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Sample records for vaisala ceilometer vceil

  1. ARM - PI Product - Vaisala CL51 ceilometer

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

    ProductsVaisala CL51 ceilometer Citation DOI: 10.5439/1177195 [ What is this? ] Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Vaisala CL51 ceilometer [ research data - External funding ] Vaisala CL51 ceilometer providing attenuated backscatter coefficients and cloud base heights. Purpose Understand vertical profiles of aerosol and cloud. Data Details Developed by Ewan OConnor | Reijo Roinonen Contact Ewan O'Connor

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

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

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

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

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

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

  4. 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)]

    Karen Johnson; Michael Jensen

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

  5. 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)]

    Karen Johnson; Michael Jensen

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

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

    SciTech Connect (OSTI)

    Karen Johnson; Michael Jensen

    1996-11-08

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

  7. 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)]

    Karen Johnson; Michael Jensen

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

  8. ARM - Instrument - vceil

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

    govInstrumentsvceil Documentation VCEIL : Handbook Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Error occurred. Instrument...

  9. ARM - Publications: Science Team Meeting Documents

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

    Two-Year Comparison of Cloud-Base Height Measured by MPL, MMCR, and VCEIL at the ARM/NSA Barrow Facility Petracca, B., Shaw, J.A., and Zak, B.D., Montana State University and Sandia National Laboratories This comparison focuses primarily on differences in cloud base height and percentage clear sky that are reported by the Micropulse Lidar (MPL), Millimeter Cloud Radar (MMCR), and Vaisala Ceilometer (VCEIL) at Barrow. Additionally, this study could be useful in interpreting the cloud data from

  10. ARM - Evaluation Product - Ceilometer Corrected for Ship Motion

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

    (CEILSHIPCOR) ProductsCeilometer Corrected for Ship Motion (CEILSHIPCOR) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Ceilometer Corrected for Ship Motion (CEILSHIPCOR) [ ARM research - evaluation data product ] The Ceilometer Ship Correction (CEILSHIPCOR) VAP is intended to correct the effect of

  11. Impact of Vaisala Radiosonde Humidity Corrections on ARM IOP Data

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

    Impact of Vaisala Radiosonde Humidity Corrections on ARM IOP Data L. M. Miloshevich National Center for Atmospheric Research Boulder, Colorado A. Paukkunen Vaisala Oy Helsinki, Finland H. Vömel and S. J. Oltmans National Oceanic and Atmospheric Administration Boulder, Colorado Introduction Radiosonde humidity measurements are fundamentally important to a variety of applications, including radiative transfer calculations, validation of remote-sensor retrievals, parameterization of cloud

  12. Lidar Inter-Comparison Exercise Final Campaign Report

    SciTech Connect (OSTI)

    Protat, A; Young, S

    2015-02-01

    The objective of this field campaign was to evaluate the performance of the new Leosphere R-MAN 510 lidar, procured by the Australian Bureau of Meteorology, by testing it against the MicroPulse Lidar (MPL) and Raman lidars, at the Darwin Atmospheric Radiation Measurement (ARM) site. This lidar is an eye-safe (355 nm), turn-key mini Raman lidar, which allows for the detection of aerosols and cloud properties, and the retrieval of particulate extinction profiles. To accomplish this evaluation, the R-MAN 510 lidar has been operated at the Darwin ARM site, next to the MPL, Raman lidar, and Vaisala ceilometer (VCEIL) for three months (from 20 January 2013 to 20 April 2013) in order to collect a sufficient sample size for statistical comparisons.

  13. In Situ Validation of a Correction for Time-Lag and Bias Errors in Vaisala RS80-H Radiosonde Humidity Measurements

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

    In Situ Validation of a Correction for Time-Lag and Bias Errors in Vaisala RS80-H Radiosonde Humidity Measurements L. M. Miloshevich National Center for Atmospheric Research Boulder, Colorado H. Vömel and S. J. Oltmans National Oceanic and Atmospheric Administration Boulder, Colorado A. Paukkunen Vaisala Oy Helsinki, Finland Introduction Radiosonde relative humidity (RH) measurements are fundamentally important to Atmospheric Radiation Measurement (ARM) Program goals because they are used in a

  14. Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jensen, M. P.; Holdridge, D.; Survo, P.; Lehtinen, R.; Baxter, S.; Toto, T.; Johnson, K. L.

