowerPoint - 080306_stm_amf.ppt [Kompatibilitätsmodus]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvection Initiation and

296

Microsoft PowerPoint - 08XTPO-M_Node_Opt.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvection Initiation

297

Microsoft PowerPoint - 09 Tulsa RD Willis Update June.ppt  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvection Initiation

298

Microsoft PowerPoint - 090326_stm_poster_IWV.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvection

299

Microsoft PowerPoint - 090402_cops_backup.pptx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvectionGoal: Advance

300

Microsoft PowerPoint - 090402_cops_breakout.pptx  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvectionGoal: Advance1

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
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301

Microsoft PowerPoint - 091014RotaryBrockman.ppt [Read-Only] [Compatibility Mode]  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvectionGoal:

302

Microsoft PowerPoint - 09XTPO-M_MPI_Environment.pptx  

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AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces andMapping theEnergyInnovationMichaelGE1 MicropulseConvectionGoal:MPI

303

DISCLAIMER  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FY Middle SchoolARM-TR-014 Aerosol37019 Micropulse

304

Laser radar VI; Proceedings of the Meeting, Los Angeles, CA, Jan. 23-25, 1991  

SciTech Connect (OSTI)

Topics presented include lidar wind shear detection for commercial aircraft, centroid tracking of range-Doppler images, an analytic approach to centroid performance analysis, simultaneous active/passive IR vehicle detection, and resolution limits for high-resolution imaging lidar. Also presented are laser velocimetry applications, the application of laser radar to autonomous spacecraft landing, 3D laser radar simulation for autonomous spacecraft landing, and ground based CW atmospheric Doppler lidar performamce modeling.

Becherer, R.J.

1991-01-01T23:59:59.000Z

305

Rayleigh LIDAR and satellite (HALOE, SABER, CHAMP and COSMIC) measurements of stratosphere-mesosphere temperature over a southern sub-tropical site, Reunion (20.8 S; 55.5 E): climatology and comparison study  

E-Print Network [OSTI]

L. , and Keckhut, P. : Climatology and trends of the middleD. M. : A 14-year monthly climatology and trend in the 3565D. A. : Temperature climatology of the mid- dle atmosphere

Sivakumar, V.; Vishnu Prasanth, P.; Kishore, P.; Bencherif, H.; Keckhut, P.

2011-01-01T23:59:59.000Z

306

aerosol ratio program: Topics by E-print Network  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

contribute a major portion of atmospheric aerosol mass loading 5. The estimated global annual Liou, K. N. 2 Studying Clouds and Aerosols with Lidar Depolarization Ratio and...

307

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY Q. J. R. Meteorol. Soc. 133: 11751189 (2007)  

E-Print Network [OSTI]

on the monsoon and harmattan flow structure as well as on aerosol vertical distribution over the Sahel aerosol layer; gravity current; monsoon; harmattan; african monsoon multidisciplinary analysis; lidar

Chaboureau, Jean-Pierre

308

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY Q. J. R. Meteorol. Soc. 135: 139159 (2009)  

E-Print Network [OSTI]

; harmattan; airborne lidar; dropsondes; ECMWF analyses; SEVIRI imagery; AMMA Received 4 July 2008; Revised 4 northeasterly harmattan flow. This region, generally characterised by strong convergence and low pressures

Chaboureau, Jean-Pierre

309

CX-007901: Categorical Exclusion Determination | Department of...  

Broader source: Energy.gov (indexed) [DOE]

CX-007901: Categorical Exclusion Determination Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean Observations...

310

CHARACTERIZATION OF A GEIGER-MODE AVALANCHE PHOTODIODE DETECTOR FOR  

E-Print Network [OSTI]

CHARACTERIZATION OF A GEIGER-MODE AVALANCHE PHOTODIODE DETECTOR FOR HIGH SPECTRAL RESOLUTION LIDAR................................................................................................ 20 3.2 Operation principles of an avalanche photodiode.................................. 22 3

Eloranta, Edwin W.

311

2014 GRADUATE STUDIES CONSTRUCTION ENGINEERING  

E-Print Network [OSTI]

, and other optical sensors including thermography cameras, and portable pneumatic and electrical power management & simulation, BIM, virtual design and construction, machine vision, thermography, 3-D LIDAR, real

Wang, Yuhang

312

E-Print Network 3.0 - atmospheres thin atmospheres Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Physics, Simon Fraser University Collection: Physics 7 Arctic-Winter Climatology and Radiative Effects of Clouds and Aerosols Based on Lidar and Radar Measurements at PEARL...

313

Proceedings of the U.S. Geological Survey Fifth Biennial Geographic Information  

E-Print Network [OSTI]

Organizations ........................................................................ 2 Review Process, SRTM, Digital Photogrammetry, and LIDAR- Derived Digital Elevation Models: Implications for Geological Digital Geologic Mapping at Yucca Mountain, Nevada ............................................. 13

Torgersen, Christian

314

Department of Energy Announces 22 New Projects to Enable Emissions...  

Energy Savers [EERE]

of a selected MONITOR project: Bridger Photonics, Inc. | Bozeman, Mont. | Mobile LiDAR Sensors for Methane Leak Detection Bridger Photonics will develop a light-detection and...

315

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Estimating the Wind Resource in Uttarakhand: Comparison of Dynamic Downscaling with Doppler Lidar Wind Measurements Estimating the Wind Resource in Uttarakhand: Comparison of...

316

Arterial Traffic Activity Estimation  

E-Print Network [OSTI]

F. Moosmann and C. Stiller, "Velodyne slam," in IntelligentMoosmann, O. Pink, and C. Stiller, "Segmentation of 3d lidar

Yang, Qichi

2013-01-01T23:59:59.000Z

317

E-Print Network 3.0 - aerosol main physical Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AND INTEGRAL AEROSOL PROPERTIES RETRIEVAL FROM RAMAN LIDAR DATA USING PRINCIPLE COMPONENT ANALYSIS Summary: retrievals of physical aerosol parameters from ground-based and...

318

E-Print Network 3.0 - aaviksoo taavi lai Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Myneni, Ranga B. - Department of Geography, Boston University Collection: Geosciences 51 Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite...

319

E-Print Network 3.0 - advanced imaging techniques Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

techniques Search Powered by Explorit Topic List Advanced Search Sample search results for: advanced imaging techniques Page: << < 1 2 3 4 5 > >> 1 Photogrammetric & LiDAR Data...

320

NETL F 451.1/1-1, Categorical Exclusion Designation Form  

Broader source: Energy.gov (indexed) [DOE]

Division 2013-2014 10112 - 93014 Darin Damiani Multiple sites, Multiple states Optimization of Reservoir Storage Capacity in Different Depositional Environments LIDAR and...

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

E-Print Network 3.0 - asarate hararati dar Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Sample Questions Summary: ENGO 531: Advanced Photogrammetric and Ranging Techniques Sample Questions 1 of 2 Chapter 4: LiDAR... Mapping 1. What are the main differences...

322

RESEARCH LETTER 2002 Blackwell Science Ltd. http://www.blackwell-science.com/geb  

E-Print Network [OSTI]

sensing the quantity and spatial organization of forest biomass. In this study, we compare & Biogeography (2002) 11, 393399 Blackwell Science, Ltd Lidar remote sensing of above-ground biomass in three to high biomass forests is difficult for conventional optical and radar sensors. Lidar (light detection

Lefsky, Michael

323

Comparison between active sensor and radiosonde cloud boundaries over the ARM Southern Great Plains site  

E-Print Network [OSTI]

of radar, lidar, and ceilometer data collected at the Atmospheric Radiation Measurements Southern Great [1995] and Chernykh and Eskridge [1996]. The lidar and ceilometer data yield lowest-level cloud base. These quantities are used to assess the accuracy of coincident cloud base heights obtained from radar and the two

324

Atmos. Chem. Phys., 8, 341350, 2008 www.atmos-chem-phys.net/8/341/2008/  

E-Print Network [OSTI]

aerosols. Because aerosols impact both regional and global energy budgets, ow- ing to their highly non of tropospheric aerosol profiles using MAX-DOAS and comparison with lidar and sky radiometer measurements H. Irie1. These retrieved quantities are characterized through comparisons with coin- cident lidar and sky radiometer

Paris-Sud XI, Université de

325

BOSTON UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES  

E-Print Network [OSTI]

in climate change and remote sensing studies. He introduced me to the lidar remote sensing technique, which of other scientists working on vegetation lidar remote sensing. I am honored to have Drs. Davis, Phillips in the exchange of heat, momentum, water, and carbon between the land surface and the atmosphere. The rates

Myneni, Ranga B.

326

0.5 m Telescope Computer Adjustable  

E-Print Network [OSTI]

. Our objective is to demonstrate a new method of remotely determining ice water content in cirrus:17 - 02:41 (GMT) Altitude (km) LidarRawSignal(Power) Combined NFOV Signal Molecular NFOV Signal Combined AWFOV Signal Molecular AWFOV Signal Measured Lidar returns Inverted Aerosol Inverted Molecular Cirrus

Eloranta, Edwin W.

327

POSTGRADUATE MONTEREY, CALIFORNIA  

E-Print Network [OSTI]

is unlimited UTILITY OF SATELLITE LIDAR WAVEFORM DATA IN SHALLOW WATER by Neal Battaglia June 2010 Thesis. AUTHOR Neal Battaglia 5. FUNDING NUMBERS 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Naval; distribution is unlimited UTILITY OF SATELLITE LIDAR WAVEFORM DATA IN SHALLOW WATER Neal F. Battaglia Civilian

328

Fi in Gulf Pidgin Arabic  

E-Print Network [OSTI]

albaqala GA fii(h) pen. M.PL in the.grocery There are pens in the grocery. We propose that fi is a copula verb in GPA and has a function similar to be in English, building on proposals in Smart 1990, Nss 2008, and Bakir 2010...: Bahrain, Oman, Qatar, United Arab Emirates, Kuwait, and nearby areas (Lewis, Simons, Fennig 2013). Smart 1990, Nss 2008, and Bakir 2010 further discuss the sociolinguistic situation of GPA. The syntax of GPA has been little studied in the linguistic...

