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SBU Parsivel IMPACTS V1

Published by NASA/MSFC/GHRC | National Aeronautics and Space Administration | Catalog Last Checked: February 07, 2026 at 08:31 PM | Dataset Last Updated: March 31, 2025
The SBU Parsivel IMPACTS dataset consists of precipitation data collected by the Parsivel disdrometer in support of 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 (2020-2022). 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. The Parsivel disdrometer data include particle size distribution, fall speed, radar reflectivity and precipitation rate. The dataset files are available in netCDF-3 format from January 1 through February 27, 2020.

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Complete Metadata
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accessLevel public
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description The SBU Parsivel IMPACTS dataset consists of precipitation data collected by the Parsivel disdrometer in support of 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 (2020-2022). 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. The Parsivel disdrometer data include particle size distribution, fall speed, radar reflectivity and precipitation rate. The dataset files are available in netCDF-3 format from January 1 through February 27, 2020.
distribution 
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    "description": "Parsivel (Laser Optical) Disdrometer",
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identifier C1995869692-GHRC_DAAC
issued 2022-03-23
keyword 
[
  "atmosphere",
  "clouds",
  "earth-science",
  "precipitation",
  "radar",
  "spectral-engineering"
]
landingPage https://doi.org/10.5067/IMPACTS/PARSIVEL/DATA101
language 
[
  "en-US"
]
modified 2025-03-31
programCode 
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publisher 
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  "@type": "org:Organization"
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spatial -74.0071 40.7279 -73.02 40.975
temporal 2020-01-01T00:00:00Z/2020-02-27T23:59:00Z
theme 
[
  "IMPACTS",
  "geospatial"
]
title SBU Parsivel IMPACTS V1

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