    2015-11-02

    In the fall of 2013, the Vaisala RS41-SG (4th generation) radiosonde was introduced as a replacement for the RS92-SGP radiosonde with improvements in measurement accuracy of profiles of atmospheric temperature, humidity and pressure. Thus, in order to help characterize these improvements, an intercomparison campaign was undertaken at the US Department of Energy's Atmospheric Radiation Measurement (ARM) Facility site in north Central Oklahoma USA. During 3–8 June 2014, a total of 20 twin-radiosonde flights were performed in a variety of atmospheric conditions representing typical midlatitude continental summertime conditions. The results suggest that the RS92 and RS41 measurements generally agree within manufacturermore » specified tolerances with notable exceptions when exiting liquid cloud layers where the "wet bulbing" effect is mitigated in the RS41 observations. The RS41 measurements also appear to show a smaller impact from solar heating. These results suggest that the RS41 does provide important improvements, particularly in cloudy conditions, but under most observational conditions the RS41 and RS92 measurements agree within the manufacturer specified limits and so a switch to RS41 radiosondes will have little impact on long-term observational records.« less

  15. Comparison of Vaisala radiosondes RS41 and RS92 at the ARM Southern Great Plains Site

    SciTech Connect (OSTI)

    Jensen, M. P.; Holdridge, D.; Survo, P.; Lehtinen, R.; Baxter, S.; Toto, T.; Johnson, K. L.

    2015-11-02

    In the fall of 2013, the Vaisala RS41-SG (4th generation) radiosonde was introduced as a replacement for the RS92-SGP radiosonde with improvements in measurement accuracy of profiles of atmospheric temperature, humidity and pressure. Thus, in order to help characterize these improvements, an intercomparison campaign was undertaken at the US Department of Energy's Atmospheric Radiation Measurement (ARM) Facility site in north Central Oklahoma USA. During 3–8 June 2014, a total of 20 twin-radiosonde flights were performed in a variety of atmospheric conditions representing typical midlatitude continental summertime conditions. The results suggest that the RS92 and RS41 measurements generally agree within manufacturer specified tolerances with notable exceptions when exiting liquid cloud layers where the "wet bulbing" effect is mitigated in the RS41 observations. The RS41 measurements also appear to show a smaller impact from solar heating. These results suggest that the RS41 does provide important improvements, particularly in cloudy conditions, but under most observational conditions the RS41 and RS92 measurements agree within the manufacturer specified limits and so a switch to RS41 radiosondes will have little impact on long-term observational records.

  16. Evaluation of two Vaisala RS92 radiosonde solar radiative dry bias correction algorithms

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dzambo, A. M.; Turner, D. D.; Mlawer, E. J.

    2015-10-20

    Solar heating of the relative humidity (RH) probe on Vaisala RS92 radiosondes results in a large dry bias in the upper troposphere. Two different algorithms (Miloshevich et al., 2009, MILO hereafter; and Wang et al., 2013, WANG hereafter) have been designed to account for this solar radiative dry bias (SRDB). These corrections are markedly different with MILO adding up to 40 % more moisture to the original radiosonde profile than WANG; however, the impact of the two algorithms varies with height. The accuracy of these two algorithms is evaluated using three different approaches: a comparison of precipitable water vapor (PWV),moredownwelling radiative closure with a surface-based microwave radiometer at a high-altitude site (5.3 km MSL), and upwelling radiative closure with the space-based Atmospheric Infrared Sounder (AIRS). The PWV computed from the uncorrected and corrected RH data is compared against PWV retrieved from ground-based microwave radiometers at tropical, mid-latitude, and arctic sites. Although MILO generally adds more moisture to the original radiosonde profile in the upper troposphere compared to WANG, both corrections yield similar changes to the PWV, and the corrected data agree well with the ground-based retrievals. The two closure activities done for clear-sky scenes use the radiative transfer models MonoRTM and LBLRTM to compute radiance from the radiosonde profiles to compare against spectral observations. Both WANG- and MILO-corrected RH are statistically better than original RH in all cases except for the driest 30 % of cases in the downwelling experiment, where both algorithms add too much water vapor to the original profile. In the upwelling experiment, the RH correction applied by the WANG vs. MILO algorithm is statistically different above 10 km for the driest 30 % of cases and above 8 km for the moistest 30 % of cases, suggesting that the MILO correction performs better than the WANG in clear-sky scenes. The cause of this statistical significance is likely explained by the fact the WANG correction also accounts for cloud cover a condition not accounted for in the radiance closure experiments.less

  17. ARM - Field Campaign - Cirrus Clouds and Aerosol Properties Campaign

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

    govCampaignsCirrus Clouds and Aerosol Properties Campaign ARM Data Discovery Browse Data Related Campaigns Vaisala Laser Ceilometer CL51 Demonstration 2013.11.14, Winston, SGP...

  18. ARM - Instrument - ceil

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

    govInstrumentsceil Documentation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Ceilometer (CEIL) Instrument Categories Atmospheric Profiling, Cloud Properties Picture of the Vaisala Ceilometer (Model CL31) General Overview The ceilometer (CEIL) is a self-contained, ground-based, active, remote-sensing device designed to measure cloud-base height, vertical visibility, and potential backscatter signals

  19. ARM - Instrument - blc

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

    govInstrumentsblc Documentation BLC : Handbook ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : Belfort Laser Ceilometer (BLC) Note: blc is currently inactive and/or retired. Active Dates 1994.08.11 - 2000.05.23 Instrument Categories Cloud Properties General Overview NOTE: THIS INSTRUMENT WAS REPLACED BY A VAISALA 25K CEILOMETER IN THE SUMMER OF 2000. The Belfort laser ceilometer (BLC) Model 7013C field