Potsdam, Eric; Alanazi, Mohammad

2014-12-01T23:59:59.000Z

329

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication and EvaluationUsingMarch 9, 2000, Cirrus Cloud System:MPL-net at

330

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication and EvaluationUsingMarch 9, 2000, Cirrus Cloud System:MPL-net

331

Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds  

SciTech Connect (OSTI)

The 'Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds' project focused extensively on the analysis and utilization of water vapor and aerosol profiles derived from the ARM Raman lidar at the Southern Great Plains ARM site. A wide range of different tasks were performed during this project, all of which improved quality of the data products derived from the lidar or advanced the understanding of atmospheric processes over the site. These activities included: upgrading the Raman lidar to improve its sensitivity; participating in field experiments to validate the lidar aerosol and water vapor retrievals; using the lidar aerosol profiles to evaluate the accuracy of the vertical distribution of aerosols in global aerosol model simulations; examining the correlation between relative humidity and aerosol extinction, and how these change, due to horizontal distance away from cumulus clouds; inferring boundary layer turbulence structure in convective boundary layers from the high-time-resolution lidar water vapor measurements; retrieving cumulus entrainment rates in boundary layer cumulus clouds; and participating in a field experiment that provided data to help validate both the entrainment rate retrievals and the turbulent profiles derived from lidar observations.

Turner, David, D.; Ferrare, Richard, A.

2011-07-06T23:59:59.000Z

332

Characterization and Suppression of the Electromagnetic Interference Induced Phase Shift in the JLab FEL Photo - Injector Advanced Drive Laser System  

SciTech Connect (OSTI)

The drive laser for the photo-cathode gun used in the JLab Free Electron Laser (FEL) facility had been experiencing various phase shifts on the order of tens of degrees (>20{sup o} at 1497 MHz or >40ps) when changing the Advanced Drive Laser (ADL) [2][3][4] micro-pulse frequencies. These phase shifts introduced multiple complications when trying to setup the accelerator for operation, ultimately inhibiting the robustness and overall performance of the FEL. Through rigorous phase measurements and systematic characterizations, we determined that the phase shifts could be attributed to electromagnetic interference (EMI) coupling into the ADL phase control loop, and subsequently resolved the issue of phase shift to within tenths of a degree (<0.5{sup o} at 1497 MHz or <1ps). The diagnostic method developed and the knowledge gained through the entire process will prove to be invaluable for future designs of similar systems.

F. G. Wilson, D. Sexton, S. Zhang

2011-09-01T23:59:59.000Z

333

Optical techniques for electron-beam characterizations on the APS SASE FEL project  

SciTech Connect (OSTI)

At the Advanced Photon Source (APS) the injector linac`s DC thermionic gun is being supplemented by a low-emittance rf thermionic gun that will support the SASE FEL project. To address the anticipated smaller beam sizes, the standard Chromox beam-profiling screens are being complemented by optical transition radiation (OTR) and Ce-doped YAG single-crystal converters. Direct comparisons of the effective conversion efficiency, spatial resolution, and time response of the three converter screen types have been performed using the DC thermionic gun`s beam accelerated to 400 to 650 MeV. An apparent blurring of observed beam size with increasing incident charge areal density in the YAG crystal was observed for the first time. Only the OTR was prompt enough for the few-ps domain micropulse bunch length measurements performed with a stream camera. Initial beam images of the rf-thermionic gun beam have also been obtained.

Lumpkin, A.H.; Yang, B.X.; Berg, W.J.; White, M.; Lewellen, J.W.; Milton, S.V.

1998-09-01T23:59:59.000Z

334

8, 28492862, 2008 Equatorial Kelvin  

E-Print Network [OSTI]

-campaigns in the tropics have been conducted in the recent years with two different LIDAR systems at Paramaribo in Suriname EGU On the basis of observational data obtained in Paramaribo, Suriname we showed recently that cirrus

Paris-Sud XI, Université de

335

Quantifying atmospheric pollution across north america from boreal forest fires: a combined analysis of atmospheric modelling and ground-based remote sensing  

E-Print Network [OSTI]

This paper describes the interpretation of the 2010 summer LIDAR observations from Dal- housie University, Nova Scotia. The GEOS-Chem global 3D chemistry transport model was used to identify the chemical and optical ...

Trigwell, Robert

2011-11-24T23:59:59.000Z

336

AT652 Course Syllabus Fall 2013  

E-Print Network [OSTI]

a graduate-level introduction to modern atmospheric remote sensing techniques and existing, in particular regarding thermal emission, solar radiation, radar and lidar backscatter quantities that can be measured from space using passive versus active techniques

337

Journal of Quantitative Spectroscopy & Radiative Transfer 106 (2007) 325347  

E-Print Network [OSTI]

, aerosol polarimetry sensor; ATSR, along track scanning radiometer; AVHRR, advanced very high resolution radiometer; CALIPSO, cloud-aerosol lidar and infrared pathfinder satellite observations; CLAMS, Chesapeake model; GEWEX, global energy and water cycle experiment; GHG, greenhouse gas; GOME, global ozone

338

Scattering Properties of Oriented Hexagonal Ice Crystals  

E-Print Network [OSTI]

To interpret the data from spaceborn lidar measurements, one must have a basic understanding of the backscattering of oriented ice particles. The conventional raytracing method is not applicable to the scattering of light by oriented particles...

Zhang, Feng

2010-01-14T23:59:59.000Z

339

Journal of Animal Ecology 2006  

E-Print Network [OSTI]

Water Intake Structures B & M Nakato * ** Study of Frazil-Ice for Wisconsin Electric's Power Plant near of CASES-99 Lidar Data Army Eichinger ** Development of a Web-Based Virtual Fluids Lab ATAC Eichinger

He, Fangliang

340

IIHR--HYDROSCIENCE & ENGINEERING COLLEGE OF ENGINEERING  

E-Print Network [OSTI]

Water Intake Structures B & M Nakato * ** Study of Frazil-Ice for Wisconsin Electric's Power Plant near of CASES-99 Lidar Data Army Eichinger ** Development of a Web-Based Virtual Fluids Lab ATAC Eichinger

Stanier, Charlie

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Goulden Equipment and Facilities Lab: 1400 ft2  

E-Print Network [OSTI]

(Sorval RC 5C, etc). Instruments for in-situ remote sensing: (2) FLIR thermal cameras, (2) JAI VIS fluorescence, (1) Ocular Robotics scanning LIDAR, misc pan-tilt mounts (FLIR D100 and D48), computers, software

Kimball, Sarah

342

Tropospheric Emissions: Monitoring of Pollution  

E-Print Network [OSTI]

, O3 lidar) R.B. Pierce NOAA/NESDIS Co-I AQ modeling, data assimilation R. Spurr RT Solutions, Inc. Co geostationary communications satellite with expected ~2019 launch Provides hourly daylight observations

Jacob, Daniel J.

343

E-Print Network 3.0 - amu dar river Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

forests by determining... the degree to which the LiDAR data would show the same relative ranking of structural development among sites Source: Bakker, Jon - School of Forest...

344

Thin Cloud Length Scales Using CALIPSO and CloudSat Data  

E-Print Network [OSTI]

Thin clouds are the most difficult cloud type to observe. The recent availability of joint cloud products from the active remote sensing instruments aboard CloudSat and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite (CALIPSO) facilitates...

Solbrig, Jeremy E.

2010-10-12T23:59:59.000Z

345

NREL Advances Feedforward Control in Turbines (Fact Sheet)  

SciTech Connect (OSTI)

This NREL Highlight is being produced for the 2015 February Alliance S&T Board meeting, and describes research that uses lidar and feedforward algorithms to improve rotor speed regulation and reduce costs of maintenance and operation.

Not Available

2015-01-01T23:59:59.000Z

346

Bioluminescence in a complex coastal environment: 2. Prediction of bioluminescent source depth from spectral  

E-Print Network [OSTI]

of a passive method (as opposed to active methods such as RADAR or LIDAR) to identify hostile ships, submarines this relative importance [Nealson, 1993]. Therefore the depth distribution of bioluminescent organisms is of eco

Moline, Mark

347

Aerial reconstructions via probabilistic data fusion  

E-Print Network [OSTI]

In this thesis we propose a probabilistic model that incorporates multi-modal noisy measurements: aerial images and Light Detection and Ranging (LiDAR) to recover scene geometry and appearance in order to build a 3D ...

Cabezas, Randi

2013-01-01T23:59:59.000Z

348

Post-fire Tree Establishment Patterns at the Subalpine Forest-Alpine Tundra Ecotone: A Case Study in Mount Rainier National Park  

E-Print Network [OSTI]

imagery and 2003 aerial photography to map 33 years of changes in arboreal vegetation. I created detailed maps of abiotic variables from a LIDAR-based DEM and biotic variables from classified remotely sensed data. I linked tree establishment patterns...

Stueve, Kirk M.

2010-10-12T23:59:59.000Z

349

The single pixel GPS: learning big data signals from tiny coresets  

E-Print Network [OSTI]

We present algorithms for simplifying and clustering patterns from sensors such as GPS, LiDAR, and other devices that can produce high-dimensional signals. The algorithms are suitable for handling very large (e.g. terabytes) ...

Feldman, Dan

350

Tuesday, March 24, 2009 POSTER SESSION I: SEEING IS BELIEVING  

E-Print Network [OSTI]

for Future Planetary Missions [#2078] A flash LIDAR instrument is being developed by Ball Aerospace for NEO remote sensing applications. Sobron P. Freeman J. J. Wang A. Field Test of the Water-Wheel IR (WIR

Rathbun, Julie A.

351

Quantification of Salt Marsh Carbon Stocks: Integration of Remote Sensing Data and Techniques with Field Measurements  

E-Print Network [OSTI]

in this study show the capability of remote sensing data for the characterization of salt marsh terrain and vegetation heights and the estimation of above-ground biomass quantities. The best biomass prediction models using lidar heights reported considerably...

