基于KNN机器学习方法对青藏高原唐古拉地区表层土壤水热状况的模拟
刘宏超1(
), 马俊杰2,3, 李韧2()
), 马俊杰2,3, 李韧2()
Simulation of the water-thermal features within the surface soil in Tanggula region， Qinghai-Tibet Plateau， by using KNN model
Hongchao LIU1(), Junjie MA2,3, Ren LI2()
), Junjie MA2,3, Ren LI2()
图7. 不同深度土壤温度模拟值与观测值的统计指标泰勒图
Fig.7. Taylor plots for statistical indicators of simulated and observed soil temperature at different depths