  20. ARM - VAP Product - arscl1cloth

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

    Productsarsclarscl1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027282 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Example arscl1cloth Data Plot Example arscl1cloth data plot VAP Output : ARSCL1CLOTH ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates

  1. ARM - VAP Product - arsclbnd1cloth

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

    Productsarsclarsclbnd1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027283 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARSCLBND1CLOTH ARSCL: cloud boundaries from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates 1996.11.08 - 2011.03.23 Originating VAP Process Active

  2. ARM - VAP Product - arsclcbh1cloth

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

    Productsarsclarsclcbh1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.5439/1027284 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ARSCLCBH1CLOTH ARSCL: cloud base height from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR Active Dates 1996.11.08 - 2011.03.23 Originating VAP Process Active

  3. MHK ISDB/Instruments/Vaisala WINDCAP Ultrasonic Wind Sensor WMT700...

    Open Energy Info (EERE)

    Velocity Planar Measurement (Current), 3D Velocity Volumetric Measurement (Current), Density (Ice), Direction (Ice), Speed (Ice), Thickness (Ice), Pressure (Tidal), Sea Surface...

  4. Revised for pdf of instruments 8.5x11 (2)

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

    RWP KAWSACR KAZR MPL MWRHF SASHE AERI SWS CSPHOT VCEIL MWR3C MWR TSI RSS PWD 10IRT 10MFR SWATS EBBR ORG DISDROMETER VDIS WBRG SUOMINET BRS-BSRN NIMFR MFRN1 SIRS MFR USDA ARRAY...

  5. ARM - Facility News Article

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

    News New Ceilometer Evaluated at Southern Great Plains Site Bookmark and Share Dan Nelson, SGP facilities manager, inspects the new ceilometer during its evaluation period on...

  6. PowerPoint Presentation

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

    www.cloud-net.org Products Level 1b * Minimum instrument requirements at each site - Doppler cloud radar (35 or 94 GHz) - Cloud lidar or laser ceilometer - Microwave...

  7. Overview

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

    * Balloon-Borne Sounding System, radiosondes launched each day at regular intervals * Doppler Lidar, Micropulse Lidar, and Laser Ceilometer for aerosols and clouds * Microwave...

  8. PowerPoint Presentation

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

    description in GCM METHOD: GCM grid over SIRTA DATASET : Ground base Radiative Fluxes Ground base Temperature Ground base Humidity Lidar: Boundary Layer Height Ceilometer :...

  9. Posters Climate Zones for Maritime Clouds A. B. White and D....

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

    power (15-m resolution) is analyzed to detect cloud layers using a specified cloud detection limit. In addition to measurements of cloud base, the ceilometer can also provide...

  10. Research Highlight

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

    10.10022014JD023022. Figure 1. Two distinguished CBHs are defined by both ceilometer (black dots) and MPL (pink dots) measurements. Previous studies reveal the unique structure...

  11. Characterizing Arctic Mixed-phase Cloud Structure

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

    have two distinguished cloud base heights (CBHs) that can be defined by both ceilometer (black dots) and micropulse lidar (MPL; pink dots) measurements (Figure 1). For a...

  12. marchand-99.PDF

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

    data from the Belfort ceilometer and micropulse lidar to determine cloud occurrence and location. This time series can be analyzed to get monthly and seasonal values of cloud...

  13. ARM - Publications: Science Team Meeting Documents

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

    properties using the ground- based measurements of cloud radar, laser ceilometer, and microwave and solar radiometers. A relationship between effective radius and radar...

  14. ARM - Publications: Science Team Meeting Documents

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

    model in conjunction with ground-based measurements of cloud radar, laser ceilometer, microwave and solar radiometers. The satellite results are retrieved from GOES visible and...

  15. Lidar Inter-Comparison Exercise Final Campaign Report

    SciTech Connect (OSTI)

    Protat, Alain; Young, S.

    2015-02-01

    The objective of this IOP was to evaluate the performances of the new Leosphere R-MAN 510 lidar procured by the Australian Bureau of Meteorology, by testing it against the MPL and Raman lidars at the Darwin ARM site. This lidar is an eye-safe (355 nm), turn-key mini Raman lidar, which allows for the detection of aerosols and cloud properties, and the retrieval of particulate extinction profiles. To do so, the R-MAN 510 lidar has been operated at the Darwin ARM site, next to the MPL, Raman lidar, and Vaisala ceilometer for three months (from 20 January 2013 to 20 April 2013) in order to collect a good sample for statistical comparisons. The comparisons with the Raman lidar were not performed, since the Raman lidar attenuated backscatter and depolarization ratio product was not available. A new product has just been delivered to the ARM archive as a value-added product, hence this study will continue. Nevertheless we have developed software to match the different space and time resolutions of the other lidars and project the data onto a common grid to permit detailed comparison of the instruments’ performance and an enhanced analysis of clouds and aerosols through the use of composite data products, like the ratios of attenuated backscatters, attenuated scattering ratios and depolarization ratios. Comparisons between the MPL and R-MAN510 lidar data exhibit large differences in total attenuated backscatter at 355 and 532 nm, attenuated scattering ratios, and aerosol volume depolarization ratios. Differences in attenuated backscatter result mainly from the different relative contributions of scattering from molecules and particles at the different wavelengths, but there are some intriguing differences that will require further investigations. The differences in volume depolarization ratios are due to the much larger contribution of molecular returns to the volume depolarization ratio (5 times larger at 355 nm than at 532 nm). The R-MAN510 lidar is also found to be much less sensitive to daylight solar background illumination, which is greater at the visible wavelength than in the UV.

