区域大气加权平均温度模型的构建及其精度分析

Construction and Accuracy Analysis of a Regional Atmospheric Weighted Average Temperature Model

大气加权平均温度(Tm)可通过模型计算得到,针对一些常用的Tm模型在中国区域研究中存在精度较低的问题,提出一种顾及地表温度(Ts)和Tm年周期、半年周期、日周期的Tm模型——BGTm模型。利用2017—2019年欧洲中期天气预报中心(ECMWF)提供的ERA5再分析数据建立适用于中国区域的区域Tm模型,使用2020年ERA5数据和探空数据对模型精度进行评估。实验结果表明,与GPT3、UNB3和Bevis模型相比,BGTm模型在研究区域内具有更好的适用性。BGTm模型可为中国区域提供精确的Tm值,为该区域水汽反演提供水汽信息的参考。

The atmospheric weighted average temperature(Tm)can be calculated through a model.In response to the low accuracy of some commonly used Tm models in regional research in China,a Tm model,BGTm,is proposed that takes into account surface temperature(Ts)and Tm's annual,semi annual and daily cycles.It uses ERA5 reanalysis data provided by the European Centre for Medium-range Weather Forecasts(ECMWF)from 2017 to 2019,and a regional Tm model suitable for the Chinese region is established.The ERA5 data and sounding data from 2020 is used to evaluate the model accuracy.The experimental results indicate that the BGTm model has better applicability in the study area compared to the GPT3,UNB3 and Bevis models.The BGTm model can provide accurate Tm values for the Chinese region and provide a reference for water vapor inversion in the region.