Articles | Volume 17, issue 12
https://doi.org/10.5194/tc-17-5007-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-5007-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Nov 2023
Research article |
| 29 Nov 2023
| 29 Nov 2023
Evaluation of snow cover properties in ERA5 and ERA5-Land with several satellite-based datasets in the Northern Hemisphere in spring 1982–2018
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Kari Luojus
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
Aku Riihelä
Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland
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- Can streamflow observations constrain snow mass reconstructions? Lessons from two synthetic numerical experiments P. Wiersma et al. https://doi.org/10.5194/hess-30-3331-2026
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- Spatiotemporal analysis of ERA-5 and NEO satellite products for estimating snow water equivalent in Iran Y. Kheyruri et al. https://doi.org/10.1007/s11600-025-01648-9
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- Climate drives observational changes in hydrological extremes across most global regions N. Wang et al. https://doi.org/10.1016/j.xinn.2025.101171
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- REMO2020: a modernised modular regional climate model J. Pietikäinen et al. https://doi.org/10.5194/gmd-18-7907-2025
- The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas J. Bernard et al. https://doi.org/10.5194/essd-17-2985-2025
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- Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data G. Pang et al. https://doi.org/10.1080/17538947.2025.2547288
- Introduction to a 45-year (1979–2023) global daily snow cover fraction product from multiple AVHRR satellites with accuracy assessment X. Xiao et al. https://doi.org/10.1016/j.rse.2026.115235
- Retrieving snow depth distribution by downscaling ERA5 Reanalysis with ICESat-2 laser altimetry Z. Liu et al. https://doi.org/10.1016/j.coldregions.2025.104580
- Strengthening influence of atmospheric rivers on global snow depth dynamics H. Li et al. https://doi.org/10.1038/s41467-026-71969-w
- How to reduce sampling errors in spaceborne cloud radar-based snowfall estimates F. Scarsi et al. https://doi.org/10.5194/tc-19-4875-2025
- A New Method to Simulate the Microwave Effective Snow Grain Size in the Northern Hemisphere Without Using Snow Depth Priors J. Yang et al. https://doi.org/10.1109/JSTARS.2024.3441817
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- Streamflow abrupt change and the driving factors in glacierized basins of Tarim Basin, Northwest China C. Yang et al. https://doi.org/10.1016/j.accre.2024.01.009
- Tree fall along railway lines: modelling the impact of wind and other meteorological factors R. Lorenz et al. https://doi.org/10.5194/nhess-25-2179-2025
- Evaluation of hydroclimatic biases in the Community Earth System Model (CESM1) within the Mississippi River basin M. O'Donnell et al. https://doi.org/10.5194/hess-29-4637-2025
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- Evaluating a hierarchy of bias correction methods for ERA5-Land SWE across Canada N. Kanda & C. Fletcher https://doi.org/10.1088/2515-7620/aded5a
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Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We evaluated snow cover properties in state-of-the-art reanalyses (ERA5 and ERA5-Land) with satellite-based datasets. Both ERA5 and ERA5-Land overestimate snow mass, whereas albedo estimates are more consistent between the datasets. Snow cover extent (SCE) is accurately described in ERA5-Land, while ERA5 shows larger SCE than the satellite-based datasets. The trends in snow mass, SCE, and albedo are mostly negative in 1982–2018, and the negative trends become more apparent when spring advances.
We evaluated snow cover properties in state-of-the-art reanalyses (ERA5 and ERA5-Land) with...