  16. lesht-99.PDF

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

    indicates that the problem is rather a result of contamination of the humidity sensor during storage. This possibility was originally discounted because Vaisala has long...

  17. Research Highlight

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

    of radiosondes launched during the 2004 NSA Arctic Winter Radiometric Experiment. Dual-radiosonde launch of the Vaisala RS90 and Chilled Mirror radiosondes is pictured here....

  18. ARM - Feature Stories and Releases Article

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

    May 6, 2010 [Facility News, Feature Stories and Releases] Ceilometer Represents First Deployment of New Ground-based Instruments from Recovery Act Bookmark and Share After a 3-day period of side-by-side operations and acceptance testing, the new CL31 ceilometer (foreground) officially replaced the older CT25K model on April 16, 2010 at the SGP site. After a 3-day period of side-by-side operations and acceptance testing, the new CL31 ceilometer (foreground) officially replaced the older CT25K

  19. ARM - Article

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

    6, 2010 [Facility News, Feature Stories and Releases] Ceilometer Represents First Deployment of New Ground-based Instruments from Recovery Act Bookmark and Share After a 3-day period of side-by-side operations and acceptance testing, the new CL31 ceilometer (foreground) officially replaced the older CT25K model on April 16, 2010 at the SGP site. After a 3-day period of side-by-side operations and acceptance testing, the new CL31 ceilometer (foreground) officially replaced the older CT25K model

  20. ARM TR-008

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

    0 Belfort Laser Ceilometer (BLC) Handbook January 2005 C. Flynn Work supported by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research January 2005, ARM TR-040 Contents 1. General Overview ............................................................................................................................... 1 2.

  1. Section 74

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

    The Belfort Laser Ceilometer (BLC) is also an eye-safe instrument. It is a laser-based system, where the signal is averaged to produce a sample every 30 seconds. The vertical...

  2. ARM - Campaign Instrument - ceil-umiami

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

    would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign Instrument : Ceilometer(University of Miami) (CEIL-UMIAMI) Instrument Categories...

  3. ARM - Datastreams - ceil

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

    Datastreamsceil Documentation Data Quality Plots Citation DOI: 10.5439/1181954 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CEIL Ceilometer (CEIL): cloud-base heights Active Dates 1996.10.11 - 2016.03.10 Measurement Categories Aerosols, Cloud Properties Originating Instrument Ceilometer (CEIL) Measurements Only measurements considered scientifically relevant are

  4. ARM - Datastreams - ceilpblht

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

    Datastreamsceilpblht Documentation Data Quality Plots Citation DOI: 10.5439/1095593 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : CEILPBLHT Ceilometer (CEIL): planetary boundary-layer heights Active Dates 2011.06.09 - 2016.03.10 Measurement Categories Atmospheric State Originating Instrument Ceilometer (CEIL) Measurements Only measurements considered scientifically

  5. A New Microwave Temperature Profiler … First Measurements in...

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

    Institute of Atmospheric Physics CNR, Italy Introduction Temperature inversions are a ... the Figure 4. MTP-5P have been tested in Italy by Rome IFA-CNR and compared with Vaisala ...

  6. ARM - Field Campaign - ARM-FIRE Water Vapor Experiment

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

    were the airborne NASA LaRC LASE water vapor lidar and Diode Laser Hygrometer (DLH), the ground-based Vaisala RS-80H (after application of corrections for time-lag, temperature...

  7. Research Highlights Sorted by Submitter

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

    from Vaisala Radiosonde Humidity Sensors ARM Cole, J. N. Small Processes Make A Big Difference in Model Outcomes ARM To Be or Not To Be Liquid? The Challenge of Arctic Mixed-Phase...

  8. Property:CommProtocol | Open Energy Information

    Open Energy Info (EERE)

    Doppler Volume Sampler + RS-232 + MHK ISDBInstrumentsVaisala WINDCAP Ultrasonic Wind Sensor WMT700 + RS-232 + MHK ISDBInstrumentsVector V102 GPS Compass + RS-232 + MHK ISDB...

  9. ARM - Field Campaign - Supplemental Sondes

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

    before week 34 of 1998 will show this bias. After week 34 of 1998 Vaisala changed its packaging to reduce, but not eliminate the contamination problem. Further changes in packaging...

