EOSDIS New Datasets: June 2018

ASDC

NASA's Atmospheric Science Data Center (ASDC), in collaboration with the Multi-angle Imaging SpectroRadiometer (MISR) Science team, published the following Airborne Multiangle SpectroPolarimetric Imager (AirMSPI) products. ASDC published the Aerosol Characterization from Polarimeter and Lidar (ACEPOL) flight campaign was based out of Armstrong Flight Research Center in Palmdale, CA, and focused on assessing the capabilities of proposed future instruments by the ACE pre-formulation study to answer fundamental science questions associated with aerosols, clouds, air quality and global ocean ecosystems. AirMSPI data were acquired from October 19 through November 9, 2017.

ASDC published the Radar Definition Experiment (RADEX) flight campaign was based out of Joint Base Lewis-McChord, Washington. The campaign focused on characterizing new radar instruments being tested for future NASA satellite missions with AirMSPI providing additional cloud characterization. AirMSPI data were acquired from November 10 through December 13, 2015.

ASDC published the Spectral Polarimeter for Planetary Explorations (SPEX) engineering flights and Porter Ranch gas leak overflights (SPEX-PR) flight campaign was based out of Armstrong Flight Research Center in Palmdale, CA. The SPEX engineering flights conducted on February 2 through February 5, 2016 focused on the checkout of another polarimeter, SPEX airborne, built by SRON Netherlands Institute for Space Research, with AirMSPI providing validation. On February 9, the ER-2 overflew the Porter Ranch, California natural gas leak with AirMSPI and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) collecting data.

ASDC published the Imaging Polarimetric Assessment and Characterization of Tropospheric Particulate Matter (ImPACT-PM) flight campaign, which involved the ER-2 based out of Armstrong Flight Research Center in Palmdale, CA and a Navy Twin Otter flying the Caltech Center for Interdisciplinary Remotely Piloted Aircraft Studies (CIRPAS) suite of instruments based out of Monterey, CA. The campaign was conducted to test a strategy to use multi-angle, spectropolarimetric remote sensing to retrieve information on the distributions of atmospheric particle types, with emphasis on carbon-containing compounds, as a precursor to NASA’s Multi-Angle Imager for Aerosols (MAIA), an Earth Venture-Instrument currently in formulation. AirMSPI data were acquired from July 5 through July 8, 2016.

ASDC published the Mt. Kilauea eruption on May 6, 2018, was captured by NASA's the Multi-angle Imaging SpectroRadiometer (MISR) instrument on NASA's Terra satellite, displaying a view of an eruption plume streaming southwest over the ocean. This image was added to the ASDC image rotator (https://eosweb.larc.nasa.gov/news/ash-from-kilauea-eruption-viewed-by-nasas-misr) and for additional information see:

ASDC and Boston University announce the public release of Vegetation Earth System Data Record (VESDR) derived from the Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR). The VESDR product contains Leaf Area Index (LAI) and diurnal courses of Normalized Difference Vegetation Index (NDVI), Sunlit Leaf Area Index (SLAI), Fraction of incident Photosynthetically Active Radiation (400-70 nm) absorbed by the vegetation (FPAR) and Directional Area Scattering Function (DASF). The parameters are distributed at 10 km sinusoidal grid and 65 to 110-minute temporal frequency.

FPAR, LAI, SLAI are useful for monitoring variability and change in global vegetation due to climate and anthropogenic influences, modeling climate, carbon and water cycles, and improving forecasting of near surface weather. DASF provides information critical to accounting for structural contributions to measurements of leaf biochemistry from remote sensing. Whereas LAI is a standard product of many satellite missions, diurnal courses of global FPAR, NDVI, SLAI and DASF are new satellite derived products.

