U.S. Department of EnergyOffice of Scientific and Technical Information
CSAPR2 CMAC 2.0 level c1 data.
Abstract
Raw data from ARM precipitation radars must be corrected for atmospheric phenomena and instrument characteristics (e.g., attenuation, clutter) to retrieve precipitation properties. The Corrected Moments in Antenna Coordinates Version 2 (CMAC2) value-added product (VAP) is a set of algorithms and code that does such corrections, and it also retrieves precipitation quantities from the radar measurements. Similar to the X-SAPR radars at the ARM main site, C-SAPR2 radar data also needs corrections and improvements. CMAC 2.0 has been updated to work with the ARM C-SAPR 2 radar. Data and fields that have been processed to: correct for velocity aliasing, unfold and generate a cross-polarimetric phase difference that is monotonically increasing, removing impulses caused by non-uniform beam filling and phase shift on backscatter, recalculate specific differential phase using a 20-point Sobel filter on the aforementioned phase, correct for liquid path attenuation using the polarimetric signals, estimate rainfall rates at the gate using the specific attenuation. In addition, CMAC writes the data out into a community-standard format netCDF File using the CF/Radial conventions. The data are therefore compatible with new and existing National Center for Atmospheric Research (NCAR) tools such as RadXConvert for converting to a variety of popular file formats.
- Authors:
-
- ORNL
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- Collaborations:
- PNNL, BNL, ANL, ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; C-Band Scanning ARM Precipitation Radar 2 (C-SAPR2),Radar reflectivity,Radar polarization,Radar Doppler,Precipitation,Hydrometeor types, ARM, DOE.
- OSTI Identifier:
- 1668872
- DOI:
- https://doi.org/10.5439/1668872
Citation Formats
Sherman, Zachary, Collis, Scott, Jackson, Robert, and Crisologo, Irene. CSAPR2 CMAC 2.0 level c1 data.. United States: N. p., 2020.
Web. doi:10.5439/1668872.
Sherman, Zachary, Collis, Scott, Jackson, Robert, & Crisologo, Irene. CSAPR2 CMAC 2.0 level c1 data.. United States. doi:https://doi.org/10.5439/1668872
Sherman, Zachary, Collis, Scott, Jackson, Robert, and Crisologo, Irene. 2020.
"CSAPR2 CMAC 2.0 level c1 data.". United States. doi:https://doi.org/10.5439/1668872. https://www.osti.gov/servlets/purl/1668872. Pub date:Fri Nov 06 04:00:00 UTC 2020
@article{osti_1668872,
title = {CSAPR2 CMAC 2.0 level c1 data.},
author = {Sherman, Zachary and Collis, Scott and Jackson, Robert and Crisologo, Irene},
abstractNote = {Raw data from ARM precipitation radars must be corrected for atmospheric phenomena and instrument characteristics (e.g., attenuation, clutter) to retrieve precipitation properties. The Corrected Moments in Antenna Coordinates Version 2 (CMAC2) value-added product (VAP) is a set of algorithms and code that does such corrections, and it also retrieves precipitation quantities from the radar measurements. Similar to the X-SAPR radars at the ARM main site, C-SAPR2 radar data also needs corrections and improvements. CMAC 2.0 has been updated to work with the ARM C-SAPR 2 radar. Data and fields that have been processed to: correct for velocity aliasing, unfold and generate a cross-polarimetric phase difference that is monotonically increasing, removing impulses caused by non-uniform beam filling and phase shift on backscatter, recalculate specific differential phase using a 20-point Sobel filter on the aforementioned phase, correct for liquid path attenuation using the polarimetric signals, estimate rainfall rates at the gate using the specific attenuation. In addition, CMAC writes the data out into a community-standard format netCDF File using the CF/Radial conventions. The data are therefore compatible with new and existing National Center for Atmospheric Research (NCAR) tools such as RadXConvert for converting to a variety of popular file formats.},
doi = {10.5439/1668872},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Nov 06 04:00:00 UTC 2020},
month = {Fri Nov 06 04:00:00 UTC 2020}
}