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SBU Micro Rain Radar 2 (MRR2) IMPACTS

Published by NASA/MSFC/GHRC | National Aeronautics and Space Administration | Catalog Last Checked: June 25, 2026 at 01:59 PM | Dataset Last Updated: June 23, 2026
The SBU Micro Rain Radar 2 (MRR-2) IMPACTS dataset consists of reflectivity, Doppler velocity, signal-to-noise ratio, spectral width, droplet size, Liquid Water Content, melting layer, drop size distribution, rain attenuation, rain rate, and radial velocity data collected 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 (2020-2023). 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. Both the MRR-2 and the MRR-PRO instruments were used to collect data for this dataset. The dataset files are available from January 1, 2020 through March 2, 2023 in netCDF-3 and netCDF-4/CF formats.

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Complete Metadata
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accessLevel public
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description The SBU Micro Rain Radar 2 (MRR-2) IMPACTS dataset consists of reflectivity, Doppler velocity, signal-to-noise ratio, spectral width, droplet size, Liquid Water Content, melting layer, drop size distribution, rain attenuation, rain rate, and radial velocity data collected 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 (2020-2023). 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. Both the MRR-2 and the MRR-PRO instruments were used to collect data for this dataset. The dataset files are available from January 1, 2020 through March 2, 2023 in netCDF-3 and netCDF-4/CF formats.
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identifier 10.5067/IMPACTS/MRR/DATA101
keyword 
[
  "earth-science-atmospheric-radiation-atmosphere-reflectance",
  "earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators",
  "earth-science-clouds-atmosphere-cloud-microphysics",
  "earth-science-precipitation-atmosphere-droplet-size",
  "earth-science-precipitation-atmosphere-liquid-precipitation",
  "earth-science-precipitation-atmosphere-liquid-water-equivalent",
  "earth-science-precipitation-atmosphere-precipitation-profiles",
  "earth-science-precipitation-atmosphere-precipitation-rate",
  "earth-science-radar-spectral-engineering-doppler-velocity",
  "earth-science-radar-spectral-engineering-radial-velocity",
  "earth-science-radar-spectral-engineering-spectrum-width"
]
license https://www.usa.gov/government-works
modified 2026-06-23
programCode 
[
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publisher 
{
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spatial 
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temporal 2020-01-01/2023-03-02
theme 
[
  "Earth Science"
]
title SBU Micro Rain Radar 2 (MRR2) IMPACTS

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