EOSDIS Data News - 04/06/2018
NASA's Global Hydrology Resource Center (GHRC) Distributed Active Archive Center (DAAC) has recently published two GPM Ground Validation Hydro-Estimator datasets, one from the Global Precipitation Measurement Ground Validation (GPM-GV) Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign and the other from the GPM-GV Iowa Flood Studied (IFloodS) field campaign. Both of these datasets contain rainfall rate estimates derived using NOAA’s Geostationary Operational Environmental Satellites (GOES) infrared (IR) brightness temperature data. The Hydro-Estimator model was developed by researchers at the NOAA Center of Satellite Applications and Research (STAR). Rainfall rate estimates are produced every 15 minutes throughout the continental United States. Both of these datasets have been spatially subset to the specific field campaign region in support of GPM-GV. For IPHEx, the data cover North Carolina and mountainous portions of nearby states. For IFloodS, the data have been subset to the state of Iowa and surrounding region. These data are available in netCDF-4 format and consists of rain rate values during May 1, 2014 through June 16, 2014 (IPHEx) and April 25, 2013 through June 30, 2013 (IFloodS).
- IPHEx Hydro-Estimator: http://dx.doi.org/10.5067/GPMGV/IPHEX/MULTIPLE/DATA401
- IFloodS Hydro-Estimator: http://dx.doi.org/10.5067/GPMGV/IFLOODS/MULTIPLE/DATA101
NASA's Land Processes DAAC (LP DAAC) has released the Moderate Resolution Imaging Spectroradiometer (MODIS) Version 6 global Land/Water Mask (MOD44W) yearly (2000 - 2015) data product at 250 meter spatial resolution. A primary improvement in MOD44W Version 6 is the generation of time series data, rather than a simple static representation of water, given that water bodies fluctuate in size and location over time due to both natural and anthropogenic causes. The MOD44W Version 6 data product provides global coverage of land, water, no data, and an associated per pixel quality assurance (QA) layer that provides users with information on the determination of water.
- Data set DOI: https://doi.org/10.5067/MODIS/MOD44W.006
LP DAAC has published additional years (2000, 2001, 2002 and 2016) for three Making Earth System Data Records for Use in Research Environments (MEaSUREs) Land Surface Temperature and Emissivity (LSTE) Combined ASTER and MODIS Emissivity for Land (CAMEL) monthly data products. The CAMEL collection was derived by combining the University of Wisconsin-Madison MODIS Infrared Emissivity datasett (UWIREMIS) and the Jet Propulsion Laboratory ASTER Global Emissivity Dataset Version 4 (GEDv4). The data are fundamental for balancing the Earth's surface energy and radiation budget and can be used for monitoring land cover and land use change.
- Data set DOIs:
NASA's National Snow and Ice Data Center (NSIDC) DAAC published Version 2 of the data set MEaSUREs MODIS Mosaic of Greenland (MOG) 2005, 2010, and 2015 Image Maps. Version 2 includes Mosaic of Greenland 2010 and 2015 (MOG2010 and MOG2015) data, in addition to the MOG2005 data. This data set is funded by NASA’s Making Earth System Data Records for Use in Research Environments (MEaSUREs) Program.
- Data set DOI: https://doi.org/10.5067/9ZO79PHOTYE5
NSIDC DAAC published January 2018 data 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.
- Data Set DOI: http://dx.doi.org/10.5067/GPVL3SACPBW4
NASA's Socioeconomic Data and Applications Center (SEDAC) completed a production release of the Global PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with Geographically Weighted Regression (GWR), 1998-2016 data set, consisting of annual concentrations (micrograms per cubic meter) of ground-level fine particulate matter (PM2.5), with dust and sea-salt removed.
This data set supersedes a previous version with data through 2012.
SEDAC completed a production release of the India Village-Level Geospatial Socio-Economic Data Set: 1991, 2001, part of SEDAC’s India data collection. The data set includes the finest level of administrative boundaries in India (village/town-level) with more than 200 socio-economic variables collected during the Indian Census in 1991 and 2001. The data are in UTM 44N projection and are distributed primarily as shapefiles. Separate files are provided for each of the 28 states (number of states during 1991 and 2001 census) and combined Union Territories for 1991 and 2001.
Last Updated: Aug 24, 2018 at 11:43 AM EDT