  10. miller-er-99.PDF

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

    Correction for Dry Bias in Vaisala Radiosonde RH Data E. R. Miller, J. Wang, and H. L. Cole National Center for Atmospheric Research Atmospheric Technology Division Boulder, Colorado Abstract Extensive data analysis of sounding data from the Tropical Ocean Global Atmosphere-Coupled Ocean Atmosphere Response Experiment (TOGA-COARE) and other research projects coupled with supporting evidence from other sources have lead to the conclusion that there is a dry bias in Vaisala radiosonde relative

  11. Radiosondes Corrected for Inaccuracy in RH Measurements

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

    Miloshevich, Larry

    2008-01-15

    Corrections for inaccuracy in Vaisala radiosonde RH measurements have been applied to ARM SGP radiosonde soundings. The magnitude of the corrections can vary considerably between soundings. The radiosonde measurement accuracy, and therefore the correction magnitude, is a function of atmospheric conditions, mainly T, RH, and dRH/dt (humidity gradient). The corrections are also very sensitive to the RH sensor type, and there are 3 Vaisala sensor types represented in this dataset (RS80-H, RS90, and RS92). Depending on the sensor type and the radiosonde production date, one or more of the following three corrections were applied to the RH data: Temperature-Dependence correction (TD), Contamination-Dry Bias correction (C), Time Lag correction (TL). The estimated absolute accuracy of NIGHTTIME corrected and uncorrected Vaisala RH measurements, as determined by comparison to simultaneous reference-quality measurements from Holger Voemel's (CU/CIRES) cryogenic frostpoint hygrometer (CFH), is given by Miloshevich et al. (2006).

  12. ARM - Datastreams - blcprof

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

    Datastreamsblcprof Documentation Data Quality Plots Citation DOI: 10.5439/1025159 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : BLCPROF Belfort Laser Ceilometer (BLC): profiles Active Dates 1996.11.0

  13. Section 18

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    Analysis of the Temperature Dependence of Low Cloud Optical Thickness Using ARM Data and the GISS GCM A. D. Del Genio NASA/Goddard Institute for Space Studies New York, New York A. B. Wolf Science Systems and Applications, Inc. New York, New York G. Tselioudis Columbia University New York, New York One of the larger uncertainties in global climate model C The Belfort Laser Ceilometer (BLC) measures cloud base estimates of sensitivity to external perturbations is the height projected climate

  14. ARM - Data Announcements Article

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

    6, 2015 [Data Announcements] New and Improved Ceilometer Datastream Available Bookmark and Share First cloud base height data are shown above at the various heights at which cloud base height is detected. Using quality control variables, missing data are shown in red for all of 2010. First cloud base height data are shown above at the various heights at which cloud base height is detected. Using quality control variables, missing data are shown in red for all of 2010. Recently, the datastream

  15. PowerPoint Presentation

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

    Height (km) Reflectivity Best Estimate Clutter Flag Hour (UTC) ARSCL MMCR Reflectivity The ARSCL Suite of VAPs Karen Johnson 1 , Pavlos Kollias 1 , Ed Luke 1 , Eugene Clothiaux 2 , Mike Jensen 1 , Mark Miller 1 1 Brookhaven National Laboratory 2 Pennsylvania State University What is ARSCL? Active Remote Sensing of CLouds The ARSCL Value-Added Product combines * MMCR moments * Lidar * Ceilometer * Surface measurements to determine cloud locations and properties. Available at all fixed sites.

  16. ARM - Facility News Article

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

    10, 2010 [Facility News] Supporting Science at Summit Station, Greenland Bookmark and Share This month, an ARM micropulse lidar and ceilometer began collecting data from Summit Station in Greenland as part of the ICECAPS field campaign that runs through October 2014. Scientist Matthew Shupe joined colleagues on location to install the ICECAPS mobile laboratory, documenting their progress through his field blog. Great job, Matt! Visit the campaign website for more information

  17. ARM - Publications: Science Team Meeting Documents

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

    Comparisons of Measurements of Cloud Lower Boundaries by the MPL, BLC, MMCR, BBSS and AERI Han, D., and Ellingson, R.G., University of Maryland Eighth Atmospheric Radiation Measurement (ARM) Science Team Meeting The cloud lower boundary is an important factor in radiative transfer under various cloud conditions. Several ground-based instruments at the ARM CART Central Facility, including the micro pulse lidar (MPL), the Belfort laser ceilometer (BLC), and the MilliMeter Cloud profiling Radar

  18. ARM - Datastreams - blc

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

    Datastreamsblc Documentation Data Quality Plots Citation DOI: 10.5439/1025158 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : BLC Belfort Laser Ceilometer (BLC): 30-s avgs of cloud base heights at up to 3 levels Active Dates 1994.08.1

  19. Microsoft PowerPoint - ARMST2009.shupeposter.ppt [Compatibility Mode]

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

    Spring and Fall Arctic Mixed-Phase Clouds: Perspectives from the surface during ISDAC and MPACE Matthew Shupe a , David Turner b , Ed Eloranta b , Pavlos Kollias c p a CIRES - University of Colorado and NOAA/ESRL, b University of Wisconsin- Madison, c McGill University Summary Cloud Boundaries -Cloud top identified using radar, cloud base identified using high spectral resolution lidar or ceilometer. Phase Classification Uses phase specific signatures from radar lidar microwave radiometer and