We also provide two ancillary science data products, namely, 10 km Land Cover Type and Distribution of Land Cover Types within 10 km pixel. These products were derived from 500m MODIS land cover type 3 product (MCDLCHKM), which was generated from 2008, 2009 and 2010 land cover products (MCD12Q1, v051). Information about these products, details about product quality, and mechanisms to access the data can be found under DSCOVR Data and Information at the ASDC website:

doi:10.5067/EPIC/DSCOVR/L2_VESDR.001

ASDC, in collaboration with the Clouds and the Earth’s Radiant Energy System (CERES) Science Team, announces the release of the first Joint Polar Satellite System 1 (JPSS-1) datasets: They are the following:

  • The BDS data product is a Level-1B product that contains a 24-hour, single-satellite, single-instrument, geolocated TOA filtered radiances and other instrument data.
  • The ES-8 data product is a Level-2 product that contains a 24-hour, single-satellite, single-instrument, instantaneous view of scanner fluxes at the TOA reduced from spacecraft altitude unfiltered radiances using the Earth Radiation Budget Experiment (ERBE) scanner Inversion algorithms and the ERBE shortwave and longwave ADMs.
  • The ES-4 data product is a Level-3 product that are TOA fluxes using algorithms identical to those used by ERBE, averaged regionally (2.5-degree, 5-degree, and 10-degree grid), zonally (2.5-degree, 5-degree, and 10-degree) and globally.
  • The ES-9 data product is a Level-3 product that are TOA fluxes using algorithms identical to those used by ERBE, regional averages of instantaneous footprint TOA fluxes only for the hours of satellite observation (from ES-8 Level 2 product).
  • The CERES FM6 instrument now has a Longwave channel instead of the Window channel that previous instruments had. Additional information about the CERES products, including products available, documentation, relevant links, sample software, tools for working with the data, etc. can be found at the CERES data table: http://eosweb.larc.nasa.gov/project/ceres/ceres_table

GES DISC

NASA's Goddard Earth Sciences Data and Information Services Center (GES DISC) published the dataset Solar Irradiance Monitor (SIM) Daily Product, Version 24. This dataset covers the period 2003/4/14 to present. The dataset provides solar spectral irradiance data in the spectral region from 240 to 2400 nm. This new version includes updates that improve data acquisition in the infrared portion of the spectrum (1600-2400 nm). SIM is an instrument on the Solar Radiation and Climate Experiment (SORCE) satellite. Dataset citation: G. J. Harder (2018) SORCE SIM Level 3 Solar Spectral Irradiance Daily Means V024, Greenbelt, MD, USA, GES DISC

GHRC DAAC

NASA's Global Hydrometeorology Resource Center Distributed Active Archive Center (GHRC DAAC) published the GPM-GV Upper Air Radiosonde OLYMPEX dataset that was collected during October 28, 2015 through January 16, 2016 as part of the GPM-GV OLYMPEX held on the Olympic Peninsula in the Pacific Northwest of the United States. A total of 651 radiosondes were launched from 5 locations: 3 in US - KSLE (Salem, OR), KUIL (Quillayute, WA), and NASA S-Band Dual-Polarimetric Radar (NPOL, located at NASA's Wallops Flight Facility) site; and 2 in Canada - Environment and Climate Change Canada (ECCC) instrument site and CYZT (Port Hardy, British Columbia). Also included in this dataset are Level 4 dropsonde data measured from dropsondes released from the NASA DC-8 aircraft flown in December 2015. The Upper Air Radiosonde dataset contains Level 0 through Level 4 data containing dew point temperature, pressure, air temperature, relative humidity, horizontal wind speed, vertical wind speed, wind direction, rise or drop rate, and geopotential height measurements. The data files are available in ASCII, ASCII-EOL, and netCDF-3 formats, as well as Skew-T and time series plots in PNG format. The lower level datasets (Level 0 raw data through Level 2 data) are only available upon request from GHRC DAAC.

GHRC DAAC published the GPM-GV Albert Head (AHD) Ground Meteorological Station (MET) OLYMPEX dataset consisting of precipitation rate, reflectivity, pressure, temperature, relative humidity, wind speed, and wind direction data measured by the MET station instruments located at Albert Head, B.C., Canada operated by the ECCC. The MET station contained a Vaisala FD12P Visibility Sensor, an OTT Parsivel2 Present Weather Sensor, an OTT Pluvio2 Precipitation Gauge, and a Vaisala WXT520 Weather Transmitter. These MET Station data files are available from November 13, 2015 through January 17, 2016 in ASCII-CSV and XML formats, with daily browse images of precipitation rate plots in PNG format.

