| 顾及多因子影响的中国区域Tm模型精化研究 |
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| 引用本文： | 李浩杰,刘立龙,黄良珂,莫智翔,蔡猛.顾及多因子影响的中国区域Tm模型精化研究[J].大地测量与地球动力学,2022,42(4):393-397. |
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| 作者姓名： | 李浩杰 刘立龙 黄良珂 莫智翔 蔡猛 |
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| 作者单位： | 桂林理工大学测绘地理信息学院,桂林市雁山街 319 号,541006;广西空间信息与测绘重点实验室,桂林市雁山街 319 号,541006 |
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| 基金项目： | 广西自然科学基金;广西八桂学者岗位专项;国家自然科学基金 |
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| 摘 要： | 利用中国区域2015~2017年探空数据，建立一种顾及地表温度、地表水汽压、高程和纬度的中国区域大气加权平均温度Tm模型（BET模型）。以2018年探空站Tm数据为参考值，分析BET模型精度，并与Bevis模型和GPT3模型进行对比。结果表明，BET模型年均RMSE与bias分别为3.15 K和0.04 K，相比于Bevis模型、1°×1°分辨率的GPT3模型和5°×5°分辨率的GPT3模型，年均RMSE分别降低29.2%、32.8%和39.1%，年均bias分别降低96.4%、96.7%和97.4%，且该模型在中国区域不同高程和纬度上的精度与稳定性优于Bevis模型和GPT3模型。
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| 关 键 词： | 大气加权平均温度 水汽压 多因子Tm模型 GPT3模型 中国地区 |
Refinement of Tm Model Considering the Influence of Multi-Factors in China Region |
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| LI Haojie,LIU Lilong,HUANG Liangke,MO Zhixiang,CAI Meng.Refinement of Tm Model Considering the Influence of Multi-Factors in China Region[J].Journal of Geodesy and Geodynamics,2022,42(4):393-397. |
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| Authors: | LI Haojie LIU Lilong HUANG Liangke MO Zhixiang CAI Meng |
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| Abstract: | This paper uses sounding data from 2015 to 2017 to establish a China regional Tm model(BET model) that considers surface temperature, surface water vapor pressure, elevation and latitude. Using theTm data of sounding station in 2018 as a reference value, we analyze the accuracy of BET model, and compare it with the Bevis and GPT3 models. The results show that the average annual RMSE and bias of BET model are 3.15 K and 0.04 K, respectively. Compared with the Bevis model, the GPT3 models with resolutions of 1°×1° and 5°×5°, the average annual RMSE decreases by 29.2%, 32.8%, and 39.1%; the average annual bias decreases by 96.4%, 96.7%, and 97.4%, respectively. The accuracy and stability of the model at different elevations and latitudes in China are better than the Bevis and GPT3 models. |
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| Keywords: | atmospheric weighted mean temperature water vapor pressure multi-factors Tm model GPT3 model China region |
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