  20. Research Highlight

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

    Improved Daytime Precipitable Water Vapor from Vaisala Radiosonde Humidity Sensors Download a printable PDF Submitter: Cady-Pereira, K. E., Atmospheric and Environmental Research, Inc. Mlawer, E. J., Atmospheric & Environmental Research, Inc. Turner, D. D., National Oceanic and Atmospheric Administration Shephard, M. W., Atmospheric and Environmental Research, Inc. Clough, S. A., Atmospheric and Environmental Research, Inc. Area of Research: Atmospheric Thermodynamics and Vertical Structures

  1. ARM - Datastreams - sondewnpr

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

    Datastreamssondewnpr Documentation XDC documentation Data Quality Plots Citation DOI: 10.5439/1150269 [ What is this? ] Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONDEWNPR Balloon-borne sounding system (BBSS): Vaisala winds, research press., temp, &RH Active Dates 1997.09.18 - 1997.09.26 Measurement Categories Atmospheric State Originating Instrument Balloon-Borne Sounding

  2. ARM - Datastreams - sonicwind2d

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

    Datastreamssonicwind2d Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Datastream : SONICWIND2D Horizontal wind speed and direction from ultrasonic wind sensor (Vaisala WS425), 2m above ground on Barrow MET tower Active Dates 2003.10.31 - 2008.09.16 Measurement Categories Atmospheric State Originating Instrument ultrasonic wind sensor (SONICWIND) Measurements Only measurements

  3. ARM - Instrument - sonicwind

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

    govInstrumentssonicwind Documentation ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Instrument : ultrasonic wind sensor (SONICWIND) Instrument Categories Surface Meteorology Output Datastreams sonicwind2d : Horizontal wind speed and direction from ultrasonic wind sensor (Vaisala WS425), 2m above ground on Barrow MET tower Primary Measurements The following measurements are those considered scientifically relevant.

  4. ARM - PI Product - Radiosondes Corrected for Inaccuracy in RH Measurements

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

    ProductsRadiosondes Corrected for Inaccuracy in RH Measurements ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Radiosondes Corrected for Inaccuracy in RH Measurements Corrections for inaccuracy in Vaisala radiosonde RH measurements have been applied to ARM SGP radiosonde soundings. The magnitude of the corrections can vary considerably between soundings. The radiosonde measurement accuracy, and

  5. 1

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

    a Science ACROSS 3 Meteorology is the name for the scientific study of ____. 5 The ____ point of water is 100°C and 212°F. 7 A ceilometer is a tool used to measure cloud ____. 8 Scientists gather information, also called ___, to study and make predictions or get ideas. 10 ____ are formed when water vapor condenses in the air. 11 The ____ point of water is 0°C and 32°F. 13 Humidity is the amount of moisture present in the air in the form of invisible ____ vapor. 14 Temperature is typically

  6. ARM - VAP Process - wacrarscl

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

    Productswacrarscl Documentation & Plots Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP : W-band Cloud Radar Active Remote Sensing of Cloud (WACRARSCL) Instrument Categories Cloud Properties Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar, and ceilometer have been combined using the new WACR Active Remote Sensing of Clouds (WACR-ARSCL)

  7. ARM - Evaluation Product - WACR-ARSCL VAP

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

    ProductsWACR-ARSCL VAP ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : WACR-ARSCL VAP Observations from the 95 GHz W-band ARM Cloud Radar (WACR), Micropulse Lidar (MPL), and ceilometer have been combined using the new WACR Active Remote Sensing of Clouds (WACR-ARSCL) VAP (Kollias and Miller, 2007) to

  8. July08.pdf

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

    8 ANL/EVS/NL-08-07 Technical Contact: Brad W. Orr Phone: 630-252-8665 Email: brad.orr@anl.gov Editor: Donna J. Holdridge Contributor: Lynne Roeder Website: http://www.arm.gov ACRF Southern Great Plains Newsletter is published by Argonne National Laboratory, managed by UChicago Argonne, LLC, for the U.S. Department of Energy under contract number DE-AC02-06CH11357. New Ceilometer Evaluated at Southern Great Plains Site To analyze cloud properties, ARM scientists use data from an instrument called

  9. X-band Scanning ARM Precipitation Radar (X-SAPR) Instrument Handbook

    SciTech Connect (OSTI)

    Widener, K; Bharadwaj, N

    2012-10-29

    The X-band scanning ARM cloud radar (X-SAPR) is a full-hemispherical scanning polarimetric Doppler radar transmitting simultaneously in both H and V polarizations. With a 200 kW magnetron transmitter, this puts 100 kW of transmitted power for each polarization. The receiver for the X-SAPR is a Vaisala Sigmet RVP-900 operating in a coherent-on-receive mode. Three X-SAPRs are deployed around the Southern Great Plains (SGP) Central Facility in a triangular array. A fourth X-SAPR is deployed near Barrow, Alaska on top of the Barrow Arctic Research Center.

