Cloud Physics LiDAR (CPL) IMPACTS V1
The Cloud Physics LiDAR (CPL) IMPACTS dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR (CPL) onboard the NASA ER-2 high-altitude research aircraft 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 (2020-2023). 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. The dataset files are available in HDF-5 format from January 15, 2020 through February 28, 2022.
Complete Metadata
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|---|---|
| accessLevel | public |
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| description | The Cloud Physics LiDAR (CPL) IMPACTS dataset consists of backscatter coefficient, lidar depolarization ratio, layer top/base height, layer type, particulate extinction coefficient, ice water content, and layer/cumulative optical depth data collected from the Cloud Physics LiDAR (CPL) onboard the NASA ER-2 high-altitude research aircraft 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 (2020-2023). 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. The dataset files are available in HDF-5 format from January 15, 2020 through February 28, 2022. |
| distribution |
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"description": "Airborne lidar measurements of aerosol optical properties during SAFARI-2000",
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"description": "NASA Armstrong Fact Sheet: ER-2 High-Altitude Airborne Science Aircraft",
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"description": "On the spectral dependence of backscatter from cirrus clouds: Assessing CALIOP’s 1064 nm calibration assumptions using cloud physics lidar measurements",
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|
| identifier | C1995565938-GHRC_DAAC |
| issued | 2022-03-23 |
| keyword |
[
"aerosols",
"atmosphere",
"atmospheric-radiation",
"earth-science",
"lidar",
"spectral-engineering"
]
|
| landingPage | https://doi.org/10.5067/IMPACTS/CPL/DATA101 |
| language |
[
"en-US"
]
|
| modified | 2025-04-01 |
| programCode |
[
"026:001"
]
|
| publisher |
{
"name": "NASA/MSFC/GHRC",
"@type": "org:Organization"
}
|
| spatial | -117.23 31.0727 -64.8937 47.6958 |
| temporal | 2020-01-15T17:55:40Z/2022-02-28T18:53:58Z |
| theme |
[
"IMPACTS",
"geospatial"
]
|
| title | Cloud Physics LiDAR (CPL) IMPACTS V1 |
