Application of sea surface wind products in global atmospheric assimilation from HY-2 scatterometer: Preliminary results

Abstract The sea surface wind products retrieved from HY-2 scatterometer have become better over time, and it has contributed significantly to the development of forecasting abilities. This article compares the sea surface wind products obtained from HSCAT with buoy winds from NDBC during long time series to validate the results, and uses the global MPAS-GSI with unstructured spherical grids for assimilating and forecasting. The observation errors employed in this study are 2.5m s -1 since the greatest RMSEs of the u- and v-component are less than 1.7m s -1 . The simulations with or without assimilation are analysed and validated with ERA5 reanalysis in several selected locations, proving that assimilating HSCAT wind products can indeed enhance the forecast skill of surface wind.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3007/1/012001
Primary Topic
Ocean Waves and Remote Sensing
Type
article
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article

Application of sea surface wind products in global atmospheric assimilation from HY-2 scatterometer: Preliminary results

Sai Hao, Wei Peng, Juhong Zou, Xiaoyan Liu
Journal of Physics Conference Series
Ocean Waves and Remote Sensing
article

Application of sea surface wind products in global atmospheric assimilation from HY-2 scatterometer: Preliminary results

Sai Hao, Wei Peng, Juhong Zou, Xiaoyan Liu
article en

Abstract

Abstract The sea surface wind products retrieved from HY-2 scatterometer have become better over time, and it has contributed significantly to the development of forecasting abilities. This article compares the sea surface wind products obtained from HSCAT with buoy winds from NDBC during long time series to validate the results, and uses the global MPAS-GSI with unstructured spherical grids for assimilating and forecasting. The observation errors employed in this study are 2.5m s -1 since the greatest RMSEs of the u- and v-component are less than 1.7m s -1 . The simulations with or without assimilation are analysed and validated with ERA5 reanalysis in several selected locations, proving that assimilating HSCAT wind products can indeed enhance the forecast skill of surface wind.

Journal of Physics Conference SeriesVol. 3007(1)
Ministry of Natural Resources (CN), National Marine Environmental Forecasting Center (CN), State Key Laboratory of Remote Sensing Science (CN)
Openalex Percentile: Top 86%
Ocean Waves and Remote Sensing
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