Articles | Volume 11, issue 2
https://doi.org/10.5194/tc-11-923-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/tc-11-923-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Apr 2017
Research article |
| 13 Apr 2017
Eurasian snow depth in long-term climate reanalyses
Martin Wegmann
CORRESPONDING AUTHOR
Institut des Géosciences de l'Environnement, University of Grenoble, Grenoble, France
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
Yvan Orsolini
NILU – Norwegian Institute for Air Research, Kjeller, Norway
Emanuel Dutra
ECMWF – European Centre for Medium-Range Weather Forecasts, Reading, UK
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Olga Bulygina
All-Russian Research Institute of Hydrometeorological Information – World Data Centre, Obninsk, Russian Federation
Alexander Sterin
All-Russian Research Institute of Hydrometeorological Information – World Data Centre, Obninsk, Russian Federation
Stefan Brönnimann
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Institute of Geography, University of Bern, Bern, Switzerland
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- Multi-Source Dataset Assessment and Variation Characteristics of Snow Depth in Eurasia from 1980 to 2018 K. Cheng et al. 10.3390/atmos15050530
- Impacts of 1.5 °C and 2 °C global warming on winter snow depth in Central Asia Y. Li et al. 10.1016/j.scitotenv.2018.10.126
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- Decadal variations of blocking and storm tracks in centennial reanalyses M. Rohrer et al. 10.1080/16000870.2019.1586236
- A quality control approach to better characterize the spatial distribution of snow depth over New Brunswick, Canada A. Baronetti et al. 10.1002/joc.6166
- Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014 E. Alonso-González et al. 10.5194/essd-10-303-2018
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- Long‐term trends (1958–2017) in snow cover duration and depth in the Pyrenees J. López‐Moreno et al. 10.1002/joc.6571
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- Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau C. Zhang et al. 10.3390/w13030307
- Spatiotemporal Variation of Snow Depth in the Northern Hemisphere from 1992 to 2016 X. Xiao et al. 10.3390/rs12172728
- Snow depth variability across the Qinghai Plateau and its influencing factors during 1980–2018 H. Ma et al. 10.1002/joc.7883
- Causal Pathways for Temperature Predictability from Snow Depth E. Kolstad 10.1175/JCLI-D-17-0280.1
- Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area E. Alonso-González et al. 10.5194/hess-25-4455-2021
- A critical assessment of the long-term changes in the wintertime surface Arctic Oscillation and Northern Hemisphere storminess in the ERA20C reanalysis H. Bloomfield et al. 10.1088/1748-9326/aad5c5
- The Strengthening Association Between Siberian Snow and Indian Summer Monsoon Rainfall R. Singh et al. 10.1029/2020JD033779
- Multidecadal Fluctuation of the Wintertime Arctic Oscillation Pattern and Its Implication H. Gong et al. 10.1175/JCLI-D-17-0530.1
- Trend and variability in the long‐term relationship between Eurasian snow cover and Indian summer monsoon rainfall P. Pandey et al. 10.1002/joc.7675
- Quantifying the role of land–atmosphere feedbacks in mediating near‐surface temperature persistence E. Kolstad et al. 10.1002/qj.3033
28 citations as recorded by crossref.
