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<p>The Tibetan Plateau (TP) has experienced rapid warming and a series of extreme climate events in recent decades, severely impacting ecosystems of local and downstream areas. The stratification of temperature change with elevation is particularly pronounced on TP. However, understanding of the spatial heterogeneity of elevation-dependent extreme temperature change remains limited due to unevenly distributed meteorological stations. This paper first obtains the spatial elevation-dependent pattern of extreme temperature change by applying a moving window model to daily gridded air temperature data from 1979 to 2018, and quantifies the specific contribution of underlying physical mechanisms based on GeoDetector model. The results show that there are four types of elevation-dependent patterns, including warming trends that strengthen/weaken with elevation (EDW+/-) and cooling trends that strengthen/weaken with elevation (EDC+/-). EDW + is concentrated in southeastern TP and EDW- is in northern and central TP. EDC + mainly occurs in northeastern TP and EDC- is in northern Inner TP. The total cloud cover is the main cause of elevation amplification effect of extreme temperature change (i.e., EDW + and EDC+) through regulating the absorption of shortwave radiation at different elevations. Snow cover is the main cause of elevation diminution effect (i.e., EDW- and EDC-) through influencing surface albedo. This paper reveals the distribution and causes of elevation-dependent patterns, providing new insights into alpine environmental change.</p>

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Spatial patterns and drivers of elevation dependency of extreme temperature changes on the Tibetan Plateau

  • 期刊论文

  • 发表日期：

    2025年6月6日

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  • Ke Yang,
  • Weizhe Chen,
  • Guoyu Ren,
  • Rui Zhang

摘要

The Tibetan Plateau (TP) has experienced rapid warming and a series of extreme climate events in recent decades, severely impacting ecosystems of local and downstream areas. The stratification of temperature change with elevation is particularly pronounced on TP. However, understanding of the spatial heterogeneity of elevation-dependent extreme temperature change remains limited due to unevenly distributed meteorological stations. This paper first obtains the spatial elevation-dependent pattern of extreme temperature change by applying a moving window model to daily gridded air temperature data from 1979 to 2018, and quantifies the specific contribution of underlying physical mechanisms based on GeoDetector model. The results show that there are four types of elevation-dependent patterns, including warming trends that strengthen/weaken with elevation (EDW+/-) and cooling trends that strengthen/weaken with elevation (EDC+/-). EDW + is concentrated in southeastern TP and EDW- is in northern and central TP. EDC + mainly occurs in northeastern TP and EDC- is in northern Inner TP. The total cloud cover is the main cause of elevation amplification effect of extreme temperature change (i.e., EDW + and EDC+) through regulating the absorption of shortwave radiation at different elevations. Snow cover is the main cause of elevation diminution effect (i.e., EDW- and EDC-) through influencing surface albedo. This paper reveals the distribution and causes of elevation-dependent patterns, providing new insights into alpine environmental change.