GHRC DAAC published the GPM-GV GOES 15 Visible and Infrared Images OLYMPEX dataset which contains visible and infrared images from the GOES 15 Imager during the GPM-GV OLYMPEX field campaign held in the Pacific Northwest. The GOES 15 images are available for all dates between November 5, 2015 and May 1, 2016 at 15-minute intervals. The GPM-GV GOES 15 OLYMPEX dataset files are available in PNG format.

GHRC DAAC published two GOES datasets for the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in the southeast region of the United States. The GPM-GV GOES 14 Visible and Infrared Images IPHEx dataset contains visible and infrared images from the GOES 14 Imager and the GPM-GV GOES 13 Visible and Infrared Images IPHEx dataset contains visible and infrared images in 3 sizes (FULL, Contiguous U.S. [CONUS], and EXT) obtained from the GOES 13 Imager. Files for each imager are available in PNG format at various intervals: 30 minute (GOES 13 EXT and CONUS), 3 hour (GOES 13 FULL), and 1 minute (GOES 14), for all dates between May 1, 2014 and June 16, 2014 (GOES 13) and May 8, 2014 and May 24, 2014 (GOES 14).

GHRC DAAC published the GPM-GV Global Satellite Mapping of Precipitation (GSMaP) Iowa Flood Studies (IFloodS) dataset. This dataset consists of rainfall rate estimates from the GSMaP project. The GSMaP global rain rate maps are derived by a collection of algorithms that utilize microwave (MW) radiometer data and geostationary Infrared (IR) data. The GSMaP Precipitation data product is provided on a 0.1 degree spatial resolution map every hour and was made available for use during the GPM-GV IFloodS field campaign. These data are available in netCDF-4 and binary formats from April 22, 2013 through June 30, 2013. The near real-time GSMaP data can be obtained from the Japanese Aerospace Exploration Agency GSMaP web page.

GHRC DAAC published the GPM-GV CAX1 Radar RB5 format the OLYMPEX dataset. This dataset consists of radar parameters, such as radar reflectivity, Doppler velocity, Doppler width, Differential reflectivity, and signal quality index, provided on a 0.4 to 1.0 km spatial resolution within the OLYMPEX field campaign study region in the state of Washington. These data were obtained for the GPM-GV OLYMPEX field campaign by the Selex Meteor 60DX10 Compact Weather (CAX1) radar. The CAX1 radar was located at the southern tip of Vancouver Island on the Canadian Forces Base (CFB) Esquimalt Albert Head (AHD) military training area. The CAX1 radar was operated by Environment and Climate Change Canada (ECCC) to support the OLYMPEX field campaign. These data are available in RB5 binary and PNG formats from November 13, 2015 to April 20, 2016. The CAX1 data are also available in OPERA Data Information Model (ODIM) or CFradial formatted data.

GHRC DAAC published version-2 of the GPM-GV Airborne Precipitation Radar 3rd Generation (APR-3) OLYMPEX V2 dataset. This dataset was collected from November 12, 2015 to December 19, 2015 during the GPM-GV OLYMPEX field campaign held in the Pacific Northwest. The APR-3 is an enhanced and upgraded radar with W-band measurement capability, and is related to the APR-2 instrument used in previous GPM-GV field campaigns. The APR-3 scans cross-track from +/- 25° to the right and left of nadir making Ku-band, Ka-band, and W-band frequency Doppler measurements from the DC-8 aircraft at a typical altitude of 10 km. Data files are in HDF-5 format with JPG format browse images. The data files contain radar reflectivity, Doppler velocity for all bands, linear depolarization ratios at Ku-band, and normalized radar cross section measurements at Ka and Ku-bands. Please note this is Version 2, replacing the previously published APR-3 data at GHRC DAAC.

GHRC DAAC published the GPM-GV Microwave Atmospheric Sounder on Cubesat (MASC) OLYMPEX dataset which consists of microwave radiance measurements collected during the GPM-GV OLYMPEX field campaign held in the Pacific Northwest. These data were collected by MASC aboard the NASA DC-8 aircraft which flew on selected dates during the intensive operational period of OLYMPEX between November 10, 2016 and December 13, 2016. The data are provided in HDF-EOS format.

