Development of Global Snow Cover—Trends from 23 Years of Global SnowPack

Globally, the seasonal snow cover is areal largest, most short-lived and variable part of cryosphere. Remote sensing proved to be a reliable tool investigate their short-term variations worldwide. The medium-resolution sensor MODIS has been delivering daily products since year 2000. Remaining data gaps due cloud coverage or polar night are interpolated using DLR’s Global SnowPack (GSP) processor which produces global cloud-free cover. With conclusion hydrological 2022 in northern hemisphere, dynamics last 23 years can now examined. Trends development over different time periods (months, seasons, seasons) were examined Mann–Kendall test Theil–Sen slope. This took place as both pixel based being averaged selected catchment areas. 23-year series sufficient identify significant developments for large an average decrease duration −0.44 days/year was recorded full year, even if slight increases individual months such November also found. Likewise, proportion trends could determined globally at area level periods. Most drastic occurred March, with by −0.16 days/year. In river Neman, drains into Baltic Sea, there −0.82