Articles | Volume 12, issue 6
https://doi.org/10.5194/tc-12-1887-2018
© Author(s) 2018. 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-12-1887-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jun 2018
Research article |
| 06 Jun 2018
| 06 Jun 2018
Spring snow albedo feedback over northern Eurasia: Comparing in situ measurements with reanalysis products
Institute for Geosciences and Environmental Research (IGE), Univ. Grenoble Alpes, CNRS, IRD,
Grenoble Institute of Engineering Univ. Grenoble Alpes (INP), Grenoble, France
Emanuel Dutra
Instituto Dom Luiz, Faculdade de Ciências, Universidade de Lisboa, Lisbon, Portugal
Hans-Werner Jacobi
Institute for Geosciences and Environmental Research (IGE), Univ. Grenoble Alpes, CNRS, IRD,
Grenoble Institute of Engineering Univ. Grenoble Alpes (INP), Grenoble, France
Olga Zolina
Institute for Geosciences and Environmental Research (IGE), Univ. Grenoble Alpes, CNRS, IRD,
Grenoble Institute of Engineering Univ. Grenoble Alpes (INP), Grenoble, France
Shirshov Institute of Oceanology, Moscow, Russia
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Runoff measurements for 966 catchments around the globe were used to assess the quality of the daily runoff estimates of 10 hydrological models run as part of tier-1 of the eartH2Observe project. We found pronounced inter-model performance differences, underscoring the importance of hydrological model uncertainty.
Rene Orth, Emanuel Dutra, Isabel F. Trigo, and Gianpaolo Balsamo
Hydrol. Earth Syst. Sci., 21, 2483–2495, https://doi.org/10.5194/hess-21-2483-2017, https://doi.org/10.5194/hess-21-2483-2017, 2017
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State-of-the-art land surface models (LSMs) rely on poorly constrained parameters. To enhance LSM configuration, new satellite-based Earth observations are essential. This is because multiple observational datasets allow us to assess and validate the representation of coupled processes in LSMs. The resulting improved LSM configuration is beneficial for coupled weather forecasts, and hence valuable to society.
Martin Wegmann, Yvan Orsolini, Emanuel Dutra, Olga Bulygina, Alexander Sterin, and Stefan Brönnimann
The Cryosphere, 11, 923–935, https://doi.org/10.5194/tc-11-923-2017, https://doi.org/10.5194/tc-11-923-2017, 2017
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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.
Anton Beljaars, Emanuel Dutra, Gianpaolo Balsamo, and Florian Lemarié
Geosci. Model Dev., 10, 977–989, https://doi.org/10.5194/gmd-10-977-2017, https://doi.org/10.5194/gmd-10-977-2017, 2017
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Coupling an atmospheric model with snow and sea ice modules presents numerical stability challenges in integrations with long time steps as commonly used for weather prediction and climate simulations. Explicit flux coupling is often applied for simplicity. In this paper a simple method is presented to stabilize the coupling without having to introduce fully implicit coupling. A formal stability analysis confirms that the method is unconditionally stable.
Stefan Brönnimann, Abdul Malik, Alexander Stickler, Martin Wegmann, Christoph C. Raible, Stefan Muthers, Julien Anet, Eugene Rozanov, and Werner Schmutz
Atmos. Chem. Phys., 16, 15529–15543, https://doi.org/10.5194/acp-16-15529-2016, https://doi.org/10.5194/acp-16-15529-2016, 2016
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The Quasi-Biennial Oscillation is a wind oscillation in the equatorial stratosphere. Effects on climate have been found, which is relevant for seasonal forecasts. However, up to now only relatively short records were available, and even within these the climate imprints were intermittent. Here we analyze a 108-year long reconstruction as well as four 405-year long simulations. We confirm most of the claimed QBO effects on climate, but they are small, which explains apparently variable effects.
