Micro Rain Radar Pro Data at the Argonne Testbed for Multiscale Observational Science obtained during the CROCUS Urban Integrated Field Laboratory
Abstract
The Micro Rain Radar Pro (MRR-PRO) is a vertically pointing Ka-band Doppler radar designed to capture the fine-scale structure and evolution of precipitation. By recording the full Doppler spectrum at high temporal and spatial resolution, the MRR-PRO provides insight into both hydrometeor fall velocities and precipitation microphysics. From these spectra, key moments—reflectivity, mean Doppler velocity, spectral width, and rainfall rate—are derived and stored alongside the raw spectral data in CF/Radial 1.4-compliant files. Deployed at the Argonne Testbed for Multiscale Observational Studies (ATMOS) since November 2024, the MRR-PRO delivers vertical profiles at 70 m range resolution extending up to 4.5 km above ground level. These observations enable detailed analyses of precipitation type, intensity, and vertical structure, supporting process-level studies of cloud and precipitation dynamics in diverse weather regimes.
- Authors:
-
- Argonne National Laboratory
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Community Research on Climate and Urban Science Urban Integrated Field Laboratory (CROCUS UIFL)
- Sponsoring Org.:
- ESS-DIVE; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION; EARTH SCIENCE > ATMOSPHERE > PRECIPITATION > PRECIPITATION RATE; EARTH SCIENCE > SPECTRAL/ENGINEERING > RADAR > MEAN RADIAL VELOCITY; equivalent_reflectivity_factor
- OSTI Identifier:
- 3007008
- DOI:
- https://doi.org/10.15485/3007008
Citation Formats
Jackson, Robert, Collis, Scott, Muradyan, Paytsar, O'Brien, Joseph, Tuftedal, Matt, Anderson, Gregory, Grover, Maxwell, and Raut, Bhupendra. Micro Rain Radar Pro Data at the Argonne Testbed for Multiscale Observational Science obtained during the CROCUS Urban Integrated Field Laboratory. United States: N. p., 2025.
Web. doi:10.15485/3007008.
Jackson, Robert, Collis, Scott, Muradyan, Paytsar, O'Brien, Joseph, Tuftedal, Matt, Anderson, Gregory, Grover, Maxwell, & Raut, Bhupendra. Micro Rain Radar Pro Data at the Argonne Testbed for Multiscale Observational Science obtained during the CROCUS Urban Integrated Field Laboratory. United States. doi:https://doi.org/10.15485/3007008
Jackson, Robert, Collis, Scott, Muradyan, Paytsar, O'Brien, Joseph, Tuftedal, Matt, Anderson, Gregory, Grover, Maxwell, and Raut, Bhupendra. 2025.
"Micro Rain Radar Pro Data at the Argonne Testbed for Multiscale Observational Science obtained during the CROCUS Urban Integrated Field Laboratory". United States. doi:https://doi.org/10.15485/3007008. https://www.osti.gov/servlets/purl/3007008. Pub date:Wed Jan 01 00:00:00 UTC 2025
@article{osti_3007008,
title = {Micro Rain Radar Pro Data at the Argonne Testbed for Multiscale Observational Science obtained during the CROCUS Urban Integrated Field Laboratory},
author = {Jackson, Robert and Collis, Scott and Muradyan, Paytsar and O'Brien, Joseph and Tuftedal, Matt and Anderson, Gregory and Grover, Maxwell and Raut, Bhupendra},
abstractNote = {The Micro Rain Radar Pro (MRR-PRO) is a vertically pointing Ka-band Doppler radar designed to capture the fine-scale structure and evolution of precipitation. By recording the full Doppler spectrum at high temporal and spatial resolution, the MRR-PRO provides insight into both hydrometeor fall velocities and precipitation microphysics. From these spectra, key moments—reflectivity, mean Doppler velocity, spectral width, and rainfall rate—are derived and stored alongside the raw spectral data in CF/Radial 1.4-compliant files. Deployed at the Argonne Testbed for Multiscale Observational Studies (ATMOS) since November 2024, the MRR-PRO delivers vertical profiles at 70 m range resolution extending up to 4.5 km above ground level. These observations enable detailed analyses of precipitation type, intensity, and vertical structure, supporting process-level studies of cloud and precipitation dynamics in diverse weather regimes.},
doi = {10.15485/3007008},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 UTC 2025},
month = {Wed Jan 01 00:00:00 UTC 2025}
}