GHRC DAAC published the GPM-GV TRMM 2A25 NRT Precipitation Radar IPHEx dataset. These data are estimates of instantaneous three-dimensional distribution of rain from the TRMM Precipitation Radar (PR). The TRMM 2A25 near real-time (NRT) orbital precipitation radar data from GES DISC have been extracted for the southeast US region for May 1 to June 16, 2014 during the GPM-GV IPHEx field campaign. This data product contains the average rainfall rate between two predefined altitudes derived from each radar beam position. Other output data include parameters of Z-R relationships (R=aZb), integrated rain rate of each beam, range bin numbers of rain layer boundaries, and many intermediate parameters. Data files are available in HDF-4 format, while corresponding browse images are also available in PNG format. It should be noted that this dataset is constructed from GES DISC data. Please refer to Section 2-3.8 in the TRMM PR Algorithm Instruction Manual For Version 7 document (http://www.eorc.jaxa.jp/TRMM/documents/PR_algorithm_product_information/pr_manual/PR_Instruction_Manual_V7_L1.pdf) regarding caveats about the 2A25 algorithm and for more information on the data.

LP DAAC

NASA's Land Processes DAAC (LP DAAC) has released the new NASA-produced Visible Infrared Imaging Radiometer Suite (VIIRS) Leaf Area Index (LAI)/Fraction of Photosynthetically Active Radiation (FPAR) Version 1 data product (VNP15A2H). This Level 3, 500 meter data product provides the best pixel available from all acquisitions within each 8-day period. Information from these data is used to study the structure and energy absorption of broadleaf and coniferous canopies.

LP DAAC has recently released the new NASA-produced Suomi National Polar-orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Vegetation Indices Version 1 data products (VNP13s). These data products provide the best pixel available from all acquisitions within 16-day and monthly periods, at 500 meter, 1 kilometer, and 0.05 degree (5,600 meter) resolution. Information from these data products provides global vegetation metrics, which are useful for monitoring vegetation activity, distribution, and composition. These data products support phenology and change detection studies, and can be used as a parameter for vegetation models.

datasets:

NSIDC DAAC

NASA's National Snow and Ice Data Center DAAC (NSIDC DAAC) has published the dataset Snow Experiment 2017 (SnowEx17) Laser Snow Microstructure Specific Surface Area. This dataset, obtained as part of the NASA SnowEx 2017 field campaign, reports vertical profiles of snow reflectance, specific surface area (SSA), and optical equivalent diameter (grain size) for 95 locations at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of Grand Junction. Reflectance was measured in situ using a 1310 nm integrating sphere laser device and then converted to SSA and optical equivalent diameter.

NSIDC DAAC has published the dataset SnowEx17 Community Snow Depth Probe Measurements. This dataset, obtained as part of the NASA SnowEx 2017 field campaign, contains in-situ snow depth measurements along multiple transects at two locations in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction; and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa.

NSIDC DAAC has published the dataset NASA SnowEx 2017 Community Snow Pit Measurements. This dataset consists of in situ measurements of snow temperature, density, stratigraphy, grain size, wetness, depth, and snow water equivalent (SWE) for 265 snow pits across two study sites in Colorado, USA: Grand Mesa, a snow-covered, forested study site about 40 miles east of Grand Junction and Senator Beck Basin approximately 80 miles to the SSE of Grand Mesa. These data were obtained during the NASA SnowEx 2017 campaign.

NSIDC DAAC has published data from March 2018 for the dataset Making Earth System Data Records for Use in Research Environments (MEaSUREs) Greenland Image Mosaics from Sentinel-1A and -1B, Version 2.

NSIDC DAAC has published data through 18 December 2017 for the dataset IceBridge UAF Lidar Scanner L1B Geolocated Surface Elevation Triplets, Version 1. This dataset contains scanning laser altimetry data points of Alaska Glaciers acquired using the airborne University of Alaska Fairbanks (UAF) Glacier lidar system beginning 19 August 2009.

NSIDC DAAC has published Version 1.3 of the dataset MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 1 for the Advanced Microwave Scanning Radiometer for EOS (AMSR-E) F16, F17, F18 and F19 sensors. The changes in this minor version update vary depending on the sensor and are listed by sensor in Table 11 of the user guide. Data from the remaining sensors included in this dataset will be reprocessed to version 1.3 soon.