Kulawardhana, Ranjani W

2013-12-02T23:59:59.000Z

352

CX-010481: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Differential Absorption Lidar (DIAL) for Spatial Mapping of Carbon Dioxide CX(s) Applied: A1, A9, A11, B3.6 Date: 05/29/2013 Location(s): Montana Offices(s): National Energy Technology Laboratory

353

altitude[m] glue 24.04.2011  

E-Print Network [OSTI]

radiometer and a K-band hydrometeor profiler Bourayou R.1, Calheiros A.J.1, Sakuragi J.1, Miacci M.1, Barbosa:CAPES; CHUVA project FAPESP grant 2009/15235-8 Lidar Raymetrics LR101V-D200 Nd:YAG SH 532nm Pulse energy 130 m, the event is only recorded at high altitude. The fall velocity derived from lidar profiles is in fair

Barbosa, Henrique

354

Haneberg, W.C., Creighton, A.L., Medley, E.W., and Jonas, D.A., 2005, Use of LiDAR to assess slope haz-ards at the Lihir gold mine, Papua New Guinea, in O. Hungr, R. Fell, R. Couture, and E. Eberhardt, edi-  

E-Print Network [OSTI]

. The epithermal sulfide gold deposit was dis- covered in 1983 and mining commenced in 1997. Mining is scheduled of residual topography within a moving window, was especially useful for distinguishing colluvium landslides representation of topography around the mine and an invaluable tool for hazard assessment. #12;The three deposits

Haneberg, William C.

356

LHC, le Big Bang en prouvette  

ScienceCinema (OSTI)

Notre comprhension de l?Univers est en train de changer? Bar des Sciences - Tout public Dbat modr par Marie-Odile Montchicourt, journaliste de France Info. Evenement en vidoconfrence entre le Globe de la science et de l?innovation, le bar le Baloard de Montpellier et la Maison des Mtallos Paris. Intervenants au CERN : Philippe Charpentier et Daniel Froideveaux, physiciens au CERN. Intervenants Paris : Vincent Bontemps, philosophe et chercheur au CEA ; Jacques Arnould, philosophe, historien des sciences et thologien, Jean-Jacques Beineix, ralisateur, producteur, scnariste de cinma. Intervenants Montpellier (LPTA) : Andr Neveu, physicien thoricien et directeur de recherche au CNRS ; Gilbert Moultaka, physicien thoricien et charg de recherche au CNRS. Partenariat : CERN, CEA, IN2P3, Universit MPL2 (LPTA) Dans le cadre de la Fte de la science 2008

None

2011-10-06T23:59:59.000Z

357

Constraining Lorentz violations with Gamma Ray Bursts  

E-Print Network [OSTI]

Gamma ray bursts are excellent candidates to constrain physical models which break Lorentz symmetry. We consider deformed dispersion relations which break the boost invariance and lead to an energy-dependent speed of light. In these models, simultaneously emitted photons from cosmological sources reach Earth with a spectral time delay that depends on the symmetry breaking scale. We estimate the possible bounds which can be obtained by comparing the spectral time delays with the time resolution of available telescopes. We discuss the best strategy to reach the strongest bounds. We compute the probability of detecting bursts that improve the current bounds. The results are encouraging. Depending on the model, it is possible to build a detector that within several years will improve the present limits of 0.015 m_pl.

Maria Rodriguez Martinez; Tsvi Piran

2006-05-17T23:59:59.000Z

358

Strict Limit on CPT Violation from Polarization of Gamma-Ray Bursts  

E-Print Network [OSTI]

We report the strictest observational verification of CPT invariance in the photon sector, as a result of gamma-ray polarization measurement of distant gamma-ray bursts (GRBs), which are brightest stellar-size explosions in the universe. We detected the gamma-ray polarization of three GRBs with high significance, and the source distances may be constrained by a well-known luminosity indicator for GRBs. For the Lorentz- and CPT-violating dispersion relation E_{\\pm}^2=p^2 \\pm 2\\xi p^3/M_{Pl}, where \\pm denotes different circular polarization states of the photon, the parameter \\xi is constrained as |\\xi|

Kenji Toma; Shinji Mukohyama; Daisuke Yonetoku; Toshio Murakami; Shuichi Gunji; Tatehiro Mihara; Yoshiyuki Morihara; Tomonori Sakashita; Takuya Takahashi; Yudai Wakashima; Hajime Yonemochi; Noriyuki Toukairin

2012-11-09T23:59:59.000Z

359

Method for tracking the location of mobile agents using stand-off detection technique  

DOE Patents [OSTI]

A method for tracking the movement and position of mobile agents using light detection and ranging (LIDAR) as a stand-off optical detection technique. The positions of the agents are tracked by analyzing the time-history of a series of optical measurements made over the field of view of the optical system. This provides a (time+3-D) or (time+2-D) mapping of the location of the mobile agents. Repeated pulses of a laser beam impinge on a mobile agent, such as a bee, and are backscattered from the agent into a LIDAR detection system. Alternatively, the incident laser pulses excite fluorescence or phosphorescence from the agent, which is detected using a LIDAR system. Analysis of the spatial location of signals from the agents produced by repeated pulses generates a multidimensional map of agent location.

Schmitt, Randal L. (Tijeras, NM); Bender, Susan Fae Ann (Tijeras, NM); Rodacy, Philip J. (Albuquerque, NM); Hargis, Jr., Philip J. (Albuquerque, NM); Johnson, Mark S. (Albuquerque, NM)

2006-12-26T23:59:59.000Z

360

Meteorological Observations for Renewable Energy Applications at Site 300  

SciTech Connect (OSTI)

In early October 2010, two Laser and Detection Ranging (LIDAR) units (LIDAR-96 and LIDAR-97), a 3 m tall flux tower, and a 3 m tall meteorological tower were installed in the northern section of Site 300 (Figure 1) as a first step in development of a renewable energy testbed facility. This section of the SMS project is aimed at supporting that effort with continuous maintenance of atmospheric monitoring instruments capable of measuring vertical profiles of wind speed and wind direction at heights encountered by future wind power turbines. In addition, fluxes of energy are monitored to estimate atmospheric mixing and its effects on wind flow properties at turbine rotor disk heights. Together, these measurements are critical for providing an accurate wind resource characterization and for validating LLNL atmospheric prediction codes for future renewable energy projects at Site 300. Accurate, high-resolution meteorological measurements of wind flow in the planetary boundary layer (PBL) and surface-atmosphere energy exchange are required for understanding the properties and quality of available wind power at Site 300. Wind speeds at heights found in a typical wind turbine rotor disk ({approx} 40-140 m) are driven by the synergistic impacts of atmospheric stability, orography, and land-surface characteristics on the mean wind flow in the PBL and related turbulence structures. This section of the report details the maintenance and labor required in FY11 to optimize the meteorological instruments and ensure high accuracy of their measurements. A detailed look at the observations from FY11 is also presented. This portion of the project met the following milestones: Milestone 1: successful maintenance and data collection of LIDAR and flux tower instruments; Milestone 2: successful installation of solar power for the LIDAR units; and Milestone 3: successful implementation of remote data transmission for the LIDAR units.

Wharton, S; Alai, M; Myers, K

2011-10-26T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

GREEN FUNCTIONS FOR MULTIPLE SCATTERING AS MATHEMATICAL TOOLS FOR DENSE CLOUD REMOTE SENSING: THEORY, WITH PASSIVE AND ACTIVE APPLICATIONS.  

SciTech Connect (OSTI)

We survey radiative Green function theory (1) in linear transport theory where numerical procedures are required to obtain specific results and (2) in the photon diffusion limit (large optical depths) where it is analytically tractable, at least for homogeneous plane-parallel media. We then describe two recent applications of Green function theory to passive cloud remote sensing in the presence of strong three-dimensional transport effects. Finally, we describe recent instrumental breakthroughs in 'off-beam' cloud lidar which is based on direct measurements of radiative Green functions with special attention to the data collected during the Shuttle-based Lidar In-space Technology Experiment (LITE) mission.

Davis, A. B. (Anthony B.); Marshak, A. (Alexander); Cahalan, R. F. (Robert F.)

2001-01-01T23:59:59.000Z

362

Wide Area Wind Field Monitoring Status & Results  

SciTech Connect (OSTI)

Volume-scanning elastic has been investigated as a means to derive 3D dynamic wind fields for characterization and monitoring of wind energy sites. An eye-safe volume-scanning lidar system was adapted for volume imaging of aerosol concentrations out to a range of 300m. Reformatting of the lidar data as dynamic volume images was successfully demonstrated. A practical method for deriving 3D wind fields from dynamic volume imagery was identified and demonstrated. However, the natural phenomenology was found to provide insufficient aerosol features for reliable wind sensing. The results of this study may be applicable to wind field measurement using injected aerosol tracers.

Alan Marchant; Jed Simmons

2011-09-30T23:59:59.000Z

363

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARM ScienceaLidars

364

Accelerator Sources for THz science: A Review  

SciTech Connect (OSTI)

Free Electron Lasers have been around since 1977 providing not only a test bed for the physics of FELs and electron/photon interactions but as a workhorse of scientific research. More than 30 FELs are presently operating around the world spanning a wavelength range from the millimeter region to the hard x-ray using direct current and rf linear accelerators or storage rings as electron sources. The characteristics that have driven the development of these sources are the desire for high peak and average power, high micropulse energies, wavelength tunability, timing flexibility, and wavelengths that are unavailable from more conventional laser sources. Operation of FELs in the far infrared to terahertz regime poses special challenges which have been and are being addressed at a number of facilities around the world. This paper will review a number of former and existing FELs operating in this regime and discuss future efforts. Broadband collective radiation from relativistic electrons also plays a significant role in the production of FIR/THz radiation and several groups are taking advantage of this source for users. Applications for use of the radiation have evolved from simple imaging to complex pump probe tests of insulator/metal transitions and energy flow in organic molecules. We will discuss the technologies for generating the IR/FIR/THz radiation and cover some of the unique applications of such sources.

