Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study
Abstract
A recently developed technique retrieving the binned raindrop size distributions (DSDs) and air state parameters from ground-based Ka and W-band radars Doppler spectra profiles is improved and applied to a typical midlatitude rain event. The retrievals are thoroughly validated against DSD observations of a 2D video disdrometer and independent X-band observations. Here for this case-study, profiles of rain rate, R, mean volume diameter and concentration parameter are retrieved, with low bias and standard deviations. In light rain (0.1 < R < 1 mm h-1), the radar reflectivities must be calibrated with a collocated disdrometer which introduces random errors due to sampling mismatch between the two instruments. The best performances are obtained in moderate rain (1 < R < 20 mm h-1) where the retrieval is providing self-consistent estimates of the absolute calibration and of the attenuation caused by antenna or radome wetness for both radars.
- Authors:
-
[1];
[2];
- Univ. of Leicester (United Kingdom). Dept. of Physics and Astronomy
- Univ. of Leicester (United Kingdom). Dept. of Physics and Astronomy; Univ. of Leicester (United Kingdom). Natural Environment Research Council (NERC), National Centre for Earth Observation (NCEO)
- Brookhaven National Lab. (BNL), Upton, NY (United States). Atmospheric Sciences Division
- Stony Brook Univ., NY (United States). School of Marine and Atmospheric Sciences
- Publication Date:
- Research Org.:
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1376170
- Report Number(s):
- BNL-114145-2017-JA
Journal ID: ISSN 0035-9009; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
- Grant/Contract Number:
- SC0012704; NE/L007169/1
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Quarterly Journal of the Royal Meteorological Society
- Additional Journal Information:
- Journal Volume: 143; Journal Issue: 704; Journal ID: ISSN 0035-9009
- Publisher:
- Royal Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; drop size distribution; rain microphysics; midlatitude precipitation; dual-wavelength radar
Citation Formats
Tridon, F., Battaglia, A., Luke, E., and Kollias, P. Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study. United States: N. p., 2017.
Web. doi:10.1002/qj.3010.
Tridon, F., Battaglia, A., Luke, E., & Kollias, P. Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study. United States. https://doi.org/10.1002/qj.3010
Tridon, F., Battaglia, A., Luke, E., and Kollias, P. Fri .
"Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study". United States. https://doi.org/10.1002/qj.3010. https://www.osti.gov/servlets/purl/1376170.
@article{osti_1376170,
title = {Rain retrieval from dual-frequency radar Doppler spectra: validation and potential for a midlatitude precipitating case-study},
author = {Tridon, F. and Battaglia, A. and Luke, E. and Kollias, P.},
abstractNote = {A recently developed technique retrieving the binned raindrop size distributions (DSDs) and air state parameters from ground-based Ka and W-band radars Doppler spectra profiles is improved and applied to a typical midlatitude rain event. The retrievals are thoroughly validated against DSD observations of a 2D video disdrometer and independent X-band observations. Here for this case-study, profiles of rain rate, R, mean volume diameter and concentration parameter are retrieved, with low bias and standard deviations. In light rain (0.1 < R < 1 mm h-1), the radar reflectivities must be calibrated with a collocated disdrometer which introduces random errors due to sampling mismatch between the two instruments. The best performances are obtained in moderate rain (1 < R < 20 mm h-1) where the retrieval is providing self-consistent estimates of the absolute calibration and of the attenuation caused by antenna or radome wetness for both radars.},
doi = {10.1002/qj.3010},
journal = {Quarterly Journal of the Royal Meteorological Society},
number = 704,
volume = 143,
place = {United States},
year = {2017},
month = {1}
}
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