NSIDC DAAC has published data through 19 April 2018 for the dataset IceBridge POS/AV L1B Corrected Position and Attitude Data. This dataset contains georeferencing data from the Applanix 510 POS AV system flown with the Digital Mapping System (DMS) and other instruments over Greenland and Antarctica. Data parameters include latitude, longitude, altitude, velocity, roll, pitch, and heading. The data were collected as part of Operation IceBridge campaigns.

NSIDC DAAC has published data through 25 November 2017 for the dataset IceBridge Snow Radar L1B Geolocated Radar Echo Strength Profiles. This dataset contains radar echograms taken from the Center for Remote Sensing of Ice Sheets (CReSIS) ultra-wide band snow radar over land and sea ice in the Arctic and Antarctic. The data were collected as part of Operation IceBridge campaigns.

NSIDC DAAC has published the dataset ASO L4 Lidar Snow Depth 50m UTM Grid. This dataset currently covers 08 February 2016 to 16 August 2017 and contains 50 m gridded snow depths derived from airborne light detection and ranging, or lidar, measurements of surface elevations. The data were collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns.

NSIDC DAAC has published the dataset AMSR-E/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture, Version 1 produced from the updated Beta 02 (B02) algorithm. The B02 update corrects an error that caused only half of each swath to be processed. Processing with the B02 algorithm began on May 03 2018. Data from July 07 2012 through May 02 2018 will be reprocessed.

NSIDC DAAC published data through 19 April 2018 for the following datasets collected as part of Operation IceBridge aircraft survey campaigns:

  • IceBridge DMS L1B Geolocated and Orthorectified Images: This dataset contains Level-1B imagery taken from the Digital Mapping System (DMS) over Greenland and Antarctica.
  • IceBridge DMS L0 Raw Imagery: This dataset contains Level-0 imagery taken from the DMS over Antarctica and Greenland.
  • IceBridge DMS L0 Camera Calibration: This dataset contains camera calibration reports for IceBridge DMS missions flown over Antarctica and Greenland.

NSIDC DAAC has published the dataset ASO L4 Lidar Snow Depth 3m UTM Grid. This dataset currently spans 08 February 2016 to 26 June 2016 and contains 3 meter gridded snow depths derived from airborne light detection and ranging, or lidar, measurements of surface elevations. The data were collected as part of the NASA/JPL Airborne Snow Observatory (ASO) aircraft survey campaigns. This dataset is available as part of an early release. Minimal documentation is currently available. An increased Level of Service and more detailed documentation will be available in the future.

NSIDC DAAC has published the dataset ASO L4 Lidar Snow Water Equivalent 50m UTM Grid. This dataset currently spans from 08 February 2016 to 08 July 2016 and contains 50 m gridded snow water equivalent (SWE) values collected as part of the NASA/JPL ASO aircraft survey campaigns. The data were derived from the ASO L4 Lidar Snow Depth 50m UTM Grid data product and from modeled snow density. This dataset is available as part of an early release. Minimal documentation is currently available. An increased Level of Service and more detailed documentation will be available in the future.

NSIDC DAAC has published updated Soil Moisture Active Passive (SMAP) datasets produced by the SMAP Science Data System (SDS). The following SMAP Levels 1-3 data have been updated:

  • SMAP L1B Radiometer Half-Orbit Time-Ordered Brightness Temperatures, Version 4 (SPL1BTB)
  • SMAP L1C Radiometer Half-Orbit 36 km EASE-Grid Brightness Temperatures, Version 4 (SPL1CTB)
  • SMAP Enhanced L1C Radiometer Half-Orbit 9 km EASE-Grid Brightness Temperatures, Version 2 (SPL1CTB_E)
  • SMAP L2 Radiometer Half-Orbit 36 km EASE-Grid Soil Moisture, Version 5 (SPL2SMP)
  • SMAP Enhanced L2 Radiometer Half-Orbit 9 km EASE-Grid Soil Moisture, Version 2 (SPL2SMP_E)
  • SMAP L3 Radiometer Global Daily 36 km EASE-Grid Soil Moisture, Version 5 (SPL3SMP)
  • SMAP Enhanced L3 Radiometer Global Daily 9 km EASE-Grid Soil Moisture, Version 2 (SPL3SMP_E)
  • SMAP L3 Radiometer Global and Northern Hemisphere Daily 36 km EASE-Grid Freeze/Thaw State, Version 2 (SPL3FTP)
  • SMAP Enhanced L3 Radiometer Global and Northern Hemisphere Daily 9 km EASE-Grid Freeze/Thaw State, Version 2 (SPL3FTP_E)

NSIDC DAAC published Version 1.3 of the dataset MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily Equal-Area Scalable Earth (EASE)-Grid 2.0 Brightness Temperature ESDR, Version 1 for all remaining ensors. The changes in this minor version update vary depending on the sensor and are listed by sensor in Table 11 of the user guide.