  10. Energy Department Announces $2.5 Million to Improve Wind Forecasting |

    Office of Environmental Management (EM)

    Department of Energy .5 Million to Improve Wind Forecasting Energy Department Announces $2.5 Million to Improve Wind Forecasting January 8, 2015 - 12:00pm Addthis The Energy Department today announced $2.5 million for a new project to research the atmospheric processes that generate wind in mountain-valley regions. This in-depth research, conducted by Vaisala of Louisville, Colorado, will be used to improve the wind industry's weather models for short-term wind forecasts, especially for

  11. SOAR Data: Data from Shipboard Oceanographic and Atmospheric Radiation (SOAR)1999 through 2001

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

    Click on the DATA menu button and then click on a specific ship to find instructions on accessing data from that particular cruise. Instructions will lead you to an FTP site from which data can be downloaded. SOAR data for 1999 through 2001 is reported. SOAR is a global network of research and volunteer ships that carry global change instrumentation. The primary emphasis for SOAR is solar and IR radiation but some ships cary ceilometers, meteorological instruments, and related equipment. All data are collected in a central data collection computer and the flexible data collection software can be adapted to any other user instrumentation. Currently SOAR is installed pas permanent instrumentation on four ships operating in the western Pacific, eastern tropical Pacific, West Indies, and an oceanographic ship that operates around the world. In addition, six other system are used on cruises of opportunity. [Taken from SOAR homepage at http://www.gim.bnl.gov/soar/index.html

  12. A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Ahn, M. H.; Han, D.; Won, H. Y.; Morris, Victor R.

    2015-02-03

    For better utilization of the ground-based microwave radiometer, it is important to detect the cloud presence in the measured data. Here, we introduce a simple and fast cloud detection algorithm by using the optical characteristics of the clouds in the infrared atmospheric window region. The new algorithm utilizes the brightness temperature (Tb) measured by an infrared radiometer installed on top of a microwave radiometer. The two-step algorithm consists of a spectral test followed by a temporal test. The measured Tb is first compared with a predicted clear-sky Tb obtained by an empirical formula as a function of surface air temperaturemore » and water vapor pressure. For the temporal test, the temporal variability of the measured Tb during one minute compares with a dynamic threshold value, representing the variability of clear-sky conditions. It is designated as cloud-free data only when both the spectral and temporal tests confirm cloud-free data. Overall, most of the thick and uniform clouds are successfully detected by the spectral test, while the broken and fast-varying clouds are detected by the temporal test. The algorithm is validated by comparison with the collocated ceilometer data for six months, from January to June 2013. The overall proportion of correctness is about 88.3% and the probability of detection is 90.8%, which are comparable with or better than those of previous similar approaches. Two thirds of discrepancies occur when the new algorithm detects clouds while the ceilometer does not, resulting in different values of the probability of detection with different cloud-base altitude, 93.8, 90.3, and 82.8% for low, mid, and high clouds, respectively. Finally, due to the characteristics of the spectral range, the new algorithm is found to be insensitive to the presence of inversion layers.« less

  13. A cloud detection algorithm using the downwelling infrared radiance measured by an infrared pyrometer of the ground-based microwave radiometer

    SciTech Connect (OSTI)

    Ahn, M. H.; Han, D.; Won, H. Y.; Morris, Victor R.

    2015-02-03

    For better utilization of the ground-based microwave radiometer, it is important to detect the cloud presence in the measured data. Here, we introduce a simple and fast cloud detection algorithm by using the optical characteristics of the clouds in the infrared atmospheric window region. The new algorithm utilizes the brightness temperature (Tb) measured by an infrared radiometer installed on top of a microwave radiometer. The two-step algorithm consists of a spectral test followed by a temporal test. The measured Tb is first compared with a predicted clear-sky Tb obtained by an empirical formula as a function of surface air temperature and water vapor pressure. For the temporal test, the temporal variability of the measured Tb during one minute compares with a dynamic threshold value, representing the variability of clear-sky conditions. It is designated as cloud-free data only when both the spectral and temporal tests confirm cloud-free data. Overall, most of the thick and uniform clouds are successfully detected by the spectral test, while the broken and fast-varying clouds are detected by the temporal test. The algorithm is validated by comparison with the collocated ceilometer data for six months, from January to June 2013. The overall proportion of correctness is about 88.3% and the probability of detection is 90.8%, which are comparable with or better than those of previous similar approaches. Two thirds of discrepancies occur when the new algorithm detects clouds while the ceilometer does not, resulting in different values of the probability of detection with different cloud-base altitude, 93.8, 90.3, and 82.8% for low, mid, and high clouds, respectively. Finally, due to the characteristics of the spectral range, the new algorithm is found to be insensitive to the presence of inversion layers.

  14. Atmospheric sensing for the H.E.S.S. array

    SciTech Connect (OSTI)

    Aye, K.-M.; Brown, A.M.; Chadwick, P.M.; Hadjichristidis, C.; Latham, I.J.; Le Gallou, R.; McComb, T.J.L.; Nolan, S.J.; Noutsos, A.; Orford, K.J.; Osborne, J.L.; Rayner, S.M.