Neil, George R. [Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)

2014-01-01T23:59:59.000Z

365

Atmos. Chem. Phys., 8, 40194026, 2008 www.atmos-chem-phys.net/8/4019/2008/  

E-Print Network [OSTI]

been conducted in recent years with two different LIDAR systems at Paramaribo (5.8 N, 55.2 W), Suriname at Paramaribo (5.8 N, 55.2 W), Suriname we showed recently that cirrus clouds form in situ and effectively

Meskhidze, Nicholas

366

Ann. Geophys., 24, 807821, 2006 www.ann-geophys.net/24/807/2006/  

E-Print Network [OSTI]

smaller and less absorbing population of particles with a lidar ratio of 20 sr. Mixing of polluted air of aerosol. The extinction-to-backscatter ratio deter- mined on the 30 August 2003 at Thessaloniki evolution and was not mixed with the boundary layer aerosols mainly originating from local pollution

367

Information Products Laboratory forInformation Products Laboratory for EmergencyEmergency Response (IPLER)Response (IPLER)  

E-Print Network [OSTI]

internet #12;LiDAR sensor for 3D measurementsLiDAR sensor for 3D measurements Light detection and ranging Printing Office, 2005 #12;IPLER Problem Statement IIIPLER Problem Statement II ...THUS - disaster response products 3. Transfer technology and knowledge to industry and users 4. Ensure IPLER sustainability through

Zanibbi, Richard

368

Passive Tomography of Turbulence Strength Marina Alterman1  

E-Print Network [OSTI]

expensive. Turbulence significantly affects the efficiency of wind turbine #12;2 M. Alterman, Y. Y), wind, and atmospheric stability. This is measured using special Doppler lidars [9, 31], which are very. Schechner, M. Vo and S. G. Narasimhan farms [31], hence optimizing turbines and farms involves measuring TS

Sheikh, Yaser Ajmal

369

Annual Report of the EURATOM/CCFE Fusion Programme 2009/10 8 ITER Systems  

E-Print Network [OSTI]

and building to start in 2010. Fusion for Energy (F4E), the European domestic agency, which has to deliver and the ancillary buildings was completed at Cadarache in the south of France, and is now ready for excavations cyclotron resonance heating (ICRH) system; · Neutral beam injection system; · Core LIDAR Thompson scattering

370

Combined CloudSatCALIPSOMODIS retrievals of the properties of ice clouds  

E-Print Network [OSTI]

March 2010; published 21 July 2010. [1] In this paper, data from spaceborne radar, lidar and infrared radiometers on the "ATrain" of satellites are combined in a variational algorithm to retrieve ice cloud the impact of the microphysical assumptions on the algorithm when radiances are not assimilated by evaluating

Hogan, Robin

371

Seasonal variations of semidiurnal tidal perturbations in mesopause region temperature and zonal and meridional winds above  

E-Print Network [OSTI]

.1029/2007JD009687. 1. Introduction [2] Solar thermal tides are global-scale waves that dom- inate to conserve wave energy. When propagating into the MLT region, the horizontal wind tidal amplitude can reach with fluorescence lidar's advantages of high temporal and spatial resolution and the capability of full diurnal

372

Increasing output energy from a passively Q-switched Er:glass laser  

E-Print Network [OSTI]

designators, laser range finders, wind metrology, LIDARs, and communication [8­10]. Passive Q- switches have many advantages over active ones. These include low cost, compact size and weight, robustness, and high are passively Q-switched, only the lowest spatial mode can develop. Attempts to increase the pump power in order

Friesem, Asher A.

373

11 Recent highlights On the role ofOn the role of  

E-Print Network [OSTI]

cause cooling because they reflect solar radiation (visible and ultraviolet light) back into space. Whether a given cirrus cloud has a net warming or cooling effect depends on its optical thickness area of the ice crystals. Lidar and Radar remote sensing · Over the past number of years, a new

Haak, Hein

374

Remote Sensing of Mountain Environments Andreas Kb, Department of Geography, University of Zurich, Switzerland  

E-Print Network [OSTI]

;2 Visible light and near infrared (VNIR): sensors collect the reflected sunlight (passive sensor); data and near infrared light, short-wave infrared, thermal infrared, and microwaves) (Figure 1). Together, LIDAR; active sensor) apply often near infrared. Short-wave infrared (SWIR): some surfaces show

Kb, Andreas

375

From sedimentary records to sediment budgets: Multiple approaches to catchment sediment flux  

E-Print Network [OSTI]

From sedimentary records to sediment budgets: Multiple approaches to catchment sediment flux.M., Germany Abstract This paper reviews the traditional approach to sediment budget studies in geomorphology sensing (LiDAR), geophysics and sediment-based dating techniques for flux rate estimation. The precision

Paris-Sud XI, Université de

376

Frequency agile optical parametric oscillator  

DOE Patents [OSTI]

The frequency agile OPO device converts a fixed wavelength pump laser beam to arbitrary wavelengths within a specified range with pulse to pulse agility, at a rate limited only by the repetition rate of the pump laser. Uses of this invention include Laser radar, LIDAR, active remote sensing of effluents/pollutants, environmental monitoring, antisensor lasers, and spectroscopy.

Velsko, Stephan P. (Livermore, CA)

1998-01-01T23:59:59.000Z

377

Atmos. Chem. Phys., 11, 1193711949, 2011 www.atmos-chem-phys.net/11/11937/2011/  

E-Print Network [OSTI]

ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction the United States Department of Energy (US DOE) Atmo- spheric Radiation Measurement (ARM) Mixed-Phase Arc, and plant growth (e.g. Prowse et al., 2009). Of clouds observed at high latitudes, mixed-phase stratiform

Meskhidze, Nicholas

378

THE MAGIC FIELD CAMPAIGN IN THE EASTERN NORTH PACIFIC E. R. Lewis  

E-Print Network [OSTI]

at the 7th International Scientific Conference on the Global Water and Energy Cycle, the Hague, Netherlands (Atmospheric Radiation Measurement) Climate Research Facility of the US Department of Energy, occurred between radars, lidars, a ceilometer, microwave radiometers, a total sky imager, disdrometers, and other

Ohta, Shigemi

379

A global forest canopy height map from the Moderate Resolution Imaging Spectroradiometer and the Geoscience  

E-Print Network [OSTI]

- radiometer and the Geoscience Laser Altimeter System, Geophys. Res. Lett., 37, L15401, doi:10.1029/2010GL, is sensitive throughout the range of biomass [Lefsky et al., 2005a, 2005b]. Each lidar waveform is a high spatial resolution record of the energy returned when a shortduration pulse of light is returned from

Lefsky, Michael

380

The Interruption of Alpine Foehn by a Cold Front. Part I: Observations  

E-Print Network [OSTI]

propagation speed wf 1 m/s Inclination of the frontal surface is wf /uf 1/7.5 8 Freitag (1990 in valleys Interaction with local winds (e.g., foehn) foehn cold front Cold front in complex terrain ? ? #12 in Inn and Wipp Valley Temperature slope profile Doppler wind lidar in Wipp Valley #12;6 of 13 Case study

Gohm, Alexander

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Geospatial analysis of a coastal sand dune field evolution: Jockey's Ridge, North Carolina  

E-Print Network [OSTI]

Geospatial analysis of a coastal sand dune field evolution: Jockey's Ridge, North Carolina Helena, geospatial analysis, feature extraction, and quantification of change. These techniques were applied requires in-depth understanding of their evolution. Modern geospatial technologies such as lidar, real time

Mitasova, Helena

382

Gravity waves in the arctic mesosphere during the MaCWAVE/MIDAS summer rocket program  

E-Print Network [OSTI]

with the mean state. Previous rocket campaigns addressing gravity wave dynam- ics included MAC/SINE, MAC/EPSILON [Thrane, 1990], and CADRE/MALTED [Fritts et al., 1997]. [3] The MaCWAVE/MIDAS campaign in July 2002 the Andøya Rocket Range in northern Norway with ground-based lidar and radar measurements from the nearby

383

CX-006557: Categorical Exclusion Determination  

Broader source: Energy.gov [DOE]

Differential Absorption Lidar (DIAL) for Spatial Mapping of Carbon DioxideCX(s) Applied: B3.8, B3.11Date: 08/17/2011Location(s): Toole County, MontanaOffice(s): Fossil Energy, National Energy Technology Laboratory

384

Quantitative Methods for Comparing Different Polyline Stream Network Models  

SciTech Connect (OSTI)

Two techniques for exploring relative horizontal accuracy of complex linear spatial features are described and sample source code (pseudo code) is presented for this purpose. The first technique, relative sinuosity, is presented as a measure of the complexity or detail of a polyline network in comparison to a reference network. We term the second technique longitudinal root mean squared error (LRMSE) and present it as a means for quantitatively assessing the horizontal variance between two polyline data sets representing digitized (reference) and derived stream and river networks. Both relative sinuosity and LRMSE are shown to be suitable measures of horizontal stream network accuracy for assessing quality and variation in linear features. Both techniques have been used in two recent investigations involving extracting of hydrographic features from LiDAR elevation data. One confirmed that, with the greatly increased resolution of LiDAR data, smaller cell sizes yielded better stream network delineations, based on sinuosity and LRMSE, when using LiDAR-derived DEMs. The other demonstrated a new method of delineating stream channels directly from LiDAR point clouds, without the intermediate step of deriving a DEM, showing that the direct delineation from LiDAR point clouds yielded an excellent and much better match, as indicated by the LRMSE.

Danny L. Anderson; Daniel P. Ames; Ping Yang

2014-04-01T23:59:59.000Z

385

Volume estimates of trees with complex architecture from terrestrial laser scanning  

E-Print Network [OSTI]

consuming and can require destructive sampling. In this study we used a terrestrial lidar sensor; data was analyzed on the basis of branch size and the sampling pattern of the sensor. Two hundred and fifty. 2, 023521 (14 May 2008) 2008 Society of Photo-Optical Instrumentation Engineers [DOI: 10

Lefsky, Michael

386

Sean C. Ahearn, Ph.D. Department of Geography Hunter College, The Doctoral Program in Earth and Environmental  

E-Print Network [OSTI]

and potential applications of high density LiDAR data for the City of New York" , Proceedings American Society Research". $409,000. 2. US Department of Energy. 2010-11. Co-PI. "NYC Solar Map", Directed development and Environmental Sciences, City University of New York; and Director: Center for Advanced Research of Spatial

Frei, Allan

387

THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE  

E-Print Network [OSTI]

. #12;i ABSTRACT With advances in range finding technology and computing power, vehicle automation ENGINEERING SIMULATION OF A VEHICLE DOCKING AND COLLISION AVOIDANCE SYSTEM USING LIDAR-BASED OBJECT TRACKING is becoming increasingly commonplace. One of the requirements for these vehicles is to meet or exceed

Brennan, Sean

388

Frequency agile optical parametric oscillator  

DOE Patents [OSTI]

The frequency agile OPO device converts a fixed wavelength pump laser beam to arbitrary wavelengths within a specified range with pulse to pulse agility, at a rate limited only by the repetition rate of the pump laser. Uses of this invention include Laser radar, LIDAR, active remote sensing of effluents/pollutants, environmental monitoring, antisensor lasers, and spectroscopy. 14 figs.

Velsko, S.P.