Anna Agustí-Panareda, Sébastien Massart, Frédéric Chevallier, Gianpaolo Balsamo, Souhail Boussetta, Emanuel Dutra, and Anton Beljaars
Atmos. Chem. Phys., 16, 10399–10418, https://doi.org/10.5194/acp-16-10399-2016, https://doi.org/10.5194/acp-16-10399-2016, 2016
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This paper presents a method to adjust the sinks and sources of CO2 associated with land ecosystems within a global atmospheric CO2 forecasting system in order to reduce the errors in the forecast. This is done by combining information on (1) retrospective fluxes estimated by a global flux inversion system, (2) land-use information, and (3) simulated fluxes from the model. Because the method is simple and flexible, it can easily run in real time as part of a forecasting system.
H.-W. Jacobi, S. Lim, M. Ménégoz, P. Ginot, P. Laj, P. Bonasoni, P. Stocchi, A. Marinoni, and Y. Arnaud
The Cryosphere, 9, 1685–1699, https://doi.org/10.5194/tc-9-1685-2015, https://doi.org/10.5194/tc-9-1685-2015, 2015
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We detected up to 70 ppb of black carbon (BC) in surface snow in the upper Khumbu Valley, Nepal. With an upgraded snowpack model, including radiative transfer inside the snow, we studied the impact of BC on snow albedo, melting and radiative forcing for the sensitive high altitude regions of the Himalayas. We found that due to BC, the melting of the snow can be shifted by several days up to several weeks depending on meteorological conditions. The impact of BC is larger in dirty snow.
F. Wetterhall, H. C. Winsemius, E. Dutra, M. Werner, and E. Pappenberger
Hydrol. Earth Syst. Sci., 19, 2577–2586, https://doi.org/10.5194/hess-19-2577-2015, https://doi.org/10.5194/hess-19-2577-2015, 2015
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Dry spells can have a devastating impact on agricuture in areas where irrigation is not available. Forecasting these dry spells could enhance preparedness in sensitive regions and avoid economic loss due to harvest failure. In this study, ECMWF seasonal forecasts are applied in the Limpopo basin in southeastern Africa to forecast dry spells in the seasonal rains. The results indicate skill in the forecast which is further improved by post-processing of the precipitation forecasts.
P. Trambauer, M. Werner, H. C. Winsemius, S. Maskey, E. Dutra, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 19, 1695–1711, https://doi.org/10.5194/hess-19-1695-2015, https://doi.org/10.5194/hess-19-1695-2015, 2015
G. Balsamo, C. Albergel, A. Beljaars, S. Boussetta, E. Brun, H. Cloke, D. Dee, E. Dutra, J. Muñoz-Sabater, F. Pappenberger, P. de Rosnay, T. Stockdale, and F. Vitart
Hydrol. Earth Syst. Sci., 19, 389–407, https://doi.org/10.5194/hess-19-389-2015, https://doi.org/10.5194/hess-19-389-2015, 2015
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ERA-Interim/Land is a global land surface reanalysis covering the period 1979–2010. It describes the evolution of soil moisture, soil temperature and snowpack. ERA-Interim/Land includes a number of parameterization improvements in the land surface scheme with respect to the original ERA-Interim and a precipitation bias correction based on GPCP. A selection of verification results show the added value in representing the terrestrial water cycle and its main land surface storages and fluxes.
