Characterizing Spatiotemporal Patterns of Snowfall in the Kaidu River Basin from 2000–2020 Using MODIS Observations

Characterizing spatiotemporal patterns of snowfall is essential for understanding cryosphere responses to warming climate stress. The changes in and topographic controls mountain regions still need be clarified. This study proposes a general parsimonious methodology obtain the frequency mountainous areas. employed easily transferable any other region. Utilizing daily MODIS observations from June 2000 May 2020 event detection algorithm, we monitored long time series Kaidu river basin. results are as follows: (1) method detecting has high accuracy. annual detected agreed with surface observations, an R2 0.65 RMSE 3.39. (2) events increased monotonically elevation. influence slope angle on gradually decreased increasing (3) basin was dominated by trend. trends showed pronounced dependence. reveals distribution characteristics changing regions. provide reference research