1998-11-24T23:59:59.000Z

389

A Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J.Tripoli,Edwin W.Eloranta  

E-Print Network [OSTI]

Experiments (LAKE-ICE) on 21 December 1997,the University of Wisconsin Volume Imaging Lidar (UW-VIL) observedA Nested Micro-Scale Simulation of a Lake Michigan Land-Breeze Front Gijs de Boer,Gregory J.Tripoli,Edwin W.Eloranta Department of Atmospheric and Oceanic Sciences,The University of Wisconsin - Madison

Eloranta, Edwin W.

390

Introduction As part of the LAKE-ICE experiment the University of Wisconsin Volume  

E-Print Network [OSTI]

Introduction As part of the LAKE-ICE experiment the University of Wisconsin Volume Imaging Lidar (VIL) observed a land-breeze circulation along the western shore of Lake Michigan. During the classic structure of a density current along with gravity waves forced by the front. The University

Eloranta, Edwin W.

391

A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data  

E-Print Network [OSTI]

A GIS-Assisted Rail Construction Econometric Model that Incorporates LlDAR Data David J. Cowen employed a raster GIS econometric routing model for the exploration of potential routes using construction in the grid-based econometric model was obtained from Light Detection and Ranging (LIDAR)data with accurate 0

Hodgson, Michael E.

392

Morphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George Island, Florida  

E-Print Network [OSTI]

of the barrier island are analyzed, along with the short-term post-storm recovery of secondary dunes. ResultsMorphological barrier island changes and recovery of dunes after Hurricane Dennis, St. George September 2009 Keywords: Dune recovery LiDAR Overwash Hurricane Dennis Barrier island During the summer

Fagherazzi, Sergio

393

Effectsof ice-crystal structure on halo formation: cirrus cloud  

E-Print Network [OSTI]

Effectsof ice-crystal structure on halo formation: cirrus cloud experimental and ray campaign, four 220halo-producing cirrus clouds were studied jointly from a ground- based polarization lidar of the aircraft, which collecteda total of 84slides byimpaction, preserving the ice crystals for later microscopic

Takano, Yoshihide

394

Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.202) Track: Technical  

E-Print Network [OSTI]

tower-mounted instruments. Typical turbine hub heights are now in excess of 70m. For such machinesSession: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.202) Track: Technical COMMERCIAL LIDAR PROFILERS FOR WIND ENERGY. A COMPARATIVE GUIDE. (abstract

395

Modeling a Prototype Optical Collision Avoidance Sensor For Unmanned Aerial Vehicles  

E-Print Network [OSTI]

of direct solar illumination. We demonstrate a prototype system based on a network of independent camera emulator allows for realistic field tests with consumer components. Aspects of the design, implementation. Numerous versions of the SAA instrument based on radar, LIDAR and passive- optical, among other

Hornsey, Richard

396

HyperCube Updates Version 11.2 (05/9/14)  

E-Print Network [OSTI]

and 64 bit) needed to process Lidar full wave form (FWF) sample data files (SDF) in now included. This functionality only applies to the Windows PC version. An SDF example data set, Duncan Knob.zip, has been added and process Riegl (www.riegl.com) full wave form (FWF) sample data files (SDF) has been added (menu File

397

Quick Start The various sample data files after expansion (use Zip)  

E-Print Network [OSTI]

library (49 signature files and 1 library list file, all in ASCII, 300 KB). Duncan Knob.sdf Lidar full wave form SDF file (60 MB). Duncan Knob.idx Required index file for Duncan Knob.sdf (4.5 MB). sbet_mission 1.out Smoothed Best Estimate of Trajectory file. Needed for Duncan Knob.sdf (98 MB). Immediate

398

Building boundary is necessary for the real estate industry, flood management, and homeland security applications.  

E-Print Network [OSTI]

Abstract Building boundary is necessary for the real estate industry, flood management, and homeland security applications. The extraction of building boundary is also a crucial and difficult step, and Purdue University campus are evaluated. Introduction Airborne lidar (light detection and ranging

Shan, Jie

399

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, VOL. 11, NO. 1, JANUARY 2014 5 Retrieval of Forest Stand Age From SAR Image  

E-Print Network [OSTI]

-Fernandez Abstract--Data on forest variables (e.g., biomass, trunk height, density) are necessary for environmental contender as an alternative to the usual o based relationships applied to this type of forest. Index Terms--Biomass of backscattering coefficient o/biomass relationships [4]. If available, LIDAR data that supply height estimations

Paris-Sud XI, Universit de

400

ICOWES2013 Conference 17-19 June 2013, Lyngby WINDS OBSERVED IN THE NORTHERN EUROPEAN SEAS WITH  

E-Print Network [OSTI]

ICOWES2013 Conference 17-19 June 2013, Lyngby 1 WINDS OBSERVED IN THE NORTHERN EUROPEAN SEAS and SSM/I have been compared to offshore meteorological data. For the final satellite-based wind atlas 9 shear observed from the lidars. #12;Another aim was to produce a wind atlas based on satellite data

Haak, Hein

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO.206) Track: Technical  

E-Print Network [OSTI]

Session: Poster Session + Poster Award + Scientific Award + Excellent young wind doctor award (PO the erection of masts equipped with calibrated cup or sonic anemometers. In order to reduce costs associated, the mean horizontal wind speed measured with a LiDAR shows very good comparison to cup anemometers. However

402

Map-aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment  

E-Print Network [OSTI]

Map-aided Fusion Using Evidential Grids for Mobile Perception in Urban Environment Marek Kurdej knowl- edge. A geographic map is considered an additional source of information fused with a grid are detailed in sec- tion 2.4. Figure 1 presents a general overview of our approach. LIDAR Applanix maps ScanGrid

Paris-Sud XI, Universit de

403

First estimates of mass concentrations from Eyjafjll over The Netherlands using PCA on  

E-Print Network [OSTI]

First estimates of mass concentrations from Eyjafjöll over The Netherlands using PCA on multi The Netherlands a limit has been proposed of 1 mg m-3. Here, we present preliminary results from Raman lidar measurements made in central Netherlands. A first estimate of the maximum mass loading that occurred over

Graaf, Martin de

404

Session: Site assessment (CS4.4) Track: Scientific  

E-Print Network [OSTI]

in horizontal focus distances. Results: Half hour periods as functions of direction show that the wind speed observed as it was expected. Conclusion: We can measure profiles with a LiDAR both of the mean wind speed, the wind direction, and, with more uncertainty, the momentum flux in vertical scanning mode and simple

405

Prof. David Matthiesen, Ph.D. Faculty Director  

E-Print Network [OSTI]

capacity installed as of the end of 2011 and over 8,300 MW currently under construction in the U The WERC Center facilities include: A. Natural Power ZephIR · LiDAR wind measurement system B. NPS North

Rollins, Andrew M.

406

Annual Report of the EURATOM/CCFE Fusion Programme 2013 8 ITER SYSTEMS  

E-Print Network [OSTI]

and undertake leading or major roles in the design and R&D of ITER specialist systems (Plasma Heating, Diagnostics and Remote Handling etc.). Seek to play other design roles in R&D of ITER specialist systems Resonance Heating (ICRH) system. Neutral Beam Injection heating system. Core LIDAR Thompson scattering

407

Annual Report of the EURATOM/CCFE Fusion Programme 2012/13 8 ITER SYSTEMS  

E-Print Network [OSTI]

Heating, Diagnostics and Remote Handling etc). · Seek to play other design roles in R&D of ITER specialist in the following key ITER systems: · Ion Cyclotron Resonance Heating (ICRH) system. · Neutral Beam Injection heating system. · Core LIDAR Thompson scattering to measure the electron temperature and density profiles

408

Eurographics/ IEEE-VGTC Symposium on Visualization 2008 A. Vilanova, A. Telea, G. Scheuermann, and T. Mller  

E-Print Network [OSTI]

LIDAR remote sensing data and not just [the resulting] bare earth [Digital Elevation Maps (DEM)]," "research on using the entire point cloud of this remote sensing data for scien- tific applications has been including a main 3D view, a heat map view and a zoomed-in inspection view. For the main 3D view a three

Wartell, Zachary

409

Ris-R-Report Flow distortion on boom mounted cup  

E-Print Network [OSTI]

of this magnitude are severely problematic in the measurement of wind turbine power performance, wind resource assessment and for providing purposeful in-field comparisons between different sensors, e.g. lidar: References: 9 Information Service Department Risø National Laboratory for Sustainable Energy Technical

410

Cruise Report R/V F. G. Walton Smith Cruise 0813  

E-Print Network [OSTI]

Cruise Report R/V F. G. Walton Smith Cruise 0813 7 - 11 September 2008 Development Cruise for Dye Experiments with Airborne LIDAR DRAFT Summary The purpose of the Walton Smith Cruise 0813 was to develop, Engineer Stewart Bell, Mate Jimmy Bovina, Cook William Smith, ABS Dennis Ilias, Marine Technician, RSMAS

Sundermeyer, Miles A.