NSIDC DAAC has published Version 2 of the dataset Soil Moisture Active Passive (SMAP)/Sentinel-1 L2 Radiometer/Radar 30-Second Scene 3 km EASE-Grid Soil Moisture produced by the SMAP Science Data System (SDS). This dataset uses SMAP L-band brightness temperatures and Copernicus Sentinel-1 C-band backscatter coefficients to derive soil moisture data, which are then resampled to an Earth-fixed, cylindrical 3 km EASE-Grid 2.0.Version changes include: Fewer spurious sigma0 values caused by small man-made structures. Replaced the previous 3 km resolution urban fraction map with a new 1 km resolution map.

NSIDC DAAC has published reprocessed Advanced Microwave Scanning Radiometer for EOS (AMSR-E)/AMSR2 Unified L2B Half-Orbit 25 km EASE-Grid Surface Soil Moisture, Version 1 for all data from 2 July 2012 to present. The Beta 02 (B02) algorithm update corrects an error that caused only half of each swath to be processed. This dataset includes surface soil moisture estimates derived from L1R brightness. temperatures from AMSR2.

SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Analysis Update, Version 4 (SPL4SMAU)

SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data, Version 4 (SPL4SMGP)

SMAP L4 Global 9 km EASE-Grid Surface and Root Zone Soil Moisture Land Model Constraints, Version 4 (SPL4SMLM)

SMAP L4 Global Daily 9 km EASE-Grid Carbon Net Ecosystem Exchange, Version 4 (SPL4CMDL)

Version changes include:

  • SPL4SMAU, SPL4SMGP, and SPL4SMLM: Land surface modeling system improvements. In addition, data is more CF compliant with the addition of x and y coordinate variables as well as an EASE-Grid 2.0 projection mapping variable, which improves interoperability with ArcGIS, QGIS, OPeNDAP, and programmatic access.
  • SPL4CMDL: Improvements in model inputs and ancillary files resulting in better RMSE, especially for drier sites.

NSIDC DAAC has published the dataset High Mountain Asia Advanced Scatterometer (ASCAT) Freeze/Thaw/Melt Status. This Level-3 dataset provides freeze/thaw/melt status over seasonally frozen land and snowmelt status over glaciated areas for high mountain Asia glacier and snow regions. Daily F/T/M status is derived from vertically polarized (V-pol), C-band (5.255 GHz) ASCAT MetOp-A and MetOp-B backscatter measurements. This dataset is being made available with minimal documentation as part of an early release. NSIDC DAAC will provide an increased level of support and more detailed documentation in the future.

NSIDC DAAC has published data through 20 September 2017 for the dataset IceBridge LVIS L2 Geolocated Surface Elevation Product. This dataset contains surface elevation measurements from NASA’s Land, Vegetation, and Ice Sensor (LVIS) over areas including Greenland, Alaska, and Antarctica. The data were collected as part of NASA Operation IceBridge funded campaigns.

NSIDC DAAC has published data through 20 September 2017 for the dataset IceBridge LVIS L1B Geolocated Return Energy Waveforms. This dataset contains laser altimetry return energy waveform measurements taken from NASA’s Land, Vegetation, and Ice Sensor (LVIS) over areas including Greenland, Alaska, and Antarctica. The data were collected as part of Operation IceBridge funded campaigns.

NSIDC DAAC has published the dataset Snow Experiment 2017 (SnowEx17) Time Series Sonic Snow Depth Measurement. This dataset contains 15-min snow depth observations for two study sites on Grand Mesa, CO, USA, acquired as part of NASA’s 2017 SnowEx campaign. The data were recorded using two arrays of Judd Communications Ultrasonic Depth Sensors, positioned to represent three primary vegetation conditions: open-canopy; canopy-edge; and closed-canopy. This dataset is being made available with minimal documentation as part of an early release. NSIDC DAAC will provide an increased level of support and more detailed documentation in the future.

