The Influence of Radiation on the Prediction of Tropical Cyclone Intensification in a Forecast Model

Wu, S.‐N.; Soden, B. J.; Alaka, G. J.

doi:10.1029/2022GL099442

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The Influence of Radiation on the Prediction of Tropical Cyclone Intensification in a Forecast Model

2023
By Wu, S.‐N. ; Soden, B. J. ; Alaka, G. J.
Source: Geophysical Research Letters, 50, e2022GL099442

[PDF-1.23 MB]

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Journal Title:

Geophysical Research Letters
Personal Author:

Wu, S.‐N. ; Soden, B. J. ; Alaka, G. J.

Wu, S.‐N. ; Soden, B. J. ; Alaka, G. J. Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory)

OAR (Oceanic and Atmospheric Research) ; AOML (Atlantic Oceanographic and Meteorological Laboratory) Less -
Description:

This study examines the influence of radiative heating on the prediction of tropical cyclone (TC) intensification in the Hurricane Weather Research and Forecasting (HWRF) model. Previous idealized modeling and observational studies demonstrated that radiative heating can substantially modulate the evolution of TC intensity. However, the relevance of this process under realistic conditions remains unclear. Here, we use observed longwave radiative heating to explore the performance of TC forecasts in HWRF simulations. The performance of TC intensity forecasts is then investigated in the context of radiative heating forecasts. In observations and HWRF forecasts, high clouds near the TC center increase the convergence of radiative fluxes. A sharp spatial gradient (≥60 W/m2) in the flux convergence from the TC center outward toward the environment is associated with subsequent TC intensification. More accurate simulation of the spatial structure of longwave radiative heating is associated with more accurate TC intensity forecasts.
Keywords:

[+]

Cyclones Numerical Weather Forecasting Radiation General Earth And Planetary Sciences Geophysics Hurricane Forecasting Hurricane Model Radiation Radiative Feedback Tropical Cyclone
Source:

Geophysical Research Letters, 50, e2022GL099442
DOI:

https://doi.org/10.1029/2022GL099442
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PDF
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Journal Article
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https://creativecommons.org/licenses/by-nd/4.0/
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CC BY-NC
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Submitted
Main Document Checksum:

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urn:sha256:59d7e4355b6dc2db7a8e2335412e948268663a26b51e0d3d3f6bd84575a64d00
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https://repository.library.noaa.gov/view/noaa/48736/noaa_48736_DS1.pdf
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