411

The Bolund Experiment Design of Measurement Campaign using CFD  

E-Print Network [OSTI]

determination of mean wind, wind gradients and turbulence intensity on potential wind turbine positions complex terrain for reliable estimation of power production and wind turbine loads. · Development of remote sensing techniques (Lidar) for measuring wind conditions in complex terrain, including

412

Ris-R-Report 12MW: final report  

E-Print Network [OSTI]

at the Horns Rev offshore wind farm deploying a lidar and a sodar on the transformer platform. The observed the scientific basis relevant for the next generation of huge 12 MW wind turbines operating offshore. The project data were successfully compared to offshore mast data and the wind profile was extended 100 m above

413

Integrating multi-temporal spectral and structural information to map wetland vegetation in a lower Connecticut River tidal marsh  

E-Print Network [OSTI]

: Coastal wetlands Image classification LiDAR Phragmites australis QuickBird Spectroradiometer Vegetation variability of the dominant marsh plant species, Spartina patens, Phragmites australis and Typha spp-native genotype of Phragmites australis (Cav.) Trin. ex Steud (common reed) in Connecticut marshes (Barrett

Royer, Dana

414

Tracking Dynamic Boundary Fronts using Range Sensors  

E-Print Network [OSTI]

are being deployed for real-time monitoring applica- tions, such as detecting leakage of hazardous material location whereas in the latter approach a sensor finds approximate distance to a remote location where degrees and gather reflec- tivity and wind velocity information. Lidars (LIght Detection and Ranging

Ramamritham, Krithi

415

3-D MAPPING TECHNOLOGIES FOR HIGH LEVEL WASTE TANKS  

SciTech Connect (OSTI)

This research investigated four techniques that could be applicable for mapping of solids remaining in radioactive waste tanks at the Savannah River Site: stereo vision, LIDAR, flash LIDAR, and Structure from Motion (SfM). Stereo vision is the least appropriate technique for the solids mapping application. Although the equipment cost is low and repackaging would be fairly simple, the algorithms to create a 3D image from stereo vision would require significant further development and may not even be applicable since stereo vision works by finding disparity in feature point locations from the images taken by the cameras. When minimal variation in visual texture exists for an area of interest, it becomes difficult for the software to detect correspondences for that object. SfM appears to be appropriate for solids mapping in waste tanks. However, equipment development would be required for positioning and movement of the camera in the tank space to enable capturing a sequence of images of the scene. Since SfM requires the identification of distinctive features and associates those features to their corresponding instantiations in the other image frames, mockup testing would be required to determine the applicability of SfM technology for mapping of waste in tanks. There may be too few features to track between image frame sequences to employ the SfM technology since uniform appearance may exist when viewing the remaining solids in the interior of the waste tanks. Although scanning LIDAR appears to be an adequate solution, the expense of the equipment ($80,000-$120,000) and the need for further development to allow tank deployment may prohibit utilizing this technology. The development would include repackaging of equipment to permit deployment through the 4-inch access ports and to keep the equipment relatively uncontaminated to allow use in additional tanks. 3D flash LIDAR has a number of advantages over stereo vision, scanning LIDAR, and SfM, including full frame time-of-flight data (3D image) collected with a single laser pulse, high frame rates, direct calculation of range, blur-free images without motion distortion, no need for precision scanning mechanisms, ability to combine 3D flash LIDAR with 2D cameras for 2D texture over 3D depth, and no moving parts. The major disadvantage of the 3D flash LIDAR camera is the cost of approximately $150,000, not including the software development time and repackaging of the camera for deployment in the waste tanks.

Marzolf, A.; Folsom, M.

2010-08-31T23:59:59.000Z

416

Visualization of Fuel Cell Water Transport and Performance Characterization under Freezing Conditions  

SciTech Connect (OSTI)

In this program, Rochester Institute of Technology (RIT), General Motors (GM) and Michigan Technological University (MTU) have focused on fundamental studies that address water transport, accumulation and mitigation processes in the gas diffusion layer and flow field channels of the bipolar plate. These studies have been conducted with a particular emphasis on understanding the key transport phenomena which control fuel cell operation under freezing conditions. Technical accomplishments are listed below: Demonstrated that shutdown air purge is controlled predominantly by the water carrying capacity of the purge stream and the most practical means of reducing the purge time and energy is to reduce the volume of liquid water present in the fuel cell at shutdown. The GDL thermal conductivity has been identified as an important parameter to dictate water accumulation within a GDL. Found that under the normal shutdown conditions most of the GDL-level water accumulation occurs on the anode side and that the mass transport resistance of the membrane electrode assembly (MEA) thus plays a critically important role in understanding and optimizing purge. Identified two-phase flow patterns (slug, film and mist flow) in flow field channel, established the features of each pattern, and created a flow pattern map to characterize the two-phase flow in GDL/channel combination. Implemented changes to the baseline channel surface energy and GDL materials and evaluated their performance with the ex situ multi-channel experiments. It was found that the hydrophilic channel (contact angle ? ? 10?) facilitates the removal of liquid water by capillary effects and by reducing water accumulation at the channel exit. It was also found that GDL without MPL promotes film flow and shifts the slug-to-film flow transition to lower air flow rates, compared with the case of GDL with MPL. Identified a new mechanism of water transport through GDLs based on Haines jump mechanism. The breakdown and redevelopment of the water paths in GDLs lead to an intermittent water drainage behavior, which is characterized by dynamic capillary pressure and changing of breakthrough location. MPL was found to not only limit the number of water entry locations into the GDL (thus drastically reducing water saturation), but also stabilizes the water paths (or morphology). Simultaneously visualized the water transport on cathode and anode channels of an operating fuel cell. It was found that under relatively dry hydrogen/air conditions at lower temperatures, the cathode channels display a similar flow pattern map to the ex-situ experiments under similar conditions. Liquid water on the anode side is more likely formed via condensation of water vapor which is transported through the anode GDL. Investigated the water percolation through the GDL with pseudo-Hele-Shaw experiments and simulated the capillary-driven two-phase flow inside gas diffusion media, with the pore size distributions being modeled by using Weibull distribution functions. The effect of the inclusion of the microporous layer in the fuel cell assembly was explored numerically. Developed and validated a simple, reliable computational tool for predicting liquid water transport in GDLs. Developed a new method of determining the pore size distribution in GDL using scanning electron microscope (SEM) image processing, which allows for separate characterization of GDL wetting properties and pore size distribution. Determined the effect of surface wettability and channel cross section and bend dihedral on liquid holdup in fuel cell flow channels. A major thrust of this research program has been the development of an optimal combination of materials, design features and cell operating conditions that achieve a water management strategy which facilitates fuel cell operation under freezing conditions. Based on our various findings, we have made the final recommendation relative to GDL materials, bipolar design and surface properties, and the combination of materials, design featur

Kandlikar, S.G.; Lu, Z.; Rao, N.; Sergi, J.; Rath, C.; Dade, C.; Trabold, T.; Owejan, J.; Gagliardo, J.; Allen, J.; Yassar, R.S.; Medici, E.; Herescu, A.

2010-05-30T23:59:59.000Z

417

The Aerosol Lidar Validation Experiment … ALIVE 1Schmid, B., 2Ferrare, R., 3Turner,D., 4Flynn, C., 5Cairns, B., 6Dominguez, R., 6Gore, W., 7Groff, D., 8Herman, B., 9Hovelman, B., 10Jefferson, A., 6Johnson, R., 5Knobelspiesse, K., 4Mendoza, A., 10Ogren, J., 4Petty, D., ?Russell, E., 6Russell, P., 4Roeder, L., 6Truong, N. 1BAER Institute, 2NASA Langley Res. Center, 3Univ. Of Wisconsin-Madison, 4Pacific Northwest Natl. Lab., 5Columbia Univ., 6NASA Ames Res. Center, 7ARM SGP, 8City Univ. of New York, 9Sky Research, Inc., 10NOAA CMDL  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism in Layered NbS2 and NbSe2 .2004 North Slope

418

Nuclear photonics at ultra-high counting rates and higher multipole excitations  

SciTech Connect (OSTI)

Next-generation {gamma} beams from laser Compton-backscattering facilities like ELI-NP (Bucharest)] or MEGa-Ray (Livermore) will drastically exceed the photon flux presently available at existing facilities, reaching or even exceeding 10{sup 13}{gamma}/sec. The beam structure as presently foreseen for MEGa-Ray and ELI-NP builds upon a structure of macro-pulses ({approx}120 Hz) for the electron beam, accelerated with X-band technology at 11.5 GHz, resulting in a micro structure of 87 ps distance between the electron pulses acting as mirrors for a counterpropagating intense laser. In total each 8.3 ms a {gamma} pulse series with a duration of about 100 ns will impinge on the target, resulting in an instantaneous photon flux of about 10{sup 18}{gamma}/s, thus introducing major challenges in view of pile-up. Novel {gamma} optics will be applied to monochromatize the {gamma} beam to ultimately {Delta}E/E{approx}10{sup -6}. Thus level-selective spectroscopy of higher multipole excitations will become accessible with good contrast for the first time. Fast responding {gamma} detectors, e.g. based on advanced scintillator technology (e.g. LaBr{sub 3}(Ce)) allow for measurements with count rates as high as 10{sup 6}-10{sup 7}{gamma}/s without significant drop of performance. Data handling adapted to the beam conditions could be performed by fast digitizing electronics, able to sample data traces during the micro-pulse duration, while the subsequent macro-pulse gap of ca. 8 ms leaves ample time for data readout. A ball of LaBr{sub 3} detectors with digital readout appears to best suited for this novel type of nuclear photonics at ultra-high counting rates.

Thirolf, P. G.; Habs, D.; Filipescu, D.; Gernhaeuser, R.; Guenther, M. M.; Jentschel, M.; Marginean, N.; Pietralla, N. [Fakultaet f. Physik, Ludwig-Maximilians-Universitaet Muenchen, Garching (Germany); Fakultaet f. Physik, Ludwig-Maximilians-Universitaet Muenchen, Garching, Germany and Max-Planck-Institute f. Quantum Optics, Garching (Germany); IFIN-HH, Bucharest-Magurele (Romania); Physik Department E12,Technische Universitaet Muenchen, Garching (Germany); Max-Planck-Institute f. Quantum Optics, Garching (Germany); Institut Laue-Langevin, Grenoble (France); Physik Department E12,Technische Universitaet Muenchen, Garching (Germany); Institut f. Kernphysik, Technische Universitaet Darmstadt (Germany)

2012-07-09T23:59:59.000Z

419

Technical Assistance to Developers  

SciTech Connect (OSTI)

This task supports the allowance of technical assistance to fuel-cell component and system developers as directed by the DOE. This task includes testing of novel materials and participation in the further development and validation of single cell test protocols. This task also covers technical assistance to DOE Working Groups, the U.S. Council for Automotive Research (USCAR) and the USCAR/DOE Driving Research and Innovation for Vehicle efficiency and Energy sustainability (U.S. Drive) Fuel Cell Technology Team. Assistance includes technical validation of new fuel cell materials and methods, single cell fuel cell testing to support the development of targets and test protocols, and regular advisory participation in other working groups and reviews. This assistance is made available to PEM fuel cell developers by request and DOE Approval. The objectives are to: (1) Support technically, as directed by DOE, fuel cell component and system developers; (2) Assess fuel cell materials and components and give feedback to developers; (3) Assist the DOE Durability Working Group with the development of various new material durability Testing protocols; and (4) Provide support to the U.S. Council for Automotive Research (USCAR) and the USCAR/DOE Fuel Cell Technology Team. FY2012 specific technical objectives are: (1) Evaluate novel MPL materials; (2) Develop of startup/ shutdown protocol; (3) Test the impact of hydrophobic treatment on graphite bi-polar plates; (4) Perform complete diagnostics on metal bi-polar plates for corrosion; and (5) Participate and lead efforts in the DOE Working Groups.

