Precipitation Estimation from the ARM Distributed Radar Network during the MC3E Campaign

Giangrande, Scott E.; Collis, Scott; Theisen, Adam K.; Tokay, Ali

doi:10.1175/JAMC-D-13-0321.1

Title: Precipitation Estimation from the ARM Distributed Radar Network during the MC3E Campaign

Journal Article · Fri Sep 12 00:00:00 EDT 2014 · Journal of Applied Meteorology and Climatology

DOI:https://doi.org/10.1175/JAMC-D-13-0321.1· OSTI ID:1395161

Giangrande, Scott E. ^[1]; Collis, Scott ^[2]; Theisen, Adam K. ^[3]; Tokay, Ali ^[4]

Brookhaven National Lab. (BNL), Upton, NY (United States)
Argonne National Lab. (ANL), Argonne, IL (United States)
Univ. of Oklahoma, Norman, OK (United States)
Univ. of Maryland Baltimore County (UMBC), Baltimore, MD (United States); NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)

This study presents radar-based precipitation estimates collected during the two-month DOE ARM - NASA Midlatitude Continental Convective Clouds Experiment (MC3E). Emphasis is on the usefulness of radar observations from the C-band and X-band scanning ARM precipitation radars (CSAPR, XSAPR) for rainfall estimation products to distances within 100 km of the Oklahoma SGP facility. A dense collection of collocated ARM, NASA GPM and nearby surface Oklahoma Mesonet gauge records are consulted to evaluate potential ARM radar-based hourly rainfall products and campaign optimized methods over individual gauge and areal characterizations. Rainfall products are evaluated against the performance of the regional operational NWS NEXRAD S-band radar polarimetric product. Results indicate that the ARM C-band system may achieve similar point and areal-gauge bias and root mean square (rms) error performance to the NEXRAD standard for the variety of MC3E deep convective events sampled when capitalizing on differential phase measurements. The best campaign rainfall performance was achieved when applying radar relations capitalizing on estimates of the specific attenuation from the CSAPR system. The ARM X-band systems only demonstrate solid capabilities as compared to NEXRAD standards for hourly point and areal rainfall accumulations under 10 mm. Here, all methods exhibit a factor of 1.5 to 2.5 reduction in rms errors for areal accumulations over a 15 km2 NASA dense network housing 16 sites having collocated bucket gauges, with the higher error reductions best associated with polarimetric methods.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1395161

Journal Information:: Journal of Applied Meteorology and Climatology, Vol. 53, Issue 9; ISSN 1558-8424

Publisher:: American Meteorological SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 33 works

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