National Library of Energy BETA

Sample records for meteorology browse plots

  1. ARM - SPARTICUS Planning - Data Plots

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

    Measurements SGP Data Plots NASA Data Plots ARM Data Discovery Browse Data Experiment Planning SPARTICUS Proposal Abstract Science Questions Science and Operations (PDF, 1.01M)...

  2. ARM - Field Campaign - ARM West Antarctic Radiation Experiment...

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

    ... Cloud Radar Browse Data KAZR Ka ARM Zenith Radar Browse Data LDIS Laser Disdrometer Browse Data MET Surface Meteorological Instrumentation Browse Data Browse Plots MFR ...

  3. ISDAC Data Plots

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

    govField CampaignsIndirect and Semi-Direct Aerosol Campaign (ISDAC)Data Plots Related Links ISDAC Home AAF Home AVP Aircraft Instrumentation, October 14-16, 2008 ARM Data Discovery Browse Data Post-Campaign Data Sets Flight Summary Table (PDF, 440K) ISDAC Wiki Mission Summary Journal Deployment Resources NSA Site ARM Data Plots Quick Links Experiment Planning ISDAC Proposal Abstract Full Proposal (pdf, 1,735K) Science Questions Science Overview Document for ISDAC (pdf, 525K) ISDAC Flight

  4. ARM - Site Instruments

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

    Browse Plots Browse Data Single installation IRT Infrared Thermometer Radiometric Browse Plots Browse Data Single installation LDIS Laser Disdrometer Surface Meteorology ...

  5. ARM - Site Instruments

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

    Disdrometer Surface Meteorology Browse Plots Browse Data Single installation DL Doppler Lidar Cloud Properties Browse Plots Browse Data Single installation IAP...

  6. ARM - Site Instruments

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

    Disdrometer Surface Meteorology Browse Plots Browse Data Single installation DL Doppler Lidar Cloud Properties Browse Plots Browse Data Installed at 2 facilities EBBR...

  7. Browse A to Z | Department of Energy

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

    A to Z Browse A to Z Browse OLWD services alphabetically Learning & Workforce Development Browse A to Z

  8. ARM - Site Instruments

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

    Disdrometer Surface Meteorology Browse Plots Browse Data Single installation DL Doppler Lidar Cloud Properties Browse Data Single installation GNDRAD Ground...

  9. ARM - Site Instruments

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

    Browse Plots Browse Data Single installation KAZR Ka ARM Zenith Radar Cloud Properties Browse Data Single installation LDIS Laser Disdrometer Surface Meteorology Browse ...

  10. Browse by Role | Department of Energy

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

    by Role Browse by Role OLWD_CategoryIcon_Role_500x332.png Role Browse by Role

  11. ARM - Site Instruments

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

    Meteorology Not Online SONDE Balloon-Borne Sounding System Atmospheric Profiling Browse Plots Browse Data Single installation TSI Total Sky Imager Cloud Properties Browse Plots...

  12. ARM - MC3E Planning - Data Plots

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

    govField CampaignsMidlatitude Continental Convective Clouds Experiment (MC3E)Data Plots Related Links MC3E Home News News & Press MC3E Backgrounder (PDF, 1.61MB) SGP Images ARM flickr site Field Blog ARM Data Discovery Browse Data Deployment Operations Measurements Science Plan (PDF, 3.85 MB) Featured Data Plots SGP Data Plots (all) Experiment Planning Steering Committee Science Questions MC3E Proposal Abstract and Related Campaigns Meetings Cloud Life Cycle Working Group Contacts Michael

  13. ARM - PI Product - Finnish Meteorological Institute Doppler Lidar

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

    ProductsFinnish Meteorological Institute Doppler Lidar Citation DOI: 10.54391177194 What is this? ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  14. ARM - Site Instruments

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

    Disdrometer Surface Meteorology Browse Plots Browse Data Single installation DL Doppler Lidar Cloud Properties Browse Data Single installation ECOR Eddy Correlation...

  15. DOE Research and Development Accomplishments Database Browse

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

    Database Browse Sorted by: Most Recently Added Sort List By: -------------------- Most Recently Added Title Author Publication Date

  16. ARM - Data Plots

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

    Plots Data Plots ARM Program data is available in daily diagnostic plots that can be easily grouped into daily, weekly, monthly, and even yearly increments. By visualizing ARM data ...

  17. Combinatorial Geometry Printer Plotting.

    Energy Science and Technology Software Center (OSTI)

    1987-01-05

    Picture generates plots of two-dimensional slices through the three-dimensional geometry described by the combinatorial geometry (CG) package used in such codes as MORSE and QAD-CG. These plots are printed on a standard line printer.

  18. ARM - AMF Data Plots

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

    (PDF) Posters AMF Poster, French Version We're Going to Sample the Sky in Africa News Campaign Images AMMA International News AMF Data Plots ARM Mobile Facility data plot...

  19. PlotData

    Energy Science and Technology Software Center (OSTI)

    2001-01-12

    Plot Data collects and saves waveforms from specified digitizers, displays waveform data on the screen with hard copy option, and performs specific waveform data reduction types including but not limited to VISAR.

  20. Browse Designations - DOE Directives, Delegations, and Requirements

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

    Browse Designations Current By Functional Area By Position Designations Assignments Rescinded by Diane Johnson More filters Less filters Current search Δ Hide filters ∇ Show filters (0) [X] Remove all Issue Date Start date End date 4215e3a365085280c76e65d2bb255c3a

  1. ARM - AOS Aerosol Properties Plots

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

    XDC Data Viewers Aerosol Properties Plots SGP AMF NSA (BRW) AOS Aerosol Properties Plots ... are raw unedited data. Do not quote and cite. Aerosol Properties Plots SGP AMF NSA (BRW)

  2. Browse Success Stories - Energy Innovation Portal

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

    Stories » All Site Map Printable Version Share this resource About Search Categories (15) Advanced Materials Biomass and Biofuels Building Energy Efficiency Electricity Transmission Energy Analysis Energy Storage Geothermal Hydrogen and Fuel Cell Hydropower, Wave and Tidal Industrial Technologies Solar Photovoltaic Solar Thermal Startup America Vehicles and Fuels Wind Energy Partners (27) Visual Patent Search Success Stories Graphic of a full-grown tree with many leaves. Browse Success Stories

  3. Browsing a wealth of millimeter-wavelength doppler spectra data...

    Office of Scientific and Technical Information (OSTI)

    doppler spectra data Citation Details In-Document Search Title: Browsing a wealth of millimeter-wavelength doppler spectra data The ARM Climate Research Facility ...

  4. GnuForPlot Graphics

    SciTech Connect (OSTI)

    2015-11-04

    Gnuforplot Graphics is a Fortran90 program designed to generate two and three dimensional plots of data on a personal computer. The program uses calls to the open source code Gnuplot to generate the plots. Two Fortran90 programs have been written to use the Gnuplot graphics capabilities. The first program, named Plotsetup.f90 reads data from output files created by either the Stadium or LeachXS/Orchestra modeling codes and saves the data in arrays for plotting. This program then calls Gnuforplot which takes the data array along with user specified parameters to set plot specifications and issues Gnuplot commands that generate the screen plots. The user can view the plots and optionally save copies in jpeg format.

  5. ARM - AMIE Manus - Data Plots

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

    Manus Related Links amie.png 34h AMIE Home cindy.png 50h CINDY2011 dynamo.png 34h DYNAMO ARM Data Discovery Browse Data Outreach News & Press Blog Backgrounder (PDF, 1.2MB) Education Flyer (PDF, 2.0MB) Images ARM flickr site Official AMIE Logo AMIE Gear Experiment Planning Steering Committee AMIE-MANUS Proposal Abstract AMIE-GAN Proposal Abstract Meetings Cloud Life Cycle Working Group Deployment Operations Science Plan - TWP Manus Site (PDF, 2.1 MB) Science Plan - Gan Island Site (PDF, 2.0

  6. Meteorological Services Annual Data Report for 2014

    SciTech Connect (OSTI)

    Heiser J.; Smith, S.

    2015-01-21

    This document presents the meteorological data collected at Brookhaven National Laboratory (BNL) by Meteorological Services (Met Services) for the calendar year 2014. The purpose is to publicize the data sets available to emergency personnel, researchers and facility operations. Met services has been collecting data at BNL since 1949. Data from 1994 to the present is available in digital format. Data is presented in monthly plots of one-minute data. This allows the reader the ability to peruse the data for trends or anomalies that may be of interest to them. Full data sets are available to BNL personnel and to a limited degree outside researchers. The full data sets allow plotting the data on expanded time scales to obtain greater details (e.g., daily solar variability, inversions, etc.).

  7. Meteorological services annual data report for 2012

    SciTech Connect (OSTI)

    Heiser J.; Smith, S.

    2013-02-01

    This document presents the meteorological data collected at Brookhaven National Laboratory (BNL) by Meteorological Services (Met Services) for the calendar year 2012. The purpose is to publicize the data sets available to emergency personnel, researchers and facility operations. Met services has been collecting data at BNL since 1949. Data from 1994 to the present is available in digital format. Data is presented in monthly plots of one-minute data. This allows the reader the ability to peruse the data for trends or anomalies that may be of interest to them. Full data sets are available to BNL personnel and to a limited degree outside researchers. The full data sets allow plotting the data on expanded time scales to obtain greater details (e.g., daily solar variability, inversions, etc.).

  8. Numerical computation of Pop plot

    SciTech Connect (OSTI)

    Menikoff, Ralph

    2015-03-23

    The Pop plot — distance-of-run to detonation versus initial shock pressure — is a key characterization of shock initiation in a heterogeneous explosive. Reactive burn models for high explosives (HE) must reproduce the experimental Pop plot to have any chance of accurately predicting shock initiation phenomena. This report describes a methodology for automating the computation of a Pop plot for a specific explosive with a given HE model. Illustrative examples of the computation are shown for PBX 9502 with three burn models (SURF, WSD and Forest Fire) utilizing the xRage code, which is the Eulerian ASC hydrocode at LANL. Comparison of the numerical and experimental Pop plot can be the basis for a validation test or as an aid in calibrating the burn rate of an HE model. Issues with calibration are discussed.

  9. SUPERIMPOSED MESH PLOTTING IN MCNP

    SciTech Connect (OSTI)

    J. HENDRICKS

    2001-02-01

    The capability to plot superimposed meshes has been added to MCNP{trademark}. MCNP4C featured a superimposed mesh weight window generator which enabled users to set up geometries without having to subdivide geometric cells for variance reduction. The variance reduction was performed with weight windows on a rectangular or cylindrical mesh superimposed over the physical geometry. Experience with the new capability was favorable but also indicated that a number of enhancements would be very beneficial, particularly a means of visualizing the mesh and its values. The mathematics for plotting the mesh and its values is described here along with a description of other upgrades.

  10. Meteorological Towers Display for Windows NT

    Energy Science and Technology Software Center (OSTI)

    1999-05-20

    The Towers Display Program provides a convenient means of graphically depicting current wind speed and direction from a network of meteorological monitoring stations. The program was designed primarily for emergency response applications and, therefore, plots observed wind directions as a transport direction, i.e., the direction toward which the wind would transport a release of an atmospheric contaminant. Tabular summaries of wind speed and direction as well as temperature, relative humidity, and atmospheric turbulence measured atmore » each monitoring station can be displayed. The current implementation of the product at SRS displays data from eight Weather INformation and Display (WIND) System meteorological towers at SRS, meteorological stations established jointly by SRS/WSRC and the Augusta/Richmond County Emergency Management Agency in Augusta, GA, and National Weather Service stations in Augusta, GA. Wind speed and direction are plotted in a Beaufort scale format at the location of the station on a geographic map of the area. A GUI provides for easy specification of a desired date and time for the data to be displayed.« less

  11. Hanford Meteorological Station - Hanford Site

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

    Meteorological Station Hanford Meteorological Station Real Time Met Data from Around the ... The HMS provides a range of Hanford Site weather forecast products, real-time ...

  12. PlotWatt | Open Energy Information

    Open Energy Info (EERE)

    Tool Summary LAUNCH TOOL Name: PlotWatt AgencyCompany Organization: PlotWatt Sector: Energy Focus Area: Energy Efficiency Resource Type: Softwaremodeling tools User Interface:...

  13. Calculate and Plot Complex Potential

    Energy Science and Technology Software Center (OSTI)

    1998-05-05

    SOLUPLOT is a program designed to calculate and plot complex potential, pH diagrams and log oxygen activity, pH diagrams for aqueous chemical syatems, considering speciation of ligands, from free energy and thermodynamic activity data. These diagrams, commonly referred to as Eh-pH and ao2-pH diagrams, respectively, define areas of predominance in Eh-pH diagrams or ao2-pH space for chemical species of a chemical system at equilibrium. Over an area of predominance, one predominant species is at greatermore » activity than the other species of the system considered. The diagram axes, pH (a measure of hydrogen ion activity) and either Eh or log ao2 (measures of a tendency toward either oxidation or reduction) , are paremeters commonly applied in describing the chemistry of aqueous systems.« less

  14. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    Simon (Simon Allen) - School of GeoSciences, University of Edinburgh Allen, Stewart (Stewart Allen) - Centre for Australian Weather and Climate Research, Bureau of Meteorology ...

  15. Browse by Discipline -- E-print Network Subject Pathways: Geosciences...

    Office of Scientific and Technical Information (OSTI)

    ... Simon (Simon Allen) - School of GeoSciences, University of Edinburgh Allen, Stewart (Stewart Allen) - Centre for Australian Weather and Climate Research, Bureau of Meteorology ...

  16. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    Radar Research Center & School of Meteorology, University of Oklahoma Pan, Feifei (Feifei Pan) - Department of Geography, University of North Texas Pan, Laura (Laura Pan) - ...

  17. Browse Draft Directives - DOE Directives, Delegations, and Requirements

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

    Browse Draft Directives Current Draft Archives by Website Administrator More filters Less filters Directive Type Order Guide Manual Policy Notice Cancellation Notice HQ Order Sec of Energy Notice Justification Memorandum Certification Memo 0 Series Series All 0000 Subject Classification 100 Leadership/Management Planning 200 Information and Analysis 300 Human Resources 400 Work Processes 500 Business and Support Services 1100 Org. Authorities, Functions and Internal Relationships 1200 External

  18. Career Map: Meteorological Technician | Department of Energy

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

    Meteorological Technician Career Map: Meteorological Technician Two Meteorological Technicians work from a boat on the base of an offshore wind turbine. Meteorological Technician Position Title Meteorological Technician Alternate Title(s) Meteorological Instrumentation Technician, MET Services Technician, MET Tower Installation Technician, Field Technician Education & Training Level Entry-level, bachelor's degree generally not expected Education & Training Level Description Most

  19. ARM - Field Campaign - Observations and Modeling of the Green...

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

    Particle Counter Browse Data Browse Plots CSPHOT Cimel Sunphotometer Browse Data DL Doppler Lidar Browse Data ECOR Eddy Correlation Flux Measurement System Browse Data Browse...

  20. ARM - Instrument - met

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

    Browse Data Browse Plots Ashton, KS (Extended) SGP E11 Browse Data Browse Plots Byron, OK (Extended) SGP E13 Browse Data Browse Plots Lamont, OK (Extended) SGP E15 Browse Data...

  1. ARM - AMIE Gan Island - Data Plots

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

    Gan Related Links amie.png 34h AMIE Home cindy.png 50h CINDY2011 dynamo.png 34h DYNAMO ARM Data Discovery Browse Data Outreach News & Press Blog Backgrounder (PDF, 1.2MB) Education Flyer (PDF, 2.0MB) Images ARM flickr site Official AMIE Logo AMIE Gear Experiment Planning Steering Committee AMIE-MANUS Proposal Abstract AMIE-GAN Proposal Abstract Meetings Cloud Life Cycle Working Group Deployment Operations Science Plan - TWP Manus Site (PDF, 2.1 MB) Science Plan - Gan Island Site (PDF, 2.0

  2. Thermal battery statistics and plotting programs

    SciTech Connect (OSTI)

    Scharrer, G.L.

    1990-04-01

    Thermal battery functional test data are stored in an HP3000 minicomputer operated by the Power Sources Department. A program was written to read data from a battery data base, compute simple statistics (mean, minimum, maximum, standard deviation, and K-factor), print out the results, and store the data in a file for subsequent plotting. A separate program was written to plot the data. The programs were written in the Pascal programming language. 1 tab.

  3. Finnish Meteorological Institute Doppler Lidar (Dataset) | Data...

    Office of Scientific and Technical Information (OSTI)

    Finnish Meteorological Institute Doppler Lidar Title: Finnish Meteorological Institute Doppler Lidar This doppler lidar system provides co-polar and cross polar attenuated ...

  4. Solar Resource and Meteorological Assessment Project (SOLRMAP...

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

    Solar Resource and Meteorological Assessment Project (SOLRMAP) Solar and Meteorological Station Options: Configurations and Specifications July 1, 2009 (revised) Steve Wilcox and ...

  5. Surveillance of Site A and Plot M

    SciTech Connect (OSTI)

    Golchert, N.W.

    1991-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for CY 1990 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976-1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to determine the migration pathway of water from the burial ground (plot M) to the hand-pumped picnic wells, establish if buries radionuclides other than hydrogen-3 have migrated, and generally characterize the radiological environment of the area. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continues to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site or those living in the vicinity. 20 refs., 7 figs., 15 tabs.

  6. MultiFacet: A Faceted Interface for Browsing Large Multimedia Collections

    SciTech Connect (OSTI)

    Henry, Michael J.; Hampton, Shawn D.; Endert, Alexander; Roberts, Ian E.; Payne, Deborah A.

    2013-10-31

    Faceted browsing is a common technique for exploring collections where the data can be grouped into a number of pre-defined categories, most often generated from textual metadata. Historically, faceted browsing has been applied to a single data type such as text or image data. However, typical collections contain multiple data types, such as information from web pages that contain text, images, and video. Additionally, when browsing a collection of images and video, facets are often created based on the metadata which may be incomplete, inaccurate, or missing altogether instead of the actual visual content contained within those images and video. In this work we address these limitations by presenting MultiFacet, a faceted browsing interface that supports multiple data types. MultiFacet constructs facets for images and video in a collection from the visual content using computer vision techniques. These visual facets can then be browsed in conjunction with text facets within a single interface to reveal relationships and phenomena within multimedia collections. Additionally, we present a use case based on real-world data, demonstrating the utility of this approach towards browsing a large multimedia data collection.

  7. Surveillance of Site A and Plot M

    SciTech Connect (OSTI)

    Golchert, N.W.

    1993-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for CY 1992 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976--1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) determine the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  8. Reads and Plots PCM Data Files

    Energy Science and Technology Software Center (OSTI)

    1999-08-23

    WINPLOT21 reads and plots PCM (Pulse code modulated) data files. The data files must contain the PCM data formatted per IRIG 106 Telemetry standards. The contents of the data files are interpreted using information found in ancillary calibration file that can be created using a Calibration Wizard feature of this program. PCM data is read in and scaled to engineering units. First and second order equations are applied to the engineering units. The user hasmore » the option of plotting the raw PCM counts, engineering units, integrated engineering units, or second order integration of the engineering units. A Butterworth filter can be applied to the engineering units if the source of the data is not a PCM subcommed channel. Scroll bars allow for zooming in along both the x and y axis.« less

  9. ARM - Site Instruments

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

    Sounding System Atmospheric Profiling Browse Plots Browse Data Single installation TSI Total Sky Imager Cloud Properties Browse Plots Browse Data Single installation VDIS...

  10. ARM - Site Instruments

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

    Sounding System Atmospheric Profiling Browse Plots Browse Data Single installation TSI Total Sky Imager Cloud Properties Browse Plots Browse Data Single installation ...

  11. Rainfall Manipulation Plot Study (RaMPS)

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

    Blair, John [Kansas State University; Fay, Phillip [USDA-ARS; Knapp, Alan [Colorado State University; Collins, Scott [University of New Mexico; Smith, Melinda [Yale University

    Rainfall Manipulation Plots facility (RaMPs) is a unique experimental infrastructure that allows us to manipulate precipitation events and temperature, and assess population community, and ecosystem responses in native grassland. This facility allows us to manipulate the amount and timing of individual precipitation events in replicated field plots at the Konza Prairie Long-Term Ecological Research (LTER) site. Questions we are addressing include: • What is the relative importance of more extreme precipitation patterns (increased climatic variability) vs. increased temperatures (increased climatic mean) with regard to their impact on grassland ecosystem structure and function? Both projected climate change factors are predicted to decrease soil water availability, but the mechanisms by which this resource depletion occurs differ. • Will altered precipitation patterns, increased temperatures and their interaction increase opportunities for invasion by exotic species? • Will long-term (6-10 yr) trajectories of community and ecosystem change in response to more extreme precipitation patterns continue at the same rate as initial responses from years 1-6? Or will non-linear change occur as potential ecological thresholds are crossed? And will increased temperatures accelerate these responses? Data sets are available as ASCII files, in Excel spreadsheets, and in SAS format. (Taken from http://www.konza.ksu.edu/ramps/backgrnd.html

  12. ARM - VAP Product - qcrad1long

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

    retired Southern Great Plains SGP C1 Browse Data Browse Plots Central Facility, Lamont, OK SGP E1 Browse Data Browse Plots Larned, KS (Extended) retired SGP E2 Browse Data Browse...

  13. ARM - Datastreams - mpl

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

    Browse Plots Central Facility, Darwin, Australia retired ARM Mobile Facility NIM M1 Browse Data Browse Plots Niamey, Niger retired PYE M1 Browse Data Browse Plots Point Reyes, CA...

  14. PHENIX (Pioneering High Energy Nuclear Interaction eXperiment) Data Plots from the PHENIX Plot Database

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

    The PHENIX Experiment is the largest of the four experiments currently taking data at the Relativistic Heavy Ion Collider. PHENIX, the Pioneering High Energy Nuclear Interaction eXperiment, is an exploratory experiment for the investigation of high energy collisions of heavy ions and protons. PHENIX is designed specifically to measure direct probes of the collisions such as electrons, muons, and photons.The primary goal of PHENIX is to discover and study a new state of matter called the Quark-Gluon Plasma.[From http://www.phenix.bnl.gov/phenix/WWW/intro/] The PHENIX plot database allows searching by collision species, energies of the X and Y axis, and specific runs. Figures and data plots from published PHENIX papers are also available at http://www.phenix.bnl.gov//WWW/talk/pub_papers.php. (Specialized Interface)

  15. Atmospheric Radiation Measurement (ARM) Data Plots and Figures

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

    ARM Program data is available in daily diagnostic plots that can be easily grouped into daily, weekly, monthly, and even yearly increments. By visualizing ARM data in thumbnail-sized data plots, users experience highly-browsable subsets of data available at the Data Archive including complimentary data products derived from data processed by ARM. These thumbnails allow users to quickly scan for a particular type of condition, like a clear day or a day with persistent cirrus. From a diagnostics perspective, the data plots assist in looking for missing data, for data exceeding a particular range, or for loading multiple variables (e.g., shortwave fluxes and precipitation), and to determine whether a certain science or data quality condition is associated with some other parameter (e.g., high wind or rain).[taken from http://www.arm.gov/data/data_plots.stm] Several interfaces and tools have been developed to make data plots easy to generate and manipulate. For example, the NCVWeb is an interactive NetCDF data plotting tool that ARM users can use to plot data as they order it or to plot regular standing data orders. It allows production of detailed tables, extraction of data, statistics output, comparison plotting, etc. without the need for separate visualization software. Users will be requested to create a password, but the data plots are free for viewing and downloading.

  16. Wintertime meteorology of the Grand Canyon region

    SciTech Connect (OSTI)

    Whiteman, C.D.

    1992-09-01

    The Grand Canyon region of the American Southwest is an interesting region meteorologically, but because of its isolated location, the lack of major population centers in the region, and the high cost of meteorological field experiments, it has historically received little observational attention. In recent years, however, attention has been directed to episodes of visibility degradation in many of the US National parks, and two recent field studies focused on this visibility problem have greatly increased the meteorological data available for the Grand Canyon region. The most recent and comprehensive of these studies is the Navajo Generating Station Winter Visibility Study of 1989--90. This study investigated the sources of visibility degradation in Grand Canyon National Park and the meteorological mechanisms leading to low visibility episodes. In this paper we present analyses of this rich data set to gain a better understanding of the key wintertime meteorological features of the Grand Canyon region.

  17. Absorption Spectra and Plotting Exciton Wavefunctions BerkeleyGW...

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

    Hands on Session 5: Converging Absorption Spectra and Plotting Exciton Wavefunctions BerkeleyGW Workshop 11232013 Diana Qiu Converging Absorption General Parameters: K-grid...

  18. OPUS/PlotOPUS: An ORIGEN-S Post-Processing Utility and Plotting Program for SCALE

    SciTech Connect (OSTI)

    Gauld, I.C.

    2001-03-08

    The OPUS utility program produces an output file that can be used for making a variety of plots from output produced by the ORIGEN-S code that computes reactor fuel depletion, activation and fission- product buildup, and the corresponding photon and neutron source spectra. Tables containing individual and total nuclide or element concentrations, in 14 different units, may be generated as a function of time. Three classes of plot data may be produced by OPUS: (1) dominant or selected isotopes or elements, (2) photon and neutron source spectra, and (3) comparisons of selected quantities (totals or individual nuclides) between different ORIGEN-S cases. The input is designed for ease of use with self-explanatory parameter names, free-form input, and commonly used default values. The formatted output data produced by OPUS is designed to be used directly by the PlotOPUS graphics-plotting program. PlotOPUS is an interactive Visual Basic program designed for Windows 9x, 2000, and NT computers. PlotOPUS reads the formatted output data file produced by OPUS, plots the data, and will generate Windows metafile (WMF), JPEG bitmap (JPG), or Windows bitmap (BMP) files for saving the plot images. Even though it is designed to interface with PlotOPUS, the formatted OPUS output file can be easily read by other graphics packages for data visualization.

  19. Description of the RDCDS Meteorological Component

    SciTech Connect (OSTI)

    Pekour, Mikhail S.; Berg, Larry K.

    2007-10-01

    This report provides a detailed description of the Rapidly Deployable Chemical Defense System (RDCDS) Meteorological Component. The Meteorological Component includes four surface meteorological stations, miniSODAR, laptop computers, and communications equipment. This report describes the equipment that is used, explains the operation of the network, and gives instructions for setting up the Component and replacing defective parts. A detailed description of operation and use of the individual sensors, including the data loggers is not covered in the current document, and the interested reader should refer to the manufacturer’s documentation.

  20. Surface Meteorological Instruments for TWP (SMET) Handbook

    SciTech Connect (OSTI)

    Ritsche, MT

    2009-01-01

    The TWP Surface Meteorology station (SMET) uses mainly conventional in situ sensors to obtain 1-minute statistics of surface wind speed, wind direction, air temperature, relative humidity, barometric pressure and rainfall amount.

  1. Interim report on the meteorological database

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives.