    2005-02-21

    Several atmospheric monitoring instruments have been installed at the H.E.S.S. gamma-ray observatory in Namibia. Firstly, Heitronics KT19 infrared radiometers, aligned paraxially with the H.E.S.S. telescopes, measure the infrared radiation of the water molecules. These allow us to detect clouds crossing the telescopes' field of view and to estimate the humidity present in the atmosphere. For a general estimate of the atmosphere's transmittance, i.e. the detection of any light-attenuating aerosols, a ceilometer, which is a LIDAR with built-in atmospheric data reduction code, is being used. It will be complemented soon by an instrument which will measure the transmissivity of the atmosphere at different wavelengths up to 500m above the ground. The overall status of the weather is monitored by a fully automated weatherstation. This paper describes the setup, the data analysis and how this will be used in order to improve the knowledge of the telescopes' effective collection area.

  15. Spatial Variability of Surface Irradiance Measurements at the Manus ARM Site

    SciTech Connect (OSTI)

    Riihimaki, Laura D.; Long, Charles N.

    2014-05-16

    The location of the Atmospheric Radiation Measurement (ARM) site on Manus island in Papua New Guinea was chosen because it is very close the coast, in a geographically at, near-sea level area of the island, minimizing the impact of local island effects on the meteorology of the measurements [Ackerman et al., 1999]. In this study, we confirm that the Manus site is in deed less impacted by the island meteorology than slightly inland by comparing over a year of broadband surface irradiance and ceilometer measurements and derived quantities at the standard Manus site and a second location 7 km away as part of the AMIE-Manus campaign. The two sites show statistically similar distributions of irradiance and other derived quantities for all wind directions except easterly winds, when the inland site is down wind from the standard Manus site. Under easterly wind conditions, which occur 17% of the time, there is a higher occurrence of cloudiness at the down wind site likely do to land heating and orographic effects. This increased cloudiness is caused by shallow, broken clouds often with bases around 700 m in altitude. While the central Manus site consistently measures a frequency of occurrence of low clouds (cloud base height less than 1200 m) about 25+4% regardless of wind direction, the AMIE site has higher frequencies of low clouds (38%) when winds are from the east. This increase in low, locally produced clouds causes an additional -20 W/m2 shortwave surface cloud radiative effect at the AMIE site in easterly conditions than in other meteorological conditions that exhibit better agreement between the two sites.

  16. AMIE (ARM MJO Investigation Experiment): Observations of the Madden-Julian Oscillation for Modeling Studies Science Plan

    SciTech Connect (OSTI)

    Long, C; Del Genio, A; Gustafson, W; Houze, R; Jakob, C; Jensen, M; Klein, S; Leung, L Ruby; Liu, X; Luke, E; May, P; McFarlane, S; Minnis, P; Schumacher, C; Vogelmann, A; Wang, Y; Wu, X; Xie, S

    2010-03-22

    Deep convection in the tropics plays an important role in driving global circulations and the transport of energy from the tropics to the mid-latitudes. Understanding the mechanisms that control tropical convection is a key to improving climate modeling simulations of the global energy balance. One of the dominant sources of tropical convective variability is the Madden-Julian Oscillation (MJO), which has a period of approximately 3060 days. There is no agreed-upon explanation for the underlying physics that maintain the MJO. Many climate models do not show well-defined MJO signals, and those that do have problems accurately simulating the amplitude, propagation speed, and/or seasonality of the MJO signal. Therefore, the MJO is a very important modeling target for the ARM modeling community geared specifically toward improving climate models. The ARM MJO Investigation Experiment (AMIE) period coincides with a large international MJO initiation field campaign called CINDY2011 (Cooperative Indian Ocean experiment on intraseasonal variability in the Year 2011) that will take place in and around the Indian Ocean from October 2011 to January 2012. AMIE, in conjunction with CINDY2011 efforts, will provide an unprecedented data set that will allow investigation of the evolution of convection within the framework of the MJO. AMIE observations will also complement the long-term MJO statistics produced using ARM Manus data and will allow testing of several of the current hypotheses related to the MJO phenomenon. Taking advantage of the expected deployment of a C-POL scanning precipitation radar and an ECOR surface flux tower at the ARM Manus site, we propose to increase the number of sonde launches to eight per day starting in about mid-October of the field experiment year, which is climatologically a period of generally suppressed conditions at Manus and just prior to the climatologically strongest MJO period. The field experiment will last until the end of the MJO season (typically March), affording the documentation of conditions before, during, and after the peak MJO season. The increased frequency of sonde launches throughout the experimental period will provide better diurnal understanding of the thermodynamic profiles, and thus a better representation within the variational analysis data set. Finally, a small surface radiation and ceilometer system will be deployed at the PNG Lombrum Naval Base about 6 km away from the ARM Manus site in order to provide some documentation of scale variability with respect to the representativeness of the ARM measurements.