基于准对称混合滑动训练法对CLDAS气温的订正检验

李奇临, 刘超, 朱君, 刘昉, 旷兰

Correction and evaluation of CLDAS air temperature products based on quasi-symmetric hybrid sliding training method

LI Qilin, LIU Chao, ZHU Jun, LIU Fang, KUANG Lan

表1 2020和2021年日最高、日最低气温产品订正前后各误差指标与准确率对比

Tab.1 Comparison of error indexes and accuracy rates of daily maximum and minimum temperatures in 2020 and 2021 before and after revision

对比指标 年份 产品 ME/℃ MAE/℃ RMSE/℃ COR ≤1 ℃准确率/% ≤2 ℃准确率/% 日最高气温 2020 CLDAS 0.66 1.33 1.82 0.98 62.60 82.96 CLDAS_IM -0.07 0.83 1.17 0.99 86.70 96.44 2021 CLDAS 0.63 1.14 1.52 0.99 64.32 86.25 CLDAS_IM -0.03 0.64 0.90 0.99 90.22 97.77 日最低气温 2020 CLDAS -0.14 0.97 1.42 0.98 86.33 94.22 CLDAS_IM 0.06 0.74 1.06 0.99 87.16 96.88 2021 CLDAS -0.22 0.75 1.08 0.99 91.51 97.35 CLDAS_IM -0.03 0.55 0.82 0.99 93.24 98.18