  2. New Surface Meteorological Measurements at SGP,

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

    NM, March 22 - 26, 2004 1 New Surface Meteorological Measurements at SGP, and Their Use ... Work is in progress to combine the MWR-scaling and time-lag corrections into a new ARM ...

  3. Import Manipulate Plot RELAP5/MOD3 Data

    SciTech Connect (OSTI)

    Jones, K. R.

    1999-10-05

    XMGR5 was derived from an XY plotting tool called ACE/gr, which is copyrighted by Paul J. Turner and in the public domain. The interactive version of ACE/GR is xmgr, and includes a graphical interface to the X-windows system. Enhancements to xmgr have been developed which import, manipualate, and plot data from RELAP/MOD3, MELCOR, FRAPCON, and SINDA codes, and NRC databank files. capabilities, include two-phase property table lookup functions, an equation interpreter, arithmetic library functions, and units conversion. Plot titles, labels, legends, and narrative can be displayed using Latin or Cyrillic alphabets.

  4. Import Manipulate Plot RELAP5/MOD3 Data

    Energy Science and Technology Software Center (OSTI)

    1999-10-05

    XMGR5 was derived from an XY plotting tool called ACE/gr, which is copyrighted by Paul J. Turner and in the public domain. The interactive version of ACE/GR is xmgr, and includes a graphical interface to the X-windows system. Enhancements to xmgr have been developed which import, manipualate, and plot data from RELAP/MOD3, MELCOR, FRAPCON, and SINDA codes, and NRC databank files. capabilities, include two-phase property table lookup functions, an equation interpreter, arithmetic library functions, andmore » units conversion. Plot titles, labels, legends, and narrative can be displayed using Latin or Cyrillic alphabets.« less

  5. ARM - Instrument - maws

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

    govInstrumentsmaws 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 : Automatic Weather Station (MAWS) Instrument Categories Surface Meteorology Primary Measurements The following measurements are those considered scientifically relevant. Atmospheric moisture Atmospheric pressure Atmospheric temperature Horizontal wind Locations Southern Great Plains SGP C1 Browse Data Browse Plots Central

  6. ARM - Instrument - mpl

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

    Browse Plots Highland Center, Cape Cod MA; AMF1 PYE M1 Browse Data Browse Plots Point Reyes, CA retired SBS S1 Browse Data Steamboat Springs CO, Thunderhead Lodge TMP M1 Browse...

  7. Browse OSTIblog Articles by Related Topics | OSTI, US Dept of Energy Office

    Office of Scientific and Technical Information (OSTI)

    of Scientific and Technical Information Browse OSTIblog Articles by Related Topics 1 2 3 7 9 @ A B C D E F G H I J K L M N O P Q R S T U V W X Y 1970s 21st century 3D Printing 70th Anniversary 9/11 @ostigov Accelerated Climate Modeling for Energy accelerator accepted manuscript access accomplishments ACME additive manufacturing adhesive tape administrative interval ADNI Advanced Photon Source Advanced Research Projects Agency-Energy Advanced Scientific Computing Research AEC Aerogels Albert

  8. A framework for plot control in interactive story systems

    SciTech Connect (OSTI)

    Sgouros, N.M.; Papakonstantinou, G.; Tsanakas, P.

    1996-12-31

    This paper presents a framework for plot control in interactive story systems. In this framework, the user takes the place of the main character of the story, the protagonist. The rest of the cast consists of discrete characters, each playing a specific role in the story. A separate module in this system, the plot manager, controls the behavior of the cast and specifies what the protagonist can do. The story plot is dynamically shaped by the interference between cast members and their social interactions. The system accepts as input a story map which provides the main metaphor for organizing the plot and localizes the interaction of the protagonist with the rest of the cast. We are implementing this framework in PEGASUS, an interactive travel story environment for Greek mythology.

  9. ARM - Datastreams - met

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

    ... field: PWS instantaneous present weather code unitless qcpwspwcodeinst ... Data Browse Plots Shouxian, Anhui, China retired MAO M1 Browse Data Browse Plots Manacapuru, Amazonas, ...

  10. Meteorological aspects of siting large wind turbines

    SciTech Connect (OSTI)

    Hiester, T.R.; Pennell, W.T.

    1981-01-01

    This report, which focuses on the meteorological aspects of siting large wind turbines (turbines with a rated output exceeding 100 kW), has four main goals. The first is to outline the elements of a siting strategy that will identify the most favorable wind energy sites in a region and that will provide sufficient wind data to make responsible economic evaluations of the site wind resource possible. The second is to critique and summarize siting techniques that were studied in the Department of Energy (DOE) Wind Energy Program. The third goal is to educate utility technical personnel, engineering consultants, and meteorological consultants (who may have not yet undertaken wind energy consulting) on meteorological phenomena relevant to wind turbine siting in order to enhance dialogues between these groups. The fourth goal is to minimize the chances of failure of early siting programs due to insufficient understanding of wind behavior.

  11. Meteorological Support at the Savanna River Site

    SciTech Connect (OSTI)

    Addis, Robert P.

    2005-10-14

    The Department of Energy (DOE) operates many nuclear facilities on large complexes across the United States in support of national defense. The operation of these many and varied facilities and processes require meteorological support for many purposes, including: for routine operations, to respond to severe weather events, such as lightning, tornadoes and hurricanes, to support the emergency response functions in the event of a release of materials to the environment, for engineering baseline and safety documentation, as well as hazards assessments etc. This paper describes a program of meteorological support to the Savannah River Site, a DOE complex located in South Carolina.

  12. ARM - Instrument - sonde

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

    Plots Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired SBS M1 Browse Data Browse Plots Steamboat Springs CO, Valley Site; AMF2...

  13. ARM - Datastreams - sondewnpn

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

    Plots Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired SBS M1 Browse Data Browse Plots Steamboat Springs CO, Valley Site; AMF2...

  14. ARM Surface Meteorology Systems Instrument Handbook

    SciTech Connect (OSTI)

    Ritsche, MT

    2011-03-08

    The ARM Surface Meteorology Systems consist mainly of conventional in situ sensors that obtain a defined “core” set of measurements. The core set of measurements is: Barometric Pressure (kPa), Temperature (°C), Relative Humidity (%), Arithmetic-Averaged Wind Speed (m/s), Vector-Averaged Wind Speed (m/s), and Vector-Averaged Wind Direction (deg).

  15. Code System for Data Plotting and Curve Fitting.

    Energy Science and Technology Software Center (OSTI)

    2001-07-23

    Version 00 PLOTnFIT is used for plotting and analyzing data by fitting nth degree polynomials of basis functions to the data interactively and printing graphs of the data and the polynomial functions. It can be used to generate linear, semilog, and log-log graphs and can automatically scale the coordinate axes to suit the data. Multiple data sets may be plotted on a single graph. An auxiliary program, READ1ST, is included which produces an on-line summarymore » of the information contained in the PLOTnFIT reference report.« less

  16. Surveillance of Site A and Plot M, Report for 2009.

    SciTech Connect (OSTI)

    Golchert, N. W.

    2010-04-21

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2009 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to monitor the migration pathway of hydrogen-3 contaminated water from the burial ground (Plot M) to the hand-pumped picnic wells and monitor for the presence of radioactive materials in the environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  17. Surveillance of Site A and Plot M report for 2010.

    SciTech Connect (OSTI)

    Golchert, N. W.

    2011-05-31

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2010 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to monitor the migration pathway of hydrogen-3 contaminated water from the burial ground (Plot M) to the hand-pumped picnic wells and monitor for the presence of radioactive materials in the environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  18. Surveillance of Site A and Plot M report for 1994

    SciTech Connect (OSTI)

    Golchert, N.W.

    1995-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for 1994 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976-1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) monitor the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  19. Surveillance of Site A and Plot M. Report for 1992

    SciTech Connect (OSTI)

    Golchert, N.W.

    1993-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for CY 1992 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976--1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) determine the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  20. Surveillance of Site A and Plot M - report for 1993

    SciTech Connect (OSTI)

    Golchert, N.W.

    1994-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for CY 1993 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976-1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) determine the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  1. Surveillance of Site A and Plot M report for 1991

    SciTech Connect (OSTI)

    Golchert, N.W.

    1992-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for CY 1991 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976--1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) determine the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and surface stream. For many years it was the only radionclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of borehole next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site or those living in the vicinity.

  2. Surveillance of Site A and Plot M report for 1997

    SciTech Connect (OSTI)

    Golchert, N.M.

    1998-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for 1997 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976--1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to: (1) monitor the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  3. Surveillance of Site A and Plot M. Report for 1996

    SciTech Connect (OSTI)

    Golchert, N.W.

    1997-05-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for 1996 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976-1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) monitor the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  4. Surveillance of Site A and Plot M report for 1995

    SciTech Connect (OSTI)

    Golchert, N.W.

    1996-06-01

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for 1995 are presented. The surveillance program is the ongoing remedial action that resulted from the 1976-1978 radiological characterization of the site. That study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to (1) monitor the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) generally characterize the radiological environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Tritiated water continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. For many years it was the only radionuclide found to have migrated in measurable quantities. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The available data does not allow a firm conclusion as to whether the presence of this nuclide represents recent migration or movement that may have occurred before Plot M was capped. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  5. Integrated Meteorology and Chemistry Modeling: Evaluation and Research Needs

    SciTech Connect (OSTI)

    Pleim, Jonathan; Mathur, Rohit; Rao, S. T.; Fast, Jerome D.; Backlanov, Alexander

    2014-04-01

    This is a conference summary report that will be published in the Bulletin of the American Meteorological Society.

  6. Surveillance of site A and plot M, report for 2007.

    SciTech Connect (OSTI)

    Golchert, N. W.; ESH /QA Oversight

    2008-03-25

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2007 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand pumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to: (1) monitor the migration pathway of water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if other buried radionuclides have migrated, and (3) monitor the presence of radioactive materials in the environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  7. Surveillance of Site A and Plot M, Report for 2008.

    SciTech Connect (OSTI)

    Golchert, N. W.

    2009-05-07

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2008 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand pumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to (1) monitor the migration pathway of hydrogen-3 contaminated water from the burial ground (Plot M) to the hand-pumped picnic wells, (2) establish if other buried radionuclides have migrated, and (3) monitor for the presence of radioactive materials in the environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  8. Surveillance of Site A and Plot M - Report for 2006.

    SciTech Connect (OSTI)

    Golchert, N. W.; ESH /QA Oversight

    2007-05-07

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2006 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby hand-pumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to (1) monitor the migration pathway of water from the burial ground (PlotM) to the hand pumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) monitor the presence of radioactive and chemically hazardous materials in the environment of the area. Hydrogen-3 in the Red GateWoods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  9. Surveillance of Site A and Plot M - Report for 2005.

    SciTech Connect (OSTI)

    Golchert, N. W.; ESH /QA Oversight

    2006-04-10

    The results of the environmental surveillance program conducted at Site A/Plot M in the Palos Forest Preserve area for Calendar Year 2005 are presented. Based on the results of the 1976-1978 radiological characterization of the site, a determination was made that a surveillance program be established. The characterization study determined that very low levels of hydrogen-3 (as tritiated water) had migrated from the burial ground and were present in two nearby handpumped picnic wells. The current surveillance program began in 1980 and consists of sample collection and analysis of surface and subsurface water. The results of the analyses are used to (1) monitor the migration pathway of water from the burial ground (Plot M) to the handpumped picnic wells, (2) establish if buried radionuclides other than hydrogen-3 have migrated, and (3) monitor the presence of radioactive and chemically hazardous materials in the environment of the area. Hydrogen-3 in the Red Gate Woods picnic wells was still detected this year, but the average and maximum concentrations were significantly less than found earlier. Hydrogen-3 continues to be detected in a number of wells, boreholes, dolomite holes, and a surface stream. Analyses since 1984 have indicated the presence of low levels of strontium-90 in water from a number of boreholes next to Plot M. The results of the surveillance program continue to indicate that the radioactivity remaining at Site A/Plot M does not endanger the health or safety of the public visiting the site, using the picnic area, or living in the vicinity.

  10. ChromPlot for MicroChemLab

    Energy Science and Technology Software Center (OSTI)

    2001-12-19

    The software entitled "ChromPlot for MicroChemLab" is used to collect, display, and save data from the Sandia National Laboratories chemical analysis system dubbed MicroChemLab. Sensor data is streamed from a MicroChemLab unit into a computer thru RS-232 in a manner that is not amenable to plotting. Also, there is no direct way to start and stop the unit as is. This software rearranges the data into something that can be easily plotted in real-time thenmore » save the data into a text file. In addition, this software provides the users a means to start and stop the hardware. This software was written specifically for MicroChemLab. MicroChemLab data is delivered at 6- 7 pts/sec/channel in a two-channel system for 1-2 min. This code is written around that premise. It is written for Pentium or higher machines running Windows 9x/Me/NT/2000/XP. This software was not developed under the BMS CRADA; it is software we use in the lab for our own testing. Bristol Meyers Squibb (BMS) will use this software for testing an online process monitor based on MicroChemLab. They have not indicated their interest in marketing our device or the software.« less

  11. A Visualization Tool for Meteorological Data

    Energy Science and Technology Software Center (OSTI)

    1999-09-28

    Graphical user interfaces (GUIs) have been buit to visualize surface and upper-meteorology data for any global location and time of interest. The user selects a domain (geographic location and bounding range) and time of interest using the Gui, and a file containing coded observations is accessed and decoded. two styles of the GUI have been built, depending on whether surface or upper air visualization is desired. The former indicates weather conditions near the earth''s surface,more » while the latter illustrates a vertical profile of atmospheric conditions.« less

  12. ARM - Instrument - sebs

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

    (71.393, -156.422, 0) Southern Great Plains SGP E14 Browse Data Browse Plots Lamont, OK (Extended, secondary) SGP E21 Browse Data Browse Plots Okmulgee, OK (Extended) SGP E31...

  13. ARM - Datastreams - twrcam3m

    Office of Scientific and Technical Information (OSTI)

    Atqasuk AK retired ARM Mobile Facility FKB M1 Browse Data Browse Plots Black Forest, Germany retired GRW M1 Browse Data Browse Plots Graciosa Island, Azores, Portugal retired NIM...

  14. ARM - Datastreams - nfov2ch

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

    Observatory, Nainital, Uttarkhand, India; AMF1 retired PVC M1 Browse Data Browse Plots Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA...

  15. Fermilab E866 (NuSea) Figures and Data Plots

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

    None

    The NuSea Experiment at Fermilab studied the internal structure of protons, in particular the difference between up quarks and down quarks. This experiment also addressed at least two other physics questions: nuclear effects on the production of charmonia states (bound states of charm and anti-charm quarks) and energy loss of quarks in nuclei from Drell-Yan measurements on nuclei. While much of the NuSea data are available only to the collaboration, figures, data plots, and tables are presented as stand-alone items for viewing or download. They are listed in conjunction with the published papers, theses, or presentations in which they first appeared. The date range is 1998 to 2008. To see these figures and plots, click on E866 publications or go directly to http://p25ext.lanl.gov/e866/papers/papers.html. Theses are at http://p25ext.lanl.gov/e866/papers/e866theses/e866theses.html and the presentations are found at http://p25ext.lanl.gov/e866/papers/e866talks/e866talks.html. Many of the items are postscript files.

  16. EM Laboratory Meteorologist to Lead American Meteorological Society

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. – In a first for DOE, a Department-affiliated meteorologist has been named president-elect of the American Meteorological Society (AMS).

  17. ARM Surface Meteorology Systems Instrument Handbook

    SciTech Connect (OSTI)

    Ritsche, MT

    2011-03-08

    The ARM Surface Meteorology Systems consist mainly of conventional in situ sensors that obtain a defined “core” set of measurements. The core set of measurements is: Barometric Pressure (kPa), Temperature (°C), Relative Humidity (%), Arithmetic-Averaged Wind Speed (m/s), Vector-Averaged Wind Speed (m/s), and Vector-Averaged Wind Direction (deg). The sensors that collect the core variables are mounted at the standard heights defined for each variable: • Winds: 10 meters • Temperature and Relative Humidity: 2 meters • Barometric Pressure: 1 meter. Depending upon the geographical location, different models and types of sensors may be used to measure the core variables due to the conditions experienced at those locations. Most sites have additional sensors that measure other variables that are unique to that site or are well suited for the climate of the location but not at others.

  18. NOvA (Fermilab E929) Official Plots and Figures

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

    The NOvA collaboration, consisting of 180 researchers across 28 institutions and managed by the Fermi National Accelerator Laboratory (FNAL), is developing instruments for a neutrino-focused experiment that will attempt to answer three fundamental questions in neutrino physics: 1) Can we observe the oscillation of muon neutrinos to electron neutrinos; 2) What is the ordering of the neutrino masses; and 3) What is the symmetry between matter and antimatter? The collaboration makes various data plots and figures available. These are grouped under five headings, with brief descriptions included for each individual figure: Neutrino Spectra, Detector Overview, Theta12 Mass Hierarchy CP phase, Theta 23 Delta Msqr23, and NuSterile.

  19. Surveillance of Site A and Plot M report for 1989

    SciTech Connect (OSTI)

    Golchert, N.W.

    1990-04-01

    The results of the environmental monitoring program conducted at Site A/Plot M in the Palos Park Forest Preserve area for CY 1989 are presented. The monitoring program is the ongoing remedial action that resulted from the 1976--1978 radiological characterization of the site. That study had determined that very low levels of hydrogen-3 migrated from the burial ground and was present in two nearby hand-pumped picnic wells. The current program consists of sample collection and analysis of air, surface and subsurface water, and bottom sediment. The results of the analyses are used to determine the migration pathway of water from the burial ground to the hand-pumped picnic wells, establish if buried radionuclides other than hydrogen-3 have migrated, and generally characterize the radiological environment of the area. 16 refs., 6 figs., 15 tabs.

  20. ARM - VAP Process - armbestns

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

    Productsarmbestns Documentation & Plots Technical Report 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 : Station-based Surface Products (ARMBESTNS) Instrument Categories Radiometric, Cloud Properties, Surface Meteorology Surface pressure is shown in hPa from different SGP surface meteorological sites (color-coded) from ARMBESTNS data set for the Midlatitude

  1. Analysis of the raw data of sample plots in NFIMAP Cycle IV ...

    Open Energy Info (EERE)

    raw data of sample plots in NFIMAP Cycle IV (English version) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Analysis of the raw data of sample plots in NFIMAP Cycle IV...

  2. Brookhaven National Laboratory meteorological services instrument calibration plan and procedures

    SciTech Connect (OSTI)

    Heiser .

    2013-02-16

    This document describes the Meteorological Services (Met Services) Calibration and Maintenance Schedule and Procedures, The purpose is to establish the frequency and mechanism for the calibration and maintenance of the network of meteorological instrumentation operated by Met Services. The goal is to maintain the network in a manner that will result in accurate, precise and reliable readings from the instrumentation.

  3. The data collection component of the Hanford Meteorology Monitoring Program

    SciTech Connect (OSTI)

    Glantz, C.S.; Islam, M.M.

    1988-09-01

    An intensive program of meteorological monitoring is in place at the US Department of Energy's Hanford Site. The Hanford Meteorology Monitoring Program involves the measurement, observation, and storage of various meteorological data; continuous monitoring of regional weather conditions by a staff of professional meteorologists; and around-the-clock forecasting of weather conditions for the Hanford Site. The objective of this report is to document the data collection component of the program. In this report, each meteorological monitoring site is discussed in detail. Each site's location and instrumentation are described and photographs are presented. The methods for processing and communicating data to the Hanford Meteorology Station are also discussed. Finally, the procedures followed to maintain and calibrate these instruments are presented. 2 refs., 83 figs., 15 tabs.

  4. Dalitz Plot Analysis of B+- --> pi+-pi+-pi-+ Decays

    SciTech Connect (OSTI)

    Collaboration, The BABAR; Aubert, B.

    2009-02-23

    The authors present a Dalitz-plot analysis of charmless B{sup {+-}} decays to the final state {pi}{sup {+-}}{pi}{sup {+-}}{pi}{sup {-+}} using a sample of (465 {+-} 5) x 10{sup 6} B{bar B} pairs collected by the BABAR experiment at {radical}s = 10.58 GeV. They measure the branching fractions {Beta}(B{sup {+-}} {yields} {pi}{sup {+-}}{pi}{sup {+-}}{pi}{sup {-+}}) = (15.2 {+-} 0.6 {+-} 1.2 {+-} 0.4) x 10{sup -6}, {Beta}(B{sup {+-}} {yields} {rho}{sup 0}(770){pi}{sup {+-}}) = (8.1 {+-} 0.7 {+-} 1.2{sub -1.1}{sup +0.4}) x 10{sup -6}, {Beta}(B{sup {+-}} {yields} f{sub 2}(1270){pi}{sup {+-}}) = (1.57 {+-} 0.42 {+-} 0.16{sub -0.19}{sup +0.53}) x 10{sup -6}, and {Beta}(B{sup {+-}} {yields} {pi}{sup {+-}}{pi}{sup {+-}}{pi}{sup {-+}} nonresonant) = (5.3 {+-} 0.7 {+-} 0.6{sub -0.5}{sup +1.1}) x 10{sup -6}, where the uncertainties are statistical, systematic, and model-dependent, respectively. Measurements of branching fractions for the modes B{sup {+-}} {yields} {rho}{sup 0}(1450){pi}{sup {+-}} and B{sup {+-}} {yields} f{sub 0}(1370){pi}{sup {+-}} are also presented. They observe no significant direct CP asymmetries for the above modes, and there is no evidence for the decays B{sup {+-}} {yields} f{sub 0}(980){pi}{sup {+-}}, B{sup {+-}} {yields} {chi}{sub c0}{pi}{sup {+-}}, or B{sup {+-}} {yields} {chi}{sub c2}{pi}{sup {+-}}.

  5. ARM - Datastreams - pws

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

    Datastreamspws Documentation Data Quality Plots Citation DOI: 10.5439/1025263 [ 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 pws Archive Data Plot Example pws Archive Data Plot Datastream : PWS Present weather sensor, 1-min avg Active Dates 1998.03.20 - 2003.10.25 Measurement Categories Atmospheric State Originating Instrument Surface and Tower Meteorological

  6. ARM - VAP Process - mergesonde

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

    Productsmergesonde Documentation & Plots Technical Report 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 : Merged Sounding (MERGESONDE) Instrument Categories Atmospheric Profiling Plot for Merged Sounding VAP The Merged Sounding value-added product uses a combination of observations from radiosonde soundings, microwave radiometers, surface meteorological

  7. Minicomputer Capabilities Related to Meteorological Aspects of Emergency Response

    SciTech Connect (OSTI)

    Rarnsdell, J. V.; Athey, G. F.; Ballinger, M. Y.

    1982-02-01

    The purpose of this report is to provide the NRC staff involved in reviewing licensee emergency response plans with background information on the capabilities of minicomputer systems that are related to the collection and dissemination of meteorological infonmation. The treatment of meteorological information by organizations with existing emergency response capabilities is described, and the capabilities, reliability and availability of minicomputers and minicomputer systems are discussed.

  8. Site A/Plot M, Illinois, Decommissioned Reactor Site Fact Sheet

    Office of Legacy Management (LM)

    Site A/Plot M, Illinois, Decommissioned Reactor Site This fact sheet provides information about the Site A/Plot M, Illinois, Decommissioned Reactor Site. This site is managed by the U.S. Department of Energy Office of Legacy Management under the DOE Defense Decontamination and Decommissioning (D&D) Program. Location of the Site A/Plot M, Illinois, Decommissioned Reactor Site Site Description and History The Site A/Plot M decommissioned reactor site is located in the Palos Forest Preserve in

  9. The Meteorological Monitoring program at a former nuclear weapons plant

    SciTech Connect (OSTI)

    Maxwell, D.R.; Bowen, B.M.

    1994-02-01

    The purpose of the Meteorological Monitoring program at Rocky Flats Plant (RFP) is to provide meteorological information for use in assessing the transport, and diffusion, and deposition of effluent actually or potentially released into the atmosphere by plant operations. Achievement of this objective aids in protecting health and safety of the public, employees, and environment, and directly supports Emergency Response programs at RFP. Meteorological information supports the design of environmental monitoring networks for impact assessments, environmental surveillance activities, remediation activities, and emergency responses. As the mission of the plant changes from production of nuclear weapons parts to environmental cleanup and economic development, smaller releases resulting from remediation activities become more likely. These possible releases could result from airborne fugitive dust, evaporation from collection ponds, or grass fires.

  10. Management of meteorological data at a former nuclear weapons facility

    SciTech Connect (OSTI)

    Dickerman, C.L.; Maxwell, D.R.

    1995-03-01

    The purposes of the Climatological Data Management and Meteorological Monitoring programs at the Rocky Flats Environmental Technology Site (Site), are to support Emergency Response (ER) programs at the Site for use in assessing the transport, diffusion, and deposition of effluents actually or potentially released into the atmosphere by Site operations, to provide information for on-site and off-site projects concerned with the design of environmental monitoring networks for impact assessments, environmental surveillance activities, and remediation activities. Also, maintenance of a meteorological monitoring network, which includes measuring, archiving, analyzing, interpreting, and summarizing resulting data is required for successfully generating monthly and annual environmental monitoring reports and for providing assistance for on-site and off-site projects. Finally, the Meteorological Monitoring Program provides information for site-specific weather forecasting, which supports Site operations, employee safety, and Emergency Response operations.

  11. ARM - Datastreams - 10taomet165e2s

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

    e2s Documentation XDC 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 : 10TAOMET165E2S Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 2 S

  12. ARM - Datastreams - 10taomet165e5n

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

    n Documentation XDC 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 : 10TAOMET165E5N Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 5 N

  13. ARM - Datastreams - 10taomet165e5s

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

    s Documentation XDC 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 : 10TAOMET165E5S Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 5 S

  14. Technical Work Plan For: Meteorological Monitoring Data Analysis

    SciTech Connect (OSTI)

    R. Green

    2006-02-06

    The meteorological monitoring and analysis program has five objectives. (1) Acquire qualified meteorological data from YMP meteorological monitoring network using appropriate controls on measuring and test equipment. Because this activity is monitoring (i.e., recording naturally occurring events) pre-test predictions are not applicable. All work will be completed in accordance with U.S. Department of Energy (DOE) Office of Repository Development (ORD) administrative procedures and Bechtel SAIC Co., LLC (BSC) line procedures. The meteorological monitoring program includes measuring and test equipment calibrations, operational checks, preventive and corrective maintenance, and data collection. (2) Process the raw monitoring data collected in the field and submit technically reviewed, traceable data to the Technical Data Management System (TDMS) and the Records Processing Center. (3) Develop analyses or calculations to provide information to data requesters and provide data sets as requested. (4) Provide precipitation amounts to Site Operations to support requirements to perform inspections in the Stormwater Pollution Prevention Plan (implemented in LP-OM-050Q-BSC) following storm events of greater than 0.5 inches. The program also provides meteorological data during extreme weather conditions (e.g., high winds, rainstorms, etc.) to support decisions regarding worker safety. (5) Collect samples of precipitation for chemical and isotopic analysis by the United States Geological Survey (USGS). The BSC ES&H Environmental Compliance organization is responsible for performing this work. Data from calendar-year periods are submitted to the TDMS to provide YMP users with qualified meteorological data for scientific modeling and analyses, engineering designs of surface facilities, performance assessment analyses, and operational safety issues.

