Abstract

Snow cover phenology has exhibited dramatic changes in the past decades. However, the distribution and attribution of the hemispheric scale snow cover phenology anomalies remain unclear. Using satellite-retrieved snow cover products, ground observations, and reanalysis climate variables, this study explored the distribution and attribution of snow onset date, snow end date, and snow duration days over the Northern Hemisphere from 2001 to 2020. The latitudinal and altitudinal distributions of the 20-year averaged snow onset date, snow end date, and snow duration days are well represented by satellite-retrieved snow cover phenology matrixes. The validation results by using 850 ground snow stations demonstrated that satellite-retrieved snow cover phenology matrixes capture the spatial variability of the snow onset date, snow end date, and snow duration days at the 95% significance level during the overlapping period of 2001–2017. Moreover, a delayed snow onset date and an earlier snow end date (1.12 days decade−1, p < 0.05) are detected over the Northern Hemisphere during 2001–2020 based on the satellite-retrieved snow cover phenology matrixes. In addition, the attribution analysis indicated that snow end date dominates snow cover phenology changes and that an increased melting season temperature is the key driving factor of snow end date anomalies over the NH during 2001–2020. These results are helpful in understanding recent snow cover change and can contribute to climate projection studies.

Highlights

  • Snow cover is an integral component of the cryosphere and represents one of the three Essential Climate Variables related to snow for the Global Observing System for Climate, which plays a crucial role in the Earth’s climate system through the surface energy budget [1,2,3], atmospheric circulation [4], and hydrological cycle [5,6,7], and influences freshwater resources across a large proportion of the Northern Hemisphere (NH) [6]

  • With the help of satellite-retrieved snow cover observations, ground-based snow depth records, and reanalysis climate variables, this study explored the Snow cover phenology (SCP) distribution and its causes over the NH in the past two decades from 2001 to 2020, which are important data for current cryosphere change studies and future climate projections

  • The enhanced seasonal snow cover extent (SCE) differences between snow accumulation season and melting season led to corresponding SCP anomalies

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Summary

Introduction

Snow cover is an integral component of the cryosphere and represents one of the three Essential Climate Variables related to snow for the Global Observing System for Climate, which plays a crucial role in the Earth’s climate system through the surface energy budget [1,2,3], atmospheric circulation [4], and hydrological cycle [5,6,7], and influences freshwater resources across a large proportion of the Northern Hemisphere (NH) [6]. SCP has considerable impact on climate variabilities, such as alpine vegetation growth dynamics on the Tibetan. Changes in SCP are directly related to observed snow cover extent (SCE) anomalies over the NH. Based on multi-model ensemble results from the latest World Climate Research Programme Coupled Model

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