CAJ | 학술논문

GPT模型常被用于计算气温、气压等对流层延迟气象参数，针对其不足之处，L a gl er提出了改进的全球经验模型GPT2，该模型不仅提高了GPT气温和气压模型的精度，而且可提供比湿、水汽压、映射函数等对流层参数。但是目前没有相关文献对GPT2的精度进行详尽的分析，本文利用ECWMF及NOAA提供的高精度气象数据，对GPT2气温、气压和水汽压模型进行精度检验及分析。结果表明，气温的Bi a s均值为－05．9°C ，RMS均值为38．2°C左右；气压和水汽压的Bi a s均值绝对值在1 mb以内，气压的RMS均值为7mb左右，水汽压则不超过3mb，不同纬度精度存在差异，三者均具有明显的季节性。总体而言，GPT2模型在全球范围内具有很高的精度和稳定性。
GPT모형상피용우계산기온、기압등대류층연지기상삼수，침대기불족지처，L a gl er제출료개진적전구경험모형GPT2，해모형불부제고료GPT기온화기압모형적정도，이차가제공비습、수기압、영사함수등대류층삼수。단시목전몰유상관문헌대GPT2적정도진행상진적분석，본문이용ECWMF급NOAA제공적고정도기상수거，대GPT2기온、기압화수기압모형진행정도검험급분석。결과표명，기온적Bi a s균치위－05．9°C ，RMS균치위38．2°C좌우；기압화수기압적Bi a s균치절대치재1 mb이내，기압적RMS균치위7mb좌우，수기압칙불초과3mb，불동위도정도존재차이，삼자균구유명현적계절성。총체이언，GPT2모형재전구범위내구유흔고적정도화은정성。
GPT(global pressure and temperature) is a global empirical model usually used to provide temperature and pressure for the determination of tropospheric del ay ,there are some weakness to GPT , these have been improved with a new empirical model named GPT2 ,which not only improves the accuracy of temperature and pressure ,but also provides specific humidity ,water vapor pressure ,mapping function coefficients and other tropospheric parameters ,and no accuracy analysis of GPT2 has been made until now .In this paper high‐precision meteorological data from ECWMF and NOAA were used to test and analyze the accuracy of temperature , pressure and water vapor pressure expressed by GPT2 , testing results show that the mean Bi as of temperature is -0 5.9°C , average RMS is 3 .82°C;absolute value of averageBiasofpressureandwatervaporpressurearelessthan1mb,GPT2pressurehasaverageRMSof 7 mb ,and water vapor pressure no more than 3 mb ,accuracy is different in different l atitudes ,all of them have obvious seasonality .In conclusion ,GPT2 model has high accuracy and stability on global scale .