Evaluation of the Snow Climate Change Initiative (Snow CCI) snow-covered area product within a mountain snow water equivalent reanalysis

Sun, Haorui; Fang, Yiwen; Margulis, Steven A.; Mortimer, Colleen; Mudryk, Lawrence; Derksen, Chris

doi:https://doi.org/10.5194/tc-19-2017-2025

Articles | Volume 19, issue 6

https://doi.org/10.5194/tc-19-2017-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-19-2017-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 19, issue 6

Research article

|

03 Jun 2025

Research article |

| 03 Jun 2025

Evaluation of the Snow Climate Change Initiative (Snow CCI) snow-covered area product within a mountain snow water equivalent reanalysis

Haorui Sun, Yiwen Fang, Steven A. Margulis, Colleen Mortimer, Lawrence Mudryk, and Chris Derksen

Supplement

https://doi.org/10.5194/tc-19-2017-2025-supplement

Data sets

Snow CCI and Landsat reanalysis outputs H. Sun https://doi.org/10.5281/zenodo.13930081

ESA Snow Climate Change Initiative (Snow_cci): Daily global Snow Cover Fraction – viewable snow (SCFV) from MODIS (2000–2020), version 2.0 T. Nagler et al. https://doi.org/10.5285/ebe625b6f77945a68bda0ab7c78dd76b

Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2022) V. Vionnet et al. https://doi.org/10.5281/zenodo.7734616

Short summary

The European Space Agency's Snow Climate Change Initiative (Snow CCI) developed a high-quality snow cover extent and snow water equivalent (SWE) climate data record. However, gaps exist in complex terrain due to challenges in using passive microwave sensing and in situ measurements. This study presents a methodology to fill the mountain SWE gap using Snow CCI snow cover fraction within a Bayesian SWE reanalysis framework, with potential applications in untested regions and with other sensors.