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  2. EOSDIS Data News: August 31, 2018

EOSDIS Data News: August 31, 2018


NASA's Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) published the Global Precipitation Mission Ground Validation (GPM-GV) Reference Rainfall Data Product Iowa Flood Studies (IFloodS) dataset. This dataset contains hourly rainfall accumulation estimates over central and northeastern Iowa for the period of 1 May to 16 June, 2013. This product is created by combining data from four Next Generation Radar (NEXRAD) ground-based radars located in the IFloodS campaign region. The goals of the IFloodS campaign were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. The data are available in gzipped ASCII files.

The IceBridge-Related Sander AIRGrav L1B Geolocated Free Air Gravity Anomalies dataset is now available at NASA's National Snow and Ice Data Center DAAC (NSIDC DAAC) from 29 April 2012 to 31 December 2016. This dataset contains Greenland and Antarctica gravity measurements taken from the Sander Geophysics AIRGrav airborne gravity system. These data are being made available as an early release with minimal documentation currently available. An increased Level of Service and more detailed documentation will be available in the future.
The Aquarius L3 Weekly Polar-Gridded Landscape Freeze/Thaw Data, Version 5 dataset is now available from NSIDC DAAC. This Level 3 (L3) dataset includes weekly Northern Hemisphere landscape freeze/thaw (FT) data derived from L-band radiometer brightness temperature observations, acquired by the Aquarius sensor aboard Argentina’s Satélite de Aplicaciones Científicas (SAC-D) satellite. The data are distributed on the Equal-Area Scalable Earth Grid Version 2.0 (EASE-Grid 2.0), with a spatial resolution of 36 km. The SAC-D satellite was developed collaboratively between NASA and Argentina’s space agency, Comisión Nacional de Actividades Espaciales (CONAE).
NASA's Oak Ridge National Laboratory DAAC (ORNL DAAC) published the Arctic-Boreal Vulnerability Experiment (ABoVE) dataset ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008. This dataset provides daily estimates of snow depth and snow density for the study area in Lake Clark National Park and Preserve, Alaska. The data were generated using SnowModel and used as snow covariates along with landscape covariates in modeling efforts to study Dall sheep movements in response to dynamic snow conditions. Thirty adult Dall sheep (12 male, 18 female) were captured and outfitted with global positioning system (GPS) collars programmed to acquire locations every seven hours. Given the individual sheep locations, their distances to land cover (e.g., shrub, forest, glacier), landscape characteristics (e.g., elevation, terrain ruggedness index (TRI), vector ruggedness measure (VRM), slope, and aspect), snow depth and density, Moderate Resolution Imaging Spectroradiometer (MODIS) normalized difference snow index (NDSI), and other covariates were determined and are provided in the environmental data file. The snow density and depth data are provided at 25-m, 100-m, 500-m, 2000-m, and 10000-m grid resolutions, at 1-day increments, and cover the period September 1, 2005 through August 31, 2008. The sheep, snow, and landscape data cover the years 2006, 2007, and 2008.

ORNL DAAC revised the Atmospheric Tomography Mission (ATom) dataset ATom: Merged Atmospheric Chemistry, Trace Gases, and Aerosols. This dataset provides information on greenhouse gases and human-produced air pollution, including atmospheric concentrations of carbon dioxide (CO2), methane (CH4), tropospheric ozone (O3) and black carbon (BC) aerosols, collected during airborne campaigns conducted by NASA's ATom mission. This dataset includes merged data from all instruments. A variety of merged file types have been created for each flight date. The merge files include additional data such as numbered profiles and distance flown. In the case of data obtained over longer time intervals (e.g. flask data), the merge files provide (weighted) averages of 1-second data to match the sampling intervals. ATom deploys an extensive gas and aerosol payload on NASA's DC-8 aircraft for systematic, global-scale sampling of the atmosphere, profiling continuously from 0.2 to 12 km altitude. Flights occurred in each of 4 seasons from 2016 to 2018. Flights originate from NASA's Armstrong Flight Research Center in Palmdale, California, fly north to the western Arctic, south to the South Pacific, east to the Atlantic, north to Greenland, and return to California across central North America. ATom establishes a single, contiguous, global-scale dataset. This comprehensive dataset will be used to improve the representation of chemically reactive gases and short-lived climate forcers in global models of atmospheric chemistry and climate. Profiles of the reactive gases will also provide critical information for validation of satellite data, particularly in remote areas where in situ data is lacking. Complete aircraft flight information including, but not limited to, latitude, longitude, and altitude are also provided. This data release provides results from the ATom-1 and ATom-2 flight campaigns. Data from subsequent campaigns will be added when it is finalized.

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Page Last Updated: Dec 22, 2020 at 3:23 PM EST