A Study of Simultaneous Assimilation of Coastal Ground‐Based and Airborne Radar Observations on the Prediction of Harvey (2017) With the Hourly 3DEnVar System for HWRF

Lu, Xu; Wang, Xuguang

doi:10.1029/2022jd037681

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A Study of Simultaneous Assimilation of Coastal Ground‐Based and Airborne Radar Observations on the Prediction of Harvey (2017) With the Hourly 3DEnVar System for HWRF

2023
By Lu, Xu ; Wang, Xuguang
Source: Journal of Geophysical Research: Atmospheres, 128(6)

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Journal Title:

Journal of Geophysical Research: Atmospheres
Personal Author:

Lu, Xu ; Wang, Xuguang

Lu, Xu ; Wang, Xuguang Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research)
Description:

This study investigates the relative impact of assimilating the ground‐based WSR‐88D radar (GBR) and the airborne Tail Doppler Radar (TDR) observations on the analysis and prediction of Hurricane Harvey (2017) during its landfalling stage. Results show that the assimilation of GBR (experiment “DAG”) outperforms the assimilation of TDR (experiment “DAT”) in multiple aspects. For example, “DAG” produces better predictions in Vmax, radial velocity, brightness temperature, and precipitation than “DAT.” The advantages of “DAG” over “DAT” are likely from the better analyzed thermodynamical structures in addition to the better data availability. The average Minimum Sea Level Pressure (MSLP) prediction error is the only aspect of “DAG” that is inferior to “DAT.” Diagnostics show that such an inferior performance of MSLP for “DAG” is associated with the systematic bias from the Hurricane Weather Research and Forecasting model. The combined assimilation of both observations (experiment “DAB”) shows complementary effects and performs the best overall among all experiments.
Keywords:

[+]

Atmospheric Science Earth And Planetary Sciences (miscellaneous) Geophysics Space And Planetary Science
Source:

Journal of Geophysical Research: Atmospheres, 128(6)
DOI:

https://doi.org/10.1029/2022jd037681
ISSN:

2169-897X;2169-8996;
Format:

PDF
Publisher:

American Geophysical Union (AGU)
Document Type:

Journal Article
Funding:

Grant no. NA16OAR4320115
Rights Information:

Other
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Library
Main Document Checksum:

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urn:sha256:68531ca8b8e810267b9fea419ea4290df90d0278d9290d37df210abb5ff51c4d
Download URL:

https://repository.library.noaa.gov/view/noaa/59751/noaa_59751_DS1.pdf
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