GHRC Software Engineer Ajinkya Kulkarni (UAH) presented Data Albums at the ESDIS Webinar Series on November 19. Data Albums is an ACCESS-funded technology developed by UAH and slated for incorporation into the GHRC. A video recording of the webinar will be posted on the ESDIS Earthdata Webinar channel soon.
GHRC DAAC Operations Manager Helen Conover, Systems Engineer Michael McEniry, and Software Engineer Manil Maskey, all UAH, attended the DAAC System Engineering Technical Interchange Meeting held at NASA GSFC, November 18-20. Maskey helped organize the Web Usability and Workflow session, at which Conover presented lessons learned from GHRC’s ongoing web site overhaul. Maskey also presented Data Albums at the Visualization Swap Meet session. Data Albums is an ACCESS-funded technology developed by UAH and slated for incorporation into the GHRC. Conover contributed to the DAAC Browse Issues session chaired by Chris Torbert of LP DAAC.
GHRC has published a set of Regional Air Sea Interactions (RASI) climatology datasets containing coastal mountain gap wind events and resulting sea surface temperature changes due to ocean upwelling. These datasets were created using an automated intelligent algorithm, which identified gap wind and coastal ocean upwelling events using two satellite-based microwave datasets. The Cross-Calibrated Multi-Platform (CCMP) ocean surface wind data product was used for wind data while the Optimally Interpolated Sea Surface Temperatures (OISST) data product provided by Remote Sensing Systems was used for sea surface temperatures. Data is available from 1998-2011 for three regions in Central America: Tehuantepec, Papagayo, and Panama. Users can explore these climatologies via the interactive online RASI application. The RASI algorithm, datasets and application were developed by RSS and the University of Alabama in Huntsville for the DISCOVER project, funded by the NASA MEaSUREs program.
GHRC has published the RSS Monthly 1-deg Merged Wind Climatology netCDF dataset and its guide. This data set provides monthly means of wind speed and wind direction on a one degree grid, a 20 year climatology data file, and a cumulative data file containing monthly trends in wind speed anomaly. This data set is constructed from Remote Sensing Systems (www.remss.com) Version-7 microwave radiometer wind speed values. The merged wind climatology data comes from the following satellite radiometers: SSM/I, SSMIS, AMSR-E, and WindSat. These microwave radiometers have been carefully inter-calibrated at the brightness temperature level and the V7 ocean products have been produced using a consistent processing methodology for all sensors. The high quality ocean data is made available thanks to funding from the NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments) project. This data set is available as both netCDF3 and netCDF4 formatted files
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