Impact of Skin Temperature Control Variable on the Assimilation of Microwave Temperature-sounding Channels in Regional Numerical Weather Prediction  

作　　者：Yaodeng CHEN Qihang YANG Luyao QIN Yuanbing WANG Deming MENG Xusheng YAN 

机构地区：[1]Key Laboratory of Meteorological Disaster,Ministry of Education(KLME)/Joint International Research Laboratory of Climate and Environment Change(ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD),Nanjing University of Information Science&Technology,Nanjing 210044,China [2]College of Meteorology and Oceanography,National University of Defense Technology,Changsha 410073,China [3]Key Laboratory of Mesoscale Severe Weather,Ministry of Education,School of Atmospheric Sciences,Nanjing University,Nanjing 210023,China

出　　处：《Advances in Atmospheric Sciences》2025年第3期564-578,共15页大气科学进展(英文版)

基　　金：sponsored by the National Natural Science Foundation of China(Grant No.42075148);the High-Performance Computing Center of Nanjing University of Information Science & Technology for supporting this work。

摘　　要：Accurate skin temperature is one of the critical factors in successfully assimilating satellite radiance data over land.However,model-simulated skin temperature may not be accurate enough.To address this issue,an extended skin temperature control variable(TSCV) approach is proposed in a variational assimilation framework,which also considers the background error correlation between skin temperature and atmospheric variables.A series of single observation tests and a 10-day cycling assimilation experiment were conducted to evaluate the impact of the TSCV approach on the assimilation of AMSU-A and ATMS(Advanced Technology Microwave Sounder) microwave temperature-sounding channels over land.The results of the single observation tests show that by applying the TSCV approach,not only the direct analysis of skin temperature is realized,but also the interaction between skin temperature and atmospheric variables can be achieved during the assimilation process.The results of the cycling experiment demonstrate that the TSCV approach improves the skin temperature analysis,which in turn reduces the RMSE of the surface variables and low-level air temperature forecasts.The TSCV approach also reduces the difference between the observed and simulated brightness temperatures of both microwave and infrared window channels over land,suggesting that the approach can facilitate the radiance simulation of these channels,thus contributing to the assimilation of window channels.

关 键 词：radiance assimilation skin temperature control variable microwave temperature-sounding numerical weather prediction 

分 类 号：P456.7[天文地球—大气科学及气象学]