E. Dutra, F. Wetterhall, F. Di Giuseppe, G. Naumann, P. Barbosa, J. Vogt, W. Pozzi, and F. Pappenberger
Hydrol. Earth Syst. Sci., 18, 2657–2667, https://doi.org/10.5194/hess-18-2657-2014, https://doi.org/10.5194/hess-18-2657-2014, 2014
E. Dutra, W. Pozzi, F. Wetterhall, F. Di Giuseppe, L. Magnusson, G. Naumann, P. Barbosa, J. Vogt, and F. Pappenberger
Hydrol. Earth Syst. Sci., 18, 2669–2678, https://doi.org/10.5194/hess-18-2669-2014, https://doi.org/10.5194/hess-18-2669-2014, 2014
G. Naumann, E. Dutra, P. Barbosa, F. Pappenberger, F. Wetterhall, and J. V. Vogt
Hydrol. Earth Syst. Sci., 18, 1625–1640, https://doi.org/10.5194/hess-18-1625-2014, https://doi.org/10.5194/hess-18-1625-2014, 2014
H. C. Winsemius, E. Dutra, F. A. Engelbrecht, E. Archer Van Garderen, F. Wetterhall, F. Pappenberger, and M. G. F. Werner
Hydrol. Earth Syst. Sci., 18, 1525–1538, https://doi.org/10.5194/hess-18-1525-2014, https://doi.org/10.5194/hess-18-1525-2014, 2014
E. Mwangi, F. Wetterhall, E. Dutra, F. Di Giuseppe, and F. Pappenberger
Hydrol. Earth Syst. Sci., 18, 611–620, https://doi.org/10.5194/hess-18-611-2014, https://doi.org/10.5194/hess-18-611-2014, 2014
P. Trambauer, E. Dutra, S. Maskey, M. Werner, F. Pappenberger, L. P. H. van Beek, and S. Uhlenbrook
Hydrol. Earth Syst. Sci., 18, 193–212, https://doi.org/10.5194/hess-18-193-2014, https://doi.org/10.5194/hess-18-193-2014, 2014
E. Dutra, F. Di Giuseppe, F. Wetterhall, and F. Pappenberger
Hydrol. Earth Syst. Sci., 17, 2359–2373, https://doi.org/10.5194/hess-17-2359-2013, https://doi.org/10.5194/hess-17-2359-2013, 2013
L. Alfieri, P. Burek, E. Dutra, B. Krzeminski, D. Muraro, J. Thielen, and F. Pappenberger
Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, https://doi.org/10.5194/hess-17-1161-2013, 2013
Related subject area
Discipline: Snow | Subject: Climate Interactions
Projection of snowfall extremes in the French Alps as a function of elevation and global warming level
Changes in March mean snow water equivalent since the mid-20th century and the contributing factors in reanalyses and CMIP6 climate models
Spatio-temporal reconstruction of winter glacier mass balance in the Alps, Scandinavia, Central Asia and western Canada (1981–2019) using climate reanalyses and machine learning
Impacts of snow assimilation on seasonal snow and meteorological forecasts for the Tibetan Plateau
Synoptic control over winter snowfall variability observed in a remote site of Apennine Mountains (Italy), 1884–2015
Land–atmosphere interactions in sub-polar and alpine climates in the CORDEX Flagship Pilot Study Land Use and Climate Across Scales (LUCAS) models – Part 2: The role of changing vegetation
Snow conditions in northern Europe: the dynamics of interannual variability versus projected long-term change
Anthropogenic climate change versus internal climate variability: impacts on snow cover in the Swiss Alps
Historical Northern Hemisphere snow cover trends and projected changes in the CMIP6 multi-model ensemble
Optimization of over-summer snow storage at midlatitudes and low elevation
An efficient surface energy–mass balance model for snow and ice
Erwan Le Roux, Guillaume Evin, Raphaëlle Samacoïts, Nicolas Eckert, Juliette Blanchet, and Samuel Morin
The Cryosphere, 17, 4691–4704, https://doi.org/10.5194/tc-17-4691-2023, https://doi.org/10.5194/tc-17-4691-2023, 2023
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We assess projected changes in snowfall extremes in the French Alps as a function of elevation and global warming level for a high-emission scenario. On average, heavy snowfall is projected to decrease below 3000 m and increase above 3600 m, while extreme snowfall is projected to decrease below 2400 m and increase above 3300 m. At elevations in between, an increase is projected until +3 °C of global warming and then a decrease. These results have implications for the management of risks.
