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Characteristics of DSD Bulk Parameters: Implication to Radar Rain RetrievalWith the use of 213,456 one-minute measured data of droplet-size distribution (DSD) of rain collected during several National Aeronautics and Space Administration (NASA)-sponsored field campaigns, the relationships between rainfall rate R, mass-weighted diameter D(m) and normalized intercept parameter N(w) of the gamma DSD are studied. It is found, based on the simulations of the gamma DSD model, that R, D(m) and N(w) are closely interrelated, and that the ratio of R to N(w) is solely a function of D(m), independent of the shape factor μ of the gamma distribution. Furthermore, the model-produced ratio agrees well with those from the DSD data. When a power-law equation is applied to fit the model data, we have: R=aN(w)D(sup b, sub m) , where a=1.588×10(exp −4) , b=4.706 . Analysis of two-parameter relationships such as R–D(m), N(w)–R and N(w)–D(m) reveals that R and D(m) are moderately correlated while N(w) and D(m) are negatively correlated. N(w) and R, however, are uncorrelated. The gamma DSD model also reveals that variation of R–D(m) relation is caused primarily by N(w). For the application of the Ku- and Ka-band dual-frequency radar for the retrieval of the DSD bulk parameters as well as the specific radar attenuations, the study is carried out to relate the dual-frequency radar reflectivity factors to the DSD and attenuation parameters.
Document ID
20205003917
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Liang Liao
(Morgan State University Baltimore, Maryland, United States)
Robert Meneghini
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Toshio Iguchi
(University of Maryland, College Park College Park, Maryland, United States)
Ali Tokay
(University of Maryland, Baltimore County Baltimore, Maryland, United States)
Date Acquired
June 26, 2020
Publication Date
June 25, 2020
Publication Information
Publication: Atmosphere
Publisher: MDPI
Volume: 11
Issue: 6
Issue Publication Date: June 1, 2020
e-ISSN: 2073-4433
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: NNG11HP16A
CONTRACT_GRANT: NNH18ZDA001N-PMMST
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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