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Title: The development of rainfall retrievals from radar at Darwin

Abstract

The U.S. Department of Energy Atmospheric Radiation Measurement program Tropical Western Pacific site hosted a C-band polarization (CPOL) radar in Darwin, Australia. It provides 2 decades of tropical rainfall characteristics useful for validating global circulation models. Rainfall retrievals from radar assume characteristics about the droplet size distribution (DSD) that vary significantly. To minimize the uncertainty associated with DSD variability, new radar rainfall techniques use dual polarization and specific attenuation estimates. This study challenges the applicability of several specific attenuation and dual-polarization-based rainfall estimators in tropical settings using a 4-year archive of Darwin disdrometer datasets in conjunction with CPOL observations. This assessment is based on three metrics: statistical uncertainty estimates, principal component analysis (PCA), and comparisons of various retrievals from CPOL data. The PCA shows that the variability in R can be consistently attributed to reflectivity, but dependence on dual-polarization quantities was wavelength dependent for 1 < R < 10 mm h-1. These rates primarily originate from stratiform clouds and weak convection (median drop diameters less than 1.5 mm). The dual-polarization specific differential phase and differential reflectivity increase in usefulness for rainfall estimators in times with R > 10 mm h-1. Rainfall estimates during these conditions primarily originate from deep convectivemore » clouds with median drop diameters greater than 1.5 mm. An uncertainty analysis and intercomparison with CPOL show that a Colorado State University blended technique for tropical oceans, with modified estimators developed from video disdrometer observations, is most appropriate for use in all cases, such as when 1 < R < 10 mm h-1 (stratiform rain) and when R > 10 mm h-1 (deeper convective rain).« less

Authors:
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Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center; Argonne National Laboratory (ANL), Argonne, IL (United States). Laboratory Computing Resource Center (LCRC); Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Oceanic and Atmospheric Administration (NOAA)
Contributing Org.:
PNNL
OSTI Identifier:
1755464
Alternate Identifier(s):
OSTI ID: 1756293; OSTI ID: 1760169; OSTI ID: 1776800
Report Number(s):
BNL-220773-2021-JAAM
Journal ID: ISSN 1867-8548
Grant/Contract Number:  
SC0017977; AC02-06CH11357; SC0012704; SC0014063
Resource Type:
Published Article
Journal Name:
Atmospheric Measurement Techniques (Online)
Additional Journal Information:
Journal Name: Atmospheric Measurement Techniques (Online) Journal Volume: 14 Journal Issue: 1; Journal ID: ISSN 1867-8548
Publisher:
European Geosciences Union
Country of Publication:
Germany
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Jackson, Robert, Collis, Scott, Louf, Valentin, Protat, Alain, Wang, Die, Giangrande, Scott, Thompson, Elizabeth J., Dolan, Brenda, and Powell, Scott W. The development of rainfall retrievals from radar at Darwin. Germany: N. p., 2021. Web. doi:10.5194/amt-14-53-2021.
Jackson, Robert, Collis, Scott, Louf, Valentin, Protat, Alain, Wang, Die, Giangrande, Scott, Thompson, Elizabeth J., Dolan, Brenda, & Powell, Scott W. The development of rainfall retrievals from radar at Darwin. Germany. https://doi.org/10.5194/amt-14-53-2021
Jackson, Robert, Collis, Scott, Louf, Valentin, Protat, Alain, Wang, Die, Giangrande, Scott, Thompson, Elizabeth J., Dolan, Brenda, and Powell, Scott W. Mon . "The development of rainfall retrievals from radar at Darwin". Germany. https://doi.org/10.5194/amt-14-53-2021.
@article{osti_1755464,
title = {The development of rainfall retrievals from radar at Darwin},
author = {Jackson, Robert and Collis, Scott and Louf, Valentin and Protat, Alain and Wang, Die and Giangrande, Scott and Thompson, Elizabeth J. and Dolan, Brenda and Powell, Scott W.},
abstractNote = {The U.S. Department of Energy Atmospheric Radiation Measurement program Tropical Western Pacific site hosted a C-band polarization (CPOL) radar in Darwin, Australia. It provides 2 decades of tropical rainfall characteristics useful for validating global circulation models. Rainfall retrievals from radar assume characteristics about the droplet size distribution (DSD) that vary significantly. To minimize the uncertainty associated with DSD variability, new radar rainfall techniques use dual polarization and specific attenuation estimates. This study challenges the applicability of several specific attenuation and dual-polarization-based rainfall estimators in tropical settings using a 4-year archive of Darwin disdrometer datasets in conjunction with CPOL observations. This assessment is based on three metrics: statistical uncertainty estimates, principal component analysis (PCA), and comparisons of various retrievals from CPOL data. The PCA shows that the variability in R can be consistently attributed to reflectivity, but dependence on dual-polarization quantities was wavelength dependent for 1 < R < 10 mm h-1. These rates primarily originate from stratiform clouds and weak convection (median drop diameters less than 1.5 mm). The dual-polarization specific differential phase and differential reflectivity increase in usefulness for rainfall estimators in times with R > 10 mm h-1. Rainfall estimates during these conditions primarily originate from deep convective clouds with median drop diameters greater than 1.5 mm. An uncertainty analysis and intercomparison with CPOL show that a Colorado State University blended technique for tropical oceans, with modified estimators developed from video disdrometer observations, is most appropriate for use in all cases, such as when 1 < R < 10 mm h-1 (stratiform rain) and when R > 10 mm h-1 (deeper convective rain).},
doi = {10.5194/amt-14-53-2021},
journal = {Atmospheric Measurement Techniques (Online)},
number = 1,
volume = 14,
place = {Germany},
year = {Mon Jan 04 00:00:00 EST 2021},
month = {Mon Jan 04 00:00:00 EST 2021}
}

Journal Article:
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https://doi.org/10.5194/amt-14-53-2021

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