  15. NREL Releases Updated Typical Meteorological Year Data Set - News Releases

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

    | NREL NREL Releases Updated Typical Meteorological Year Data Set May 1, 2008 The U.S. Department of Energy's National Renewable Energy Laboratory (NREL) today released an updated typical meteorological year (TMY) data set derived from the 1991-2005 National Solar Radiation Data Base update. The TMY3 data and user's manual are available at http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/tmy3. The new data sets update and expand the TMY2 data sets released by NREL in 1994. The TMY3 data

  16. Catalog of the Oak Ridge National Laboratory Meteorological Tape Library

    SciTech Connect (OSTI)

    Bell, M.A.

    1983-08-01

    This report gives a complete inventory of the data tapes in the ORNL Meteorological Tape Library (OMTL). The attributes of each tape, including location of the weather station (city and state), station number, standard data format, dates covered, data set name(s), and job control language considerations (record format, record length, blocksize, tape label, and tape density), are listed for each tape. In addition, a description of some of the special characteristics of each of the available standard meteorological data formats is presented.

  17. ARM - Instrument - ccn

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

    PVC M1 Browse Data Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Point Reyes, CA retired SBS S2 Browse Data Browse Plots Steamboat Springs CO, Christie Peak...

  18. ARM - Instrument - aos

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

    M1 Browse Data Browse Plots Highland Center, Cape Cod MA; AMF1 PYE M1 Browse Data Point Reyes, CA retired SBS S2 Browse Data Steamboat Springs CO, Christie Peak retired TMP S1...

  19. Data Plots from FNAL-E907: Main Injector Particle Production Experiment (MIPP)

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

    There are approximately 40 data plots available to the public from E907. A proposal to upgrade the MIPP experiment (E-P-960) has been deferred. See the MIPP homepage at http://ppd.fnal.gov/experiments/e907/

  20. Site A/Plot M Disposal Site, Chicago, Illinois, Fact Sheet

    Office of Legacy Management (LM)

    ... LTS111003001S0017500.DWG 294 294 Between 1944 and 1949, radioactive waste and contaminated laboratory equipment from these operations were buried in Plot M. Waste was buried in ...

  1. Maintenance Plan Site A and Plot M Palos Forest Preserve, Cook County, Illinois

    Office of Legacy Management (LM)

    Maintenance Plan Site A and Plot M Palos Forest Preserve, Cook County, Illinois January 2015 LMS/SAM/S01063-1.0 This page intentionally left blank U.S. Department of Energy Long-Term Surveillance and Maintenance Plan for Site A and Plot M January 2015 Doc. No. S01063-1.0 Page i Contents Abbreviations ................................................................................................................................. iii 1.0 Introduction

  2. ARM - Instrument - mwr

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

    Plots ARIES Observatory, Nainital, Uttarkhand, India; AMF1 retired PVC M1 Browse Data Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA...

  3. ARM - Instrument - gndrad

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

    Plots Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired SBS M1 Browse Data Steamboat Springs CO, Valley Site; AMF2 retired TMP M1...

  4. Model-independent plotting of the cosmological scale factor as a function of lookback time

    SciTech Connect (OSTI)

    Ringermacher, H. I.; Mead, L. R., E-mail: ringerha@gmail.com, E-mail: Lawrence.mead@usm.edu [Department of Physics and Astronomy, University of Southern Mississippi, Hattiesburg, MS 39406 (United States)

    2014-11-01

    In this work we describe a model-independent method of developing a plot of scale factor a(t) versus lookback time t{sub L} from the usual Hubble diagram of modulus data against redshift. This is the first plot of this type. We follow the model-independent methodology of Daly and Djorgovski used for their radio-galaxy data. Once the a(t)data plot is completed, any model can be applied and will display as described in the standard literature. We then compile an extensive data set to z = 1.8 by combining Type Ia supernovae (SNe Ia) data from SNLS3 of Conley et al., high-z SNe data of Riess et al., and radio-galaxy data of Daly and Djorgovski to validate the new plot. We first display these data on a standard Hubble diagram to confirm the best fit for ?CDM cosmology, and thus validate the joined data set. The scale factor plot is then developed from the data and the ?CDM model is again displayed from a least-squares fit. The fit parameters are in agreement with the Hubble diagram fit confirming the validity of the new plot. Of special interest is the transition time of the universe, which in the scale factor plot will appear as an inflection point in the data set. Noise is more visible in this presentation, which is particularly sensitive to inflection points of any model displayed in the plot, unlike on a modulus-z diagram, where there are no inflection points and the transition-z is not at all obvious by inspection. We obtain a lower limit of z ? 0.6. It is evident from this presentation that there is a dearth of SNe data in the range z = 1-2, exactly the range necessary to confirm a ?CDM transition-z around z = 0.76. We then compare a 'toy model' wherein dark matter is represented as a perfect fluid with an equation of state p = (1/3) ? to demonstrate the plot sensitivity to model choice. Its density varies as 1/t {sup 2} and it enters the Friedmann equations as ?{sub dark}/t {sup 2}, replacing only the ?{sub dark}/a {sup 3} term. The toy model is a close match to

  5. ARM - VAP Process - abrfc

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

    Productsabrfc Documentation & Plots abrfc : XDC documentation 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 : Arkansas-Red Basin River Forecast Center (ABRFC) Instrument Categories Surface Meteorology General Overview Every hour a gridded (4 km x 4 km) precipitation field is created. This field is a combination of both WSR-88D Nexrad radar precipitation

  6. ARM - VAP Process - armbe2dgrid

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

    Productsarmbe2dgrid Documentation & Plots Technical Report 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 : 2D Gridded Surface Data Set (ARMBE2DGRID) Instrument Categories Radiometric, Cloud Properties, Satellite Observations, Surface Meteorology, Surface/Subsurface Properties Surface air relative humidity is shown in percent from the ARMBE2DGRID data product on

  7. Active layer dynamics and arctic hydrology and meteorology. Final report

    SciTech Connect (OSTI)

    Not Available

    1993-10-01

    Man`s impact on the environment is increasing with time. To be able to evaluate anthropogenic impacts on an ecosystems, it is necessary first to understand all facets of how the ecosystems works: what the main processes (physical, biological, chemical) are, at what rates they proceed, and how they can be manipulated. Arctic ecosystems are dominated by physical processes of energy exchange. This project has concentrated on a strong program of hydrologic and meteorologic data collection, to better understand dominant physical processes. Field research focused on determining the natural annual and diurnal variability of meteorologic and hydrologic variables, especially those which may indicate trends in climatic change. Comprehensive compute models are being developed to simulate physical processes occurring under the present conditions and to simulate processes under the influence of climatic change.

  8. Technical Work Plan For: Meteorological Monitoring and Data Analysis

    SciTech Connect (OSTI)

    C.T. Bastian

    2003-03-28

    The meteorological monitoring and analysis program has three overall objectives. First, the program will acquire qualified meteorological data from monitoring activities in the Environmental Safety and Health (ES&H) network, including appropriate controls on measuring and test equipment. All work will be completed in accordance with U.S. Department of Energy (DOE) Office of Repository Development (ORD) administrative procedures and Bechtel SAIC Co., LLC (BSC) line procedures. The continuously operating monitoring program includes measuring and test equipment calibrations, operational checks, preventive and corrective maintenance, and data collection. Second, the program will process the raw monitoring data collected in the field and submit technically reviewed, traceable data to the Technical Data Management System (TDMS) and the Records Processing Center. Third, reports containing analyses or calculations could be created to provide information to data requesters.

  9. Meteorological field measurements at potential and actual wind turbine sites

    SciTech Connect (OSTI)

    Renne, D.S.; Sandusky, W.F.; Hadley, D.L.

    1982-09-01

    An overview of experiences gained in a meteorological measurement program conducted at a number of locations around the United States for the purpose of site evaluation for wind energy utilization is provided. The evolution of the measurement program from its inception in 1976 to the present day is discussed. Some of the major accomplishments and areas for improvement are outlined. Some conclusions on research using data from this program are presented.

  10. Poster Sessions J. Dudhia Mesoscale and Microscale Meteorology Division

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

    J. Dudhia Mesoscale and Microscale Meteorology Division National Center for Atmospheric Research Boulder, CO 80307-3000 Introduction The concept of an Integrated Data Assimilation and Sounding System (IDASS) ensures that the needs of data collection are partly determined by the requirements of an assimilating mesoscale model. Hence, the sounding strategy is geared towards allowing the model to do the best possible job in representing the atmosphere over CART sites, for example. It is not clear a

  11. Continental Liquid-phase Stratus Clouds at SGP: Meteorological Influences

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

    and Relationship to Adiabacity Continental Liquid-phase Stratus Clouds at SGP: Meteorological Influences and Relationship to Adiabacity Kim, Byung-Gon Kangnung National University Schwartz, Stephen Brookhaven National Laboratory Miller, Mark Brookhaven National Laboratory Min, Qilong State University of New York at Albany Category: Cloud Properties The microphysical properties of continental stratus clouds observed over SGP appear to be substantially influenced by micrometeorological

  12. Role of surface characteristics in urban meteorology and air quality

    SciTech Connect (OSTI)

    Sailor, D.J.

    1993-08-01

    Urbanization results in a landscape with significantly modified surface characteristics. The lower values of reflectivity to solar radiation, surface moisture availability, and vegetative cover, along with the higher values of anthropogenic heat release and surface roughness combine to result higher air temperatures in urban areas relative to their rural counterparts. Through their role in the surface energy balance and surface exchange processes, these surface characteristics are capable of modifying the local meteorology. The impacts on wind speeds, air temperatures, and mixing heights are of particular importance, as they have significant implications in terms of urban energy use and air quality. This research presents several major improvements to the meteorological modeling methodology for highly heterogeneous terrain. A land-use data-base is implemented to provide accurate specification of surface characteristic variability in simulations of the Los Angeles Basin. Several vegetation parameterizations are developed and implemented, and a method for including anthropogenic heat release into the model physics is presented. These modeling advancements are then used in a series of three-dimensional simulations which were developed to investigate the potential meteorological impact of several mitigation strategies. Results indicate that application of moderate tree-planting and urban-lightening programs in Los Angeles may produce summertime air temperature reductions on the order of 4{degree}C with a concomitant reduction in air pollution. The analysis also reveals several mechanisms whereby the application of these mitigation strategies may potentially increase pollutant concentrations. The pollution and energy use consequences are discussed in detail.

  13. Estimation of solar radiation from Australian meteorological observations

    SciTech Connect (OSTI)

    Moriarty, W.W. )

    1991-01-01

    A carefully prepared set of Australian radiation and meteorological data was used to develop a system for estimating hourly or instantaneous broad direct, diffuse and global radiation from meteorological observations. For clear sky conditions relationships developed elsewhere were adapted to Australian data. For cloudy conditions the clouds were divided into two groups, high clouds and opaque (middle and low) clouds, and corrections were made to compensate for the bias due to reporting practices for almost clear and almost overcast skies. Careful consideration was given to the decrease of visible sky toward the horizon caused by the vertical extent of opaque clouds. Equations relating cloud and other meteorological observations to the direct and diffuse radiation contained four unknown quantities, functions of cloud amount and of solar elevation, which were estimated from the data. These were proportions of incident solar radiation passed on as direct and as diffuse radiation by high clouds, and as diffuse radiation by opaque clouds. When the resulting relationships were used to estimate global, direct and diffuse radiation on a horizontal surface, the results were good, especially for global radiation. Some discrepancies between estimates and measurements of diffuse and direct radiation were probably due to erroneously high measurements of diffuse radiation.

  14. WELLOG: computer software system for analyzing and plotting well log data (a user's guide to WELLOG. REV2)

    SciTech Connect (OSTI)

    Atwood, J.W.; Killpack, T.J.; Glenn, W.E.; Nutter, C.

    1980-11-01

    WELLOG is a software system that has been developed to plot digitized well log data in a manner suitable for analysis. Multiple logs can be plotted side by side for correlation analysis, and up to three logs can be plotted on a cross plot. Data entry, editing, and modification functions are also provided by the program. Digitizing is accomplished by a TEKTRONIX 4954 (on-line) digitizing tablet, and plotting is done on a TEKTRONIX 4014 graphics terminal, a STATOS 42 electrostatic plotter, or a CALCOMP pen plotter using a device independent plotting system. This program (WELLOG.REV2) is not as system-dependent as the former version (WELLOG.REV1). The user must supply a program to digitize the data and supply subroutines to interface the program with file manipulation and plotting routines of their system. One major improvement is the use of an on-line digitizing system whereby the program accesses disk files rather than reading the data from tape. In REV2 the merge file has been automated such that the file is initialized automatically upon creation and also delete protected. The randomly spaced data capabilities have been greatly improved allowing the averaging and cross plotting of the data. Routines have been added which allow all of the cross plots excepting the Z-plot to be printed on a line printer. Dresser Atlas' A-K plot has also been added. The program is almost completely self-contained needing only a few interfacing and system subroutines.

  15. ANL-14/01 Surveillance of Site A and Plot M

    Office of Legacy Management (LM)

    ANL-14/01 Surveillance of Site A and Plot M Report for 2013 Environment, Safety, and Quality Assurance Argonne National Laboratory is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC ENERGY U.S. DEPARTMENT OF Environment, Safety, and Quality Assurance Division Argonne National Laboratory 9700 South Cass Avenue, Bldg. 201 Argonne, IL 60439-4832 www.anl.gov ANL-14/01 Surveillance of Site A and Plot M Report for 2013 by Lawrence P. Moos Environment, Safety, and Quality

  16. ARM - Site Instruments

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

    ARM Zenith Radar Cloud Properties Browse Data Single installation LDIS Laser Disdrometer Surface Meteorology Browse Data Installed at 2 facilities MET Surface ...

  17. ARM - Site Instruments

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

    Zenith Radar Cloud Properties Browse Data Installed at 2 facilities LDIS Laser Disdrometer Surface Meteorology Browse Data Installed at 2 facilities MPL Micropulse Lidar ...

  18. Meteorological Observations for Renewable Energy Applications at Site 300

    SciTech Connect (OSTI)

    Wharton, S; Alai, M; Myers, K

    2011-10-26

    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.

  19. ARM Mobile Facility Surface Meteorology Handbook - October 2008

    SciTech Connect (OSTI)

    MT Ritsche

    2008-10-30

    The ARM Mobile Facility Surface Meteorology station (AMF MET) uses mainly conventional in situ sensors to obtain 1-minute statistics of surface wind speed, wind direction, air temperature, relative humidity, barometric pressure, and rain-rate. Additional sensors may be added to or removed from the base set of sensors depending upon the deployment location, climate regime or programmatic needs. Additionally, sensor types may change depending upon the climate regime of the deployment. These changes/additions are noted in the Deployment Locations and History section.

  20. Geosynchronous Energetic Particle (EP) Data Plots from Los Alamos National Laboratory (LANL)

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

    Belian, Dick; Reeves, Geoff; Dors, Eric

    LANL's Geosynchronous Energetic Particle activities include collecting and analyzing data from ten satellites in an ongoing program sponsored by DOE. Data acquisition has been continuous since 1976 and is received in real time 24 hours a day. The website provides access to Low Energy proton and electron summary plots, showing spin-averaged fluxes from each satellite for each day since July 4, 1976.

  1. WorkOp-III:94 synopsis. Final-contribution mini plots and tables

    SciTech Connect (OSTI)

    Serduke, F.

    1995-06-01

    WorkOp-III:94 is the third in a series of Opacity Workshops. The developers of twenty-one codes participated. Thirty-eight plasmas were selected for their relevance to problems of interest or for the challenge they would pose to the models. Frequently-dependent absorption coefficients, mean opacities, ionization distributions and other detailed information were submitted, discussed and resubmitted. This synopsis contains a subset of the information presented at the workshop and in the considerably more extensive, forthcoming, final report. A quick overview of the mean opacities that were submitted can be obtained from the graphical-table plots of the Rosseland and Planck means for all the cases. In addition, for each or the 38 plasma cases, there is a single page of mini plots of all total absorption coefficients submitted plus tables of integral quantities such as mean opacities, chemical potential and average ionization stage.

  2. ARM - Instrument - mwrp

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

    The data are useful for input to numerical weather forecast models and others that require continuous, high ... Browse Plots Shouxian, Anhui, China retired MAO M1 Browse Data ...

  3. ARM - Instrument - mfrirt

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

    broadband upwelling irradiance Shortwave broadband total upwelling irradiance Surface skin temperature Locations Southern Great Plains SGP C1 Browse Data Browse Plots Central...

  4. ARM - Site Instruments

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

    at fixed or mobile facilities or are available through the ARM Aerial Facility. EBBR Energy Balance Bowen Ratio Station SurfaceSubsurface Properties Browse Plots Browse Data...

  5. A One-Year Study of the Diurnal Cycle of Meteorology, Clouds...

    Office of Scientific and Technical Information (OSTI)

    The meteorological analysis builds upon past studies of the diurnal cycle in the region by incorporating diurnal cycles of lower tropospheric wind profiles, thermodynamic profiles, ...

  6. Geosynchronous Energetic Particle (EP) Data Plots from Los Alamos National Laboratory (LANL)

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

    Belian, Dick; Reeves, Geoff; Dors, Eric

    LANL's Geosynchronous Energetic Particle activities include collecting and analyzing data from ten satellites in an ongoing program sponsored by DOE.  Data acquisition has been continuous since 1976 and is received in real time 24 hours a day.  The website provides access to Low Energy proton and electron summary plots, showing spin-averaged fluxes from each satellite for each day since July 4, 1976.

  7. ANL-08/04 Surveillance of Site A and Plot M

    Office of Legacy Management (LM)

    ANL-08/04 Surveillance of Site A and Plot M Report for 2007 Environment, Safety, and Health/Quality Assurance Oversight Division Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor UChicago Argonne, LLC, nor any of their employees or offcers, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or

  8. Environmental review for Site A/Plot M, Palos Forest Preserve, Cook County, Illinois

    SciTech Connect (OSTI)

    Biang, R.P.; Yuen, C.R.; Avci, H.I.; Haffenden, R.

    1993-06-01

    This report is an environmental review of two sites known as Site A and Plot M, which are located in the Palos Forest Preserve of the Forest Preserve District of Cook County, approximately 20 mi southwest of downtown Chicago and about 3 mi east of the current site of Argonne National Laboratory (ANL). An enlarged map of the area around the sites is shown in a figure. Site A covers about 19 acres, and Plot M covers about 1 acre. This document consists of the following sections: a review of the site history and environment, a description of the conceptual pathway models for both Site A and Plot M and a brief discussion of previous sampling events, a discussion of possible transport pathways, an evaluation of the Phase 2 Work Plan for Site A, a review of the applicable or relevant and appropriate regulations (ARARs), and recommendations for future study. The recommendations are based on an evaluation of previously collected data. Where data were sufficient, a geologic conceptual model was developed. If data were not sufficient to develop a model, recommendations for data collection are made. A new base map was developed for the site by using the base survey conducted in the 1940s, aerial photographs dating back to 1948, and site visits.

  9. Dalitz Plot Analysis of D0 to K0K+ K-

    SciTech Connect (OSTI)

    Aubert, B.; Barate, R.; Boutigny, D.; Couderc, F.; Karyotakis, Y.; Lees, J.P.; Poireau, V.; Tisserand, V.; Zghiche, A.; Grauges, E.; Palano, A.; Pappagallo, M.; Pompili, A.; Chen, J.C.; Qi, N.D.; Rong, G.; Wang, P.; Zhu, Y.S.; Eigen, G.; Ofte, I.; Stugu, B. /Bergen U. /LBL, Berkeley /UC, Berkeley /Birmingham U. /Ruhr U., Bochum /Bristol U. /British Columbia U. /Brunel U. /Novosibirsk, IYF /UC, Irvine /UCLA /UC, Riverside /UC, San Diego /UC, Santa Barbara /UC, Santa Cruz /Caltech /Cincinnati U. /Colorado U. /Colorado State U. /Dortmund U. /Dresden, Tech. U. /Ecole Polytechnique /Edinburgh U. /Ferrara U. /INFN, Ferrara /Frascati /Genoa U. /INFN, Genoa /Harvard U. /Heidelberg U. /Imperial Coll., London /Iowa U. /Iowa State U. /Orsay, LAL /LLNL, Livermore /Liverpool U. /Queen Mary, U. of London /Royal Holloway, U. of London /Louisville U. /Manchester U. /Maryland U. /Massachusetts U., Amherst /MIT, LNS /McGill U. /Milan U. /INFN, Milan /Mississippi U. /Montreal U. /Mt. Holyoke Coll. /Naples U. /INFN, Naples /NIKHEF, Amsterdam /Notre Dame U. /Ohio State U. /Oregon U. /Padua U. /INFN, Padua /Paris U., VI-VII /Pennsylvania U. /Perugia U. /INFN, Perugia /Pisa U. /INFN, Pisa /Prairie View A-M /Princeton U. /Rome U. /INFN, Rome /Rostock U. /Rutherford /DAPNIA, Saclay /South Carolina U. /SLAC /Stanford U., Phys. Dept. /SUNY, Stony Brook /Tennessee U. /Texas U. /Texas U., Dallas /Turin U. /INFN, Turin /Trieste U. /INFN, Trieste /Valencia U., IFIC /Vanderbilt U. /Victoria U. /Warwick U. /Wisconsin U., Madison /Yale U.

    2005-07-12

    A Dalitz plot analysis of approximately 12,500 D{sup 0} events reconstructed in the hadronic decay D{sup 0} {yields} {bar K}{sup 0} K{sup +}K{sup -} is presented. This analysis is based on a data sample of 91.5 fb{sup -1} collected with the BABAR detector at the PEP-II asymmetric-energy e{sup +}e{sup -} storage rings at SLAC running at center-of-mass energies on and 40 MeV below the {Upsilon}(4S) resonance. The events are selected from e{sup +}e{sup -} {yields} c{bar c} annihilations using the decay D*{sup +} {yields} D{sup 0}{pi}{sup +}. The following ratio of branching fractions has been obtained: BR = {Lambda}(D{sup 0} {yields} {bar K}{sup 0}K{sup +}K{sup -})/{Lambda}(D{sup 0} {yields} {bar K}{sup 0}{pi}{sup +}{pi}{sup -}) = (15.8 {+-} 0.1(stat.) {+-} 0.5 (syst.)) x 10{sup -2}. Estimates of fractions and phases for resonant and non-resonant contributions to the Dalitz plot are also presented. The a{sub 0}(980) {yields} {bar K}K projection has been extracted with little background. A search for Cp asymmetries on the Dalitz plot has been performed.

  10. GRAFLAB 2.3 for UNIX - A MATLAB database, plotting, and analysis tool: User`s guide

    SciTech Connect (OSTI)

    Dunn, W.N.

    1998-03-01

    This report is a user`s manual for GRAFLAB, which is a new database, analysis, and plotting package that has been written entirely in the MATLAB programming language. GRAFLAB is currently used for data reduction, analysis, and archival. GRAFLAB was written to replace GRAFAID, which is a FORTRAN database, analysis, and plotting package that runs on VAX/VMS.

  11. Fossil Fuel Carbon Dioxide Emissions Data and Data Plots from Project Vulcan

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

    Gurney, Kevin

    Explore the Vulcan website for the Vulcan gridded data, methodological details, publications, plots and analysis.[Taken from "About Project Vulcan" at http://www.purdue.edu/eas/carbon/vulcan/index.php]Also, see the peer-reviewed paper that provides a "core" description for this project: Gurney, K.R., D. Mendoza, Y. Zhou, M Fischer, S. de la Rue du Can, S. Geethakumar, C. Miller (2009) The Vulcan Project: High resolution fossil fuel combustion CO2 emissions fluxes for the United States, Environ. Sci. Technol., 43, doi:10.1021/es900,806c.

  12. ANL-10/01 Surveillance of Site A and Plot M

    Office of Legacy Management (LM)

    ANL-10/01 Surveillance of Site A and Plot M Report for 2009 Environment, Safety, Health, and Quality Assurance Division Availability of This Report This report is available, at no cost, at http://www.osti.gov/bridge. It is also available on paper to the U.S. Department of Energy and its contractors, for a processing fee, from: U.S. Department of Energy Offce of Scientifc and Technical Information P.O. Box 62 Oak Ridge, TN 37831-0062 phone (865) 576-8401 fax (865) 576-5728

  13. ARM - Datastreams - twrcam3m

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

    M1 Browse Data Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired retired Originating instrument has been retired at this location...

  14. ARM - Instrument - mfr

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

    Central Facility, Lamont, OK ARM Mobile Facility AWR M1 Browse Data McMurdo Station Ross Ice Shelf, Antarctica; AMF2 MAO M1 Browse Data Browse Plots Manacapuru, Amazonas,...

  15. ARM - Instrument - tracegas

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

    Island, Azores, Portugal ARM Mobile Facility MAO S1 Browse Data Manacapuru, Amazonas, Brazil; MAOS PVC S1 Browse Data Browse Plots Highland Center, Cape Cod MA; MAOS retired...

  16. Measurement of the Auger parameter and Wagner plot for uranium compounds

    SciTech Connect (OSTI)

    Holliday, Kiel S.; Siekhaus, Wigbert; Nelson, Art J.

    2013-05-15

    In this study, the photoemission from the U 4f{sub 7/2} and 4d{sub 5/2} states and the U N{sub 6}O{sub 45}O{sub 45} and N{sub 67}O{sub 45}V x-ray excited Auger transitions were measured for a range of uranium compounds. The data are presented in Wagner plots and the Auger parameter is calculated to determine the utility of this technique in the analysis of uranium materials. It was demonstrated that the equal core-level shift assumption holds for uranium. It was therefore possible to quantify the relative relaxation energies, and uranium was found to have localized core-hole shielding. The position of compounds within the Wagner plot made it possible to infer information on bonding character and local electron density. The relative ionicity of the uranium compounds studied follows the trend UF{sub 4} > UO{sub 3} > U{sub 3}O{sub 8} > U{sub 4}O{sub 9}/U{sub 3}O{sub 7} Almost-Equal-To UO{sub 2} > URu{sub 2}Si{sub 2}.

  17. ARM - VAP Process - radfluxanal

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

    Productsradfluxanal 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 : Radiative Flux Analysis (RADFLUXANAL) Instrument Categories Derived Quantities and Models, Surface Meteorology, Radiometric sgpradflux1longC1.c2_OpPlot1.20140509.000000[1] The Radiative Flux Analysis VAP estimates clear-sky shortwave (SW) and longwave (LW) surface fluxes.

  18. Multifractional analysis and simulation of the global meteorological network

    SciTech Connect (OSTI)

    Tessier, Y.; Lovejoy, S.; Schertzer, D.