NSIDC DAAC has published the dataset SnowEx17 Ground-Based UWScat Ku- and X-Band Frequency Modulated Continuous Wave Radar. This dataset consists of ground-based scatterometer data acquired during the SnowEx 2017 campaign at Grand Mesa, Colorado, USA, a snow-covered, forested study site about 40 miles east of the city of Grand Junction, CO. The data comprise operational parameters used during data acquisition, Mueller matrices for each acquisition, and the nearfield-corrected normalized radar cross section (NRCS) in VV, VH, HV, and HH polarizations. Range profile data are also provided for each scan which report the raw power returned as a function of range from the antenna. This dataset is being made available with minimal documentation as part of an early release. NSIDC DAAC will provide an increased level of support and more detailed documentation in the future.

ORNL DAAC

NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) published the Arctic-Boreal Vulnerability Experiment (ABoVE) dataset Pre-ABoVE: Gridded Footprints from Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (STILT) Model, Barrow, Alaska, 1982-2011. This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm -- CO2; ppb - CH4) per (umol m-2 s-1 - CO2; nmol m-2 s-1 - CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function. Each file provides the surface influence-function footprints on a lat/lon/time grid from WRF-STILT simulations for the receptor location.

ORNL DAAC published the dataset Pre-ABoVE: Particle Trajectories for WRF-STILT Model, Barrow, AK, 1982-2011. This dataset provides Stochastic Time-Inverted Lagrangian Transport model outputs for receptors located at the NOAA Barrow Alaska Observatory for 12 selected years (15 August to 15 October) across the 30-year, 1982 to 2011, study timeframe. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm - CO2; ppb - CH4) per (umol m-2 s-1 - CO2; nmol m-2 s-1 - CH4), quantifies the influence of upwind surface fluxes on concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. The simulation results included in this dataset are crucial for understanding changes in Arctic carbon cycling and are part of a retrospective analysis to link changes in atmospheric composition at Arctic receptor sites with shifts in ecosystem structure and function.

ORNL DAAC published the dataset ABoVE: Peak Greenness for Canadian Boreal Forest from Landsat 5 TM Imagery, 1984-2011. This dataset provides a 28-year time series of peak greenness normalized difference vegetation index (NDVI) data derived from Landsat 5 TM imagery over the boreal forest region of Canada. Landsat 5 TM scenes were collected for 46 selected sidelap sites along gradients in climate, tree cover, and disturbance history from 1984 to 2011. Peak-greenness reflectance was computed for 30-m Landsat pixels using the maximum NDVI along with the normalized burn ratio (NBR) during the period between days of the year (DOY) 180 and 204. To facilitate trend analysis at each site, the NDVI and NBR data of the 30-m Landsat pixels were regridded to the coarser Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m (463.3-m) spatial scale to reduce the effects of missing data and to enhance the significance of the trend. The regridded NDVI and NBR 28-year time series data at 500-m resolution are provided for each of the 46 sites. Two trend analyses were run on the 500-m resolution data and are reported for each site. Supplemental site metadata are also provided, including the number of valid Landsat pixels, land cover composition, and disturbance history, for each 500-m pixel.

ORNL DAAC published the revised Daymet dataset Daymet: Monthly Climate Summaries on a 1-km Grid for North America, Version 3. This dataset provides Daymet Version 3 monthly summary climatologies at a 1-km x 1-km spatial resolution for four Daymet variables; minimum and maximum temperature, precipitation, and vapor pressure. Monthly averages are provided for minimum and maximum temperature and vapor pressure, and monthly totals are provided for the precipitation variable. These single month summary data products are produced for each individual month within a calendar year and cover the same period of record as the Daymet V3 daily data. The monthly climatology summaries are derived from the much larger dataset of daily weather parameters (Thornton et al., 2016), produced on a 1-km x 1-km grid over North America including Canada, the United States, and Mexico. Separate monthly summary files are provided for the land areas of Hawaii and Puerto Rico, which are also available as gridded daily files as part of the Daymet V3 dataset. Data are in a Lambert Conformal Conic projection for North America and are distributed in a netCDF file (version 1.6) format compliant to Climate and Forecast (CF) metadata conventions and geotiff file formats.