Rockward, Tommy [Los Alamos National Laboratory; Borup, Rodney L. [Los Alamos National Laboratory; Garzon, Fernando H. [Los Alamos National Laboratory; Mukundan, Rangachary [Los Alamos National Laboratory; Spernjak, Dusan [Los Alamos National Laboratory

2012-07-17T23:59:59.000Z

420

Downstream Heat Flux Profile vs. Midplane T Profile in Tokamaks  

SciTech Connect (OSTI)

The relationship between the midplane scrape-off-layer electron temperature profile and the parallel heat flux profile at the divertor in tokamaks is investigated. A model is applied which takes into account anisotropic thermal diffusion, in a rectilinear geometry with constant density. Eigenmode analysis is applied to the simplified problem with constant thermal diffusivities. A self-similar nonlinear solution is found for the more realistic problem with anisotropically temperature-dependent thermal diffusivities. Numerical solutions are developed for both cases, with spatially dependent heat flux emerging from the plasma. For both constant and temperature-dependent thermal diffusivities it is found that, below about one-half of its peak, the heat flux profile shape at the divertor, compared with the midplane temperature profile shape, is robustly described by the simplest two-point model. However the physical processes are not those assumed in the simplest two-point model, nor is the numerical coefficient relating q||div to Tmp ?||mp/L|| as predicted. For realistic parameters the peak in the heat flux, moreover, can be reduced by a factor of two or more from the two-point model scaling which fits the remaining profile. For temperature profiles in the SOL region above the x-point set by marginal stability, the heat flux profile to the divertor can be largely decoupled from the prediction of the two-point model. These results suggest caveats for data interpretation, and possibly favorable outcomes for divertor configurations with extended field lines.

Robert J. Goldston

2009-08-20T23:59:59.000Z

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Amyloid Structure and Assembly: Insights from Scanning Transmission Electron Microscopy  

SciTech Connect (OSTI)

Amyloid fibrils are filamentous protein aggregates implicated in several common diseases such as Alzheimer's disease and type II diabetes. Similar structures are also the molecular principle of the infectious spongiform encephalopathies such as Creutzfeldt-Jakob disease in humans, scrapie in sheep, and of the so-called yeast prions, inherited non-chromosomal elements found in yeast and fungi. Scanning transmission electron microscopy (STEM) is often used to delineate the assembly mechanism and structural properties of amyloid aggregates. In this review we consider specifically contributions and limitations of STEM for the investigation of amyloid assembly pathways, fibril polymorphisms and structural models of amyloid fibrils. This type of microscopy provides the only method to directly measure the mass-per-length (MPL) of individual filaments. Made on both in vitro assembled and ex vivo samples, STEM mass measurements have illuminated the hierarchical relationships between amyloid fibrils and revealed that polymorphic fibrils and various globular oligomers can assemble simultaneously from a single polypeptide. The MPLs also impose strong constraints on possible packing schemes, assisting in molecular model building when combined with high-resolution methods like solid-state nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR).

Goldsbury, C.; Wall, J.; Baxa, U.; Simon, M. N.; Steven, A. C.; Engel, A.; Aebi, U.; Muller, S. A.

2011-01-01T23:59:59.000Z

422

Remote laser detection of natural gas leakages from pipelines  

SciTech Connect (OSTI)

A differential absorption lidar based on a tunable TEA CO{sub 2} laser emitting at 42 lines of the 'hot' 01{sup 1}1 - 11{sup 1}0 band in the range from 10.9 to 11.4 {mu}m is developed for detecting natural gas leakages from oil pipelines by measuring the ethane content in the atmosphere. The ethane detection sensitivity is 0.9 ppm km. The presence of methane does not distort the measurement results. The developed lidar can detect the natural gas leakage from kilometre heights at the flying velocities up to 200 km h{sup -1} and a probe pulse repetition rate of 5 Hz. (laser applications and other topics in quantum electronics)

Petukhov, V O; Gorobets, V A [B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk (Belarus); Andreev, Yu M [Institute of Monitoring of Climatic and Ecological Systems, Siberian Division of the Russian Academy of Sciences, Tomsk (Russian Federation); Lanskii, G V

2010-02-28T23:59:59.000Z

423

Continuous Profiles of Cloud Microphysical Properties for the Fixed Atmospheric Radiation Measurement Sites  

SciTech Connect (OSTI)

The Atmospheric Radiation Measurement (ARM) Program defined a specific metric for the third quarter of Fiscal Year 2006 to produce and refine a one-year continuous time series of cloud microphysical properties based on cloud radar measurements for each of the fixed ARM sites. To accomplish this metric, we used a combination of recently developed algorithms that interpret radar reflectivity profiles, lidar backscatter profiles, and microwave brightness temperatures into the context of the underlying cloud microphysical structure.

Jensen, M; Jensen, K

2006-06-01T23:59:59.000Z

424

REL ATRIO DE DESENVOLVIMENTO HUMANO 2007/2008 1 "O progresso humano no automtico nem inevitvel. Somos actualmente con ontados  

E-Print Network [OSTI]

pobres do mundo, milhões de pessoas são já obrigadas a lidar com os impactos das alterações climáticas. Esses impactos não captam uma atenção de destaque nos meios de comunicação mundiais en- quanto eventos número de situações de seca, de tempestades mais violentas, de cheias, e de stress ambiental está

425

Reconciling Ground-Based and Space-Based Estimates of the Frequency of Occurrence and Radiative Effect of Clouds around Darwin, Australia  

SciTech Connect (OSTI)

The objective of this paper is to investigate whether estimates of the cloud frequency of occurrence and associated cloud radiative forcing as derived from ground-based and satellite active remote sensing and radiative transfer calculations can be reconciled over a well instrumented active remote sensing site located in Darwin, Australia, despite the very different viewing geometry and instrument characteristics. It is found that the ground-based radar-lidar combination at Darwin does not detect most of the cirrus clouds above 10 km (due to limited lidar detection capability and signal obscuration by low-level clouds) and that the CloudSat radar - Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) combination underreports the hydrometeor frequency of occurrence below 2 km height, due to instrument limitations at these heights. The radiative impact associated with these differences in cloud frequency of occurrence is large on the surface downwelling shortwave fluxes (ground and satellite) and the top-of atmosphere upwelling shortwave and longwave fluxes (ground). Good agreement is found for other radiative fluxes. Large differences in radiative heating rate as derived from ground and satellite radar-lidar instruments and RT calculations are also found above 10 km (up to 0.35 Kday-1 for the shortwave and 0.8 Kday-1 for the longwave). Given that the ground-based and satellite estimates of cloud frequency of occurrence and radiative impact cannot be fully reconciled over Darwin, caution should be exercised when evaluating the representation of clouds and cloud-radiation interactions in large-scale models and limitations of each set of instrumentation should be considered when interpreting model-observations differences.

Protat, Alain; Young, Stuart; McFarlane, Sally A.; L'Ecuyer, Tristan; Mace, Gerald G.; Comstock, Jennifer M.; Long, Charles N.; Berry, Elizabeth; Delanoe, Julien

2014-02-01T23:59:59.000Z

426

Oktober 26. 2009 Prediction of Load and Power Fluctuations from Wind Turbine  

E-Print Network [OSTI]

and into the tangential direction of rotation of the wind turbine given by 1 0tan 2 2 0 (1.6) This is because a lidarOktober 26. 2009 Vers 003 Prediction of Load and Power Fluctuations from Wind Turbine Spinner for the fluctuating loads on the blade tip: The lift force on a section of a wind turbine's blade is given by the lift

427

A Geologic Characterization of the Alongshore Variability in Beach-Dune Morphology: Padre Island National Seashore, Texas  

E-Print Network [OSTI]

Page 1 Location map showing aerial LiDAR image from December, 2010 and satellite image of the three study sites ..................... 5 2 Example of coppice dunes along the backbeach stabilized by seaweed..., 1958). It is common, especially during the summer months for large amounts of Sargassum seaweed to wash up onshore, which is described by Weise (1980) to aide in the development of coppice dune fields along the foreshore (Figure 2a). From summer...

Weymer, Bradley

2012-07-16T23:59:59.000Z

428

A study of a dual polarization laser backscatter system for remote identification and measurement of water pollution  

E-Print Network [OSTI]

OF TABLES Table IV-1 Lidar Polarimeter Specifications ~Pa e 45 VI-1 Several Parameters Used for Computations in Single Scatter Model 65 VI-2 Scattering and Extinction Coefficients for Polystyrene Latex and Teflon Particles . 65 Values of Refractive... Up Aboard The Boat Excellence 55 55 57 59 VI-1 Comparison of Calculated Single Scatter Return with Experimental Data as a Function of Field of View and Latex Particle Concentration . . . . . 67 ~Fi ure VI-2 Comparison of Transmit...

Sheives, Thomas Carlyle

1974-01-01T23:59:59.000Z

429

ARM - Evaluation Product - Vertical Air Motion during Large-Scale  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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430

DE-FG02-08ER64658 (OASIS) - Final Technical Report  

SciTech Connect (OSTI)

