Assessment of FY-3D SST Data on Typhoon In-Fa Simulation

Sea surface temperature (SST) plays an important role in the typhoon forecast. By comparison, satellite retrieval products can provide more accurate SST data than reanalysis data in typhoon simulations. However, the effect of SST data from Chinese Fengyun-3 (FY-3) satellites on typhoon simulation ha...

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Main Authors: Chun Yang, Jingyu Li
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/14/1/101
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author Chun Yang
Jingyu Li
author_facet Chun Yang
Jingyu Li
author_sort Chun Yang
collection DOAJ
description Sea surface temperature (SST) plays an important role in the typhoon forecast. By comparison, satellite retrieval products can provide more accurate SST data than reanalysis data in typhoon simulations. However, the effect of SST data from Chinese Fengyun-3 (FY-3) satellites on typhoon simulation hasn’t been evaluated yet. In this paper, the impact of FY-3D SST retrieval data with ascending and descending orbits on the forecast of typhoon In-Fa, 2021, is investigated with the Weather Research Forecast (WRF) model. Compared to the control experiments with SST data from Global Data Assimilation System (GDAS) data, the replacement experiments with FY-3D SST data significantly improve the forecast of typhoon central sea level pressure, track, and precipitation. Especially, the SST from the descending orbit satellite data provides the optimal track and intensity forecast, which are verified against the best track data from the Japan Meteorological Agency.
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spelling doaj.art-7a6d13c19a4b4be48509a8f615bb22c52023-11-30T21:09:24ZengMDPI AGAtmosphere2073-44332023-01-0114110110.3390/atmos14010101Assessment of FY-3D SST Data on Typhoon In-Fa SimulationChun Yang0Jingyu Li1Key Laboratory of Meteorological Disaster of Ministry of Education (KLME)/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science & Technology, Nanjing 210044, ChinaHebei Airlines Co., Ltd., Shijiazhuang 050800, ChinaSea surface temperature (SST) plays an important role in the typhoon forecast. By comparison, satellite retrieval products can provide more accurate SST data than reanalysis data in typhoon simulations. However, the effect of SST data from Chinese Fengyun-3 (FY-3) satellites on typhoon simulation hasn’t been evaluated yet. In this paper, the impact of FY-3D SST retrieval data with ascending and descending orbits on the forecast of typhoon In-Fa, 2021, is investigated with the Weather Research Forecast (WRF) model. Compared to the control experiments with SST data from Global Data Assimilation System (GDAS) data, the replacement experiments with FY-3D SST data significantly improve the forecast of typhoon central sea level pressure, track, and precipitation. Especially, the SST from the descending orbit satellite data provides the optimal track and intensity forecast, which are verified against the best track data from the Japan Meteorological Agency.https://www.mdpi.com/2073-4433/14/1/101satellite SST productFY-3Dtyphoon In-FaWRF model
spellingShingle Chun Yang
Jingyu Li
Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
Atmosphere
satellite SST product
FY-3D
typhoon In-Fa
WRF model
title Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
title_full Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
title_fullStr Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
title_full_unstemmed Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
title_short Assessment of FY-3D SST Data on Typhoon In-Fa Simulation
title_sort assessment of fy 3d sst data on typhoon in fa simulation
topic satellite SST product
FY-3D
typhoon In-Fa
WRF model
url https://www.mdpi.com/2073-4433/14/1/101
work_keys_str_mv AT chunyang assessmentoffy3dsstdataontyphooninfasimulation
AT jingyuli assessmentoffy3dsstdataontyphooninfasimulation