Dr. Rahul Ramachandran (NASA MSFC, GHRC DAAC Manager) and Helen Conover (UAH, GHRC DAAC Operations Manager) attended the DAAC Managers’ Meeting at NSIDC in Boulder, CO, February 25-27. This focused meeting afforded the DAAC Managers and ESDIS an opportunity to share ideas about new approaches and common concerns among the DAACs.
The Global Hydrology Resource Center (GHRC) released the GPM Ground Validation NCAR Cloud Microphysics Particle Probes GCPEx dataset containing data collected during the Global Precipitation Measurement (GPM) Cold-season Precipitation Experiment (GCPEX) for January and February 2012. Particle size distributions and particle image data, processed by NCAR, were obtained from the 2D-C Probe, the Cloud Imaging Probe (CIP) and the High Volume Precipitation Spectrometer (HVPS-3) carried aboard the University of North Dakota (UND) Cessna Citation aircraft. A related cloud microphysics dataset, GPM Ground Validation UND Citation Cloud Microphysics GCPEx is also available.
GHRC has published two GPM Ground Validation Dual-frequency Dual-polarized Dopper Radar (D3R) datasets, for the GCPEX (January and February 2012) and IFloodS (May-June 2013) campaigns. The D3R is a fully polarimetric, scanning weather radar system operating at the nominal frequencies of 13.91 GHz and 35.56 GHz covering a maximum range of 30 km. These GPM Ground Validation Dual-frequency Dual-polarized Doppler Radar (D3R) datasets are in the netCDF format. Browse images are also available in .png format.
Dr. Rahul Ramachandran (NASA MSFC, GHRC DAAC Manager), Helen Conover (UAH, GHRC DAAC Operations Manager) and Manil Maskey (UAH, GHRC Technology Infusion) attended the EED and DAAC Systems Engineering Meeting at GSFC, January 29-31. Dr. Ramachandran led a discussion on an EOSDIS-wide Innovations Lab. All three benefited from the wealth of technical information presented and many face-to-face conversations.
GHRC published the GPM Ground Validation Autonomous Parsivel Unit (APU) IFloodS dataset, collected from several sites in eastern Iowa during the spring of 2013. The APU dataset for the Iowa Flood Studies (IFloodS) Field Experiment provides precipitation data including precipitation drop size, counts, and distribution. The APU is an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville.
Have you used our data? Register for updates