    1994-12-01

    Taking the example of the meteorological measuring network, it is shown how the density of stations can be characterized by multifractral analysis techniques are applied (including new ones designed to take into account the spherical geometry) to systematically test the limitsand types of network multiscaling. These techniques start with a network density defined by grids or circles and proceed to systematically degrade their resolution (no a priori scaling assumptions are necessary). The multiscale is found to hold over roughly the range 20 000 to 200 km (limited by the finite number of stations-here about 8000). Special attention is paid to qualitative changes in the scaling behavior occurring at very low and high density regions that the authors argue are associated with multifractural phase transitions. It is argued that the density was produced by a universal multifractal process, and the three corresponding universal multifractal parameters are estimated. The minimum and maximum orders of singularities present in the network are estimated, as well as the minimum- and maximum-order statistical moments that can be reliably estimated. The results are then used to simulate the effects of the finite number of stations on a network with the same statistical properties, and hence to quantitatively show that the observed breaks in the multiscaling can be accounted for by the finiteness. A growing number of geophysical fields have been shown to exhibit multiscaling properties over various ranges, and in this paper it is discussed how the bias introduced by the network clustering can be removed by new `multifractal objective analysis` procedures.

  19. ARM - Datastreams - isssonde

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

    Datastreamsisssonde Documentation XDC documentation Data Quality Plots Citation DOI: 10.5439/1046191 [ 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 : ISSSONDE Integrated Sounding System (ISS): meteorological data vertical profile Active Dates 1996.09.17 - 2002.05.10 Measurement Categories Atmospheric State Originating Instrument Integrated Sounding System (ISSSONDE)

  20. ARM - Datastreams - isssonde10s

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

    Datastreamsisssonde10s Documentation XDC documentation Data Quality Plots Citation DOI: 10.5439/1046192 [ 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 : ISSSONDE10S Integrated Sounding System (ISS): meteorological data vertical profile, 10-s resolution Active Dates 1996.03.01 - 2002.05.14 Measurement Categories Atmospheric State Originating Instrument Integrated

  1. ARM - Datastreams - 05okm

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

    5okm Documentation XDC 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 : 05OKM Oklahoma Mesonet (OKM): 5-min averages, meteorological data from 111 stations Active Dates 1994.01.01 - 2016.08.30 Measurement Categories Atmospheric State, Radiometric Originating Instrument Oklahoma Mesonet (OKM) Description These data can only be distributed to ARM scientists. ARM scientists

  2. ARM - Datastreams - 10taomet165e0n

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

    e0n Documentation XDC 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 : 10TAOMET165E0N Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 0 N, 10-min avg Active Dates 1998.01.08 - 2002.11

  3. ARM - Datastreams - 10taomet165e2n

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

    n Documentation XDC 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 : 10TAOMET165E2N Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 2 N, 10-min avg Active Dates 1998.02.01 - 2004.07

  4. ARM - Datastreams - 10taomet165e8n

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

    n Documentation XDC 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 : 10TAOMET165E8N Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 8 N, 10-min avg Active Dates 1998.02.01 - 2004.07

  5. ARM - Datastreams - 10taomet165e8s

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

    s Documentation XDC 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 : 10TAOMET165E8S Tropical Atmosphere Ocean Buoys: meteorological data at 165 E, 8 S, 10-min avg Active Dates 1998.02.01 - 2003.11

  6. ARM - Datastreams - gms5hovmuller

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

    Datastreamsgms5hovmuller Documentation XDC 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 : GMS5HOVMULLER GMS-5: hovmuller diagram Active Dates 1996.10.01 - 2001.08.01 Originating Instrument Geostationary Meteorological Satellite (GMS) Measurements The measurements below provided by this product are those considered scientifically relevant. Measurement Variable Locations

  7. Plots and Figures from the Main Injector Neutrino Oscillation Search (MINOS) at Fermilab

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

    MINOS, or Main Injector Neutrino Oscillation Search, is an experiment at Fermilab designed to study the phenomena known as neutrino oscillations. It uses a beam of neutrino particles produced by the NuMI beamline facility - Neutrinos at the Main Injector. The beam of neutrinos is sent through the two MINOS detectors, one at Fermilab and one in the Soudan Mine in northern Minnesota. The Minos for Scientists page provides a link to the data plots that are available to the public and also provides explanations for some of the recent results of the experiment. Another links leads to a long listing of MINOS publications in refereed journals. Photo galleries are found by checking the links on the left menu.

  8. Dalitz-plot Analysis of B0 -> anti-D0 pi pi-

    SciTech Connect (OSTI)

    del Amo Sanchez, P.; Lees, J.P.; Poireau, V.; Prencipe, E.; Tisserand, V.; Garra Tico, J.; Grauges, E.; Martinelli, M.; Palano, A.; Pappagallo, M.; Eigen, G.; Stugu, B.; Sun, L.; Battaglia, M.; Brown, David Nathan; Hooberman, B.; Kerth, L.T.; Kolomensky, Yu.G.; Lynch, G.; Osipenkov, I.L.; Tanabe, T.; ,

    2010-08-25

    The authors report preliminary results from a study of the decay B{sup 0} {yields} {bar D}{sup 0}{pi}{sup +}{pi}{sup -} using a data sample of 470.9 {+-} 2.8 million B{bar B} events collected with the BABAR detector at the {Upsilon}(4S) resonance. Using the Dalitz-plot analysis technique, they find contributions from the intermediate resonances D*{sub 2}(2460){sup -}, D*{sub 0}(2400){sup -}, {rho}(770){sup 0} and f{sub 2}(1270) as well as a {pi}{sup +}{pi}{sup -} S-wave term, a {bar D}{sup 0}{pi}{sup -} nonresonant S-wave term and a virtual D*(2010) amplitude. They measure the branching fractions of the contributing decays.

  9. Interim report on the meteorological database. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V.; Simonen, C.A.; Burk, K.W.

    1993-01-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. An independent Technical Steering Panel (TSP) directs the project, which is being conducted by the Battelle, Pacific Northwest Laboratories in Richland, Washington. The goals of HEDR, as approved by the TSP, include dose estimates and determination of confidence ranges for these estimates. This letter report describes the current status of the meteorological database. The report defines the meteorological data available for use in climate model calculations, describes the data collection procedures and the preparation and control of the meteorological database. This report also provides an initial assessment of the data quality. The available meteorological data are adequate for atmospheric calculations. Initial checks of the data indicate the data entry accuracy meets the data quality objectives.

  10. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

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

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    2014-12-04

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  11. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

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

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  12. Performance and energy costs associated with scaling infrared heater arrays for warming field plots from 1 to 100 m

    SciTech Connect (OSTI)

    Kimball B. A.; Lewin K.; Conley, M. M.

    2012-04-01

    To study the likely effects of global warming on open-field vegetation, hexagonal arrays of infrared heaters are currently being used for low-stature (<1 m) plants in small ({le}3 m) plots. To address larger ecosystem scales, herein we show that excellent uniformity of the warming can be achieved using nested hexagonal and rectangular arrays. Energy costs depend on the overall efficiency (useable infrared energy on the plot per electrical energy in), which varies with the radiometric efficiency (infrared radiation out per electrical energy in) of the individual heaters and with the geometric efficiency (fraction of thermal radiation that falls on useable plot area) associated with the arrangement of the heaters in an array. Overall efficiency would be about 26% at 4 ms{sup -1} wind speed for a single hexagonal array over a 3-m-diameter plot and 67% for a 199-hexagon honeycomb array over a 100-m-diameter plot, thereby resulting in an economy of scale.

  13. Analysis of 2011 Meteorological Data from the Knolls Atomic Power Laboratory and Kesselring Site Operations Facilities

    SciTech Connect (OSTI)

    Aluzzi, F J

    2012-02-27

    Both the Knolls Atomic Power Laboratory (KAPL) in Schenectady, NY and the Kesselring Site Operations (KSO) facility near Ballston Spa, NY are required to estimate the effects of hypothetical emissions of radiological material from their respective facilities by the US Environmental Protection Agency (EPA), which regulates these facilities. An atmospheric dispersion model known as CAP88, which was developed and approved by the EPA for such purposes, is used by KAPL and KSO to meet this requirement. CAP88 calculations over a given time period are based on statistical data on the meteorological conditions for that period. Both KAPL and KSO have on-site meteorological towers which take atmospheric measurements at a frequency ideal for EPA regulatory model input. However, an independent analysis and processing of the meteorological data from each tower is required to derive a data set appropriate for use in the CAP88 model. The National Atmospheric Release Advisory Center (NARAC) was contracted by KAPL to process the on-site data for the calendar year 2011. The purpose of this document is to: (1) summarize the procedures used in the preparation/analysis of the 2011 meteorological data; and (2) document adherence of these procedures to the guidance set forth in 'Meteorological Monitoring Guidance for Regulatory Modeling Applications', EPA document - EPA-454/R-99-005 (EPA-454). This document outlines the steps in analyzing and processing meteorological data from the Knolls Atomic Power Laboratory and Kesselring Site Operations facilities into a format that is compatible with the steady state dispersion model CAP88. This process is based on guidance from the EPA regarding the preparation of meteorological data for use in regulatory dispersion models. The analysis steps outlined in this document can be easily adapted to process data sets covering time period other than one year. The procedures will need to be modified should the guidance in EPA-454 be updated or revised.

  14. Meteorological Integration for the Biological Warning and Incident Characterization (BWIC) System: General Guidance for BWIC Cities

    SciTech Connect (OSTI)

    Shaw, William J.; Wang, Weiguo; Rutz, Frederick C.; Chapman, Elaine G.; Rishel, Jeremy P.; Xie, YuLong; Seiple, Timothy E.; Allwine, K Jerry

    2007-02-16

    The U.S. Department of Homeland Security (DHS) is responsible for developing systems to detect the release of aerosolized bioagents in urban environments. The system that accomplishes this, known as BioWatch, is a robust first-generation monitoring system. In conjunction with the BioWatch detection network, DHS has also developed a software tool for cities to use to assist in their response when a bioagent is detected. This tool, the Biological Warning and Incident Characterization (BWIC) System, will eventually be deployed to all BioWatch cities to aid in the interpretation of the public health significance of indicators from the BioWatch networks. BWIC consists of a set of integrated modules, including meteorological models, that estimate the effect of a biological agent on a city’s population once it has been detected. For the meteorological models in BWIC to successfully calculate the distribution of biological material, they must have as input accurate meteorological data, and wind fields in particular. The purpose of this document is to provide guidance for cities to use in identifying sources of good-quality local meteorological data that BWIC needs to function properly. This process of finding sources of local meteorological data, evaluating the data quality and gaps in coverage, and getting the data into BWIC, referred to as meteorological integration, is described. The good news for many cities is that meteorological measurement networks are becoming increasingly common. Most of these networks allow their data to be distributed in real time via the internet. Thus, cities will often only need to evaluate the quality of available measurements and perhaps add a modest number of stations where coverage is poor.

  15. Thermochemical plots using JCZS2i piece-wise curve fits.

    SciTech Connect (OSTI)

    Miller, David L.; Schoof, Justin C.; Hobbs, Michael L.

    2013-10-01

    This report presents plots of specific heat, enthalpy, entropy, and Gibbs free energy for 1439 species in the JCZS2i database. Included in this set of species are 496 condensed-phase species and 943 gas-phase species. The gas phase species contain 80 anions and 112 cations for a total of 192 ions. The JCZS2i database is used in conjunction with the TIGER thermochemical code to predict thermodynamic states from ambient conditions to high temperatures and pressures. Predictions from the TIGER code using the JCZS2i database can be used in shock physics codes where temperatures may be as high as 20,000 K and ions may be present. Such high temperatures were not considered in the original JCZS database, and extrapolations made for these temperatures were unrealistic. For example, specific heat would sometimes go negative at high temperatures which fails the definition of specific heat. The JCZS2i database is a new version of the JCZS database that is being created to address these inaccuracies. The purpose of the current report is to visualize the high temperature extrapolations to insure that the specific heat, enthalpy, entropy, and Gibbs free energy predictions are reasonable up to 20,000 K.

  16. ARM - Instrument - nfov

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

    Plots Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired retired Originating instrument has been retired at this location...

  17. Fossil Fuel Carbon Dioxide Emissions Data and Data Plots from Project Vulcan

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

    Gurney, Kevin

    The Vulcan Project is a NASA/DOE funded effort under the North American Carbon Program (NACP) to quantify North American fossil fuel carbon dioxide (CO2) emissions at space and time scales much finer than has been achieved in the past. The purpose is to aid in quantification of the North American carbon budget, to support inverse estimation of carbon sources and sinks, and to support the demands posed by higher resolution CO2 observations (in situ and remotely sensed). The detail and scope of the Vulcan CO2 inventory has also made it a valuable tool for policymakers, demographers, social scientists and the public at large. The Vulcan project has achieved the quantification of the 2002 U.S. fossil fuel CO2 emissions at the scale of individual factories, powerplants, roadways and neighborhoods on an hourly basis. The entire inventory was built on a common 10 km x 10 km grid to facilitate atmospheric modeling. In addition to improvement in space and time resolution, Vulcan is quantified at the level of fuel type, economic sub-sector, and county/state identification. Explore the Vulcan website for the Vulcan gridded data, methodological details, publications, plots and analysis.[Taken from "About Project Vulcan" at http://www.purdue.edu/eas/carbon/vulcan/index.php]Also, see the peer-reviewed paper that provides a "core" description for this project: Gurney, K.R., D. Mendoza, Y. Zhou, M Fischer, S. de la Rue du Can, S. Geethakumar, C. Miller (2009) The Vulcan Project: High resolution fossil fuel combustion CO2 emissions fluxes for the United States, Environ. Sci. Technol., 43, doi:10.1021/es900,806c.

  18. Climatological summary of wind and temperature data for the Hanford Meteorology Monitoring Network

    SciTech Connect (OSTI)

    Glantz, C.S.; Schwartz, M.N.; Burk, K.W.; Kasper, R.B.; Ligotke, M.W.; Perrault, P.J.

    1990-09-01

    This document presents climatological summaries of wind and temperature data collected at the twenty-five monitoring stations operated by the Hanford Meteorology Monitoring Network. The climatological analyses presented here involve hourly averaged wind data collected over an 8-year period beginning in 1982 (fewer wind data are available for the several monitoring stations that began full-time operation after 1982) and hourly averaged air temperature data collected over 2-year period beginning in mid-1988. The tables and figures presented in this document illustrate the spatial and temporal variation of meteorological parameters across the Hanford Site and the surrounding areas. This information is useful for emergency response applications, routine meteorological forecasting, planning and scheduling operations, facility design, and environmental impact studies.

  19. Meteorological conditions during the winter validation study at Rocky Flats, Colorado: An overview

    SciTech Connect (OSTI)

    Hodgin, C.R.

    1991-11-06

    The objective for the Winter Validation Study was to gather field data for validation of the Terrain-Responsive Atmospheric Code (TRAC) under winter time meteorological conditions. Twelve tracer tests were conducted during a two-week period in February 1991. Each test lasted 12 hours, with releases of SF{sub 6} tracer from the Rocky Flats Plant near Golden, Colorado. The tests included ground-based and airborne sampling to 16 km from the release point. This presentation summarizes meteorological conditions during the testing period. Forty six viewgraphs are included.

  20. Data Plots from FNAL-E907: Main Injector Particle Production Experiment (MIPP)

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

    The Main Injector Particle Production Experiment (FNAL E-907, MIPP), situated in the Meson Center beamline at Fermilab, took data during the first half of 2005. MIPP was designed primarily as an experiment to measure and study in detail the dynamics associated with non-perturbative strong interactions. The primary physics motivation behind MIPP was to restart the study of non-perturbative QCD interactions, which constitute over 99% of the strong interaction cross section. The available data of that time were of poor quality and old and were not in easily accessible form. The Time Projection Chamber (TPC) [6] that was at the heart of the MIPP experiment represented the electronic equivalent of the bubble chamber with vastly superior data acquisition rates. It also digitized the charged tracks in three dimensions, obviating the need for track matching across stereo views. Coupled with the particle identification capability of MIPP, the data from MIPP was intended to add significantly to the knowledge base of non-perturbative QCD. One of the primary goals of MIPP was to verify a general scaling law of inclusive particle production that states that the ratio of a semi-inclusive cross section to an inclusive cross section involving the same particles is a function only of the missing mass squared (M2) of the system and not of the other two Mandelstam variables s and t, the center of mass energy squared and the momentum transfer squared, respectively. [Copied and edited from the following publication: The Main Injector Particle Production Experiment (MIPP) at Fermilab, Rajendran Raja, Institute of Physics (IOP) Publishing, Journal of Physics: Conference Series 9 (2005) 303 û 308, doi:10.1088/1742-6596/9/1/058 at www.iop.org/EJ/article/1742-6596/9/1/058/jpconf5_9_058.pdf] There are approximately 40 data plots available to the public from E907. A proposal to upgrade the MIPP experiment (E-P-960) has been deferred. See the MIPP homepage at http

  1. Key wintertime meteorological features of the Grand Canyon and the Colorado Plateaus Basin

    SciTech Connect (OSTI)

    Whiteman, C.D.; Allwine, K.J.

    1992-06-01

    In the winter of 1989--1990 a major meteorological and air pollution experiment was conducted in the Colorado Plateaus Basin (Richards et al., 1991). The focus of the experiment, conducted by Arizona's Soft River Project, was to investigate the influence of three 750-MW coal-fired power plant units at the Navajo Generating Station near Page, Arizona, on visibility at Grand Canyon National Park. As part of the meteorological experiment, surface and upper air data were collected from multiple sites within the basin. This data set is the most comprehensive meteorological data set ever collected within the region, and the purpose of this paper is to briefly summarize the key wintertime meteorological features of the Colorado Plateaus Basin and the Grand Canyon, through which the basin drains, using analyses of the Winter Visibility Study data. Our analyses focused primarily on thermally driven circulations within the basin and the Grand Canyon, but we also investigated the surface energy budget that drives these circulations and the interactions between the thermal circulations and the overlying synoptic-scale flows.

  2. Key wintertime meteorological features of the Grand Canyon and the Colorado Plateaus Basin

    SciTech Connect (OSTI)

    Whiteman, C.D.; Allwine, K.J.

    1992-06-01

    In the winter of 1989--1990 a major meteorological and air pollution experiment was conducted in the Colorado Plateaus Basin (Richards et al., 1991). The focus of the experiment, conducted by Arizona`s Soft River Project, was to investigate the influence of three 750-MW coal-fired power plant units at the Navajo Generating Station near Page, Arizona, on visibility at Grand Canyon National Park. As part of the meteorological experiment, surface and upper air data were collected from multiple sites within the basin. This data set is the most comprehensive meteorological data set ever collected within the region, and the purpose of this paper is to briefly summarize the key wintertime meteorological features of the Colorado Plateaus Basin and the Grand Canyon, through which the basin drains, using analyses of the Winter Visibility Study data. Our analyses focused primarily on thermally driven circulations within the basin and the Grand Canyon, but we also investigated the surface energy budget that drives these circulations and the interactions between the thermal circulations and the overlying synoptic-scale flows.

  3. THE NEW YORK MIDTOWN DISPERSION STUDY (MID-05) METEOROLOGICAL DATA REPORT.

    SciTech Connect (OSTI)

    REYNOLDS,R.M.; SULLIVAN, T.M.; SMITH, S.; CASSELLA, V.

    2007-01-01

    The New York City midtown dispersion program, MID05, examined atmospheric transport in the deep urban canyons near Rockefeller Center. Little is known about air flow and hazardous gas dispersion under such conditions, since previous urban field experiments have focused on small to medium sized cities with much smaller street canyons and examined response over a much larger area. During August, 2005, a series of six gas tracer tests were conducted and sampling was conducted over a 2 km grid. A critical component of understanding gas movement in these studies is detailed wind and meteorological information in the study zone. To support data interpretation and modeling, several meteorological stations were installed at street level and on roof tops in Manhattan. In addition, meteorological data from airports and other weather instrumentation around New York City were collected. This document describes the meteorological component of the project and provides an outline of data file formats for the different instruments. These data provide enough detail to support highly-resolved computational simulations of gas transport in the study zone.

  4. Use of Advanced Meteorological Model Output for Coastal Ocean Modeling in Puget Sound

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Khangaonkar, Tarang; Wang, Taiping

    2011-06-01

    It is a great challenge to specify meteorological forcing in estuarine and coastal circulation modeling using observed data because of the lack of complete datasets. As a result of this limitation, water temperature is often not simulated in estuarine and coastal modeling, with the assumption that density-induced currents are generally dominated by salinity gradients. However, in many situations, temperature gradients could be sufficiently large to influence the baroclinic motion. In this paper, we present an approach to simulate water temperature using outputs from advanced meteorological models. This modeling approach was applied to simulate annual variations of water temperatures of Puget Sound, a fjordal estuary in the Pacific Northwest of USA. Meteorological parameters from North American Region Re-analysis (NARR) model outputs were evaluated with comparisons to observed data at real-time meteorological stations. Model results demonstrated that NARR outputs can be used to drive coastal ocean models for realistic simulations of long-term water-temperature distributions in Puget Sound. Model results indicated that the net flux from NARR can be further improved with the additional information from real-time observations.

  5. Partial Support for the Federal Committee for Meteorological Services and Supporting Research

    SciTech Connect (OSTI)

    Williamson, Samuel P

    2012-04-30

    DOE E-link Report Number DOE/ER62778 1999-2012 Please see attached Final Technical Report (size too large to post here). Annual Products Provided to DOE: Federal Plan for Meteorological Services and Supporting Research; National Hurricane Operations Plan; Interdepartmental Hurricane Conference Summary Report. All reports and publications can be found on the OFCM website, www.ofcm.noaa.gov.

  6. Impact of incremental changes in meteorology on thermal compliance and power system operations

    SciTech Connect (OSTI)

    Miller, B.A.; Alavian, V.; Bender, M.D.

    1992-02-01

    The sensitivity of the TVA reservoir and power supply systems to extreme meteorology was evaluated using a series of mathematical models to simulate the relationship between incremental changes in meteorology, associated changes in water temperature, and power plant generation. Single variable analysis techniques were applied at selected TVA facilities for representative average and extreme weather conditions. In the analysis, base case simulations were first conducted for each representative year using observed meteorology (i.e., the no change condition). The impacts of changes in meteorology were subsequently analyzed by uniformly constant at their respective base case values. Project results are generally presented in terms of deviations from base case conditions for each representative year. Based on an analysis of natural flow and air temperature patterns at Chickamauga Dam, 1974 was selected to represent extreme cold-wet conditions; 1965 as reflecting average conditions; and 1986 as an example of an extremely hot-dry year. The extreme years (i.e., 1974 and 1986) were used to illustrate sensitivities beyond historical conditions; while the average year provided a basis for comparison. Observed reservoir conditions, such as inflows, dam releases, and reservoir elevations for each representative year, were used in the analysis and were assumed to remain constant in all simulations. Therefore, the Lake Improvement Plan (which was implemented in 1991) and its consequent effects on reservoir operations were not incorporated in the assessment. In the model simulations, computed water temperatures were based on vertically well-mixed conditions in the reservoirs.

  7. METEOROLOGICAL INFLUENCES ON VAPOR INCIDENTS IN THE 200 EAST & 200 WEST TANK FARMS FROM CY2001 THRU CY2004

    SciTech Connect (OSTI)

    FAUROTE, J.M.

    2004-09-30

    Investigation into the meteorological influences on vapor incidents in the tank farms to determine what, if any, meteorological influences contribute to the reporting of odors, smells, vapors, and other gases. Weather phenomena, specifically barometric pressure, and wind velocity and direction can potentially cause or exacerbate a vapor release within the farm systems.

  8. Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis

    SciTech Connect (OSTI)

    Vuichard, N.

    2015-07-13

    In this study, exchanges of carbon, water and energy between the land surface and the atmosphere are monitored by eddy covariance technique at the ecosystem level. Currently, the FLUXNET database contains more than 500 registered sites, and up to 250 of them share data (free fair-use data set). Many modelling groups use the FLUXNET data set for evaluating ecosystem models' performance, but this requires uninterrupted time series for the meteorological variables used as input. Because original in situ data often contain gaps, from very short (few hours) up to relatively long (some months) ones, we develop a new and robust method for filling the gaps in meteorological data measured at site level. Our approach has the benefit of making use of continuous data available globally (ERA-Interim) and a high temporal resolution spanning from 1989 to today. These data are, however, not measured at site level, and for this reason a method to downscale and correct the ERA-Interim data is needed. We apply this method to the level 4 data (L4) from the La Thuile collection, freely available after registration under a fair-use policy. The performance of the developed method varies across sites and is also function of the meteorological variable. On average over all sites, applying the bias correction method to the ERA-Interim data reduced the mismatch with the in situ data by 10 to 36 %, depending on the meteorological variable considered. In comparison to the internal variability of the in situ data, the root mean square error (RMSE) between the in situ data and the unbiased ERA-I (ERA-Interim) data remains relatively large (on average over all sites, from 27 to 76 % of the standard deviation of in situ data, depending on the meteorological variable considered). The performance of the method remains poor for the wind speed field, in particular regarding its capacity to conserve a standard deviation similar to the one measured at FLUXNET stations.

  9. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Milford, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  10. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); La Ola Lanai, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  11. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Los Angeles, California (Data)

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

    Stoffel, T.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  12. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Cedar City, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  13. Solar Resource & Meteorological Assessment Project (SOLRMAP): Observed Atmospheric and Solar Information System (OASIS); Tucson, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  14. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Kalaeloa Oahu, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  15. Solar Resource & Meteorological Assessment Project (SOLRMAP): Observed Atmospheric and Solar Information System (OASIS); Tucson, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    2010-11-03

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  16. Solar Resource & Meteorological Assessment Project (SOLRMAP): Sun Spot Two; Swink, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    2010-11-10

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  17. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Los Angeles, California (Data)

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

    Stoffel, T.; Andreas, A.

    2010-04-26

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  18. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Kalaeloa Oahu, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    2010-03-16

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  19. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); La Ola Lanai, Hawaii (Data)

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

    Wilcox, S.; Andreas, A.

    2009-07-22

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  20. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Milford, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    2010-07-14

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  1. Solar Resource & Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Cedar City, Utah (Data)

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

    Wilcox, S.; Andreas, A.

    2010-07-13

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  2. Solar Resource & Meteorological Assessment Project (SOLRMAP): Sun Spot Two; Swink, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  3. The meteorological monitoring audit, preventative maintenance and quality assurance programs at a former nuclear weapons facility

    SciTech Connect (OSTI)

    Maxwell, D.R.

    1995-12-31

    The purposes of the meteorological monitoring audit, preventative maintenance, and quality assurance programs at the Rocky Flats Environmental Technology Site (Site), are to (1) support Emergency Preparedness (EP) programs at the Site in assessing the transport, dispersion, and deposition of effluents actually or potentially released into the atmosphere by Site operations; and (2) provide information for onsite and offsite projects concerned with the design of environmental monitoring networks for impact assessments, environmental surveillance activities, and remediation activities. The risk from the Site includes chemical and radioactive emissions historically related to nuclear weapons component production activities that are currently associated with storage of large quantities of radionuclides (plutonium) and radioactive waste forms. The meteorological monitoring program provides information for site-specific weather forecasting, which supports Site operations, employee safety, and Emergency Preparedness operations.