- Changes in Climate and Snow Cover in View of Functioning of Ski Resorts in Russia in the Early 21th Century V. Vinogradova & T. Titkova 10.31857/S2076673423030134
- Impact of late spring Siberian snow on summer rainfall in South-Central China H. Shen et al. 10.1007/s00382-020-05206-5
- Multi-Source Dataset Assessment and Variation Characteristics of Snow Depth in Eurasia from 1980 to 2018 K. Cheng et al. 10.3390/atmos15050530
- Impacts of 1.5 °C and 2 °C global warming on winter snow depth in Central Asia Y. Li et al. 10.1016/j.scitotenv.2018.10.126
- Impact of Eurasian autumn snow on the winter North Atlantic Oscillation in seasonal forecasts of the 20th century M. Wegmann et al. 10.5194/wcd-2-1245-2021
- Statistical Learning Methods as a Basis for Skillful Seasonal Temperature Forecasts in Europe M. Kämäräinen et al. 10.1175/JCLI-D-18-0765.1
- Role of autumn Arctic Sea ice in the subsequent summer precipitation variability over East Asia Y. Liu et al. 10.1002/joc.6232
- Snow depth and snow cover over the Tibetan Plateau observed from space in against ERA5: matters of scale Y. Lei et al. 10.1007/s00382-022-06376-0
- Decadal variations of blocking and storm tracks in centennial reanalyses M. Rohrer et al. 10.1080/16000870.2019.1586236
- A quality control approach to better characterize the spatial distribution of snow depth over New Brunswick, Canada A. Baronetti et al. 10.1002/joc.6166
- Daily gridded datasets of snow depth and snow water equivalent for the Iberian Peninsula from 1980 to 2014 E. Alonso-González et al. 10.5194/essd-10-303-2018
- Observations for Reanalyses S. Brönnimann et al. 10.1175/BAMS-D-17-0229.1
- Long‐term trends (1958–2017) in snow cover duration and depth in the Pyrenees J. López‐Moreno et al. 10.1002/joc.6571
- Evaluation of snow depth and snow cover over the Tibetan Plateau in global reanalyses using in situ and satellite remote sensing observations Y. Orsolini et al. 10.5194/tc-13-2221-2019
- Investigating the ability of multiple reanalysis datasets to simulate snow depth variability over mainland China from 1981 to 2018 H. Zhang et al. 10.1175/JCLI-D-20-0804.1
- Eurasian autumn snow link to winter North Atlantic Oscillation is strongest for Arctic warming periods M. Wegmann et al. 10.5194/esd-11-509-2020
- Evaluation of snow depth and snow cover represented by multiple datasets over the Tianshan Mountains: Remote sensing, reanalysis, and simulation Q. Li et al. 10.1002/joc.7459
- Which global reanalysis dataset has better representativeness in snow cover on the Tibetan Plateau? S. Yan et al. 10.5194/tc-18-4089-2024
- Spring snow albedo feedback over northern Eurasia: Comparing in situ measurements with reanalysis products M. Wegmann et al. 10.5194/tc-12-1887-2018
- Spatio-Temporal Variation Characteristics of Snow Depth and Snow Cover Days over the Tibetan Plateau C. Zhang et al. 10.3390/w13030307
- Spatiotemporal Variation of Snow Depth in the Northern Hemisphere from 1992 to 2016 X. Xiao et al. 10.3390/rs12172728
- Snow depth variability across the Qinghai Plateau and its influencing factors during 1980–2018 H. Ma et al. 10.1002/joc.7883
- Causal Pathways for Temperature Predictability from Snow Depth E. Kolstad 10.1175/JCLI-D-17-0280.1
- Snowpack dynamics in the Lebanese mountains from quasi-dynamically downscaled ERA5 reanalysis updated by assimilating remotely sensed fractional snow-covered area E. Alonso-González et al. 10.5194/hess-25-4455-2021
- A critical assessment of the long-term changes in the wintertime surface Arctic Oscillation and Northern Hemisphere storminess in the ERA20C reanalysis H. Bloomfield et al. 10.1088/1748-9326/aad5c5
- The Strengthening Association Between Siberian Snow and Indian Summer Monsoon Rainfall R. Singh et al. 10.1029/2020JD033779
- Multidecadal Fluctuation of the Wintertime Arctic Oscillation Pattern and Its Implication H. Gong et al. 10.1175/JCLI-D-17-0530.1
- Trend and variability in the long‐term relationship between Eurasian snow cover and Indian summer monsoon rainfall P. Pandey et al. 10.1002/joc.7675
1 citations as recorded by crossref.
Discussed (final revised paper)
Latest update: 21 Jan 2025
Short summary
We investigate long-term climate reanalyses datasets to infer their quality in reproducing snow depth values compared to in situ measured data from meteorological stations that go back to 1900. We found that the long-term reanalyses do a good job in reproducing snow depths but have some questionable snow states early in the 20th century. Thus, with care, climate reanalyses can be a valuable tool to investigate spatial snow evolution in global warming and climate change studies.
We investigate long-term climate reanalyses datasets to infer their quality in reproducing snow...
