GHRC published the guide document for the GPM Ground Validation Environment Canada (EC) Radiosonde GCPEx dataset. This dataset includes measurements of temperature, pressure, humidity, and wind collected in the upper atmosphere by Vaisala RS92 Radiosondes during the GPM Cold-season Precipitation Experiment (GCPEx) at Environment Canada’s Centre for Atmospheric Research Experiments (CARE)in Ontario, Canada from January 17 to February 29, 2012.
GHRC welcomes new DAAC Manager Dr. Rahul Ramachandran! Rahul is well known within the DAACs, the ESIP Federation, and the Earth Science community. Rahul’s background in Earth science, computer science and informatics will serve him well. Rahul received a B.E. degree in Mechanical Engineering from JMI University, New Delhi, an M.S. in Meteorology from South Dakota School of Mines and Technology, an M.S. in Atmospheric Science, another M.S. in Computer Science, and finally a Ph.D. in Atmospheric Science from the University of Alabama Huntsville. Beyond his impressive academic credentials, he was awarded the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2009. Rahul’s research is focused on Earth Science Informatics connecting the application of computational methods and information technology to the acquisition, storage, processing, interchange, analysis and visualization of Earth Science data and information. As an Earth scientist and information technologist at the University of Alabama in Huntsville he worked almost daily with members of the GHRC. Rahul formally takes over as the DAAC Manager when he becomes a NASA civil servant on 16 December 2013. His focus on Earth Science Informatics will strengthen the DAAC and extend its reach into our research and data community.
GHRC published the guide document for the GPM Ground Validation Environment Canada (EC) Vaisala Ceilometer GCPEx dataset. The ceilometer data was collected during the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada from January 15, 2012 through March 1, 2012. The CT25K ceilometer uses pulsed diode laser LIDAR technology to derive backscatter profiles, cloud heights and vertical visibilities. It is also able to detect three cloud layers simultaneously.
The guide for two Sediment Analysis Network for Decision Support (SANDS) Landsat datasets was published. These datasets include the Sediment Analysis Network for Decision Support (SANDS) Landsat Geological Survey of AL (GSA) Analysis and the inputs for this dataset
Sediment Analysis Network for Decision Support (SANDS) Landsat Geotiff. The Geological Survey of Alabama (GSA) analyzed changes in the coastal shoreline and sedimentation using Landsat GeoTIFF images as part of the Sediment Analysis Network for Decision Support (SANDS) project. 
The daytime geoTIFF images from Landsat 5 and Landsat 7 were analyzed for sediment re-distribution after a hurricane over the Gulf of Mexico coastline in Alabama and part of the Florida area having coordinates 31 to 27 North latitude and 90 to 84.25 West longitude. These are seasonal data for storms from 2001-2008. In addition to the analyzed files, the data files include the ESRI files for zipped bands and grids, metadata, and storm temporal information for the sediment analysis images.
Dr. Rahul Ramachandran was invited to attend National Academy of Sciences' twenty-fifth annual Kavli Frontiers of Science U.S. Symposium on November 7-9, 2013. This symposium series is the Academy's premiere activity for distinguished young scientists and allows participants to explore innovative research ideas across a wide variety of fields. Dr. Ramachandran presented a poster on his research related to Earth Science data and data systems. Dr. Ramachandran is a senior research scientist with the University of Alabama in Huntsville’s Information Technology and Systems Center (ITSC) and the Global Hydrology Resource Center, a NASA data center jointly operated by Marshall Space Flight Center and ITSC.
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