  4. DOE-SC-ARM-TR-184 Aerosol Observing System Surface Meteorology_AOSMET_Handbook

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

    4 Aerosol Observing System Surface Meteorology Instrument Handbook J Kyrouac April 2016 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe

  5. Ewan O'Connor FMI (Finnish Meteorological Ins7tute), Helsinki, Finland

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

    5/16 Diagnosing boundary layer properties from remote-sensing observations Ewan O'Connor FMI (Finnish Meteorological Ins7tute), Helsinki, Finland University of Reading, Reading, UK Boundary Layer * Friction-only * Classical fluid dynamics * Atmospheric stability * Atmospheric * Include convection, cloud * Include coast, cities 3/15/16 What is a boundary layer? * Classical fluid dynamics: the layer in a nearly inviscid fluid next to a surface in which frictional drag associated with that surface

  6. Analysis of 2014 Meteorological Data from the Knolls Atomic Power Laboratory and Kesselring Site Operations Facilities

    SciTech Connect (OSTI)

    Aluzzi, Fernando J.

    2015-02-25

    Both the Knolls Atomic Power Laboratory (KAPL) in Schenectady, N.Y. and the Kesselring Site Operations (KSO) facility near Ballston Spa, N.Y. are required to estimate the effects of hypothetical emissions of radiological material from their respective facilities by the U.S. Environmental Protection Agency (EPA), which regulates both sites. An atmospheric dispersion model known as CAP88, which was developed and approved by the EPA for such purposes, is used by KAPL and KSO to meet this requirement. CAP88 calculations over a given time period are based on statistical data on the meteorological conditions for that period. Both KAPL and KSO have on-site meteorological towers which take atmospheric measurements at a frequency ideal for EPA regulatory model input. However, an independent analysis and processing of the meteorological data from each tower is required to derive a data set appropriate for use in the CAP88 model. The National Atmospheric Release Advisory Center (NARAC) was contracted by KAPL to process the on-site data for the calendar year 2014.

  7. Salt Repository Project site study plan for meteorology/air quality: Revision 1

    SciTech Connect (OSTI)

    Not Available

    1987-12-01

    The Site Study Plan for Meteorology/Air Quality describes a field program consisting of continuous measurements of wind speed and direction, temperature, humidity, dew point, and pressure neede for later modeling and dose calculations. These measurements will include upper level winds, vertical temperature structure, and vertical wind speed. All measurements will be made at a site located within the 9-m/sup 2/ site area but remote from the ESF. The SSP describes the need for each study; its design and design rationale; analysis, management, and use of data; schedule of field activities, organization of field personnel and sample management and quality assurance requirements. These studies will provide data needed to satisfy requirements contained in, or derived from, the Salt Repository Project Requirements Document. Although titled Meteorology/Air Quality, this SSP addresses only meteorology, as there are no air quality data needs in the SCP. A correction to the title will be made in a later revision. 27 refs., 6 figs., 3 tabs.

  8. Six- and three-hourly meteorological observations from 223 USSR stations

    SciTech Connect (OSTI)

    Razuvaev, V.N.; Apasova, E.B.; Martuganov, R.A.; Kaiser, D.P.

    1995-04-01

    This document describes a database containing 6- and 3-hourly meteorological observations from a 223-station network of the former Soviet Union. These data have been made available through cooperation between the two principal climate data centers of the United States and Russia: the National Climatic Data Center (NCDC), in Asheville, North Carolina, and the All-Russian Research Institute of Hydrometeorological Information -- World Data Centre (RIHMI-WDC) in Obninsk. Station records consist of 6- and 3-hourly observations of some 24 meteorological variables including temperature, weather type, precipitation amount, cloud amount and type, sea level pressure, relative humidity, and wind direction and speed. The 6-hourly observations extend from 1936 to 1965; the 3-hourly observations extend from 1966 through the mid-1980s (1983, 1984, 1985, or 1986; depending on the station). These data have undergone extensive quality assurance checks by RIHMI-WDC, NCDC, and the Carbon Dioxide Information Analysis Center (CDIAC). The database represents a wealth of meteorological information for a large and climatologically important portion of the earth`s land area, and should prove extremely useful for a wide variety of regional climate change studies. These data are available free of charge as a numeric data package (NDP) from CDIAC. The NDP consists of this document and 40 data files that are available via the Internet or on 8mm tape. The total size of the database is {approximately}2.6 gigabytes.

  9. 24 m meteorological tower data report period: January through December, 1996

    SciTech Connect (OSTI)

    Freeman, D.; Bowen, J.; Egami, R.; Coulombe, W.; Crow, D.; Cristani, B.; Schmidt, S.

    1997-12-01

    This report was prepared by the Desert Research Institute (DRI) for the US Department of Energy (DOE). It summarizes meteorological data collected at the 24 meter tower at the Nevada Test Site Hazardous Material Spill Center (HAZMAT) located at Frenchman Flat near Mercury, Nevada, approximately 75 miles northwest of Las Vegas, Nevada. The tower was originally installed in July, 1993 to characterize baseline conditions for an EPA sponsored experimental research program at the HAZMAT. This report presents results of the monitoring for January--December, 1996, providing: a status of the measurement systems during the report period and a summary of the meteorological conditions at the HAZMAT during the report period. The scope of the report is limited to summary data analyses and does not include extensive meteorological analysis. The tower was instrumented at 8 levels. Wind speed, wind direction, and temperature were measured at all 8 levels. Relative humidity was measured at 3 levels. Solar and net radiation were measured at 2 meters above the ground. Barometric pressure was measured at the base of the tower and soil temperature was measured near the base of the tower.

  10. Urban Dispersion Program MSG05 Field Study: Summary of Tracer and Meteorological Measurements

    SciTech Connect (OSTI)

    Allwine, K Jerry; Flaherty, Julia E.

    2006-08-09

    The Urban Dispersion Program is a multi-year project, funded by the U.S. Department of Homeland Security, to better understand the flow and dispersion of airborne contaminants through and around the deep street canyons of New York City. The first tracer and meteorological field study was a limited study conducted during March 2005 near the Madison Square Garden in midtown Manhattan. Six safe, inert, gaseous perfluorocarbon tracers were released simultaneously at five street-level locations during two experimental days. In addition to collecting tracer data, meteorological data were also collected. Brookhaven National Laboratory conducted the bulk of the tracer and meteorological field efforts with Pacific Northwest National Laboratory and Stevens Institute of Technology assisting by measuring the vertical profile of winds. The Environmental Protection Agency worked with Brookhaven National Laboratory in accomplishing the personal exposure component of the study. This report presents some results from this analysis. In general, different release locations showed vastly different plume footprints for tracer materials, and the situation was made very complex with upwind and/or crosswind transport of tracer near street-level for the different release locations. Overall wind speeds and directions upwind and over the city were generally constant throughout each of the two experimental periods.

  11. Filling the gaps in meteorological continuous data measured at FLUXNET sites with ERA-Interim reanalysis

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

    Vuichard, N.; Papale, D.

    2015-07-13

    In this study, exchanges of carbon, water and energy between the land surface and the atmosphere are monitored by eddy covariance technique at the ecosystem level. Currently, the FLUXNET database contains more than 500 registered sites, and up to 250 of them share data (free fair-use data set). Many modelling groups use the FLUXNET data set for evaluating ecosystem models' performance, but this requires uninterrupted time series for the meteorological variables used as input. Because original in situ data often contain gaps, from very short (few hours) up to relatively long (some months) ones, we develop a new and robustmore » method for filling the gaps in meteorological data measured at site level. Our approach has the benefit of making use of continuous data available globally (ERA-Interim) and a high temporal resolution spanning from 1989 to today. These data are, however, not measured at site level, and for this reason a method to downscale and correct the ERA-Interim data is needed. We apply this method to the level 4 data (L4) from the La Thuile collection, freely available after registration under a fair-use policy. The performance of the developed method varies across sites and is also function of the meteorological variable. On average over all sites, applying the bias correction method to the ERA-Interim data reduced the mismatch with the in situ data by 10 to 36 %, depending on the meteorological variable considered. In comparison to the internal variability of the in situ data, the root mean square error (RMSE) between the in situ data and the unbiased ERA-I (ERA-Interim) data remains relatively large (on average over all sites, from 27 to 76 % of the standard deviation of in situ data, depending on the meteorological variable considered). The performance of the method remains poor for the wind speed field, in particular regarding its capacity to conserve a standard deviation similar to the one measured at FLUXNET stations.« less

  12. NIMROD Visualizations Plot Gallery

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

    Sovinec, C. R. [Nimrod Team

    NIMROD solves the extended magnetohydrodynamic equations using: 1) Spectral finite element discretization in two dimensions, 2) Finite Fourier series in the third dimension, 3) Semi-implicit and implicit temporal discretization for the range of temporal scales found in fusion experiments, 4) Simulation particles for kinetic effects from a minority species of energetic ions, and 5) Integro-differential methods for kinetic effects from free-streaming. [copied from the NIMROD home page

  13. Congestion Heat Plot

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

    SFTFwaMJpNg

  14. Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP); Aurora, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has established a high quality solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  15. Solar Technology Acceleration Center (SolarTAC): Solar Resource & Meteorological Assessment Project (SOLRMAP); Aurora, Colorado (Data)

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

    Wilcox, S.; Andreas, A.

    2011-02-11

    Located in Colorado, near Denver International Airport, SolarTAC is a private, member-based, 74-acre outdoor facility where the solar industry tests, validates, and demonstrates advanced solar technologies. SolarTAC was launched in 2008 by a public-private consortium, including Midwest Research Institute (MRI). As a supporting member of SolarTAC, the U.S. Department of Energy's National Renewable Energy Laboratory (NREL) has established a high quality solar and meteorological measurement station at this location. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  16. Final report on the meteorological database, December 1944--1949. Hanford Environmental Dose Reconstruction Project

    SciTech Connect (OSTI)

    Stage, S.A.; Ramsdell, J.V. Jr.; Simonen, C.A.; Burk, K.W.; Berg, L.K.

    1993-11-01

    The Hanford Environmental Dose Reconstruction (HEDR) Project is estimating radiation doses that individuals may have received from operations at Hanford from 1944 to the present. A number of computer programs are being developed by the HEDR Project to estimate doses and confidence ranges associated with radionuclides transported through the atmosphere and the Columbia River. One computer program is the Regional Atmospheric Transport Code for Hanford Emissions Tracking (RATCHET). RATCHET combines release data with information on atmospheric conditions including wind direction and speed. The RATCHET program uses these data to produce estimates of time-integrated air concentrations and surface contamination. These estimates are used in calculating dose by the Dynamic EStimates of Concentrations And Radionuclides in Terrestrial EnvironmentS (DESCARTES) and the Calculations of Individual Doses from Environmental Radionuclides (CIDER) computer programs. This report describes the final status of the meteorological database used by RATCHET. Data collection procedures and the preparation and control of the meteorological database are described, along with an assessment of the data quality.

  17. ARM - Instrument - twrcam

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

    Data Highland Center, Cape Cod MA; AMF1 retired PYE M1 Browse Data Browse Plots Point Reyes, CA retired retired Originating instrument has been retired at this location...

  18. Study of CP Violation in Dalitz-Plot Analyses of B-Meson Decays to Three Kaons

    SciTech Connect (OSTI)

    Lindquist, Brian; /SLAC

    2012-02-15

    The Standard Model (SM) explains CP violation in terms of the CKM matrix. The BABAR experiment was designed mainly to test the CKM model in B decays. B decays that proceed through b {yields} s loop diagrams, of which B {yields} KKK decays are an example, are sensitive to new physics effects that could lead to deviations from the CKM predictions for CP violation. We present studies of CP violation in the decays B{sup +} {yields} K{sup +}K{sup -}K{sup +}, B{sup +} {yields} K{sub S}{sup 0}K{sub S}{sup 0}K{sup +}, and B{sup 0} {yields} K{sup +}K{sup -}K{sub S}{sup 0}, using a Dalitz plot amplitude analysis. These studies are based on approximately 470 million B{bar B} decays collected by BABAR at the PEP-II collider at SLAC. We perform measurements of time-dependent CP violation in B{sup 0} {yields} K{sup +}K{sup -}K{sub S}{sup 0}, including B{sup 0} {yields} {phi}K{sub S}{sup 0}. We measure a CP-violating phase {beta}{sub eff} ({phi}K{sub S}{sup 0}) = 0.36 {+-} 0.11 {+-} 0.04 rad., in agreement with the SM. This is the world's most precise measurement of this quantity. We also measure direct CP asymmetries in all three decay modes, including the direct CP asymmetry A{sub CP} ({phi}K{sup +}) = (12.8 {+-} 4.4 {+-} 1.3)%, which is 2.8 sigma away from zero. This measurement is in tension with the SM, which predicts an asymmetry of a few percent. We also study the resonant and nonresonant features in the B {yields} KKK Dalitz plots. We find that the hypothetical scalar f{sub X}(1500) resonance, introduced by prior analyses to explain an unknown peak in the m{sub KK} spectrum, cannot adequately describe the data. We conclude instead that the f{sub X}(1500) can be explained as the sum of the f{sub 0}(1500), f'{sub 2}(1525), and f{sub 0}(1710) resonances, removing the need for the hypothetical f{sub X}(1500). We also find that an exponential nonresonant model, used by previous analyses to describe the broad nonresonant feature seen in B {yields} KKK decays, cannot fully model

  19. A cosmological exclusion plot: towards model-independent constraints on modified gravity from current and future growth rate data

    SciTech Connect (OSTI)

    Taddei, Laura

    2015-02-01

    Most cosmological constraints on modified gravity are obtained assuming that the cosmic evolution was standard ΛCDM in the past and that the present matter density and power spectrum normalization are the same as in a ΛCDM model. Here we examine how the constraints change when these assumptions are lifted. We focus in particular on the parameter Y (also called G{sub eff}) that quantifies the deviation from the Poisson equation. This parameter can be estimated by comparing with the model-independent growth rate quantity fσ{sub 8}(z) obtained through redshift distortions. We reduce the model dependency in evaluating Y by marginalizing over σ{sub 8} and over the initial conditions, and by absorbing the degenerate parameter Ω{sub m,0} into Y. We use all currently available values of fσ{sub 8}(z). We find that the combination Y-circumflex =YΩ{sub m,0}, assumed constant in the observed redshift range, can be constrained only very weakly by current data, Y-circumflex =0.28{sub −0.23}{sup +0.35} at 68% c.l. We also forecast the precision of a future estimation of Y-circumflex in a Euclid-like redshift survey. We find that the future constraints will reduce substantially the uncertainty, Y-circumflex =0.30{sub −0.09}{sup +0.08} , at 68% c.l., but the relative error on Y-circumflex around the fiducial remains quite high, of the order of 30%. The main reason for these weak constraints is that Y-circumflex is strongly degenerate with the initial conditions, so that large or small values of Y-circumflex are compensated by choosing non-standard initial values of the derivative of the matter density contrast. Finally, we produce a forecast of a cosmological exclusion plot on the Yukawa strength and range parameters, which complements similar plots on laboratory scales but explores scales and epochs reachable only with large-scale galaxy surveys. We find that future data can constrain the Yukawa strength to within 3% of the Newtonian one if the range is around a few

  20. Candidate wind-turbine-generator site summarized meteorological data for December 1976-December 1981. [Program WIND listed

    SciTech Connect (OSTI)

    Sandusky, W.F.; Renne, D.S.; Hadley, D.L.

    1982-09-01

    Summarized hourly meteorological data for 16 of the original 17 candidate and wind turbine generator sites collected during the period from December 1976 through December 1981 are presented. The data collection program at some individual sites may not span this entire period, but will be contained within the reporting period. The purpose of providing the summarized data is to document the data collection program and provide data that could be considered representative of long-term meteorological conditions at each site. For each site, data are given in eight tables and a topographic map showing the location of the meteorological tower and turbine, if applicable. Use of information from these tables, along with information about specific wind turbines, should allow the user to estimate the potential for long-term average wind energy production at each site.

  1. Hanford Meteorological Station computer codes: Volume 2, The PROD computer code

    SciTech Connect (OSTI)

    Andrews, G.L.; Buck, J.W.

    1987-09-01

    At the end of each work shift (day, swing, and graveyard), the Hanford Meteorological Station (HMS), operated by Pacific Northwest Laboratory, issues a forecast of the 200-ft-level wind speed and direction and the weather for use at B Plant and PUREX. These forecasts are called production forecasts. The PROD computer code is used to archive these production forecasts and apply quality assurance checks to the forecasts. The code accesses an input file, which contains the previous forecast's date and shift number, and an output file, which contains the production forecasts for the current month. A data entry form consisting of 20 fields is included in the program. The fields must be filled in by the user. The information entered is appended to the current production monthly forecast file, which provides an archive for the production forecasts. This volume describes the implementation and operation of the PROD computer code at the HMS.

  2. THE APPLICATION OF AN EVOLUTIONARY ALGORITHM TO THE OPTIMIZATION OF A MESOSCALE METEOROLOGICAL MODEL

    SciTech Connect (OSTI)

    Werth, D.; O'Steen, L.

    2008-02-11

    We show that a simple evolutionary algorithm can optimize a set of mesoscale atmospheric model parameters with respect to agreement between the mesoscale simulation and a limited set of synthetic observations. This is illustrated using the Regional Atmospheric Modeling System (RAMS). A set of 23 RAMS parameters is optimized by minimizing a cost function based on the root mean square (rms) error between the RAMS simulation and synthetic data (observations derived from a separate RAMS simulation). We find that the optimization can be efficient with relatively modest computer resources, thus operational implementation is possible. The optimization efficiency, however, is found to depend strongly on the procedure used to perturb the 'child' parameters relative to their 'parents' within the evolutionary algorithm. In addition, the meteorological variables included in the rms error and their weighting are found to be an important factor with respect to finding the global optimum.

  3. Uses of upper-air meteorological data for air quality data analysis and modeling

    SciTech Connect (OSTI)

    Lindsey, C.G.; Dye, T.S.; Ray, S.E.; Roberts, P.T.

    1996-12-31

    A series of regional-scale field studies have been conducted in recent years to study meteorological and photochemical processes that lead to ozone episodes (periods of high ozone concentration) and other types of reduced air quality. An important component of these studies has been to increase the temporal and spatial resolution of aloft measurements of winds, temperatures, and related parameters over those provided by the twice-per-day National Weather Service (NWS) balloon sounding network. Supplemental upper-air stations deployed for these studies have been equipped with a variety of observing systems, including rawinsonde sounding systems, Doppler radar wind profilers, radio acoustic sounding systems (RASS, for temperature profiling), Doppler acoustic sounders (sodar), tethersondes, lidar, and aircraft-based measurements, among others. The upper-air data collected during these programs have been used.

  4. Efficacy of Aerosol-Cloud Interactions Under Varying Meteorological Conditions: Southern Great Plains Vs. Pt. Reyes

    SciTech Connect (OSTI)

    Dunn, M.; Schwartz, S.; Kim, B.-G.; Miller, M.; Liu, Y.; Min, Q.

    2008-03-10

    Several studies have demonstrated that cloud dynamical processes such as entrainment mixing may be the primary modulator of cloud optical properties in certain situations. For example, entrainment of dry air alters the cloud drop size distribution by enhancing drop evaporation. However, the effect of entrainment mixing and other forms or turbulence is still quite uncertain. Although these factors and aerosol-cloud interactions should be considered together when evaluating the efficacy of aerosol indirect effects, the underlying mechanisms appear to be dependent upon each other. In addition, accounting for them is impossible with the current understanding of aerosol indirect effect. Therefore, careful objective screening and analysis of observations are needed to determine the extent to which mixing related properties affect cloud optical properties, apart from the aerosol first indirect effect. This study addresses the role of aerosol-cloud interactions in the context of varying meteorological conditions based on ARM data obtained at the Southern Great Plains (SGP) site in Oklahoma and at Pt. Reyes, California. Previous analyses of the continental stratiform clouds at the SGP site have shown that the thicker clouds of high liquid water path (LWP) tend to contain sub adiabatic LWPs. These sub adiabatic LWPs, which result from active mixing processes, correspond to a lower susceptibility of the clouds to aerosol-cloud interactions, and, hence, to reduced aerosol indirect effects. In contrast, the consistently steady and thin maritime stratus clouds observed at Pt. Reyes are much closer to adiabatic. These clouds provide an excellent benchmark for the study of the aerosol influence on modified marine clouds relative to continental clouds, since they form in a much more homogeneous meteorological environment than those at the continental site.

  5. Effects of downscaled high-resolution meteorological data on the PSCF identification of emission sources

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

    Cheng, Meng -Dawn; Kabela, Erik D.

    2016-04-30

    The Potential Source Contribution Function (PSCF) model has been successfully used for identifying regions of emission source at a long distance in this study, the PSCF model relies on backward trajectories calculated by the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model. In this study, we investigated the impacts of grid resolution and Planetary Boundary Layer (PBL) parameterization (e.g., turbulent transport of pollutants) on the PSCF analysis. The Mellor-Yamada-Janjic (MYJ) and Yonsei University (YUS) parameterization schemes were selected to model the turbulent transport in the PBL within the Weather Research and Forecasting (WRF version 3.6) model. Two separate domain grid sizesmore » (83 and 27 km) were chosen in the WRF downscaling in generating the wind data for driving the HYSPLIT calculation. The effects of grid size and PBL parameterization are important in incorporating the influ- ence of regional and local meteorological processes such as jet streaks, blocking patterns, Rossby waves, and terrain-induced convection on the transport of pollutants by a wind trajectory. We found high resolution PSCF did discover and locate source areas more precisely than that with lower resolution meteorological inputs. The lack of anticipated improvement could also be because a PBL scheme chosen to produce the WRF data was only a local parameterization and unable to faithfully duplicate the real atmosphere on a global scale. The MYJ scheme was able to replicate PSCF source identification by those using the Reanalysis and discover additional source areas that was not identified by the Reanalysis data. In conclusion, a potential benefit for using high-resolution wind data in the PSCF modeling is that it could discover new source location in addition to those identified by using the Reanalysis data input.« less

  6. Regional analysis of non-methane hydrocarbons and meteorology of the rural southeast United States

    SciTech Connect (OSTI)

    Hagerman, L.M.

    1996-11-01

    Measurements of non-methane hydrocarbons, as well as ozone, meteorological and trace gas data, were made at four rural sites located within the southeastern United States as a part of the Southern Oxidants Study. Fifty-six C2-C10 hydrocarbons were collected from 1200-1300 local time, once every six days from September 1992 through October 1993. The measurements were made in an effort to enhance the understanding of the behavior and trends of ozone and other photochemical oxidants in this region. The light molecular weight alkanes (ethane, propane, n-butane, iso-butane), ethene and acetylene display a seasonal variation with a winter maximum and summer minimum. Isoprene was virtually non-existent during the winter at all sites, and averaged from 9.8 ppbC (Yorkville, GA) to 21.15 ppbC (Centreville, AL) during the summer. The terpene concentration was greatest in the summer with averages ranging between 3.19 ppbC (Centreville, AL) to 6.38 ppbC (Oak Grove, MS), but was also emitted during the winter months, with a range of 1.25 to 1.9 ppbC for all sites. Propylene-equivalent concentrations were calculated to account for differences in reaction rates between the hydroxyl radical and individual hydrocarbons, and to thereby estimate their relative contribution to ozone, especially in regards to the highly reactive biogenic compounds such as isoprene. It was calculated that biogenics represent at least 65% of the total non-methane hydrocarbon sum at these four sites during the summer season when considering propylene-equivalent concentrations. An ozone episode which occurred from July 20 to July 24 1993 was used as an example to show ozone profiles at each of the sites, and to show the effect of synoptic meteorology on high ozone by examining NOAA daily weather maps and climatic data.

  7. ARM - Datastreams - 15okm

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

    5okm Documentation XDC 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 : 15OKM Oklahoma Mesonet (OKM): 15-min averages, meteorological data from 111 stations Active Dates 1970.01.01 - 2016.08.30 Measurement Categories Surface Properties Originating Instrument Oklahoma Mesonet (OKM) Description These data can only be distributed to ARM scientists. ARM scientists who obtain

  8. ARM - Datastreams - 30okm

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

    okm Documentation XDC 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 : 30OKM Oklahoma Mesonet (OKM): meteorological data from 111 stations, 30-min avg Active Dates 1998.01.01 - 2016.08.30 Measurement Categories Surface Properties Originating Instrument Oklahoma Mesonet (OKM) Description These data can only be distributed to ARM scientists. ARM scientists who obtain these

  9. Tonopah Test Range Air Monitoring: CY2012 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Mizell, Steve A; Nikolich, George; Shadel, Craig; McCurdy, Greg; Miller, Julianne J

    2013-07-01

    In 1963, the Atomic Energy Commission (AEC), predecessor to the US Department of Energy (DOE), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range (NAFR)). Operation Roller Coaster consisted of four tests in which chemical explosions were detonated in the presence of nuclear devices to assess the dispersal of radionuclides and evaluate the effectiveness of storage structures to contain the ejected radionuclides. These tests resulted in dispersal of plutonium over the ground surface downwind of the test ground zero. Three tests, Clean Slate 1, 2, and 3, were conducted on the TTR in Cactus Flat; the fourth, Double Tracks, was conducted in Stonewall Flat on the NTTR. DOE is working to clean up and close all four sites. Substantial cleaned up has been accomplished at Double Tracks and Clean Slate 1. Cleanup of Clean Slate 2 and 3 is on the DOE planning horizon for some time in the next several years. The Desert Research Institute installed two monitoring stations, number 400 at the Sandia National Laboratories Range Operations Center and number 401 at Clean Slate 3, in 2008 and a third monitoring station, number 402 at Clean Slate 1, in 2011 to measure radiological, meteorological, and dust conditions. The primary objectives of the data collection and analysis effort are to (1) monitor the concentration of radiological parameters in dust particles suspended in air, (2) determine whether winds are re-distributing radionuclides or contaminated soil material, (3) evaluate the controlling meteorological conditions if wind transport is occurring, and (4) measure ancillary radiological, meteorological, and environmental parameters that might provide insight to the above assessments. The following observations are based on data collected during CY2012. The mean annual concentration of gross alpha and gross beta is highest at Station 400 and lowest at Station

  10. Meteorological measurements in the vicinity of a coal burning power plant

    SciTech Connect (OSTI)

    Crescenti, G.H.; Gaynor, J.E.

