Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California

Chen, Haonan; Cifelli, Robert; White, Allen

doi:10.1109/TGRS.2019.2949214

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Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California

2020
By Chen, Haonan ; Cifelli, Robert ; White, Allen
Source: IEEE Transactions on Geoscience and Remote Sensing, 58(3); 1821-1832.

[PDF-2.55 MB]

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Journal Title:

IEEE Transactions on Geoscience and Remote Sensing
Personal Author:

Chen, Haonan ; Cifelli, Robert ; White, Allen

Chen, Haonan ; Cifelli, Robert ; White, Allen Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere) ; CIRES (Cooperative Institute for Research in Environmental Sciences)

OAR (Oceanic and Atmospheric Research) ; PSL (Physical Sciences Laboratory) ; CIRA (Cooperative Institute for Research in the Atmosphere) ; CIRES (Cooperative Institute for Research in Environmental Sciences) Less -
Description:

Quantitative precipitation estimation (QPE) using operational weather radars in the western United States is still a challenging issue due to the beam blockage in the mountainous areas and complex rainfall microphysics induced by the orographic enhancement. This article aims to improve operational radar rainfall estimates in complex terrain by incorporating auxiliary remote sensing observations. An innovative vertical profile of reflectivity (VPR) correction scheme is developed for operational radar using observations from multiple vertically pointing profilers to represent the vertical structure of precipitation at various locations. A demonstration study in the Russian River basin in Northern California is detailed. Results show that the QPE performance is significantly improved after VPR correction, and this new VPR correction approach is superior to the conventional approach currently applied in the operational radar rainfall system. The normalized standard error of hourly rainfall estimates for the two precipitation events presented in this article is improved by 20% after applying the proposed VPR correction scheme.
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Complex Terrain Quantitative Precipitation Estimation Radar Weather
Source:

IEEE Transactions on Geoscience and Remote Sensing, 58(3); 1821-1832.
DOI:

https://doi.org/10.1109/TGRS.2019.2949214
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Journal Article
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CC BY
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Submitted
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urn:sha256:b849676ed8f40f8a9c1d2d1cddaa83b81d9e1fbe1c6e419d89775e026899abdc
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Improving Operational Radar Rainfall Estimates Using Profiler Observations Over Complex Terrain in Northern California

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