Scale-dependent gains in vegetation modeling from climate heterogeneity metrics on the Qinghai–Tibet Plateau

Climate heterogeneity significantly enhances macroclimate data-driven vegetation modeling, reducing uncertainties caused by data scale bias. It should be noted that our data are based on the Köppen-Geiger climate classification and are spatially restricted to the Qinghai-Tibet Plateau.

气候异质性可显著提升宏观气候数据驱动的植被建模效能，并降低由数据尺度偏差引发的不确定性。需说明的是，本数据集基于柯本-盖格（Köppen-Geiger）气候分类体系构建，且空间范围限定于青藏高原。