Jouni Räisänen
The Cryosphere, 17, 1913–1934, https://doi.org/10.5194/tc-17-1913-2023, https://doi.org/10.5194/tc-17-1913-2023, 2023
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Changes in snow amount since the mid-20th century are studied, focusing on the mechanisms that have changed the water equivalent of the snowpack (SWE). Both reanalysis and climate model data show a decrease in SWE in most of the Northern Hemisphere. The total winter precipitation has increased in most areas, but this has been compensated for by reduced snowfall-to-precipitation ratio and enhanced snowmelt. However, the details and magnitude of these trends vary between different data sets.
Matteo Guidicelli, Matthias Huss, Marco Gabella, and Nadine Salzmann
The Cryosphere, 17, 977–1002, https://doi.org/10.5194/tc-17-977-2023, https://doi.org/10.5194/tc-17-977-2023, 2023
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Spatio-temporal reconstruction of winter glacier mass balance is important for assessing long-term impacts of climate change. However, high-altitude regions significantly lack reliable observations, which is limiting the calibration of glaciological and hydrological models. We aim at improving knowledge on the spatio-temporal variations in winter glacier mass balance by exploring the combination of data from reanalyses and direct snow accumulation observations on glaciers with machine learning.
Wei Li, Jie Chen, Lu Li, Yvan J. Orsolini, Yiheng Xiang, Retish Senan, and Patricia de Rosnay
The Cryosphere, 16, 4985–5000, https://doi.org/10.5194/tc-16-4985-2022, https://doi.org/10.5194/tc-16-4985-2022, 2022
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Snow assimilation over the Tibetan Plateau (TP) may influence seasonal forecasts over this region. To investigate the impacts of snow assimilation on the seasonal forecasts of snow, temperature and precipitation, twin ensemble reforecasts are initialized with and without snow assimilation above 1500 m altitude over the TP for spring and summer in 2018. The results show that snow assimilation can improve seasonal forecasts over the TP through the interaction between land and atmosphere.
Vincenzo Capozzi, Carmela De Vivo, and Giorgio Budillon
The Cryosphere, 16, 1741–1763, https://doi.org/10.5194/tc-16-1741-2022, https://doi.org/10.5194/tc-16-1741-2022, 2022
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This work documents the snowfall variability observed from late XIX century to recent years in Montevergine (southern Italy) and discusses its relationship with large-scale atmospheric circulation. The main results lie in the absence of a trend until mid-1970s, in the strong reduction of the snowfall quantity and frequency from mid-1970s to 1990s and in the increase of both variables from early 2000s. In the past 50 years, the nivometric regime has been strongly modulated by AO and NAO indices.
Priscilla A. Mooney, Diana Rechid, Edouard L. Davin, Eleni Katragkou, Natalie de Noblet-Ducoudré, Marcus Breil, Rita M. Cardoso, Anne Sophie Daloz, Peter Hoffmann, Daniela C. A. Lima, Ronny Meier, Pedro M. M. Soares, Giannis Sofiadis, Susanna Strada, Gustav Strandberg, Merja H. Toelle, and Marianne T. Lund
The Cryosphere, 16, 1383–1397, https://doi.org/10.5194/tc-16-1383-2022, https://doi.org/10.5194/tc-16-1383-2022, 2022
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We use multiple regional climate models to show that afforestation in sub-polar and alpine regions reduces the radiative impact of snow albedo on the atmosphere, reduces snow cover, and delays the start of the snowmelt season. This is important for local communities that are highly reliant on snowpack for water resources and winter tourism. However, models disagree on the amount of change particularly when snow is melting. This shows that more research is needed on snow–vegetation interactions.
Jouni Räisänen
The Cryosphere, 15, 1677–1696, https://doi.org/10.5194/tc-15-1677-2021, https://doi.org/10.5194/tc-15-1677-2021, 2021
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Interannual variability of snow amount in northern Europe is studied. In the coldest areas, total winter precipitation governs snow amount variability. In warmer regions, the fraction of snowfall that survives without melting is more important. Since winter temperature and precipitation are positively correlated, there is often more snow in milder winters in the coldest areas. However, in model simulations of a warmer future climate, snow amount decreases nearly everywhere in northern Europe.
