Lightning density plot during January 2018 'bomb cyclone'Explosive intensification of mid-latitude cyclones is sometimes referred to as ‘bombogenesis’ or a ‘bomb cyclone’. On January 4, 2018 a bomb cyclone brought hazardous winter weather to the U.S. East Coast and generated lightning that was observed from space. The Lightning Imaging Sensor (LIS) aboard the International Space Station (ISS) captured lightning along the frontal boundary of the cyclone in GHRC’s Non-Quality Controlled ISS LIS Provisional Science Data. Lightning flash locations from this dataset were used to create this density plot showing lighting occurrence from low (yellow) to high (red) densities. These lightning flash location densities are overlaid on Terra/MODIS True Color Imagery. In this image you can see the storm system moving northward off the mid-atlantic coast towards New England. Snow deposited from the bomb cyclone is shown as white areas across Virginia, Georgia and North/South Carolina.

Changes have been made to Infrared Global Geostationary Composite data:

The main revision is that the incorporation of GOES-16 data has modified the resolution of this data from 14km to 4 km. The change in resolution results in larger files. The files changed size on December 18, 2017. The updated guide provides more information.

The GPM Ground Validation Daily Precipitation OLYMPEX dataset is now available

The GPM Ground Validation Daily Precipitation Olympic Mountain Experiment (OLYMPEX) dataset consists of a single netCDF-4 data file containing estimates of daily precipitation, both rainfall and snowfall amounts, on a 1/32 degree spatial resolution grid covering the extent of the OLYMPEX field campaign region in the Olympic Mountains of the state of Washington. This data product was created for the GPM Ground Validation OLYMPEX field campaign. These VIC precipitation estimates are based on NOAA WSR-88D radar and rain gauge data incorporated in NOAA’s National Severe Storms Laboratory (NSSL) local gauge bias-corrected radar quantitative precipitation estimation (QPE) model (product Q3GC) and the Mountain Mapper QPE model (product Q3MM). The VIC hydrology model was used to invert the snow water equivalent (SWE) values to derive precipitation through adjustment of the precipitation-weighting factor on a grid cell by grid cell basis. The VIC precipitation data are available from October 1, 2015 through April 30, 2016.


GHRC DAAC is now offering the GPM Ground Validation Duke Soil Moisture IPHEx dataset:

The GPM Ground Validation Duke Soil Moisture dataset consists of a collection of various data obtained during the Integrated Precipitation and Hydrology Experiment (IPHEx) which occurred in the Southern Appalachians, spanning into the Piedmont and Coastal Plain regions of North Carolina from February 27, 2014 through October 17, 2014. The various instruments used included Theta Probes, Infrared Thermometers, 200-A Soil Core Samplers, a Global Positioning System (GPS), Soil Thermometers with Scanning L-band Active Passive (SLAP) flight concurrent survey data, and CS6161 Water Reflectometers. Data are available in a variety of formats based on instrument, including shapefiles, Excel files, Word document files, and ASCII formats. Browse images of site locations and data are available in JPG format.


GHRC DAAC has published the IFC Stream Flow IFloodS dataset:

The GPM Ground Validation Iowa Flood Center (IFC) Stream Flow IFloodS dataset was obtained from the IFC during the Iowa Flood Studies (IFloodS) field campaign that extended from March 31, 2013 through June 30, 2013. The main goal of IFloodS was to evaluate how well the GPM satellite rainfall data can be used for flood forecasting. The IFC monitors stage levels using sensors attached to the side of bridges throughout Iowa. The sensor data are downloaded from the Iowa Flood Information System (IFIS) as support data for the IFloodS campaign. The IFC Stream Flow data were collected in real-time and provide measurements at 15 minute intervals. These IFC Stream Flow IFloodS data are available in XML format.

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