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  2. EOSDIS Data News - 06/01/2018

EOSDIS Data News - 06/01/2018

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 SPEX engineering flights + 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 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, 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:

NASA's Global Hydrology Resource Center (GHRC) Distributed Active Archive Center (DAAC) published the GPM Ground Validation Upper Air Radiosonde OLYMPEX dataset that was collected during October 28, 2015 through January 16, 2016 as part of the GPM Ground Validation Olympic Mountain Experiment (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, KUIL, and NPOL site; and 2 in Canada - ECCC instrument site and CYZT. 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 the NASA GHRC DAAC.
GHRC DAAC published the GPM Ground Validation 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 Environment and Climate Change Canada (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 Ground Validation GOES 15 Visible and Infrared Images OLYMPEX dataset which contains visible and infrared images from the GOES 15 Imager during the GPM Ground Validation Olympic Mountains Experiment (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 Ground Validation 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 Ground Validation GOES 14 Visible and Infrared Images IPHEx dataset contains visible and infrared images from the GOES 14 Imager and the GPM Ground Validation GOES 13 Visible and Infrared Images IPHEx dataset contains visible and infrared images in 3 sizes (FULL, 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).
NASA's National Snow and Ice Data Center (NSIDC) Distributed Active Archive Center (DAAC) has published the data set SnowEx17 Laser Snow Microstructure Specific Surface Area. This data set, 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 data set SnowEx17 Community Snow Depth Probe Measurements. This data set, 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 data set NASA SnowEx 2017 Community Snow Pit Measurements. This data set 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 data set MEaSUREs Greenland Image Mosaics from Sentinel-1A and -1B, Version 2. This data set is part of the Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program.
NSIDC DAAC has published data through 18 December 2017 for the data set IceBridge UAF Lidar Scanner L1B Geolocated Surface Elevation Triplets, Version 1. This data set 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.
NASA's Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC) published the Arctic-Boreal Vulnerability Experiment dataset Pre-ABoVE: Gridded Footprints from WRF-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 Arctic-Boreal Vulnerability Experiment 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 Arctic-Boreal Vulnerability Experiment 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 (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 normalized difference vegetation index (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 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 Moderate Resolution Imaging Spectroradiometer (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 the 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 dataset WRF-STILT Gridded Footprints for Boston, MA, USA, 2013-2014. This dataset provides Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (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 Weather Research and Forecasting (WRF) Stochastic Time-Inverted Lagrangian Transport (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.



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Last Updated: Jun 1, 2018 at 8:52 AM EDT