Fabian Willibald, Sven Kotlarski, Adrienne Grêt-Regamey, and Ralf Ludwig
The Cryosphere, 14, 2909–2924, https://doi.org/10.5194/tc-14-2909-2020, https://doi.org/10.5194/tc-14-2909-2020, 2020
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Climate change will significantly reduce snow cover, but the extent remains disputed. We use regional climate model data as a driver for a snow model to investigate the impacts of climate change and climate variability on snow. We show that natural climate variability is a dominant source of uncertainty in future snow trends. We show that anthropogenic climate change will change the interannual variability of snow. Those factors will increase the vulnerabilities of snow-dependent economies.
Lawrence Mudryk, María Santolaria-Otín, Gerhard Krinner, Martin Ménégoz, Chris Derksen, Claire Brutel-Vuilmet, Mike Brady, and Richard Essery
The Cryosphere, 14, 2495–2514, https://doi.org/10.5194/tc-14-2495-2020, https://doi.org/10.5194/tc-14-2495-2020, 2020
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We analyze how well updated state-of-the-art climate models reproduce observed historical snow cover extent and snow mass and how they project that these quantities will change up to the year 2100. Overall the updated models better represent historical snow extent than previous models, and they simulate stronger historical trends in snow extent and snow mass. They project that spring snow extent will decrease by 8 % for each degree Celsius that the global surface air temperature increases.
Hannah S. Weiss, Paul R. Bierman, Yves Dubief, and Scott D. Hamshaw
The Cryosphere, 13, 3367–3382, https://doi.org/10.5194/tc-13-3367-2019, https://doi.org/10.5194/tc-13-3367-2019, 2019
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Climate change is devastating winter tourism. High-elevation, high-latitude ski centers have turned to saving snow over the summer. We present results of two field seasons to test and optimize over-summer snow storage at a midlatitude, low-elevation nordic ski center in the northeastern USA. In 2018, we tested coverings and found success overlaying 20 cm of wet woodchips with a reflective sheet. In 2019, we employed this strategy to a large pile and stored sufficient snow to open the ski season.
Andreas Born, Michael A. Imhof, and Thomas F. Stocker
The Cryosphere, 13, 1529–1546, https://doi.org/10.5194/tc-13-1529-2019, https://doi.org/10.5194/tc-13-1529-2019, 2019
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We present a new numerical model to simulate the surface energy and mass balance of snow and ice. While similar models exist and cover a wide range of complexity from empirical models to those that simulate the microscopic structure of individual snow grains, we aim to strike a balance between physical completeness and numerical efficiency. This new model will enable physically accurate simulations over timescales of hundreds of millennia, a key requirement of investigating ice age cycles.
Cited articles
Balsamo, G., Albergel, C., Beljaars, A., Boussetta, S., Brun, E., Cloke, H.,
Dee, D., Dutra, E., Muñoz-Sabater, J., Pappenberger, F., de Rosnay, P.,
Stockdale, T., and Vitart, F.: ERA-Interim/Land: a global land surface
reanalysis data set, Hydrol. Earth Syst. Sci., 19, 389–407,
https://doi.org/10.5194/hess-19-389-2015, 2015.
Betts, A. K. and Ball, J. H.: Albedo over the boreal forest, J. Geophys.
Res.-Atmos., 102, 28901–28909, 1997.
Bony, S., Colman, R., Kattsov, V. M., Allan, R. P., Bretherton, C. S.,
Dufresne, J., Hall, A., Hallegatte, S., Holland, M. M., Ingram, W., Randall,
D. A., Soden, B. J., Tselioudis, G., and Webb, M. J.: How Well Do We
Understand and Evaluate Climate Change Feedback Processes?, J. Climate, 19,
3445–3482, 2006.
