Shuixin ZHONG, Zitong CHEN, Daosheng XU, Yanxia ZHANG. 2018: Evaluating and Improving Wind Forecasts over South China: The Role of Orographic Parameterization in the GRAPES Model. ADVANCES IN ATMOSPHERIC SCIENCES, 35(6): 713-722. DOI: 10.1007/s00376-017-7157-4
Citation: Shuixin ZHONG, Zitong CHEN, Daosheng XU, Yanxia ZHANG. 2018: Evaluating and Improving Wind Forecasts over South China: The Role of Orographic Parameterization in the GRAPES Model. ADVANCES IN ATMOSPHERIC SCIENCES, 35(6): 713-722. DOI: 10.1007/s00376-017-7157-4

Evaluating and Improving Wind Forecasts over South China: The Role of Orographic Parameterization in the GRAPES Model

  • Unresolved small-scale orographic (SSO) drags are parameterized in a regional model based on the Global/Regional Assimilation and Prediction System for the Tropical Mesoscale Model (GRAPES_TMM). The SSO drags are represented by adding a sink term in the momentum equations. The maximum height of the mountain within the grid box is adopted in the SSO parameterization (SSOP) scheme as compensation for the drag. The effects of the unresolved topography are parameterized as the feedbacks to the momentum tendencies on the first model level in planetary boundary layer (PBL) parameterization. The SSOP scheme has been implemented and coupled with the PBL parameterization scheme within the model physics package. A monthly simulation is designed to examine the performance of the SSOP scheme over the complex terrain areas located in the southwest of Guangdong. The verification results show that the surface wind speed bias has been much alleviated by adopting the SSOP scheme, in addition to reduction of the wind bias in the lower troposphere. The target verification over Xinyi shows that the simulations with the SSOP scheme provide improved wind estimation over the complex regions in the southwest of Guangdong.
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