GHRC has installed and configured a new disk-based Sun Storage 720 archive.  Systems administrators and data managers are planning directory layout, archive processes and migration from the existing tape-based Sun Storage L700 system.  The new archive will start with 100 TB (usable) and is scalable to up to 2.6 PB raw capacity.


MC3E logoGHRC has completed documentation for the four GPM Ground Validation NOAA S-Band Profiler datasets and two GPM Ground Validation NOAA UHF 449 Profiler datasets from the Midlatitude Continental Convective Clouds Experiment (MC3E), a GPM Ground Validation field campaign.


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GHRC added  the GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) GCPEx dataset to its GPM GCPEX dataset collection.  Collected from six sites in Ontario, Canada, the data contains daily ASCII files with information on individual snowflakes and hydrometeors, and also binary files preprocessed from raw camera data. Overall data dates range from 27 October 2011 through 27 February 2012 depending on the specific site. GHRC also has related 2DVD datasets for data from the LPVEX and  MC3E experiments and data collected at the National Space Science and Technology Center (NSSTC).


GHRC is supporting the ongoing Global Precipitation Mission (GPM) Ground Validation Iowa Flood Studies (IFloodS) Field Experiment with a collaboration portal for the mission science team which provides for near-real time data acquisition; data access, visualization and map-based display; and science and instrument status reports.  IFloodS is featured on the EarthData web site as the DAAC Image of the Week.


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GHRC completed the guide for the GPM Ground Validation Oklahoma Climatological Survey Mesonet MC3E dataset. The data was collected by a network of weather stations in central Oklahoma during the Midlatitude Continental Convective Clouds Experiment (MC3E) in the April-June 2011 timeframe, and is composed of 15 minute and 5 minute files with one file per site per day in MTS format, the standard format used for mesonet data. Data can be read as ASCII text. Multiple parameters found in this dataset include relative humidity, air temperature, wind speed and direction, precipitation and calibrated soil moisture.


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