Brun, E., Vionnet, V., Boone, A., Decharme, B., Peings, Y., Valette, R.,
Karbou, F., and Morin, S.: Simulation of Northern Eurasian Local Snow Depth,
Mass, and Density Using a Detailed Snowpack Model and Meteorological
Reanalyses, J. Hydrometeorol., 14, 203–219, 2013.
Brutel-Vuilmet, C., Ménégoz, M., and Krinner, G.: An analysis of
present and future seasonal Northern Hemisphere land snow cover simulated by
CMIP5 coupled climate models, The Cryosphere, 7, 67–80,
https://doi.org/10.5194/tc-7-67-2013, 2013.
Budkyo, M. I.: The effect of solar radiation on the climate of the earth,
Tellus, 21, 611–619, 1967.
Bulygina, O. N., Groisman, P. Y., Razuvaev, V. N., and Radionov, V. F.: Snow
cover basal ice layer changes over Northern Eurasia since 1966, Environ. Res.
Lett., 5, 015004, https://doi.org/10.1088/1748-9326/5/1/015004, 2010.
Cess, R. O. and Potter, G. L.: Interpretation of snow-climate feedback as
produced by 17 general circulation models, Science, 253, 888–892,
https://doi.org/10.1126/science.253.5022.888, 1991.
Collins, M., Knutti, R., Arblaster, J., Dufresne, J.-L., Fichefet, T.,
Friedlingstein, P., Gao, X., Gutowski, W. J., Johns, T., Krinner, G.,
Shongwe, M., Tebaldi, C., Weaver, A. J., and Wehner, M.: Long-term Climate
Change: Projections, Commitments and Irreversibility, in: Climate Change
2013: The Physical Science Basis. Contribution of Working Group I to the
Fifth Assessment Report of the Intergovernmental Panel on Climate Change,
edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S.
K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 2013.
Curry, J. A., Schramm, J. L., Rossow, W. B., and Randall, D.: Overview of
Arctic cloud and radiation characteristics, J. Climate, 9, 1731–1764, 1996
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P.,
Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P.,
Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bid- lot, J., Bormann, N.,
Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S.
B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler,
M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J.,
Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N.,
& Vitart, F.: The ERA–interim reanalysis: Configuration and performance
of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597,
2011.
Derksen, C. and Brown, R.: Spring snow cover extent reductions in the
2008–2012 period exceeding climate model projections, Geophys. Res. Lett.,
39, L19504, https://doi.org/10.1029/2012GL053387, 2012.
Dufour, A., Zolina, O., and Gulev, S. K.: Atmospheric moisture transport to
the Arctic: Assessment of reanalyses and analysis of transport components, J.
Climate, 29, 5061–5081, 2016.
Dutra, E., Balsamo, G., Viterbo, P., Miranda, P. M., Beljaars, A., Schär,
C., and Elder, K.: An improved snow scheme for the ECMWF land surface model:
description and offline validation, J. Hydrometeorol., 11, 899–916, 2010.
Fernandes, R., Zhao, H., Wang, X., Key, J., Qu, X., and Hall, A.: Controls on
Northern Hemisphere snow albedo feedback quantified using satellite earth
observations, Geophys. Res. Lett., 36, L21702, https://doi.org/10.1029/2009GL040057,
2009.
Flanner, M. G., Shell, K. M., Barlage, M., Perovich, D. K., and Tschudi, M.
A.: Radiative forcing and albedo feedback from the Northern Hemisphere
cryosphere between 1979 and 2008, Nat. Geosci., 4, 151,
https://doi.org/10.1038/ngeo1062, 2011.
Fletcher, C. G., Zhao, H., Kushner, P. J., and Fernandes, R.: Using models
and satellite observations to evaluate the strength of snow albedo feedback,
J. Geophys. Res.-Atmos., 117, D11117, https://doi.org/10.1029/2012JD017724, 2012.
Fletcher, C. G., Thackeray, C. W., and Burgers, T. M.: Evaluating biases in
simulated snow albedo feedback in two generations of climate models, J.