    1995-05-01

    High concentrations of sulfur dioxide (SO2) are commonly observed during the cool season in the vicinity of a 2.5 GW coal burning power plant located in the Mae Moh Valley of northern Thailand. The power plant is the source for nearly all of the observed SO2 since there are no other major industrial activities in this region. These high pollution fumigation events occur almost on a daily basis, usually lasting for several hours between late morning and early afternoon. One-hour average SO2 concentrations commonly exceed 1,000 micrograms/cu m. As a result, an increase in the number of respiratory type health complaints have been observed by local clinics during this time of the year. Meteorological data were acquired from a variety of observing platforms during an intensive field study from December 1993 to February 1994. The measurements included horizontal and vertical wind velocity, air temperature, relative humidity, and solar radiation. In addition, turbulent flux measurements were acquired by a sonic anemometer. SO2 measurements were made at seven monitoring sites scattered throughout the valley. These data were used to examine the atmospheric processes which are responsible for these high pollution fumigation events.

  11. Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Escalante Tri-State - Prewitt, New Mexico (Data)

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

    Wilcox, S.; Andreas, A.

    2012-11-03

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  12. Solar Resource and Meteorological Assessment Project (SOLRMAP): Rotating Shadowband Radiometer (RSR); Escalante Tri-State - Prewitt, New Mexico (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  13. Interim remedial action work plan for the cesium plots at Waste Area Grouping 13 at Oak Ridge National Laboratory, Oak Ridge, Tennessee

    SciTech Connect (OSTI)

    Not Available

    1993-07-01

    This remedial action work plan (RAWP) is issued under the Federal Facility Agreement to provide a basic approach for implementing the interim remedial action (IRA) described in Interim Record of Decision for the Oak Ridge National Laboratory Waste Area Grouping 13 Cesium Plots, Oak Ridge, Tennessee. This RAWP summarizes the interim record of decision (IROD) requirements and establishes the strategy for the implementation of the field activities. As documented in the IROD document, the primary goal of this action is to reduce the risk to human health and the environment resulting from current elevated levels of gamma radiation on the site and at areas accessible to the public adjacent to the site. The major steps of this IRA are to: Excavate cesium-contaminated soil; place the excavated soils in containers and transport to Waste Area Grouping (WAG) 6; and backfill excavated plots with clean fill materials. The actual remedial action will be performed by Department of Energy prime contractor, MK-Ferguson of Oak Ridge Company. Remediation of the cesium plots will require approximately 60 days to complete. During this time, all activities will be performed according to this RAWP and the applicable specifications, plans, and procedures referred to in this document. The IRA on WAG 13 will prevent a known source of cesium-contaminated soil from producing elevated levels of gamma radiation in areas accessible to the public, eliminate sources of contamination to the environment, and reduce the risks associated with surveillance and maintenance of the WAG 13 site.

  14. ARM - Datastreams - mettwr

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

    Datastreamsmettwr Documentation Data Quality Plots Citation DOI: 10.54391046207 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  15. ARM - Datastreams - mplpol

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

    Datastreamsmplpol Documentation Data Quality Plots Citation DOI: 10.54391025245 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  16. ARM - Datastreams - kasacrspeccmaskxpol

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

    Datastreamskasacrspeccmaskxpol Documentation Data Quality Plots Citation DOI: 10.54391095598 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  17. ARM - Datastreams - kasacrspeccmaskcopol

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

    Datastreamskasacrspeccmaskcopol Documentation Data Quality Plots Citation DOI: 10.54391095597 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  18. ARM - Datastreams - mmcrcal

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

    Datastreamsmmcrcal Documentation Data Quality Plots Citation DOI: 10.54391025227 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  19. ARM - Datastreams - nfov

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

    Datastreamsnfov Documentation Data Quality Plots Citation DOI: 10.54391025256 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  20. ARM - Datastreams - mplps

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

    Datastreamsmplps Documentation Data Quality Plots Citation DOI: 10.54391025247 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  1. ARM - Datastreams - mmcrmoments

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

    Datastreamsmmcrmoments Documentation Data Quality Plots Citation DOI: 10.54391025230 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  2. ARM - Datastreams - mmcrspeccmaskbl

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

    Datastreamsmmcrspeccmaskbl Documentation Data Quality Plots Citation DOI: 10.54391025234 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  3. ARM - Datastreams - nimfr

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

    Datastreamsnimfr Documentation Data Quality Plots Citation DOI: 10.54391025258 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  4. ARM - Datastreams - navgps

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

    Datastreamsnavgps Documentation Data Quality Plots Citation DOI: 10.54391150248 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  5. ARM - Datastreams - mmcrspeccmaskci

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

    Datastreamsmmcrspeccmaskci Documentation Data Quality Plots Citation DOI: 10.54391025235 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  6. ARM - Datastreams - kazrspeccmaskcixpol

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

    Datastreamskazrspeccmaskcixpol Documentation Data Quality Plots Citation DOI: 10.54391025217 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  7. ARM - Datastreams - kazrspeccmaskcicopol

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

    Datastreamskazrspeccmaskcicopol Documentation Data Quality Plots Citation DOI: 10.54391025216 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  8. ARM - Datastreams - mmcrspeccmaskge

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

    Datastreamsmmcrspeccmaskge Documentation Data Quality Plots Citation DOI: 10.54391025237 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  9. ARM - Datastreams - org

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

    Datastreamsorg Documentation Data Quality Plots Citation DOI: 10.54391046212 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  10. ARM - Datastreams - mettiptwr

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

    Datastreamsmettiptwr Documentation Data Quality Plots Citation DOI: 10.54391046206 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  11. ARM - Datastreams - kazrspeccmaskblxpol

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

    Datastreamskazrspeccmaskblxpol Documentation Data Quality Plots Citation DOI: 10.54391046205 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  12. ARM - Datastreams - kazrspeccmaskblcopol

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

    Datastreamskazrspeccmaskblcopol Documentation Data Quality Plots Citation DOI: 10.54391046204 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would...

  13. ARM - VAP Product - ndropmfrsr

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

    Productsndropndropmfrsr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391179820 What is this? Generate Citation ARM Data Discovery Browse Data...

  14. ARM - Datastreams - twrcam40m

    Office of Scientific and Technical Information (OSTI)

    Datastreamstwrcam40m Documentation Data Quality Plots Citation DOI: 10.54391025312 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  15. ARM - VAP Product - mmcrmode02v0071cloth

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

    71cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027312 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We...

  16. ARM - VAP Product - aerich2nf1turn

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

    Productsaerinfaerich2nf1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027273 What is this? Generate Citation ARM Data Discovery Browse...

  17. ARM - VAP Product - 30twrmr

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

    Productstwrmr30twrmr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027269 What is this? Generate Citation ARM Data Discovery Browse Data...

  18. ARM - VAP Product - mmcrmode01v0101cloth

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

    101cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027306 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We...

  19. ARM - VAP Product - 15swfanalskyrad1long

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

    swfanalskyrad1long Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027260 What is this? Generate Citation ARM Data Discovery Browse Data...

  20. ARM - VAP Product - mplpolavg

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

    Productsmplavgmplpolavg Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027366 What is this? Generate Citation ARM Data Discovery Browse Data...

  1. ARM - VAP Product - 1swfanalskyrad1long

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

    swfanalskyrad1long Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027266 What is this? Generate Citation ARM Data Discovery Browse Data...

  2. ARM - VAP Product - 10rlprofext1ferr

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

    rlprofext1ferr Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027253 What is this? Generate Citation ARM Data Discovery Browse Data Comments?...

  3. ARM - VAP Product - mmcrmode04v0041cloth

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

    41cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027324 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We...

  4. ARM - VAP Product - mplcmask1cloth

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

    Productsarsclmplcmask1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027364 What is this? Generate Citation ARM Data Discovery Browse...

  5. ARM - VAP Product - mplsmask1cloth

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

    Productsarsclmplsmask1cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027368 What is this? Generate Citation ARM Data Discovery Browse...

  6. ARM - VAP Product - 1swfanalbrs1long

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

    swfanalbrs1long Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027263 What is this? Generate Citation ARM Data Discovery Browse Data...

  7. ARM - VAP Product - 15swfanalbrs1long

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

    swfanalbrs1long Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027256 What is this? Generate Citation ARM Data Discovery Browse Data...

  8. ARM - VAP Product - aerich1nf1turn

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

    Productsaerinfaerich1nf1turn Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027272 What is this? Generate Citation ARM Data Discovery Browse...

  9. ARM - VAP Product - mplcbh1scott

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

    Productsmplcbhmplcbh1scott Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027363 What is this? Generate Citation ARM Data Discovery Browse...

  10. ARM - VAP Product - 1mwravg

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

    Productsmwravg1mwravg Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027261 What is this? Generate Citation ARM Data Discovery Browse Data...

  11. ARM - VAP Product - mmcrmode03v0091cloth

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

    91cloth Documentation Data Management Facility Plots (Quick Looks) Citation DOI: 10.54391027319 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We...

  12. ARM - Datastreams - 50rwptempmom

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

    rwptempmom Documentation Data Quality Plots ARM Data Discovery Browse Data Comments? We ... Radar Doppler Spectral width ms; 100*%, see comment specw ( time, height ) Acoustic ...

  13. ARM - Datastreams - 1290rwpwindspec

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

    rwpwindspec Documentation Data Quality Plots Citation DOI: 10.54391024897 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  14. ARM - Datastreams - aerich2

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

    Datastreamsaerich2 Documentation Data Quality Plots Citation DOI: 10.54391025144 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  15. ARM - Datastreams - csphotpfn1

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

    Datastreamscsphotpfn1 Documentation Data Quality Plots Citation DOI: 10.54391025177 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  16. ARM - Datastreams - iap

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

    Datastreamsiap Documentation Data Quality Plots Citation DOI: 10.54391140212 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  17. ARM - Datastreams - brs60s

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

    Datastreamsbrs60s Documentation Data Quality Plots Citation DOI: 10.54391025162 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  18. ARM - Datastreams - csphotalm1dubo

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

    Datastreamscsphotalm1dubo Documentation Data Quality Plots Citation DOI: 10.54391025173 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  19. ARM - Datastreams - aosacsm

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

    Datastreamsaosacsm Documentation Data Quality Plots Citation DOI: 10.54391046180 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  20. ARM - Datastreams - 02wsipartradmpg

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

    wsipartradmpg Documentation Data Quality Plots Citation DOI: 10.54391025028 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  1. ARM - Datastreams - 1smos

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

    smos Documentation Data Quality Plots Citation DOI: 10.54391025034 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  2. ARM - Datastreams - kasacrcrcal

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

    Datastreamskasacrcrcal Documentation Data Quality Plots Citation DOI: 10.54391095595 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  3. ARM - Datastreams - kasacrblrhi

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

    Datastreamskasacrblrhi Documentation Data Quality Plots Citation DOI: 10.54391046194 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  4. ARM - Datastreams - 1290rwpwindmom

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

    rwpwindmom Documentation Data Quality Plots Citation DOI: 10.54391025032 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  5. ARM - Datastreams - ceilpblht

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

    Datastreamsceilpblht Documentation Data Quality Plots Citation DOI: 10.54391095593 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  6. ARM - Datastreams - 915rwptemp

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

    rwptemp Documentation Data Quality Plots Citation DOI: 10.54391025130 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  7. ARM - Datastreams - 6sprpfrsr

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

    sprpfrsr Documentation Data Quality Plots Citation DOI: 10.54391095577 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  8. ARM - Datastreams - aosozone

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

    Datastreamsaosozone Documentation Data Quality Plots Citation DOI: 10.54391025156 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  9. ARM - Datastreams - aoshtdma

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

    Datastreamsaoshtdma Documentation Data Quality Plots Citation DOI: 10.54391095581 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  10. ARM - Datastreams - gvrp

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

    Datastreamsgvrp Documentation Data Quality Plots Citation DOI: 10.54391025199 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  11. ARM - Datastreams - 30ecor

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

    ecor Documentation Data Quality Plots Citation DOI: 10.54391025039 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  12. ARM - Datastreams - gndrad60s

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

    Datastreamsgndrad60s Documentation Data Quality Plots Citation DOI: 10.54391025192 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  13. ARM - Datastreams - aoscpc

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

    Datastreamsaoscpc Documentation Data Quality Plots Citation DOI: 10.54391025152 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  14. ARM - Datastreams - aosmet

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

    Datastreamsaosmet Documentation Data Quality Plots Citation DOI: 10.54391025153 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  15. ARM - Datastreams - blcprof

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

    Datastreamsblcprof Documentation Data Quality Plots Citation DOI: 10.54391025159 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  16. ARM - Datastreams - aosnephwet

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

    Datastreamsaosnephwet Documentation Data Quality Plots Citation DOI: 10.54391025155 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  17. ARM - Datastreams - disdrometer

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

    Datastreamsdisdrometer Documentation Data Quality Plots Citation DOI: 10.54391025181 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  18. ARM - Datastreams - csphotaotfilt

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

    Datastreamscsphotaotfilt Documentation Data Quality Plots Citation DOI: 10.54391025175 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  19. ARM - Datastreams - 30smos

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

    smos Documentation Data Quality Plots Citation DOI: 10.54391025121 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  20. ARM - Datastreams - csphotaot

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

    Datastreamscsphotaot Documentation Data Quality Plots Citation DOI: 10.54391025174 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  1. ARM - Datastreams - aosnephdry

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

    Datastreamsaosnephdry Documentation Data Quality Plots Citation DOI: 10.54391025154 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  2. ARM - Datastreams - kasacrcrrhi

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

    Datastreamskasacrcrrhi Documentation Data Quality Plots Citation DOI: 10.54391046195 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  3. ARM - Datastreams - brs

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

    Datastreamsbrs Documentation Data Quality Plots Citation DOI: 10.54391025160 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  4. ARM - Datastreams - 10wsipartradjpg

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

    wsipartradjpg Documentation Data Quality Plots Citation DOI: 10.54391025029 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  5. ARM - Datastreams - aossmpstrh

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

    Datastreamsaossmpstrh Documentation Data Quality Plots Citation DOI: 10.54391095584 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  6. ARM - Datastreams - 30co2flx4mmet

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

    mmet Documentation Data Quality Plots Citation DOI: 10.54391025037 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  7. ARM - Datastreams - csphotalm

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

    Datastreamscsphotalm Documentation Data Quality Plots Citation DOI: 10.54391025172 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  8. ARM - Datastreams - iapavg

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

    Datastreamsiapavg Documentation Data Quality Plots Citation DOI: 10.54391140213 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  9. ARM - Datastreams - csphotaotfiltqa

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

    Datastreamscsphotaotfiltqa Documentation Data Quality Plots Citation DOI: 10.54391025176 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  10. ARM - Datastreams - kasacrcwrhi

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

    Datastreamskasacrcwrhi Documentation Data Quality Plots Citation DOI: 10.54391046196 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  11. ARM - Datastreams - csaprvert

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

    Datastreamscsaprvert Documentation Data Quality Plots Citation DOI: 10.54390 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  12. ARM - Datastreams - aosuhsas

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

    Datastreamsaosuhsas Documentation Data Quality Plots Citation DOI: 10.54391095587 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  13. ARM - Datastreams - aerisummary

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

    Datastreamsaerisummary Documentation Data Quality Plots Citation DOI: 10.54391025146 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  14. ARM - Datastreams - cmh

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

    Datastreamscmh Documentation Data Quality Plots Citation DOI: 10.54391025165 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  15. ARM - Datastreams - csphotpp

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

    Datastreamscsphotpp Documentation Data Quality Plots Citation DOI: 10.54391025178 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  16. ARM - Datastreams - csphotsize

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

    Datastreamscsphotsize Documentation Data Quality Plots Citation DOI: 10.54391025179 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  17. ARM - Datastreams - kasacrcrraster

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

    Datastreamskasacrcrraster Documentation Data Quality Plots Citation DOI: 10.54391095596 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love...

  18. ARM - Datastreams - assistch2

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

    Datastreamsassistch2 Documentation Data Quality Plots Citation DOI: 10.54391095590 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  19. ARM - Datastreams - 1sprprad

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

    sprprad Documentation Data Quality Plots Citation DOI: 10.54391095574 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  20. ARM - Datastreams - co

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

    Datastreamsco Documentation Data Quality Plots Citation DOI: 10.54391025166 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  1. ARM - Datastreams - aos

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

    Datastreamsaos Documentation Data Quality Plots Citation DOI: 10.54391025147 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  2. ARM - Datastreams - ceil

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

    Datastreamsceil Documentation Data Quality Plots Citation DOI: 10.54391181954 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  3. ARM - Datastreams - aosaeth

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

    Datastreamsaosaeth Documentation Data Quality Plots Citation DOI: 10.54391095580 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  4. ARM - Datastreams - blc

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

    Datastreamsblc Documentation Data Quality Plots Citation DOI: 10.54391025158 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  5. ARM - Datastreams - aerich1

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

    Datastreamsaerich1 Documentation Data Quality Plots Citation DOI: 10.54391025143 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  6. ARM - Datastreams - 10wsipartradmpg

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

    wsipartradmpg Documentation Data Quality Plots Citation DOI: 10.54391025030 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  7. ARM - Datastreams - csaprsur

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

    Datastreamscsaprsur Documentation Data Quality Plots Citation DOI: 10.54391025170 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  8. ARM - Datastreams - 02wsipartradjpg

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

    wsipartradjpg Documentation Data Quality Plots Citation DOI: 10.54391025027 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from...

  9. ARM - Datastreams - assistch1

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

    Datastreamsassistch1 Documentation Data Quality Plots Citation DOI: 10.54391095589 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to...

  10. ARM - Datastreams - vdis

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

    Datastreamsvdis Documentation Data Quality Plots Citation DOI: 10.54391025315 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear...

  11. ARM - Datastreams - sondewrpr

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

    Datastreamssondewrpr Documentation XDC documentation Data Quality Plots Citation DOI: 10.54391150271 What is this? Generate Citation ARM Data Discovery Browse Data Comments?...

  12. 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: 10.54391150269 What is this? Generate Citation ARM Data Discovery Browse Data Comments?...

  13. ARM - Datastreams - mfrsr

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

    Datastreamsmfrsr Documentation Data Quality Plots Citation DOI: 10.54391023898 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear ...

  14. [A data collection program focused on hydrologic and meteorologic parameters in an Arctic ecosystem

    SciTech Connect (OSTI)

    Kane, D.

    1992-12-31

    The hydrologic cycle of an arctic watershed is dominated by such physical elements as snow, ice, permafrost, seasonally frozen soils, wide fluctuations in surface energy balance and phase change of snow and ice to water. At Imnavait basin, snow accumulation begins in September or early October and maximum snowpack water equivalent is reached just prior to the onset of ablation in mid May. No significant mid winter melt occurs in this basin. Considerable snowfall redistribution by wind to depressions and valley bottom is evident. Spring snowmelt on the North Slope of Alaska is the dominant hydrologic event of the year.This event provides most of the moisture for use by vegetation in the spring and early summer period. The mechanisms and timing of snowmelt are important factors in predicting runoff, the migrations of birds and large mammals and the diversity of plant communities. It is important globally due to the radical and abrupt change in the surface energy balance over vast areas. We were able to explore the trends and differences in the snowmelt process along a transect from the Brooks Range to the Arctic Coastal plain. Snowpack ablation was monitored at three sites. These data were analyzed along with meteorologic data at each site. The initiation of ablation was site specific being largely controlled by the complementary addition of energy from radiation and sensible heat flux. Although the research sites were only 115 km apart, the rates and mechanisms of snowmelt varied greatly. Usually, snowmelt begins at the mid-elevations in the foothills and progresses northerly toward the coast and southerly to the mountains. In the more southerly areas snowmelt progressed much faster and was more influenced by sensible heat advected from areas south of the Brooks Range. In contrast snowmelt in the more northerly areas was slower and the controlled by net radiation.

  15. [A data collection program focused on hydrologic and meteorologic parameters in an Arctic ecosystem

    SciTech Connect (OSTI)

    Kane, D.

    1992-01-01

    The hydrologic cycle of an arctic watershed is dominated by such physical elements as snow, ice, permafrost, seasonally frozen soils, wide fluctuations in surface energy balance and phase change of snow and ice to water. At Imnavait basin, snow accumulation begins in September or early October and maximum snowpack water equivalent is reached just prior to the onset of ablation in mid May. No significant mid winter melt occurs in this basin. Considerable snowfall redistribution by wind to depressions and valley bottom is evident. Spring snowmelt on the North Slope of Alaska is the dominant hydrologic event of the year.This event provides most of the moisture for use by vegetation in the spring and early summer period. The mechanisms and timing of snowmelt are important factors in predicting runoff, the migrations of birds and large mammals and the diversity of plant communities. It is important globally due to the radical and abrupt change in the surface energy balance over vast areas. We were able to explore the trends and differences in the snowmelt process along a transect from the Brooks Range to the Arctic Coastal plain. Snowpack ablation was monitored at three sites. These data were analyzed along with meteorologic data at each site. The initiation of ablation was site specific being largely controlled by the complementary addition of energy from radiation and sensible heat flux. Although the research sites were only 115 km apart, the rates and mechanisms of snowmelt varied greatly. Usually, snowmelt begins at the mid-elevations in the foothills and progresses northerly toward the coast and southerly to the mountains. In the more southerly areas snowmelt progressed much faster and was more influenced by sensible heat advected from areas south of the Brooks Range. In contrast snowmelt in the more northerly areas was slower and the controlled by net radiation.

  16. Tonopah Test Range Air Monitoring: CY2013 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Mizell, Steve A; Nikolich, George; Shadel, Craig; McCurdy, Greg; Etyemezian, Vicken; Miller, Julianne J

    2014-10-01

    In 1963, the U.S. Department of Energy (DOE) (formerly the Atomic Energy Commission [AEC]), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range). This test resulted in radionuclide-contaminated soils at Clean Slate I, II, and III. This report documents observations made during on-going monitoring of radiological, meteorological, and dust conditions at stations installed adjacent to Clean Slate I and Clean Slate III and at the TTR Range Operations Control center. The primary objective of the monitoring effort is to determine if winds blowing across the Clean Slate sites are transporting particles of radionuclide-contaminated soils beyond both the physical and administrative boundaries of the sites. Results for the calendar year (CY) 2013 monitoring include: (1) the gross alpha and gross beta values from the monitoring stations are approximately equivalent to the highest values observed during the CY2012 reporting at the surrounding Community Environmental Monitoring Program (CEMP) stations (this was the latest documented data available at the time of this writing); (2) only naturally occurring radionuclides were identified in the gamma spectral analyses; (3) the ambient gamma radiation measurements indicate that the average annual gamma exposure is similar at all three monitoring stations and periodic intervals of increased gamma values appear to be associated with storm fronts passing through the area; and (4) the concentrations of both resuspended dust and saltated sand particles generally increase with increasing wind speed. However, differences in the observed dust concentrations are likely due to differences in the soil characteristics immediately adjacent to the monitoring stations. Neither the resuspended particulate radiological analyses nor the ambient gamma radiation measurements suggest wind transport of radionuclide-contaminated soils.

  17. Tonopah Test Range Air Monitoring. CY2014 Meteorological, Radiological, and Airborne Particulate Observations

    SciTech Connect (OSTI)

    Nikoloch, George; Shadel, Craig; Chapman, Jenny; Mizell, Steve A.; McCurdy, Greg; Etyemezian, Vicken; Miller, Julianne J.

    2015-10-01

    In 1963, the U.S. Department of Energy (DOE) (formerly the Atomic Energy Commission [AEC]), implemented Operation Roller Coaster on the Tonopah Test Range (TTR) and an adjacent area of the Nevada Test and Training Range (NTTR) (formerly the Nellis Air Force Range). This test resulted in radionuclide-contaminated soils at Clean Slate I, II, and III. This report documents observations made during ongoing monitoring of radiological, meteorological, and dust conditions at stations installed adjacent to Clean Slate I and Clean Slate III and at the TTR Range Operations Control center. The primary objective of the monitoring effort is to determine if winds blowing across the Clean Slate sites are transporting particles of radionuclide-contaminated soils beyond both the physical and administrative boundaries of the sites. Results for the calendar year (CY) 2014 monitoring are: (1) the gross alpha and gross beta values from the monitoring stations are approximately equivalent to the highest values observed during the CY2014 reporting at the surrounding Community Environmental Monitoring Program (CEMP) stations; (2) only naturally occurring radionuclides were identified in the gamma spectral analyses; (3) the ambient gamma radiation measurements indicate that the average annual gamma exposure is similar at all three monitoring stations and periodic intervals of increased gamma values appear to be associated with storm fronts passing through the area; and (4) the concentrations of both resuspended dust and saltated sand particles generally increase with increasing wind speed. Differences in the observed dust concentrations are likely the result of differences in the soil characteristics immediately adjacent to the monitoring stations. Neither the resuspended particulate radiological analyses nor the ambient gamma radiation measurements suggest wind transport of radionuclide-contaminated soils.

  18. Candidate wind-turbine generator site cumulative meteorological data summary and data for January 1982 through September 1982

    SciTech Connect (OSTI)

    Sandusky, W.F.; Buck, J.W.; Renne, D.S.; Hadley, D.L.; Abbey, O.B.; Bradymire, S.L.; Gregory, J.L.

    1983-08-01

    Summarized cumulative hourly meteorological data for 20 new sites selected in early 1980 as part of the expanded candidate site program are presented. The reporting period is July 1980 through September 1982. The data collection program at some individual sites may not span this entire period, but will be contained within the reporting period. The purpose of providing the summarized data is to document the data collection program and to provide data that could be considered representative of longer-term meteorological conditions at each site. For each site, data are given in eight tables and in a topographic map showing the approximated location of the meteorological tower and turbine, if applicable. Use of the information from these tables, along with information about specific wind turbines, should allow the user to estimate the potential for longer-term average wind energy production at each site. Two appendices of other data are provided. Appendix A contains summarized data collected at new and original sites during the period January 1982 through September 1982. Appendix B contains cumulative summarized data for those original sites selected in 1976 with data collection programs continuing into 1982.

  19. Expected accuracy in a measurement of the CKM angle alpha using a Dalitz plot analysis of B0 ---> rho pi decays in the BTeV project

    SciTech Connect (OSTI)

    Shestermanov, K.E.; Vasiliev, A.N; Butler, J.; Derevschikov, A.A.; Kasper, P.; Kiselev, V.V.; Kravtsov, V.I.; Kubota, Y.; Kutschke, R.; Matulenko, Y.A.; Minaev, N.G.; /Serpukhov, IHEP /Fermilab /Minnesota U. /Syracuse U. /INFN, Milan

    2005-12-01

    A precise measurement of the angle {alpha} in the CKM triangle is very important for a complete test of Standard Model. A theoretically clean method to extract {alpha} is provided by B{sup 0} {yields} {rho}{pi} decays. Monte Carlo simulations to obtain the BTeV reconstruction efficiency and to estimate the signal to background ratio for these decays were performed. Finally the time-dependent Dalitz plot analysis, using the isospin amplitude formalism for tre and penguin contributions, was carried out. It was shown that in one year of data taking BTeV could achieve an accuracy on {alpha} better than 5{sup o}.

