SBU Micro Rain Radar 2 (MRR2) IMPACTS V1
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 (2020-2022). 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. 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 through February 28, 2020 in netCDF-3 and netCDF-4/CF formats.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"026:00"
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|
| contactPoint |
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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 (2020-2022). 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. 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 through February 28, 2020 in netCDF-3 and netCDF-4/CF formats. |
| distribution |
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"title": "View this dataset's publications",
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"description": "Chasing Snowstorms: The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Campaign",
"downloadURL": "https://doi.org/10.1175/BAMS-D-20-0246.1"
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"title": "Download this dataset",
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"format": "HTML",
"mediaType": "text/html",
"description": "Instructions for citing GHRC data",
"downloadURL": "https://ghrc.nsstc.nasa.gov/home/about-ghrc/citing-ghrc-daac-data"
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"@type": "dcat:Distribution",
"title": "View this dataset's publications",
"format": "HTML",
"mediaType": "text/html",
"description": "Investigation of Microphysics and Precipitation for Atlantic Coast Threatening Snowstorms (Impacts): The 2022 Deployment",
"downloadURL": "https://doi.org/10.1109/IGARSS46834.2022.9883693"
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"title": "View information related to this dataset",
"format": "HTML",
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"description": "Micro Rain Radar MRR | MRR-2",
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"description": "Micro Rain Radar MRR | MRR-PRO",
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"title": "View information related to this dataset",
"format": "PDF",
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"description": "Micro Rain Radar MRR-2 Data Sheet",
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"title": "View information related to this dataset",
"format": "PDF",
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"description": "Micro Rain Radar MRR-PRO Data Sheet",
"downloadURL": "https://metek.de/wp-content/uploads/2016/12/20180206_Datenblatt_MRR-PRO.pdf"
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"title": "Google Scholar search results",
"format": "HTML",
"mediaType": "text/html",
"description": "Search results for publications that cite this dataset by its DOI.",
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"@type": "dcat:Distribution",
"title": "View documentation related to this dataset",
"format": "PDF",
"mediaType": "application/pdf",
"description": "The guide document contains detailed information about the dataset",
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|
| identifier | C1995869658-GHRC_DAAC |
| issued | 2022-03-23 |
| keyword |
[
"atmosphere",
"atmospheric-radiation",
"atmospheric-water-vapor",
"clouds",
"earth-science",
"precipitation",
"radar",
"spectral-engineering"
]
|
| landingPage | https://doi.org/10.5067/IMPACTS/MRR/DATA101 |
| language |
[
"en-US"
]
|
| modified | 2025-03-31 |
| programCode |
[
"026:001"
]
|
| publisher |
{
"name": "NASA/MSFC/GHRC",
"@type": "org:Organization"
}
|
| spatial | -74.0168 40.7182 -72.864 40.975 |
| temporal | 2020-01-01T00:00:00Z/2020-02-28T23:59:56Z |
| theme |
[
"IMPACTS",
"geospatial"
]
|
| title | SBU Micro Rain Radar 2 (MRR2) IMPACTS V1 |
