The GPM Ground Validation KRAX NEXRAD IPHEx dataset contain data from the KRAX NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM) and evaluate Quantitative Precipitation Estimation (QPE) products for hydrologic forecasting in the southeast region of the United States. NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. These images extend from May 1, 2014 through June 12, 2014 as part of the GPM Ground Validation IPHEx datasets. The NEXRAD datasets contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.

The GPM Ground Validation KRTX NEXRAD OLYMPEX dataset contains data from selected NEXt Generation Weather RADar system (NEXRAD) instruments in operation during the Olympic Mountains Experiment (OLYMPEX) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Datasets gathered from three NEXRAD stations, as listed below, extend from 03 November 2015 through 01 May 2016 as part of the GPM Ground Validation OLYMPEX data. This dataset contain browse images of base reflectivity observations in the Portable Network Graphic (PNG) format. Base radar reflectivity is the measure of transmitted power returned to the radar after intercepting a target, for example, rain droplets. This information can illustrate the amount and size distribution of water particles in a given unit volume of atmosphere.

The GPM Ground Validation NEXRAD Level III KDMX IFloodS dataset contain precipitation products derived from selected NEXt Generation Weather RADar system (NEXRAD) radars in operation during the Iowa Flood Studies (IFloodS) field campaign to help support the ground validation of the Global Precipitation Measurement (GPM). NEXRAD is a network of 160 stationary S-Band radars dispersed throughout the United States and select locations abroad. Data were gathered from four NEXRAD stations in the vicinity of the IFloodS campaign during March 29, 2013 through June 18, 2013. This dataset contains data files of digital instantaneous precipitation rate (DPR) and storm total accumulation estimates (DTA) in NIDS binary format.

The KDIX NEXRAD IMPACTS dataset consists of Next Generation Weather Radar (NEXRAD) Level II surveillance data that were collected at 31 NEXRAD sites from January 1 to March 1, 2020 during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast. The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. There are currently 160 Weather Surveillance Radar-1988 Doppler (WSR-88D) or NEXRAD sites throughout the United States and abroad. This Level II dataset contains meteorological and dual-polarization base data quantities including: radar reflectivity, radial velocity, spectrum width, differential reflectivity, differential phase, and cross correlation ratio. The IMPACTS NEXRAD Level II data files are available in netCDF-4 format. It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.