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  • The Performance of Three Exponential Decay Models in Estimating Tropical Cyclone Intensity Change After Landfall Over China
Title: The Performance of Three Exponential Decay Models in Estimating Tropical Cyclone Intensity Change After Landfall Over China
In this study, the performance of three exponential decay models in estimating intensity change of tropical cyclones (TCs) after landfall over China is evaluated based on the best-track TC data during 1980–2018. Results indicate that the three models evaluated can reproduce the weakening trend of TCs after landfall, but two of them (M1 and M2) tend to overestimate TC intensity and one (M3) tends to overestimate TC intensity in the first 12 h and underestimate TC intensity afterwards. M2 has the best performance with the smallest errors among the three models within 24 h after landfall. M3 has better performance than M1 in the first 20 h after landfall, but its errors increase largely afterwards. M1 and M2 show systematic positive biases in the southeastern China likely due to the fact that they have not explicitly included any topographic effect. M3 has better performance in the southeastern China, where it was originally attempted, but shows negative biases in the eastern China. The relative contributions of different factors, including landfall intensity, translational speed, 850-hPa moist static energy, and topography, to model errors are examined based on classification analyses. Results indicate that the landfall intensity contributes about 18%, translational speed, moist static energy and topography contribute equally about 15% to the model errors. It is strongly suggested that the TC characteristics and the time-dependent decay constant determined by environmental conditions, topography and land cover properties, should be considered in a good exponential decay model of TC weakening after landfall.  more » « less
Award ID(s):
1834300
PAR ID:
10318111
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
Frontiers in Earth Science
Volume:
9
ISSN:
2296-6463
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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