Project OASIS (Operation of Advanced Structures, Interfaces and Sub-components for MEAs) was a 12 month project that ran from 1st September 2008 to 31st August 2009, and was managed by the Department of Energy Office of Science, Chicago Office, as Award No DE-FG02-08ER64658, with Johnson Matthey Fuel Cells Inc. as the sole contractor. The project was completed on schedule, with technical successes (details below) and payment of the full grant award made by DOE. The aim of the project was the development of membrane electrode assemblies (MEAs) for H2/air polymer electrolyte membrane (PEM) fuel cells that would give higher performance under hot/dry and dry operating conditions, ideally with no loss of performance under wet conditions. Reducing or eliminating the need for humidifying the incoming gases will allow significant system cost and size reduction for many fuel cell applications including automotive, stationary and back-up power, and portable systems. Portable systems are also of particular interest in military markets. In previous work Johnson Matthey Fuel Cells had developed very stable, corrosion-resistant catalysts suitable for resisting degradation by carbon corrosion in particular. These materials were applied within the OASIS project as they are considered necessary for systems such as automotive where multiple start-stop events are experienced. These catalysts were contrasted with more conventional materials in the design of catalyst layers and novel microporous layers (MPLs) and gas diffusion layer (GDL) combinations were also explored. Early on in the work it was shown how much more aggressive high temperature operation is than dry operation. At the same humidity, tests at 110?C caused much more dehydration than tests at 80?C and the high temperature condition was much more revealing of improvements made to MEA design. Alloy catalysts were introduced and compared with Pt catalysts with a range of particle sizes. It was apparent that the larger particle sizes of the alloy catalysts led to a reduction in performance that offset much of their kinetic advantage. The Pt-only materials clearly showed that small particles are beneficial to good performance under hot/dry conditions, because of their higher surface area, although they are known to be less stable to cyclic operation. An ex-situ water vapour sorption technique was developed that showed a very clear correlation with in-cell performance: catalyst powders that absorbed more water gave better performance in-cell. It was shown that alloy catalysts could give a 25 mV advantage over Pt-only at 1 Acm-2. GDL design was also shown to influence performance and more permeable GDLs on the anode allowed better membrane hydration and therefore conductivity. A very impermeable GDL on the cathode caused cathode flooding even under dry conditions, but a novel cathode MPL incorporating ionomer and operating at 110?C, 33/17% RH showed a 150 mV gain at 800 mAcm-2 over the conventional MPL. This project has increased the understanding of the factors that influence performance loss under dry conditions, including the development of an insightful ex-situ characterisation technique (Dynamic Vapour Sorption). All the approaches investigated can be readily implemented in state-of the-art MEAs, although optimisation would be needed to integrate the new designs with existing MEA types and to tune to the exact range of operating conditions. The work is thus expected to benefit the public by feeding through more condition-tolerant production MEAs to a range of applications and thereby accelerate the commercialisation of fuel cell technology. In summary, a number of specific catalyst, catalyst layer, MPL and GDL improvements were made during this project. Often the best designs under dry conditions translated to some performance loss under wet conditions, but compromise situations were also found where dry performance was improved with no loss of wet performance.

Sharman, Jonathan

2013-09-05T23:59:59.000Z

431

The effect of aerosol vertical profiles on satellite-estimated surface particle sulfate concentrations  

SciTech Connect (OSTI)

The aerosol vertical distribution is an important factor in determining the relationship between satellite retrieved aerosol optical depth (AOD) and ground-level fine particle pollution concentrations. We evaluate how aerosol profiles measured by ground-based lidar and simulated by models can help improve the association between AOD retrieved by the Multi-angle Imaging Spectroradiometer (MISR) and fine particle sulfate (SO4) concentrations using matched data at two lidar sites. At the Goddard Space Flight Center (GSFC) site, both lidar and model aerosol profiles marginally improve the association between SO4 concentrations and MISR fractional AODs, as the correlation coefficient between cross-validation (CV) and observed SO4 concentrations changes from 0.87 for the no-scaling model to 0.88 for models scaled with aerosol vertical profiles. At the GSFC site, a large amount of urban aerosols resides in the well-mixed boundary layer so the column fractional AODs are already excellent indicators of ground-level particle pollution. In contrast, at the Atmospheric Radiation Measurement Program (ARM) site with relatively low aerosol loadings, scaling substantially improves model performance. The correlation coefficient between CV and observed SO4 concentrations is increased from 0.58 for the no-scaling model to 0.76 in the GEOS-Chem scaling model, and the model bias is reduced from 17% to 9%. In summary, despite the inaccuracy due to the coarse horizontal resolution and the challenges of simulating turbulent mixing in the boundary layer, GEOS-Chem simulated aerosol profiles can still improve methods for estimating surface aerosol (SO4) mass from satellite-based AODs, particularly in rural areas where aerosols in the free troposphere and any long-range transport of aerosols can significantly contribute to the column AOD.

Liu, Yang; Wang, Zifeng; Wang, Jun; Ferrare, Richard A.; Newsom, Rob K.; Welton, Ellsworth J.

2011-02-15T23:59:59.000Z

432

STELLOPT Modeling of the 3D Diagnostic Response in ITER  

SciTech Connect (OSTI)

The ITER three dimensional diagnostic response to an n=3 resonant magnetic perturbation is modeled using the STELLOPT code. The in-vessel coils apply a resonant magnetic perturbation (RMP) fi eld which generates a 4 cm edge displacement from axisymmetry as modeled by the VMEC 3D equilibrium code. Forward modeling of flux loop and magnetic probe response with the DIAGNO code indicates up to 20 % changes in measured plasma signals. Simulated LIDAR measurements of electron temperature indicate 2 cm shifts on the low field side of the plasma. This suggests that the ITER diagnostic will be able to diagnose the 3D structure of the equilibria.

Lazerson, Samuel A

2013-05-07T23:59:59.000Z

433

Cloudnet Project  

DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

Cloudnet is a research project supported by the European Commission. This project aims to use data obtained quasi-continuously for the development and implementation of cloud remote sensing synergy algorithms. The use of active instruments (lidar and radar) results in detailed vertical profiles of important cloud parameters which cannot be derived from current satellite sensing techniques. A network of three already existing cloud remote sensing stations (CRS-stations) will be operated for a two year period, activities will be co-ordinated, data formats harmonised and analysis of the data performed to evaluate the representation of clouds in four major european weather forecast models.

Hogan, Robin

434

A multichannel, synchronous laser signal processing system  

E-Print Network [OSTI]

. Janice Carter and Mrs. Connie Schilhab, This research was funded by the United States Coast Guard under contract DOT- CG-34017-A. To Roselyn TABLE OF CONTENTS ~hh h ABSTRACT ACKNOWLEDGEMENTS DEDICATION TABLE OF CONTENTS. LIST OF FIGURES. LIST... Pe Q Q pe Qe @Qe Qe Qe Qe p? pe p, Qe 100 200 300 400 Turbidity (FTU) 500 600 700 Figure 1-1. Lidar Depolarization Ratio as a Function of Turbidity Chopper Linear Pol Laser Receiving Optics Telephoto Lense Pho odiod s Figure I...

Hulse, William Colbern

2012-06-07T23:59:59.000Z

435

ARM CLASIC ER2 CRS/EDOP  

SciTech Connect (OSTI)

Data was taken with the NASA ER-2 aircraft with the Cloud Radar System and other instruments in conjunction with the DOE ARM CLASIC field campaign. The flights were near the SGP site in north Central Oklahoma and targeted small developing convection. The CRS is a 94 GHz nadir pointing Doppler radar. Also on board the ER-2 was the Cloud Physics Lidar (CPL). Seven science flights were conducted but the weather conditions did not cooperate in that there was neither developing convection, or there was heavy rain.

Gerald Heymsfield

2010-12-20T23:59:59.000Z

436

Variability in Long-Wave Runup as a Function of Nearshore Bathymetric Features  

E-Print Network [OSTI]

and can be highly variable. The dynamic environment along the coast requires the thorough analysis of offshore features (Plant and Holman, 1997; Wang and Davis, 1998) which can be obtained through Light Detection and Ranging (lidar) (Brock et al., 2002... the movement of the sandbar to growth ratio. The results show that the sandbars moved onshore when the significant wave height was less than 1 m and offshore for wave heights greater than 1 m (Plant and Holman, 1997). The magnitude of the sandbar response...

Dunkin, Lauren M.

2011-08-08T23:59:59.000Z

437

Evaluating Global Aerosol Models and Aerosol and Water Vapor Properties Near Clouds  

SciTech Connect (OSTI)

Project goals: (1) Use the routine surface and airborne measurements at the ARM SGP site, and the routine surface measurements at the NSA site, to continue our evaluations of model aerosol simulations; (2) Determine the degree to which the Raman lidar measurements of water vapor and aerosol scattering and extinction can be used to remotely characterize the aerosol humidification factor; (3) Use the high temporal resolution CARL data to examine how aerosol properties vary near clouds; and (4) Use the high temporal resolution CARL and Atmospheric Emitted Radiance Interferometer (AERI) data to quantify entrainment in optically thin continental cumulus clouds.

Richard A. Ferrare; David D. Turner

2011-09-01T23:59:59.000Z

438

ARM - Publications: Science Team Meeting Documents  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD) by Microtops AtmosphericApplication and EvaluationUsing ARMOnImpact ofCombinationAircraftLidar

439

ARM - Evaluation Product - Multispectral Thermal Imager (MTI)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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440

ARM - Evaluation Product - NSA-Barrow AmeriFlux and Methane VAP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

ARM - Evaluation Product - Organic Aerosol Component VAP  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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442

ARM - Evaluation Product - Precipitation Radar Moments Mapped to a  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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443

ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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444

ARM - Evaluation Product - Radiatively Important Parameters Best Estimate  

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445

ARM - Evaluation Product - Sonde-Adjust  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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446

ARM - Evaluation Product - Station-based Surface Data Set  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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447

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of Aerosol

448

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of AerosolEvaluation of

449

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of AerosolEvaluation

450

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations of

451

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifying Error in

452

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Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifying Error

453

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Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifying

454

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingA Bulk

455

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingA

456

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingAUse of

457

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Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingAUse ofA

458

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingAUse

459

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations ofQuantifyingAUseCloud

460

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar Observations

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar ObservationsSub-Grid Scale Cloud

462

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar ObservationsSub-Grid Scale

463

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar ObservationsSub-Grid

464

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar ObservationsSub-GridTheoretical

465

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman Lidar

466

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of Dust Composition on

467

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of Dust Composition

468

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of Dust CompositionThe

469

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of Dust

470

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARM Science

471

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARM Sciencea

472

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARM

473

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARMCloud Tomography:

474

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARMCloud

475

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARMCloudCloud

476

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of DustARMCloudCloudARM

477

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence of

478

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper on Clouds with

479

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper on Clouds

480

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper on CloudsWide Angle

Note: This page contains sample records for the topic "micropulse lidar mpl" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper on CloudsWide

482

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper on

483

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper onCloud-Radiation

484

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaper

485

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperThe Apparent Bluing

486

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperThe Apparent

487

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperThe ApparentHow Much

488

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperThe ApparentHow

489

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperThe

490

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence ofPaperTheIntercomparison

491

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluence

492

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamics and Atmospheric

493

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamics and

494

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamics andCharacterizing

495

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamics

496

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamicsAerosol Effects on

497

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamicsAerosol Effects

498

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamicsAerosol EffectsCloud

499

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamicsAerosol

500

Research Highlight  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 -the Mid-Infrared at 278, 298,NIST31Raman LidarInfluenceDynamicsAerosolThe