GHRC News

The GHRC DAAC staff published a new data recipe titled "Infrared Global Geostationary Composite Quick View". This data recipe provides instructions on how to use a Python script to convert Infrared Global Geostationary Composite McIDAS data available at the GHRC DAAC into PNG format and display the infrared composite as an image outside of McIDAS software. 

The initial “beta” datasets from the Lightning Imaging Sensor on the International Space Station (ISS LIS) are now in soft release at the GHRC DAAC, available online but not yet cataloged and published. These data include standard and near-real-time products containing lightning observations and background imagery. The GHRC is currently generating products from the beginning of the mission (March 1) forward. The datasets will be published when the back-processing is complete.

Will Ellett, GHRC’s project manager for the Lightning Imaging Sensor on the International Space Station (ISS LIS), attended the 6th Annual International Space Station Research and Development Conference, held July 17-20 in Washington DC.  Ellett presented a poster on “ISS LIS Activation, Assessment and Operation in the First Six Months,” which was developed jointly by the ISS LIS Science Team and GHRC staff.

Dr. Jack Kaye, Associate Director for Research of the Earth Science Division (ESD) within NASA’s Science Mission Directorate (SMD), visited NASA MSFC’s Earth science researchers at the National Space Science Technology Center in Huntsville, AL on July 6-7.  GHRC DAAC Manager Dr. Rahul Ramachandran, Deputy Manil Maskey, and Operations Manager Helen Conover discussed the GHRC DAAC in the context of their ongoing and upcoming geoinformatics research.

The GHRC DAAC has published two datasets from the Global Precipitation Measurement (GPM) mission Ground Validation (GV) program.

  • GPM Ground Validation Micro Rain Radar (MRR) OLYMPEX dataset.  This dataset contains measured and derived data from MRR instruments placed in four separate locations within the study region. The MRR is a Biral/Metek 24 GHz (K-band) vertically oriented Frequency Modulated Continuous Wave (FM-CW) radar that measures signal backscatter from which Doppler spectra, radar reflectivity, Doppler velocity, drop size distribution, rain rate, liquid water content, and path integrated attenuation are derived.   Data were collected from October 31, 2014 through May 22, 2016, during the Olympic Mountains Experiment (OLYMPEX).  DOI: 10.5067/GPMGV/OLYMPEX/MRR/DATA201
  • GPM Ground Validation United States Department of Agriculture (USDA) Agricultural Research Service (ARS) Soil Moisture IFloodS dataset.  A total of 15 stations were deployed near the South Fork River in North Central Iowa. The soil moisture probes measure hourly instantaneous measurements of the real dielectric permittivity, soil temperature, bulk electrical conductivity, and volumetric soil moisture. This dataset also consists of precipitation amount, air temperature, relative humidity, vapor pressure, wind speed, wind direction, and solar radiation measurements.  Data were collected from April 17, 2013 through June 4, 2013, during the Iowa Flood Studies (IFloodS) Field Experiment.  DOI: 10.5067/GPMGV/IFLOODS/PROBES/DATA301

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