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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.
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SBU Micro Rain Radar 2 (MRR2) IMPACTS
공공데이터포털
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.
UAlbany Micro Rain Radar 2 (MRR-2) IMPACTS
공공데이터포털
The UAlbany 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. The MRR-2 instrument was used to collect data for this dataset. The dataset files are available from January 30, 2020, through February 28, 2023, in netCDF-3 and netCDF-4 format.
SBU Microwave Radiometer (MWR) IMPACTS
공공데이터포털
The SBU Microwave Radiometer (MWR) IMPACTS dataset consists of microwave radiometer 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. The dataset files are available from January 1, 2023, through March 6, 2023, in netCDF-4 format.
GPM GROUND VALIDATION MICRO RAIN RADAR (MRR) NASA IFLOODS V1
공공데이터포털
The GPM Ground Validation Micro Rain Radar (MRR) NASA IFloodS dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provided measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor during the Iowa Flood Study (IFloodS), which took place in eastern Iowa during the spring of 2013. The goals of the campaign were to collect detailed measurements of precipitation at the Earth's surface using ground instruments and advanced weather radars and, simultaneously, collect data from satellites passing overhead. A total of four MRRs were deployed, each adjacent to a two-dimensional video disdrometer (2DVD). Each MRR-2DVD site had one or more Autonomous Parsivel2 Unit (APU) with tipping bucket rain gauges either collocated or within 4-8 km away. The dataset covers the period of April 11, 2013 through June 16, 2013, but each MRR deployed may not contain data during the entirety of this period.
GPM Ground Validation Micro Rain Radar 2 (MRR-2) UConn
공공데이터포털
gpmmrr2uconn
SBU Parsivel IMPACTS
공공데이터포털
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 (2020-2023). 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 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, 2020, through March 2, 2023.
Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS V1
공공데이터포털
The Advanced Microwave Precipitation Radiometer (AMPR) IMPACTS dataset consists of brightness temperature measurements collected by the Advanced Microwave Precipitation Radiometer (AMPR) onboard the NASA ER-2 high-altitude research aircraft. AMPR provides multi-frequency microwave imagery, with high spatial and temporal resolution for deriving cloud, precipitation, water vapor and surface properties. These measurements were taken during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. Funded by NASA’s Earth Venture program, IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. Data files are available from January 18, 2020 through February 28, 2022 in netCDF-4 format.
Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS V1
공공데이터포털
The Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS dataset contains reflectivity products using the MRMS system 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. Data are available from January 1, 2022, through March 2, 2023, in netCDF-4 format.
GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) MC3E V1
공공데이터포털
The GPM Ground Validation NASA Micro Rain Radar (MRR) MC3E dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in Oklahoma during the Spring of 2011. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/).
Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS V1
공공데이터포털
The Multi-Radar/Multi-Sensor (MRMS) Precipitation Reanalysis for Satellite Validation Product IMPACTS dataset contains reflectivity products using the MRMS system 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. Data are available from January 1, 2022 through February 28, 2022 in netCDF-4 format.