ORNL DAAC published the revised Daymet dataset Daymet: Annual Climate Summaries on a 1-km Grid for North America, Version 3. This dataset provides Daymet Version 3 annual summary climatologies at a 1-km x 1-km spatial resolution for four Daymet variables; minimum and maximum temperature, precipitation, and vapor pressure. Annual averages are provided for minimum and maximum temperature and vapor pressure, and annual totals are provided for the precipitation variable. These single year summary data products are produced for each individual year and cover the same period of record as the Daymet V3 daily data. The annual climatology summaries are derived from the much larger dataset of daily weather parameters (Thornton et al., 2016), produced on a 1-km x 1-km grid over North America including Canada, the United States, and Mexico. Separate annual summary files are provided for the land areas of Hawaii and Puerto Rico, which are also available as gridded daily files as part of the Daymet V3 dataset. Data are in a Lambert Conformal Conic projection for North America and are distributed in a netCDF file (version 1.6) format compliant to Climate and Forecast (CF) metadata conventions and geotiff file formats.

ORNL DAAC published the Arctic-Boreal Vulnerability Experiment dataset ABoVE: CO2 and CH4 Fluxes and Meteorology at Flux Tower Sites, Alaska, 2015-2017. This dataset provides CO2 and CH4 fluxes and meteorological parameters from five eddy covariance (EC) tower sites located at Barrow (three sites), Atqasuk (ATQ) and Ivotuk (IVO), Alaska. These locations form a 300-km north-south transect across Alaska's North Slope. Flux measurements include CO2, CH4, and H2O fluxes plus sensible and latent heat fluxes. Meteorological data include air temperature, wind speed, rain, soil temperature, PAR, radiation, soil water content, RH, ground heat fluxes, and air pressure. All data are reported at half-hourly intervals and cover the period 2015-01-01 to 2017-03-09.

ORNL DAAC published the ORNL DAAC MODIS Subsets dataset MODIS Collection 6 Land Product Subsets Web Service. The MODIS Web Service provides data access capabilities for MODIS Collection 6 land products. The web service provides data access functions for users to execute on their local computing resources. The MODIS Web Service is built upon ORNL DAAC's MODIS Global Subsetting and Visualization Tool that provides customized subsets and visualization of MODIS land products for any land location on earth. With the web service users can retrieve land product subsets through command line operations; download and integrate subsets directly into client side workflows; download and visualize subsets with customized code; and download subsets and write custom code for data reformatting.

ORNL DAAC published the North American Carbon Program (NACP) dataset WRF-STILT Gridded Footprints for Boston, MA, USA, 2013-2014. This dataset provides Weather Research and Forecasting WRF-STILT footprint data products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. The data are gridded footprints on a 1-km grid congruent with the ACES emissions inventory. Meteorological fields from version 3.5.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio, quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume.

ORNL DAAC published the North American Carbon Program dataset WRF-STILT Particle Trajectories for Boston, MA, USA, 2013-2014. This dataset provides WRF-STILT particle trajectory data and footprint products for two receptors located in Boston, Massachusetts, USA, for July 2013 - December 2014. Meteorological fields from version 3.6.1 of the Weather Research and Forecasting model are used to drive STILT. STILT applies a Lagrangian particle dispersion model backwards in time from a measurement location (the "receptor" location), to create the adjoint of the transport model in the form of a "footprint" field. The footprint, with units of mixing ratio (ppm) per surface flux (umol m-2 s-1), quantifies the influence of upwind surface fluxes on CO2 and CH4 concentrations measured at the receptor and is computed by counting the number of particles in a surface-influenced volume and the time spent in that volume. Footprints are provided for the two receptors at two temporal and spatial scales: three days of surface influence over the whole North American coverage area at 1-degree resolution and 24 hours of surface influence within a smaller region close to the measurement locations ('near field') at 0.1-degree resolution.

ORNL DAAC published the following data in its Thematic Real-time Environmental Distributed Data Services (THREDDS) Data Server (TDS):

Daymet:

ORNL DAAC published an update to the Daymet: Annual Tile Summary Cross-Validation Statistics for North America, Version 3 dataset. This update includes cross-validation statistics for year 2017.

Access the new datasets archive

Page Last Updated: Jun 2, 2021 at 1:25 PM EDT