  20. DOE Research and Development Accomplishments Database Browse

    Office of Scientific and Technical Information (OSTI)

    J. J.; Sinclair, D.; Skensved, P.; Smith, M. W. E.; Sonley, T. J.; Steiger, T. D.; ... Simpson, D. Sinclair, P. Skensved, A. R. Smith, M. W. E. Smith, N. Starinsky, T. D. ...

  1. Browse Designations - DOE Directives, Delegations, and Requirements

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

    Accessibility Text size: (Requires JavaScript) Large Normal Small This site uses the Open Source Content Management System Plone and has been designed to be completely accessible and usable, working in accordance with the Web Content Accessibility Guidelines (WCAG v1.0). If there is anything on this site - accessibility or validation related - that is not according to the standard, please contact the Site Administration, and not the Plone Team. Access keys Access keys are a navigation device

  2. Browse Archived Directives - DOE Directives, Delegations, and...

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

    Issue Date Start date End date Subjects match any Administration Environment Finance Health Human Resources Information Technology Management and Operations Procurement Safety...

  3. Browse By Region | Open Energy Information

    Open Energy Info (EERE)

    (231) States (50) Congressional Districts (437) Counties (3142) Cities (27936) Clean Energy Economy Regions (7) Programs (1157) Tools (1669) Retrieved from "http:...

  4. Browse Archived Directives - DOE Directives, Delegations, and

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

    Requirements Accessibility Text size: (Requires JavaScript) Large Normal Small This site uses the Open Source Content Management System Plone and has been designed to be completely accessible and usable, working in accordance with the Web Content Accessibility Guidelines (WCAG v1.0). If there is anything on this site - accessibility or validation related - that is not according to the standard, please contact the Site Administration, and not the Plone Team. Access keys Access keys are a

  5. Meteorological and air quality impacts of increased urban albedo and vegetative cover in the Greater Toronto Area, Canada

    SciTech Connect (OSTI)

    Taha, Haider; Hammer, Hillel; Akbari, Hashem

    2002-04-30

    The study described in this report is part of a project sponsored by the Toronto Atmospheric Fund, performed at the Lawrence Berkeley National Laboratory, to assess the potential role of surface property modifications on energy, meteorology, and air quality in the Greater Toronto Area (GTA), Canada. Numerical models were used to establish the possible meteorological and ozone air-quality impacts of increased urban albedo and vegetative fraction, i.e., ''cool-city'' strategies that can mitigate the urban heat island (UHI), significantly reduce urban energy consumption, and improve thermal comfort, particularly during periods of hot weather in summer. Mitigation is even more important during critical heat wave periods with possible increased heat-related hospitalization and mortality. The evidence suggests that on an annual basis cool-city strategies are beneficial, and the implementation of such measures is currently being investigated in the U.S. and Canada. We simulated possible scenari os for urban heat-island mitigation in the GTA and investigated consequent meteorological changes, and also performed limited air-quality analysis to assess related impacts. The study was based on a combination of mesoscale meteorological modeling, Lagrangian (trajectory), and photochemical trajectory modeling to assess the potential meteorological and ozone air-quality impacts of cool-city strategies. As available air-quality and emissions data are incompatible with models currently in use at LBNL, our air-quality analysis was based on photochemical trajectory modeling. Because of questions as to the accuracy and appropriateness of this approach, in our opinion this aspect of the study can be improved in the future, and the air-quality results discussed in this report should be viewed as relatively qualitative. The MM5 meteorological model predicts a UHI in the order of 2 to 3 degrees C in locations of maxima, and about 1 degree C as a typical value over most of the urban area

  6. Green River air quality model development: meteorological and tracer data, July/August 1982 field study in Brush Valley, Colorado

    SciTech Connect (OSTI)

    Whiteman, C.D.; Lee, R.N.; Orgill, M.M.; Zak, B.D.

    1984-06-01

    Meteorological and atmospheric tracer studies were conducted during a 3-week period in July and August of 1982 in the Brush Creek Valley of northwestern Colorado. The objective of the field experiments was to obtain data to evaluate a model, called VALMET, developed at PNL to predict dispersion of air pollutants released from an elevated stack located within a deep mountain valley in the post-sunrise temperature inversion breakup period. Three tracer experiments were conducted in the valley during the 2-week period. In these experiments, sulfur hexafluoride (SF/sub 6/) was released from a height of approximately 100 m, beginning before sunrise and continuing until the nocturnal down-valley winds reversed several hours after sunrise. Dispersion of the sulfur hexafluoride after release was evaluated by measuring SF/sub 6/ concentrations in ambient air samples taken from sampling devices operated within the valley up to about 8 km down valley from the source. An instrumented research aircraft was also used to measure concentrations in and above the valley. Tracer samples were collected using a network of radio-controlled bag sampling stations, two manually operated gas chromatographs, a continuous SF/sub 6/ monitor, and a vertical SF/sub 6/ profiler. In addition, basic meteorological data were collected during the tracer experiments. Frequent profiles of vertical wind and temperature structure were obtained with tethered balloons operated at the release site and at a site 7.7 km down the valley from the release site. 10 references, 63 figures, 50 tables.

  7. CombinePlt and CombineThs user manual: Merging multiple, processor-local plot and time-history data bases produced during a parallel calculation. Revision 1

    SciTech Connect (OSTI)

    Procassini, R.J.; DeGroot, A.J.

    1995-09-21

    The CombinePlt and CombineThs post-processing utilities are designed to merge the data in multiple, processor-local plot and time-history data bases produced by the parallel versions of the analysis codes DYNA3D, NIKE3D or PING into a serial database which is compatible with the existing versions of the GRIZ and THUG visualization tools. These utilities make use of the partition assignment file produced by the PartMesh suite for pre-processing utilities to map the data from the processor-local order to global order. These utilities are also capable of translating 64-bit IEEE data bases into 32-bit IEEE data bases which are required for post-processing with GRIZ or THUG on an SGI workstation.

  8. CombinePlt and CombineThs user manual: Merging multiple, processor-local plot and time-history data bases produced during a parallel calculation

    SciTech Connect (OSTI)

    Procassini, R.J.; DeGroot, A.J.

    1995-06-01

    The CombinePlt and CombineThs post-processing utilities are designed to merge the data in multiple, processor-local plot and time-history data bases produced by the parallel versions of the analysis codes DYNA3D, NIKE3D or PING into a serial data base which is compatible with the existing versions of the GRIZ and THUG visualization tools. These utilities make use of the partition assignment file produced by the PartMesh suite of pre-processing utilities to map the data from the processor-local order to global order. These utilities are also capable of translating 64-bit IEEE data bases into 32-bit IEEE data bases which are required for post-processing with GRIZ or THUG on an SGI workstation.

  9. WIMP Dark Matter Limit-Direct Detection Data and Sensitivity Plots from the Cryogenic Dark Matter Search II and the University of California at Santa Barbara

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

    Expectations for non-baryonic dark matter are founded principally in Big Bang nucleosynthesis calculations, which indicate that the missing mass of the universe is not likely to be baryonic. The supersymmetric standard model (SUSY) offers a promising framework for expectations of particle species which could satisfy the observed properties of dark matter. WIMPs are the most likely SUSY candidate for a dark matter particle. The High Energy Physics Group at University of California, Santa Barbara, is part of the CDMSII Collaboration and have provided the Interactive Plotter for WIMP Dark Matter Limit-Direct Detection Data on their website. They invite other collaborations working on dark matter research to submit datasets and, as a result, have more than 150 data sets now available for use with the plotting tool. The published source of the data is provided with each data set.

  10. Performance of a new wind updating system for a prognostic meteorological model in the environs of Mexico City

    SciTech Connect (OSTI)

    Williams, M.D.

    1993-12-31

    Los Alamos National Laboratory and Institute Mexicano del Petroleo are completely a joint study of options for improving air quality in Mexico City. The US Department of Energy supported the efforts of the Los Alamos investigators, while PEMEX supported the efforts of the Mexican researchers. One of the first steps in the process was to develop an understanding of the existing air quality situation. In this context we have modified a three-dimensional, prognostic, higher order turbulence model for atmospheric circulation (HOTMAC) to treat domains which include an urbanized area. This sophisticated meteorological model is required because of the complexity of the terrain and the relative paucity of meteorological data. Mexico City lies at an elevation of approximately 7500 feet above sea level in a ``U`` shaped basin which opens to the north. The city occupies a major part of the southwest portion of the basin. Upper level winds are provided by rawinsondes at the airport, while low-level winds are measured at several sites within the city. Many of the sites have obstructed upwind fetches for a variety of directions. During the wintertime when the worst air quality episodes occur, the winds are frequently light, and out of the northeast at lower levels, while above 1000 meters above the surface they are usually from the southwest. This means the winds are light within the city, but significant slope winds develop which influence the behavior of the pollutants. Frequently, the winds in the basin change as a seabreeze penetrates the basin from the northeast. The seabreeze produces a much different wind regime after its arrival in the late afternoon or early evening. This makes it important to update the winds in a realistic fashion.

  11. First measurement of Φ₃ with a model-independent Dalitz plot analysis of B±→DK±, D→KS⁰π⁺π⁻ decay

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

    Aihara, H.; Arinstein, K.; Asner, D. M.; Aulchenko, V.; Aushev, T.; Bakich, A. M.; Belous, K.; Bhuyan, B.; Bischofberger, M.; Bondar, A.; et al

    2012-06-26

    We present the first measurement of the angle Φ₃ of the unitarity triangle using a model-independent Dalitz plot analysis of B±→DK±, D→KS⁰π⁺π⁻ decays. The method uses, as input, measurements of the strong phase of the D→K⁰Sπ⁺π⁻ amplitude from the CLEO Collaboration. The result is based on the full data set of 772×106 BB¯¯¯ pairs collected by the Belle experiment at the Υ(4S) resonance. We obtain Φ₃=(77.3+15.1–14.9±4.1±4.3)° and the suppressed amplitude ratio rB=0.145±0.030±0.010±0.011. Here the first error is statistical, the second is the experimental systematic uncertainty, and the third is the error due to the precision of the strong-phase parameters obtainedmore » by CLEO.« less

  12. Measurement of the I=1/2 KπS -wave amplitude from Dalitz plot analyses of ηc→KK¯π in two-photon interactions

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

    Lees, J. P.; Poireau, V.; Tisserand, V.; Grauges, E.; Palano, A.; Eigen, G.; Brown, D. N.; Kolomensky, Yu. G.; Koch, H.; Schroeder, T.; et al

    2016-01-20

    We study the processes γγ → K0SK ± π∓ and γγ → K+K₋π0 using a data sample of 519 fb₋1 recorded with the BABAR detector operating at the SLAC PEP-II asymmetric-energy e+e₋ collider at center-of-mass energies at and near the Υ(nS) (n = 2, 3, 4) resonances. We observe ηc decays to both final states and perform Dalitz plot analyses using a model-independent partial wave analysis technique. This allows a model-independent measurement of the mass-dependence of the I = 1/2 Kπ S-wave amplitude and phase. A comparison between the present measurement and those from previous experiments indicates similar behavior formore » the phase up to a mass of 1.5 GeV/c2. Finally, in contrast, the amplitudes show very marked differences. As a result, the data require the presence of a new a0 (1950) resonance with parameters m =1931 ± 14 ± 22 MeV/c2 and Γ= 271 ± 22 ± 29 MeV.« less

  13. Analysis/plot generation code with significance levels computed using Kolmogorov-Smirnov statistics valid for both large and small samples

    SciTech Connect (OSTI)

    Kurtz, S.E.; Fields, D.E.

    1983-10-01

    This report describes a version of the TERPED/P computer code that is very useful for small data sets. A new algorithm for determining the Kolmogorov-Smirnov (KS) statistics is used to extend program applicability. The TERPED/P code facilitates the analysis of experimental data and assists the user in determining its probability distribution function. Graphical and numerical tests are performed interactively in accordance with the user's assumption of normally or log-normally distributed data. Statistical analysis options include computation of the chi-square statistic and the KS one-sample test statistic and the corresponding significance levels. Cumulative probability plots of the user's data are generated either via a local graphics terminal, a local line printer or character-oriented terminal, or a remote high-resolution graphics device such as the FR80 film plotter or the Calcomp paper plotter. Several useful computer methodologies suffer from limitations of their implementations of the KS nonparametric test. This test is one of the more powerful analysis tools for examining the validity of an assumption about the probability distribution of a set of data. KS algorithms are found in other analysis codes, including the Statistical Analysis Subroutine (SAS) package and earlier versions of TERPED. The inability of these algorithms to generate significance levels for sample sizes less than 50 has limited their usefulness. The release of the TERPED code described herein contains algorithms to allow computation of the KS statistic and significance level for data sets of, if the user wishes, as few as three points. Values computed for the KS statistic are within 3% of the correct value for all data set sizes.

  14. Solar Resource & Meteorological Assessment Project (SOLRMAP): Southwest Solar Research Park (Formerly SolarCAT) Rotating Shadowband Radiometer (RSR); Phoenix, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    2010-09-27

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  15. Solar Resource & Meteorological Assessment Project (SOLRMAP): Southwest Solar Research Park (Formerly SolarCAT) Rotating Shadowband Radiometer (RSR); Phoenix, Arizona (Data)

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

    Wilcox, S.; Andreas, A.

    The U.S. Department of Energy's National Renewable Energy Laboratory collaborates with the solar industry to establish high quality solar and meteorological measurements. This Solar Resource and Meteorological Assessment Project (SOLRMAP) provides high quality measurements to support deployment of power projects in the United States. The no-funds-exchanged collaboration brings NREL solar resource assessment expertise together with industry needs for measurements. The end result is high quality data sets to support the financing, design, and monitoring of large scale solar power projects for industry in addition to research-quality data for NREL model development. NREL provides consultation for instrumentation and station deployment, along with instrument calibrations, data acquisition, quality assessment, data distribution, and summary reports. Industry participants provide equipment, infrastructure, and station maintenance.

  16. Improved Meteorological Input for Atmospheric Release Decision support Systems and an Integrated LES Modeling System for Atmospheric Dispersion of Toxic Agents: Homeland Security Applications

    SciTech Connect (OSTI)

    Arnold, E; Simpson, M; Larsen, S; Gash, J; Aluzzi, F; Lundquist, J; Sugiyama, G

    2010-04-26

    When hazardous material is accidently or intentionally released into the atmosphere, emergency response organizations look to decision support systems (DSSs) to translate contaminant information provided by atmospheric models into effective decisions to protect the public and emergency responders and to mitigate subsequent consequences. The Department of Homeland Security (DHS)-led Interagency Modeling and Atmospheric Assessment Center (IMAAC) is one of the primary DSSs utilized by emergency management organizations. IMAAC is responsible for providing 'a single piont for the coordination and dissemination of Federal dispersion modeling and hazard prediction products that represent the Federal position' during actual or potential incidents under the National Response Plan. The Department of Energy's (DOE) National Atmospheric Release Advisory Center (NARAC), locatec at the Lawrence Livermore National Laboratory (LLNL), serves as the primary operations center of the IMAAC. A key component of atmospheric release decision support systems is meteorological information - models and data of winds, turbulence, and other atmospheric boundary-layer parameters. The accuracy of contaminant predictions is strongly dependent on the quality of this information. Therefore, the effectiveness of DSSs can be enhanced by improving the meteorological options available to drive atmospheric transport and fate models. The overall goal of this project was to develop and evaluate new meteorological modeling capabilities for DSSs based on the use of NASA Earth-science data sets in order to enhance the atmospheric-hazard information provided to emergency managers and responders. The final report describes the LLNL contributions to this multi-institutional effort. LLNL developed an approach to utilize NCAR meteorological predictions using NASA MODIS data for the New York City (NYC) region and demonstrated the potential impact of the use of different data sources and data parameterizations on

  17. Influences of emission sources and meteorology on aerosol chemistry in a polluted urban environment: results from DISCOVER-AQ California

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

    Young, D. E.; Kim, H.; Parworth, C.; Zhou, S.; Zhang, X.; Cappa, C. D.; Seco, R.; Kim, S.; Zhang, Q.

    2015-12-15

    The San Joaquin Valley (SJV) in California experiences persistent air quality problems associated with elevated particulate matter (PM) concentrations due to anthropogenic emissions, topography, and meteorological conditions. Thus it is important to unravel the various sources and processes that affect the physico-chemical properties of PM in order to better inform pollution abatement strategies and improve parameterizations in air quality models. moreAerosol Mass Spectrometer (HR-ToF-AMS) and an Ionicon Proton Transfer Reaction Time-of-Flight Mass Spectrometer (PTR-TOF-MS) as part of the NASA Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) campaign. The average submicron aerosol (PM1) concentration was 31.0 ?g m?3 and the total mass was dominated by organic aerosols (OA, 55 %), followed by ammonium nitrate (35 %). High PM pollution events were commonly associated with elevated OA concentrations, mostly from primary sources. Organic aerosols had average atomic oxygen-to-carbon (O / C), hydrogen-to-carbon (H / C), and nitrogen-to-carbon (N / C) ratios of 0.42, 1.70, and 0.017, respectively. Six distinct sources of organic aerosol were identified from positive matrix factorization (PMF) analysis of the AMS data: hydrocarbon-like OA (HOA; 9 % of total OA; O / C = 0.09) associated with local traffic, cooking OA (COA; 28 % of total OA; O / C = 0.19) associated with food cooking activities, two biomass burning OAs (BBOA1; 13 % of total OA; O / C = 0.33 and BBOA2; 20 % of total OA; O / C = 0.60) most likely associated with residential space heating from wood combustion, and semi-volatile oxygenated OA (SV-OOA; 16 % of total OA; O / C = 0.63) and low volatility oxygenated OA (LV-OOA; 24 % of total OA; O / C = 0.90) formed via chemical reactions in the atmosphere. Large differences in aerosol chemistry at Fresno were observed between the current campaign (winter 2013) and a

  18. Influences of emission sources and meteorology on aerosol chemistry in a polluted urban environment: Results from DISCOVER-AQ California

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

    Young, Dominique E.; Kim, Hwajin; Parworth, Caroline; Zhou, Shan; Zhang, Xiaolu; Cappa, Christopher D.; Seco, Roger; Kim, Saewung; Zhang, Qi

    2016-05-02

    The San Joaquin Valley (SJV) in California experiences persistent air-quality problems associated with elevated particulate matter (PM) concentrations due to anthropogenic emissions, topography, and meteorological conditions. Thus it is important to unravel the various sources and processes that affect the physicochemical properties of PM in order to better inform pollution abatement strategies and improve parameterizations in air-quality models. During January and February 2013, a ground supersite was installed at the Fresno–Garland California Air Resources Board (CARB) monitoring station, where comprehensive, real-time measurements of PM and trace gases were performed using instruments including an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) andmore » an Ionicon proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS) as part of the NASA Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) campaign. The average submicron aerosol (PM1) concentration was 31.0 µg m–3 and the total mass was dominated by organic aerosols (OA, 55 %), followed by ammonium nitrate (35 %). High PM pollution events were commonly associated with elevated OA concentrations, mostly from primary sources. Organic aerosols had average atomic oxygen-to-carbon (O/C), hydrogen-to-carbon (H/C), and nitrogen-to-carbon (N/C) ratios of 0.42, 1.70, and 0.017, respectively. Six distinct sources of organic aerosol were identified from positive matrix factorization (PMF) analysis of the AMS data: hydrocarbon-like OA (HOA; 9 % of total OA, O/C = 0.09) associated with local traffic, cooking OA (COA; 18 % of total OA, O/C = 0.19) associated with food cooking activities, two biomass burning OA (BBOA1: 13 % of total OA, O/C = 0.33; BBOA2: 20 % of total OA, O/C = 0.60) most likely associated with residential space heating from wood combustion, and semivolatile oxygenated OA (SV

  19. Influences of emission sources and meteorology on aerosol chemistry in a polluted urban environment: results from DISCOVER-AQ California

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

    Young, Dominique E.; Kim, Hwajin; Parworth, Caroline; Zhou, Shan; Zhang, Xiaolu; Cappa, Christopher D.; Seco, Roger; Kim, Saewung; Zhang, Qi

    2016-05-02

    The San Joaquin Valley (SJV) in California experiences persistent air-quality problems associated with elevated particulate matter (PM) concentrations due to anthropogenic emissions, topography, and meteorological conditions. Thus it is important to unravel the various sources and processes that affect the physicochemical properties of PM in order to better inform pollution abatement strategies and improve parameterizations in air-quality models. During January and February 2013, a ground supersite was installed at the Fresno–Garland California Air Resources Board (CARB) monitoring station, where comprehensive, real-time measurements of PM and trace gases were performed using instruments including an Aerodyne high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) andmore » an Ionicon proton transfer reaction time-of-flight mass spectrometer (PTR-TOF-MS) as part of the NASA Deriving Information on Surface Conditions from Column and Vertically Resolved Observations Relevant to Air Quality (DISCOVER-AQ) campaign. The average submicron aerosol (PM1) concentration was 31.0 µg m−3 and the total mass was dominated by organic aerosols (OA, 55 %), followed by ammonium nitrate (35 %). High PM pollution events were commonly associated with elevated OA concentrations, mostly from primary sources. Organic aerosols had average atomic oxygen-to-carbon (O / C), hydrogen-to-carbon (H / C), and nitrogen-to-carbon (N / C) ratios of 0.42, 1.70, and 0.017, respectively. Six distinct sources of organic aerosol were identified from positive matrix factorization (PMF) analysis of the AMS data: hydrocarbon-like OA (HOA; 9 % of total OA, O / C  =  0.09) associated with local traffic, cooking OA (COA; 18 % of total OA, O / C  =  0.19) associated with food cooking activities, two biomass burning OA (BBOA1: 13 % of total OA, O / C  =  0.33; BBOA2: 20 % of total OA, O / C  =  0.60) most likely

  20. North American extreme temperature events and related large scale meteorological patterns: A review of statistical methods, dynamics, modeling, and trends

    SciTech Connect (OSTI)

    Grotjahn, Richard; Black, Robert; Leung, Ruby; Wehner, Michael F.; Barlow, Mathew; Bosilovich, Michael; Gershunov, Alexander; Gutowski, Jr., William J.; Gyakum, John R.; Katz, Richard W.; Lee, Yun -Young; Lim, Young -Kwon; Prabhat, -

    2015-05-22

    This paper reviews research approaches and open questions regarding data, statistical analyses, dynamics, modeling efforts, and trends in relation to temperature extremes. Our specific focus is upon extreme events of short duration (roughly less than 5 days) that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs). Methods used to define extreme events statistics and to identify and connect LSMPs to extreme temperatures are presented. Recent advances in statistical techniques can connect LSMPs to extreme temperatures through appropriately defined covariates that supplements more straightforward analyses. A wide array of LSMPs, ranging from synoptic to planetary scale phenomena, have been implicated as contributors to extreme temperature events. Current knowledge about the physical nature of these contributions and the dynamical mechanisms leading to the implicated LSMPs is incomplete. There is a pressing need for (a) systematic study of the physics of LSMPs life cycles and (b) comprehensive model assessment of LSMP-extreme temperature event linkages and LSMP behavior. Generally, climate models capture the observed heat waves and cold air outbreaks with some fidelity. However they overestimate warm wave frequency and underestimate cold air outbreaks frequency, and underestimate the collective influence of low-frequency modes on temperature extremes. Climate models have been used to investigate past changes and project future trends in extreme temperatures. Overall, modeling studies have identified important mechanisms such as the effects of large-scale circulation anomalies and land-atmosphere interactions on changes in extreme temperatures. However, few studies have examined changes in LSMPs more specifically to understand the role of LSMPs on past and future extreme temperature changes. Even though LSMPs are resolvable by global and regional climate models, they are not necessarily well simulated so more

  1. North American extreme temperature events and related large scale meteorological patterns: A review of statistical methods, dynamics, modeling, and trends

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

    Grotjahn, Richard; Black, Robert; Leung, Ruby; Wehner, Michael F.; Barlow, Mathew; Bosilovich, Michael; Gershunov, Alexander; Gutowski, Jr., William J.; Gyakum, John R.; Katz, Richard W.; et al

    2015-05-22

    This paper reviews research approaches and open questions regarding data, statistical analyses, dynamics, modeling efforts, and trends in relation to temperature extremes. Our specific focus is upon extreme events of short duration (roughly less than 5 days) that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs). Methods used to define extreme events statistics and to identify and connect LSMPs to extreme temperatures are presented. Recent advances in statistical techniques can connect LSMPs to extreme temperatures through appropriately defined covariates that supplements more straightforward analyses. A wide array of LSMPs, ranging from synoptic tomore » planetary scale phenomena, have been implicated as contributors to extreme temperature events. Current knowledge about the physical nature of these contributions and the dynamical mechanisms leading to the implicated LSMPs is incomplete. There is a pressing need for (a) systematic study of the physics of LSMPs life cycles and (b) comprehensive model assessment of LSMP-extreme temperature event linkages and LSMP behavior. Generally, climate models capture the observed heat waves and cold air outbreaks with some fidelity. However they overestimate warm wave frequency and underestimate cold air outbreaks frequency, and underestimate the collective influence of low-frequency modes on temperature extremes. Climate models have been used to investigate past changes and project future trends in extreme temperatures. Overall, modeling studies have identified important mechanisms such as the effects of large-scale circulation anomalies and land-atmosphere interactions on changes in extreme temperatures. However, few studies have examined changes in LSMPs more specifically to understand the role of LSMPs on past and future extreme temperature changes. Even though LSMPs are resolvable by global and regional climate models, they are not necessarily well simulated so

  2. ARM - Instrument - ozone

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

    govInstrumentsozone 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 : Ozone Monitor (OZONE) Instrument Categories Aerosols An in-situ Ozone Monitor measures atmospheric ozone concentration, typically by ultraviolet photometry in a dual absorption cell. The OZONE is part of the Aerosol Observing System (AOS). Locations Eastern North Atlantic ENA C1 Browse Data Browse Plots Graciosa Island,

  3. ARM - Datastreams - pgsiso

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

    Datastreamspgsiso 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 Error occurred. No datastream found.

  4. ARM - VAP Product - visstgridg09v3minnis

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

    9v3minnis Documentation visst : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a...

  5. ARM - Datastreams - pgsaux

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

    Datastreamspgsaux 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 Error occurred. No datastream found.

