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- Title
中国区域性大气加权平均温度线性模型精度评估.
- Authors
王明华; 曹云昌; 梁宏; 涂满红; 刘志刚
- Abstract
We used the ERA5 data from European Centre for Medium-Range Weather Forecasts to evaluate the accuracy of regional weighted mean temperature (Tm) linear models over China.These models were derived from historical radiosonde data of 88 Chinese stations.For these stations, the root mean square errors (RMSEs) between single-station model derived Tm and ERA Tm are 1. 8-5. 5 K, and -1. 22-4. 54 K of which are system biases.For 82 out of the total 88 stations, the system biases are positive, indicating that the model derived values are generally larger than ERA Tm.The RMSEs can be reduced to 1. 5-3. 5 K after removal of the system biases.On average, the RMSE of Tm from single-station model is smaller than that from the unified model by 0. 6 K, suggesting that single-station models are generally more accurate than the unified model.In western China, northwestern China and Inner Mongolia, the accuracy can be improved by 1-3. 9 K using single station models compared with the unified model. Time series of the biases between model derived Tm and ERA Tm show obvious seasonal cycles for over half of the stations.
- Publication
Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban), 2021, Vol 13, Issue 2, p161
- ISSN
1674-7070
- Publication type
Article
- DOI
10.13878/j.cnki.jnuist.2021.02.005