EAPSI:Strengthening the Weather Research and Forecasting Model for Antarctica by Assimilating GPS Radio Occultation Profiles from the 2010 Concordiasi Campaign

该奖项支持旨在通过评估额外数据观测对天气研究和预报（WRF）模型的影响来加强南极洲天气预报的研究。这项研究将把2010年Concordisi实地活动的全球定位系统无线电掩星数据纳入WRF模型，该活动通过气球搭载的收集系统收集了南极平流层的数据。将新数据同化到WRF模式中可能会改善对南极气旋和风速的预测和理解，沿着未来的空气-海冰相互作用。这项研究将与台湾国立中央大学大气科学系模式评估和数据同化专家杨淑芝博士合作进行。在采样稀少的南极地区，这项研究将评估气球搭载的GPS RO提供的额外原位观测对南极天气预报的影响。这项研究将采用2010年南极洲Concordisi活动的GPS无线电掩星活动剖面，并使用天气研究和预报数据同化方案之一将其同化到天气研究和预报模型中。全球定位系统RO剖面提供了在世界上一个抽样稀少的地区进行的额外现场测量。该项目将确定这些附加剖面对WRF模式预报的影响，特别是与沿着海冰边缘的气旋生成和平流海冰的风有关的影响。在台湾国立中央大学，杨淑芝教授将协助数据同化过程和模式输出的分析。她的专业知识对于数据同化过程以及理解WRF模式的结果和行为至关重要。该奖项是东亚和太平洋夏季研究所计划下的一个奖项，支持美国研究生的夏季研究，由NSF和台湾科技部共同资助。

This award supports research that aims to enhance weather forecasting in Antarctica by assessing the impact of additional data observations on the Weather Research and Forecasting (WRF) model. The study will integrate GPS radio occultation data from the 2010 Concordiasi field campaign, which collected data in the stratosphere over Antarctica through a balloon-borne collection system, into the WRF model. Assimilating the new data into the WRF model may improve forecasting and understanding of Antarctic cyclones and wind speeds, along with air-sea ice interaction in the future. The research will be conducted in collaboration with Dr. Shu-Chih Yang, an expert in model evaluation and data assimilation in the Department of Atmospheric Sciences at National Central University in Taiwan.In the sparsely sampled Antarctic region, this study will assess the impact of additional in situ observations, as provided by balloon borne GPS RO, on Antarctic weather forecasting. The study will take GPS radio occultation refractivity profiles from the 2010 Concordiasi campaign over Antarctica and assimilate them into the Weather Research and Forecasting (WRF) model using one of the WRF Data Assimilation (DA) schemes. The GPS RO profiles provide additional in-situ measurements in a sparsely sampled region of the world. The project will determine the impact that these additional profiles have on WRF model forecasts, particularly in relation to cyclogenesis along the sea ice edge and winds that advect sea ice. At National Central University in Taiwan, Professor Shu-Chih Yang will assist in the data assimilation process and analysis of the model output. Her expertise will be critical for the data assimilation process and for understanding the results and behavior of the WRF model.This award under the East Asia and Pacific Summer Institutes program supports summer research by a U.S. graduate student and is jointly funded by NSF and the Ministry of Science and Technology of Taiwan.