EOSDIS Data News - 10/20/2017
NASA's Global Hydrology Resource Center (GHRC) Distributed Active Archive Center (DAAC) published the Global Precipitation Measurement (GPM) Ground Validation NASA S-Band Dual Polarimetric (NPOL) Doppler Radar OLYMPEX dataset. The dataset consists data and images from the NPOL radar during the GPM Olympic Mountains Experiment (OLYMPEX) campaign. NPOL, developed by a research team from NASA Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric Doppler research radar that was placed near the ocean on the Olympic Peninsula, Washington. Data files are available from November 5, 2015 thru January 15, 2016 in Universal Format (UF), with browse imagery files in PNG format containing corrected radar reflectivity, differential reflectivity, specific differential phase, differential phase, co-polar correlation, and Doppler velocity images
- Data set DOI: http://dx.doi.org/10.5067/GPMGV/OLYMPEX/NPOL/DATA301
GHRC DAAC published the GPM Ground Validation Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) Integrated Precipitation and Hydrology Experiment (IPHEx) dataset which consists of rainfall rate measurements derived from GOES IR data using the SCaMPR algorithm. The SCaMPR algorithm is calibrated using satellite microwave rainfall estimates from the Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Sounding Unit (AMSU). This dataset contains SCaMPR rain estimates for the time period and spatial extent of the IPHEx campaign from April 30, 2015 to June 17, 2015.
- Data set DOI: http://dx.doi.org/10.5067/GPMGV/IPHEX/SCAMPR/DATA301
NASA's National Snow and Ice Data Center (NSIDC) DAAC has published version 1.2 of the dataset Making Earth System Data Records for Use in Research Environments (MEaSUREs) Annual Greenland Outlet Glacier Terminus Positions from SAR Mosaics. For this minor version, glaciers were added to two winters: 2006/2007 — glaciers IDs 90 and 91 2008/2009 — glaciers IDs 1-9, 90, and 91.
- Data set DOI: http://dx.doi.org/10.5067/DC0MLBOCL3EL
NASA's Physical Oceanography DAAC (PO.DAAC) announced the release of the version 2.41 Visible Infrared Imaging Radiometer Suite (VIIRS) - National Polar-orbiting Operational Environmental Satellite System (NPOESS) Preparatory Project (NPP) Level-2P/3U Sea Surface Temperature (SST) datasets produced by the NOAA Office of Satellite and Product Operations (OSPO). See: https://podaac.jpl.nasa.gov/announcements/2017-10-09_NOAA_OSPO_VIIRS_L2P_L3U_GHRSST_upgraded_v2.41
PO.DAAC successfully ingested seven years of data for a new Quick Scatterometer (QuikSCAT) Level 1C Averaged Sigma-0 and Winds product from the Non-Spinning Antenna Version 2.0 dataset.
NASA's Socioeconomic Data and Applications Center (SEDAC) datasets, Global Population Count Grid Time Series Estimates, v1 (1970-2000) and Global Population Density Grid Time Series Estimates, v1 (1970-2000), were released on 13 October as part of the SEDAC Population Dynamics data collection. These datasets represent a “back-cast” time series of population count and density on a 30-arc-second (~1 km) grid over a 30-year period, using as a baseline the year 2000 population grid from SEDAC's Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) data set. Subnational population growth rates were adapted from the History Database of the Global Environment (HYDE) database, and population grids were adjusted so that country population totals equal the UN World Population Prospects (2008 Revision) estimates for each country for the years 1970, 1980, 1990, and 2000. These grids were developed as an input to the dataset, Global Estimated Net Migration Grids By Decade, v1 (1970-2000). See: http://sedac.ciesin.columbia.edu/data/set/popdynamics-global-pop-count-time-series-estimates and http://sedac.ciesin.columbia.edu/data/set/popdynamics-global-pop-density-time-series-estimates.
The display of Related URLs has been improved in Earthdata Search. Earthdata Search now displays the full link along with the URL type and subtype (when applicable). Additionally, Related URLs are grouped together by type for easier navigation and understanding of link types. See before/after screenshots below:
Last Updated: Aug 30, 2018 at 8:33 AM EDT