  6. ARM - Datastreams - 1twr10x

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

    twr10x Documentation Data Quality Plots Citation DOI: 10.54391025338 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  7. ARM - Datastreams - 1twr60m

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

    twr60m Documentation Data Quality Plots Citation DOI: 10.54391025341 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  8. ARM - Datastreams - 1440twr21x

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

    1x Documentation Data Quality Plots Citation DOI: 10.54391025024 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  9. ARM - Datastreams - 30co2flx4m

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

    m Documentation Data Quality Plots Citation DOI: 10.54391025036 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  10. ARM - Datastreams - irt2s

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

    s Documentation Data Quality Plots Citation DOI: 10.54391025207 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  11. ARM - Datastreams - 30co2flx25m

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

    flx25m Documentation Data Quality Plots Citation DOI: 10.54391025035 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  12. ARM - Datastreams - 30co2flx60m

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

    flx60m Documentation Data Quality Plots Citation DOI: 10.54391025038 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  13. ARM - Datastreams - 30twr10x

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

    twr10x Documentation Data Quality Plots Citation DOI: 10.54391025342 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  14. ARM - Datastreams - 30twr60m

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

    twr60m Documentation Data Quality Plots Citation DOI: 10.54391025345 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  15. ARM - Datastreams - 1twr21x

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

    1x Documentation Data Quality Plots Citation DOI: 10.54391025339 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  16. ARM - Datastreams - 1440twr25m

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

    twr25m Documentation Data Quality Plots Citation DOI: 10.54391025025 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  17. ARM - Datastreams - 1440twr60m

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

    twr60m Documentation Data Quality Plots Citation DOI: 10.54391025033 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  18. ARM - Datastreams - 30twr25m

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

    twr25m Documentation Data Quality Plots Citation DOI: 10.54391025344 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  19. ARM - Datastreams - 1twr25m

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

    twr25m Documentation Data Quality Plots Citation DOI: 10.54391025340 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you...

  20. ARM - Datastreams - 30twr21x

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

    1x Documentation Data Quality Plots Citation DOI: 10.54391025343 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send...

  1. ARM - Datastreams - ngm250

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

    Datastreamsngm250 Documentation XDC 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...

  2. ARM - Datastreams - avhrr11ch4

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

    ch4 Documentation XDC 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....

  3. ARM - Datastreams - fullavhrr16ch4

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

    ch4 Documentation XDC 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....

  4. ARM - Datastreams - avhrr16ch4

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

    ch4 Documentation XDC 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....

  5. ARM - Datastreams - mfr10m

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

    Quality Plots Citation DOI: 10.54391025224 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or...

  6. ARM - Datastreams - fullavhrr12ch2

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

    ch2 Documentation XDC 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....

  7. ARM - Datastreams - fullavhrr15ch2

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

    ch2 Documentation XDC 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....

  8. ARM - Datastreams - avhrr17ch4

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

    ch4 Documentation XDC 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....

  9. ARM - Datastreams - goes13vis

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

    vis Documentation XDC 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....

  10. ARM - Datastreams - fullavhrr16ch2

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

    ch2 Documentation XDC 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....

  11. ARM - Datastreams - avhrr10ch4

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

    ch4 Documentation XDC 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....

  12. ARM - Datastreams - avhrr17ch2

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

    ch2 Documentation XDC 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....

  13. ARM - Datastreams - avhrr14ch2

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

    ch2 Documentation XDC 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....

  14. ARM - Datastreams - fullavhrr12ch4

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

    ch4 Documentation XDC 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....

  15. ARM - Datastreams - fullavhrr10ch4

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

    ch4 Documentation XDC 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....

  16. ARM - Datastreams - avhrr16ch2

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

    ch2 Documentation XDC 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....

  17. ARM - Datastreams - avhrr14ch4

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

    ch4 Documentation XDC 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....

  18. ARM - Datastreams - fullavhrr10ch2

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

    ch2 Documentation XDC 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....

  19. ARM - Datastreams - avhrr15ch2

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

    ch2 Documentation XDC 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....

  20. ARM - Datastreams - fullavhrr11ch4

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

    ch4 Documentation XDC 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....

  1. ARM - Datastreams - goes14vis

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

    vis Documentation XDC 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....

  2. ARM - Datastreams - fullavhrr11ch2

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

    ch2 Documentation XDC 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....

  3. ARM - Datastreams - goes8vis

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

    vis Documentation XDC 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....

  4. ARM - Datastreams - fullavhrr15ch4

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

    ch4 Documentation XDC 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....

  5. ARM - Datastreams - avhrr15ch4

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

    ch4 Documentation XDC 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....

  6. ARM - Datastreams - goes10vis

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

    vis Documentation XDC 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....

  7. ARM - Datastreams - goes12vis

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

    vis Documentation XDC 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....

  8. ARM - Datastreams - avhrr12ch4

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

    ch4 Documentation XDC 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....

  9. ARM - Datastreams - avhrr12ch2

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

    ch2 Documentation XDC 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....

  10. ARM - Datastreams - fullavhrr14ch4

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

    ch4 Documentation XDC 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....

  11. ARM - Datastreams - mfr3m

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

    Quality Plots Citation DOI: 10.54391140239 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or...

  12. ARM - Datastreams - fullavhrr17ch2

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

    ch2 Documentation XDC 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....

  13. ARM - Datastreams - fullavhrr14ch2

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

    ch2 Documentation XDC 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....

  14. ARM - Datastreams - noaaaosavg

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

    Quality Plots Citation DOI: 10.54391025260 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or...

  15. ARM - Datastreams - avhrr10ch2

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

    ch2 Documentation XDC 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....

  16. ARM - Datastreams - fullavhrr17ch4

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

    ch4 Documentation XDC 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....

  17. ARM - Datastreams - mfr25m

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

    Quality Plots Citation DOI: 10.54391025225 What is this? Generate Citation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or...

  18. ARM - Datastreams - avhrr11ch2

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

    ch2 Documentation XDC 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....

  19. Implementing Best Practices for Data Quality Assessment of the National Renewable Energy Laboratory?s Solar Resource and Meteorological Assessment Project: Preprint

    SciTech Connect (OSTI)

    Wilcox, S. M.; McCormack, P.

    2011-04-01

    Effective solar radiation measurements for research and economic analyses require a strict protocol for maintenance, calibration, and documentation to minimize station downtime and data corruption. The National Renewable Energy Laboratory's Concentrating Solar Power: Best Practices Handbook for the Collection and Use of Solar Resource Data includes guidelines for operating a solar measurement station. This paper describes a suite of automated and semi-automated routines based on the best practices handbook as developed for the National Renewable Energy Laboratory Solar Resource and Meteorological Assessment Project. These routines allow efficient inspection and data flagging to alert operators of conditions that require immediate attention. Although the handbook is targeted for concentrating solar power applications, the quality-assessment procedures described are generic and should benefit many solar measurement applications. The routines use data in one-minute measurement resolution, as suggested by the handbook, but they could be modified for other time scales.

  20. Meso-scale cooling effects of high albedo surfaces: Analysis of meteorological data from White Sands National Monument and White Sands Missile Range

    SciTech Connect (OSTI)

    Fishman, B.; Taha, H.; Akbari, H.

    1994-05-20

    Urban summer daytime temperatures often exceed those of the surrounding rural areas. Summer ``urban heat islands`` are caused by dark roofs and paved surfaces as well as the lack of vegetation. Researchers at Lawrence Berkeley Laboratory are interested in studying the effects of increasing the albedo of roof tops and paved surfaces in order to reduce the impacts of summer urban heat islands. Increasing the albedo of urban surfaces may reduce this heat island effect in two ways, directly and indirectly. The direct effect involves reducing surface temperature and, therefore, heat conduction through the building envelope. This effect of surface albedo on surface temperatures is better understood and has been quantified in several studies. The indirect effect is the impact of high albedo surfaces on the near surface air temperatures. Although the indirect effect has been modeled for the Los Angeles basin by Sailor, direct field observations are required. The objective of this report is to investigate the meso-scale climate of a large high albedo area and identify the effects of albedo on the near surface air temperature. To accomplish this task, data from several surface weather stations at White Sands, New Mexico were analyzed. This report is organized into six sections in addition to this introduction. The first gives the general geological, topographic, and meteorological background of White Sands. The second is a discussion of the basic surface meteorology of the White Sands region. This section is followed by a general discussion of the instrumentation and available data. The fourth section is a description of the method used for data analyis. The fifth section which presents the results of this analysis. Finally, the last section is the summary and conclusion, where a discussion of the results is presented.

  1. Browse by Discipline -- E-print Network Subject Pathways: Biology...

    Office of Scientific and Technical Information (OSTI)

    Biological, and Environmental Engineering, Oregon State University Williams, John M. (John M. Williams) - Petroleum Engineering program, Petroleum Institute (Abu Dhabi) Go ...

  2. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    ... de Fsica, Applied Physics Institute for Mathematics and its Applications Iowa State University, Department of Statistics Isaac Newton Institute for Mathematical Sciences

  3. Browse by Discipline -- E-print Network Subject Pathways: Geosciences...

    Office of Scientific and Technical Information (OSTI)

    A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Institut de Biologie Physico-Chimique CNRS, Physico-Chimie Molculaire des Membranes Biologiques Institute of Catalysis and ...

  4. Browse by Discipline -- E-print Network Subject Pathways: Fossil...

    Office of Scientific and Technical Information (OSTI)

    A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Zaragoza, Universidad de - Departamento de Bioqumica y Biologa Molecular y Celular, Biologia y Biotecnologia de la ...

  5. Browse by Discipline -- E-print Network Subject Pathways: --...

    Office of Scientific and Technical Information (OSTI)

    ... A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Zaragoza, Universidad de - Departamento de Bioqumica y Biologa Molecular y Celular, Biologia y Biotecnologia de la ...

  6. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    ... Kernenergie nergie Nuclaire Suisse -- Schweizer Licht Gesellschaft Swiss Lighting Society (SLG) -- Schweizerische Akademie der Naturwissenschaften Acadmie suisse ...

  7. Browse by Discipline -- E-print Network Subject Pathways: Power...

    Office of Scientific and Technical Information (OSTI)

    Carbon Dynamics and Estimation for Sustainable Management Program USDA Forest Service, ... States Utah State Universit - Department of Fisheries and Wildlife, Berryman Institute

  8. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    P Q R S T U V W X Y Z Go back to Individual Researchers Collections: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Oak Ridge National Laboratory - Building Technologies ...

  9. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    H I J K L M N O P Q R S T U V W X Y Z Grujicic, Mica (Mica Grujicic) - Department of Mechanical Engineering, Clemson University Go back to Individual Researchers Collections: A B C ...

  10. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    J K L M N O P Q R S T U V W X Y Z Ilic, Marija D. (Marija D. Ilic) - Department of Electrical and Computer Engineering, Carnegie Mellon University Go back to Individual Researchers ...

  11. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    Z Yaakobi, Eitan (Eitan Yaakobi) - Department of Electrical Engineering, California Institute of Technology Yagan, Osman (Osman Yagan) - Department of Electrical and Computer ...

  12. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    F G H I J K L M N O P Q R S T U V W X Y Z Elkashlan, Maged (Maged Elkashlan) - School of Electronic Engineering and Computer Science, Queen Mary, University of London Erdogan, ...

  13. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    ... Chatterjee) - School of Statistics, University of Minnesota Chatterji, Indira Lara (Indira Lara Chatterji) - Le Laboratoire de Mathmatiques - Analyse, Probabilits, ...

  14. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    ... Thomas) - Department of Mathematical Sciences, Montclair State University Thomas, Lara (Lara Thomas) - Section de Mathmatiques, Ecole Polytechnique Fdrale de Lausanne ...

  15. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    ... de Ingeniera Sanitaria y Ambiental Inter-American Association of Sanitary ... Carcinognese e Teratognese Ambiental Brazilian Society of Environmental ...

  16. Browse by Discipline -- E-print Network Subject Pathways: Power...

    Office of Scientific and Technical Information (OSTI)

    ... Columbia Pereira, Henrique Miguel (Henrique Miguel Pereira) - Centro de Biologia Ambiental, Universidade de Lisboa Perera, Priyan (Priyan Perera) - Department of Forestry and ...

  17. Browse by Discipline -- E-print Network Subject Pathways: --...

    Office of Scientific and Technical Information (OSTI)

    ... University Pereira, Henrique Miguel (Henrique Miguel Pereira) - Centro de Biologia Ambiental, Universidade de Lisboa Perera, Lalith (Lalith Perera) - Laboratory of Structural ...

  18. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    They communicate primarily in Italian. Some may have minimal English content on the ... della Fisica Association for the Teaching of Physics (AIF) -- Associazione ...

  19. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    Carl (Carl Salvaggio) - Chester F. Carlson Center for Imaging Science, Rochester ... Institute of Technology (MIT) Schmeiser, Bruce (Bruce Schmeiser) - School of Industrial ...

  20. Browse by Discipline -- E-print Network Subject Pathways: Energy...

    Office of Scientific and Technical Information (OSTI)

    Clarkson University Fegley Jr., Bruce (Bruce Fegley Jr.) - Department of Earth ... Donald F. (Donald F. Figer) - Chester F. Carlson Center for Imaging Science, Rochester ...

  1. Browse by Discipline -- E-print Network Subject Pathways: Materials...

    Office of Scientific and Technical Information (OSTI)

    ... Pelz, Jeff (Jeff Pelz) - Chester F. Carlson Center for Imaging Science, Rochester ... of Maryland at College Park Porter, Bruce W. (Bruce W. Porter) - Department of ...

  2. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    ... Harsh Deep (Harsh Deep Chopra) - Department of Mechanical and Aerospace Engineering, State University of New ... Engineering, Compaq Water Resources Simulations ...

  3. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    V W X Y Z Go back to Individual Researchers Collections: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z US DOE, Office of Energy Efficiency and Renewable Energy, Green Power ...

  4. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Biology of the Chloroplast US DOE, Office of Energy Efficiency and Renewable Energy, Green Power Network Utah, University of - Energy and Geoscience Institute, GeoSpatial ...

  5. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    V W X Y Z Go back to Individual Researchers Collections: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z US DOE, Office of Energy Efficiency and Renewable Energy, Green Power ...

  6. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    Wade, Gordon (Gordon Wade) - Department of Mathematics and Statistics, Bowling Green State University Wadsworth, Adrian R. (Adrian R. Wadsworth) - Department of ...

  7. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    and Environmental Management, Energy and Materials Research Gro)up Smith, Richard J. (Richard J. Smith) - Department of Physics, Montana State University Stefanopoulou, Anna ...

  8. Browse by Discipline -- E-print Network Subject Pathways: Fission...

    Office of Scientific and Technical Information (OSTI)

    Glymour) - Department of Philosophy, Carnegie Mellon University Godfrey-Smith, Peter (Peter Godfrey-Smith) - Department of Philosophy, Harvard University Goldberg, Fred M. (Fred ...

  9. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    Department of Mathematics and Statistics, Smith College Haasdonk, Bernard (Bernard ... Department of Mathematics and Statistics, Smith College Hennig, Christian (Christian ...

  10. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    ... Faculteit der Aard- en Levenswetenschappen, Vrije Universiteit Amsterdam Smith, David C. (David C. Smith) - Graduate School of Oceanography, University of Rhode Island Smith, ...

  11. Browse by Discipline -- E-print Network Subject Pathways: Geosciences...

    Office of Scientific and Technical Information (OSTI)

    ... E.Smalley).- Departments of Chemistry & Physics, Rice University Smith III, Milton R (Milton R Smith III) - Department of Chemistry, Michigan State University Smith, Bradley ...

  12. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    ... Smirnova-Nagnibeda) - Section de Mathmatiques, Universit de Genve Smith, Eric P. (Eric P. Smith) - Department of Statistics, Virginia Tech Smith, Geoff (Geoff Smith) - ...

  13. Browse by Discipline -- E-print Network Subject Pathways: Chemistry...

    Office of Scientific and Technical Information (OSTI)

    ... E.Smalley).- Departments of Chemistry & Physics, Rice University Smith III, Milton R (Milton R Smith III) - Department of Chemistry, Michigan State University Smith, Arthur ...

  14. Browse by Discipline -- E-print Network Subject Pathways: Geosciences...

    Office of Scientific and Technical Information (OSTI)

    University of Illinois at Urbana-Champaign Ziurys, Lucy M. (Lucy M. Ziurys) - Steward Observatory & Department of Chemistry and Biochemistry, University of Arizona Zubarev, ...

  15. Browse by Discipline -- E-print Network Subject Pathways: Renewable...

    Office of Scientific and Technical Information (OSTI)

    Detector Gro)up Buscaglia, Gustavo C. (Gustavo C. Buscaglia) - Departamento de Cincia da Computao, Universidade de So Paulo Go back to Individual Researchers ...

  16. Browse by Discipline -- E-print Network Subject Pathways: Geosciences...

    Office of Scientific and Technical Information (OSTI)

    of Chemistry, Korea Advanced Institute of Science and Technology Kirby, Brian J. (Brian J. Kirby) - Sibley School of Mechanical and Aerospace Engineering, Cornell ...

  17. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    ... Louisiana State University Clifton, Amy Elizabeth (Amy Elizabeth Clifton) - Nordic ... Combe) - Bear Fight Institute Compo, Gilbert P. (Gilbert P. Compo) - NOAA-CIRES ...

  18. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Ewen (Ewen Ritchie) - Department of Energy Technology, Aalborg University Rood, Stewart (Stewart Rood) - Department of Biological Sciences, University of Lethbridge Rosendahl, ...

  19. Browse by Discipline -- E-print Network Subject Pathways: Energy...

    Office of Scientific and Technical Information (OSTI)

    ENEA Attari, Shahzeen Z. (Shahzeen Z. Attari) - Department of Psychological and Brain Sciences, Indiana University Azad, Abdul-Majeed (Abdul-Majeed Azad) - Department of ...

  20. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    ENEA Attari, Shahzeen Z. (Shahzeen Z. Attari) - Department of Psychological and Brain Sciences, Indiana University Azad, Abdul-Majeed (Abdul-Majeed Azad) - Department of ...

  1. Browse by Discipline -- E-print Network Subject Pathways: Fossil...

    Office of Scientific and Technical Information (OSTI)

    Jackson, Scott A. (Scott A. Jackson) - Department of Agronomy, Purdue University Jeong, Jaeseung (Jaeseung Jeong) - Department of Bio and Brain Engineering, Korea Advanced ...

  2. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    ... Jong Chul -Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technolog(e, Jong Chul -Department of Bio and Brain Engineering, Korea Advanced ...

  3. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    Engineering, University of Michigan Inati, Souheil (Souheil Inati) - Center for Brain Imaging & Department of Psychology, New York University Ingram, Mary Ann (Mary Ann ...

  4. Browse Societies by Language -- E-print Network Societies by...

    Office of Scientific and Technical Information (OSTI)

    Molecular Biology -- Biostatistiikan seura ry Finnish Society of Biostatistics -- Brain Research Society of Finland (BRSF) TOP - A B C D E F G H I J K L M N O P Q R S T U V W ...

  5. Browse by Discipline -- E-print Network Subject Pathways: Computer...

    Office of Scientific and Technical Information (OSTI)

    Universit Joseph Fourier Grenoble-I Gallego, Eduardo (Eduardo Gallego) - Departament ... Science, University of Waterloo Gedeon, Tomas (Tomas Gedeon) - Department of ...

  6. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Z Yin, Chungen (Chungen Yin) - Department of Energy Technology, Aalborg University Go back to Individual Researchers Collections: A B C D E F G H I J K L M N O P Q R S T U V W X Y...

  7. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    H I J K L M N O P Q R S T U V W X Y Z Garca, Oscar (Oscar Garca) - Forestry Program, University of Northern British Columbia Gieg, Lisa (Lisa Gieg) - Department of Biological...

  8. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    W X Y Z Vanlerberghe, Greg C. (Greg C. Vanlerberghe) - Department of Biological Sciences, University of Toronto at Scarborough Go back to Individual Researchers Collections: A B C...

  9. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    J K L M N O P Q R S T U V W X Y Z Ingram, David (David Ingram) - Institute for Energy Systems, University of Edinburgh Iqbal, M. Tariq (M. Tariq Iqbal) - Faculty of Engineering and...

  10. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    - Finnish Forest Research Institute Toor, Saqib (Saqib Toor) - Department of Energy Technology, Aalborg University Go back to Individual Researchers Collections: A B C D E F G H I...

  11. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    - Nanosolar, Inc. Kr, Sren Knudsen (Sren Knudsen Kr) - Department of Energy Technology, Aalborg University Go back to Individual Researchers Collections: A B C D E F G H I...

  12. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    F G H I J K L M N O P Q R S T U V W X Y Z Energy Research Centre of the Netherland(nergy Research Centre of the Netherlan)ds Evans, Robert O.(Robert O.Evans).- Department of...

  13. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    R S T U V W X Y Z Qin, Wensheng (Wensheng Qin) - Department of Biology, Lakehead University Go back to Individual Researchers Collections: A B C D E F G H I J K L M N O P Q R S T U...

  14. Browse by region (RaphaelSVGMap) | OpenEI Community

    Open Energy Info (EERE)

    We're hoping to contribute it back to the community someday, but I can't say when. Hope that helps Jon Jweers on 22 October, 2013 - 17:13 Points: 0 I'm not sure about...

  15. Browse by Discipline -- E-print Network Subject Pathways: Materials...

    Office of Scientific and Technical Information (OSTI)

    Purdue University Qian, Xiaoping (Xiaoping Qian) - Mechanical, Materials, and Aerospace Engineering Department, Illinois Institute of Technology Qiao, Chunming (Chunming ...

  16. Browse by Discipline -- E-print Network Subject Pathways: Power...

    Office of Scientific and Technical Information (OSTI)

    Power Transmission, Distribution and Plants Go to Research Groups Preprints Provided by ... A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Arizona State University, Power ...

  17. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Ray, Asok (Asok Ray) - Department of Mechanical and Nuclear Engineering, Pennsylvania State University Rochelle, Gary T. (Gary T. Rochelle) - Department of Chemical Engineering, ...

  18. Browse by Discipline -- E-print Network Subject Pathways: Fossil...

    Office of Scientific and Technical Information (OSTI)

    - Department of Chemical and Biomolecular Engineering, Tulane University Ostermeier, Marc (Marc Ostermeier) - Department of Biomolecular and Chemical Engineering, Johns ...

  19. Browse by Discipline -- E-print Network Subject Pathways: Fossil...

    Office of Scientific and Technical Information (OSTI)

    of Petroleum and Minerals Al-Khattaf, Sulaiman (Sulaiman Al-Khattaf) - Department of Chemical Engineering, King Fahd University of Petroleum and Minerals Al-Majed, Abdulaziz ...

  20. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    W X Y Z Van Zee, John W. (John W. Van Zee) - Department of Chemical Engineering, University of South Carolina Varaiya, Pravin (Pravin Varaiya) - Department of Electrical ...

  1. Browse by Discipline -- E-print Network Subject Pathways: Plasma...

    Office of Scientific and Technical Information (OSTI)

    I J K L M N O P Q R S T U V W X Y Z Jacobs, Jennifer (Jennifer Jacobs) - Civil Engineering Department, University of New Hampshire Jardim, Wilson de Figueiredo (Wilson de ...

  2. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Alvarez, Pedro J. (Pedro J. Alvarez) - Department of Civil and Environmental Engineering, Rice University Alvarez-Cohen, Lisa (Lisa Alvarez-Cohen) - Department of Civil and ...

  3. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    - Department of Geology, Utah State University Jay, David (David Jay) - Department of Civil Engineering and Environmental Sciences, Portland State University Jayne, Steven (Steven ...

  4. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Jacobson, Arne (Arne Jacobson) - Department of Environmental Resources Engineering, Humboldt State University Jacobson, Mark (Mark Jacobson) - Department of Civil and Environmental ...

  5. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    A. (Kristen A. Davis) - Department of Civil and Environmental Engineering, University ... (Russell Detwiler) - Department of Civil and Environmental Engineering, University ...

  6. Browse by Discipline -- E-print Network Subject Pathways: Plasma...

    Office of Scientific and Technical Information (OSTI)

    Nachabe, Mahmood H. (Mahmood H. Nachabe) - Department of Civil and Environmental Engineering, University of South Florida Neal, Clive R.(Clive R.Neal).- Department of Civil ...

  7. Browse by Discipline -- E-print Network Subject Pathways: Plasma...

    Office of Scientific and Technical Information (OSTI)

    Laaksonen, Toni (Toni Laaksonen) - Department of Biology, University of Turku Lastoskie, Christian M. (Christian M. Lastoskie) - Department of Civil and Environmental Engineering, ...

  8. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    ... R. (Enrique R. Vivoni) - Department of Civil and Environmental Engineering, Arizona ... M. (Richard M. Vogel) - Department of Civil and Environmental Engineering, Tufts ...

  9. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    M. Talat (M. Talat Odman) - School of Civil and Environmental Engineering, Georgia ... Caglar (Caglar Oskay) - Department of Civil and Environmental Engineering, Vanderbilt ...

  10. Browse by Discipline -- E-print Network Subject Pathways: Plasma...

    Office of Scientific and Technical Information (OSTI)

    Barlaz, Morton A. (Morton A. Barlaz) - Department of Civil, Construction, and ... William (William Burgos) - Department of Civil and Environmental Engineering, ...

  11. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    "Jason" (Zhen "Jason" He) - Department of Civil Engineering and Mechanics, University of ... Mark (Mark Hickman) - Department of Civil Engineering and Engineering Mechanics, ...

  12. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Narayan, Ramani (Ramani Narayan) - Department of Chemical Engineering and Materials Science, Michigan State University Nash, Gregory D. (Gregory D. Nash) - Department of Civil and ...

  13. Browse by Discipline -- E-print Network Subject Pathways: Environmenta...

    Office of Scientific and Technical Information (OSTI)

    Resources, University of Alberta Mallick, Rajib B. (Rajib B. Mallick) - Department of Civil and Environmental Engineering, Worcester Polytechnic Institute McCready, Mark J. (Mark ...

  14. Browse by Discipline -- E-print Network Subject Pathways: Chemistry...

    Office of Scientific and Technical Information (OSTI)

    Qi, Limin (Limin Qi) - College of Chemistry, Peking University Qiao, Pizhong (Pizhong Qiao) - Department of Civil Engineering, University of Akron Qin, Lu-Chang (Lu-Chang Qin) - ...

  15. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    of Civil and Environmental Engineering, Rensselaer Polytechnic Institute Barkan, Christopher P.L. (Christopher P.L. Barkan) - Railroad Engineering Program & Department of Civil and ...

  16. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    ... (Christian M. Lastoskie) - Department of Civil and Environmental Engineering, University ... Bernard (Bernard Laval) - Department of Civil Engineering, University of British ...

  17. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    Princeton University Prevedouros, Panos D. (Panos D. Prevedouros) - Department of Civil and Environmental Engineering, University of Hawai'i at Manoa Pu, Shi (Shi Pu) - ...

  18. Browse by Discipline -- E-print Network Subject Pathways: Mathematics...

    Office of Scientific and Technical Information (OSTI)

    Z Zhai, John Z. (John Z. Zhai) - Department of Civil, Environmental, and Architectural Engineering, University of Colorado at Boulder Zhao, Tianshou (Tianshou Zhao) - Department ...

  19. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    (Dongxiao Zhang) - Departments of Chemical Engineering and Materials Science & Civil and Environmental Engineering, University of Southern California Zhang, Fuqing (Fuqing ...

  20. Browse by Discipline -- E-print Network Subject Pathways: Biotechnolog...

    Office of Scientific and Technical Information (OSTI)

    ... Anisotropy Project Eidgenssische Technische Hochschule Zrich (ETHZ), Department of Civil, Environmental and Geomatics Engineering, Geodetic Metrology and Engineering Geodesy