Geophys. Res.-Atmos., 120, 12–26, 2015.
Foster, J. L., Sun, C., Walker, J. P., Kelly, R., Chang, A., Dong, J., and
Powell, H.: Quantifying the uncertainty in passive microwave snow water
equivalent observations, Remote Sens. Environ., 94, 187–203, 2005.
Gelaro, R., McCarty, W., Suárez, M. J., Todling, R., Molod, A., Takacs,
L., Randles, C. A., Darmenov, A., Bosilovich, M. G., Reichle, R., Wargan, K.,
Coy, L., Cullather, R., Draper, C., Akella, S., Buchard, V., Conaty, A., da
Silva, A. M., Gu, W., Kim, G., Koster, R., Lucchesi, R., Merkova, D.,
Nielsen, J. E., Partyka, G., Pawson, S., Putman, W., Rienecker, M., Schubert,
S. D., Sienkiewicz, M., and Zhao, B.: The Modern-Era Retrospective Analysis
for Research and Applications, Version 2 (MERRA-2), J. Climate, 30,
5419–5454, 2017.
Graversen, R. G. and Wang, M.: Polar amplification in a coupled climate model
with locked albedo, Clim. Dynam., 33, 629–643, 2009.
Graversen, R. G., Langen, P. L., and Mauritsen, T.: Polar amplification in
CCSM4: Contributions from the lapse rate and surface albedo feedbacks, J.
Climate, 27, 4433–4450, 2014.
Groisman, P. Y., Karl, T. R., Knight, R. W., and Stenchikov, G. L.: Changes
of snow cover, temperature, and radiative heat balance over the Northern
Hemisphere, J. Climate, 7, 1633–1656, 1994.
Hall, A.: The role of surface albedo feedback in climate, J. Climate, 17,
1550–1568, 2004.
Hall, A. and Qu, X.: Using the current seasonal cycle to constrain snow
albedo feedback in future climate change, Geophys. Res. Lett., 33, L03502,
https://doi.org/10.1029/2005GL025127, 2006.
Hall, D. K., Riggs, G. A., Salomonson, V. V., DiGirolamo, N. E., and Bayr, K.
J.: MODIS snow-cover products, Remote Sens. Environ., 83, 181–194, 2002.
Hall, A., Qu, X., and Neelin, J. D.: Improving predictions of summer climate
change in the United States, Geophys. Res. Lett., 35, L01702,
https://doi.org/10.1029/2007GL032012, 2008.
Kanamitsu, M., Ebisuzaki, W., Woollen, J., Yang, S. K., Hnilo, J. J.,
Fiorino, M., and Potter, G. L.: Ncep–doe amip-ii reanalysis (r-2), B.
Am. Meteorol. Soc., 83, 1631–1643, 2002.
Kevin, J. P. W., Kotlarski, S., Scherrer, S. C., and Schär, C.: The
Alpine snow-albedo feedback in regional climate models, Clim. Dynam., 48,
1109–1124, 2017.
Justice, C. O., Townshend, J. R. G., Holben, B. N., and Tucker, E. C.:
Analysis of the phenology of global vegetation using meteorological satellite
data, Int. J. Remote Sens., 6, 1271–1318, 1985.
Lian, M. S. and Cess, R. D.: Energy balance climate models: A
reappraisal of ice-albedo feedback, J. Atmos. Sci., 34,
1058–1062, 1977.
Lindsay, R., Wensnahan, M., Schweiger, A., and Zhang, J.: Evaluation of seven
different atmospheric reanalysis products in the Arctic, J. Climate, 27,
2588–2606, 2014.
Pithan, F. and Mauritsen, T.: Arctic amplification dominated by temperature
feedbacks in contemporary climate models, Nat. Geosci., 7, 181–184,
https://doi.org/10.1038/ngeo2071, 2014.
Qu, X. and Hall, A.: What controls the strength of snow-albedo feedback?, J.
Climate, 20, 3971–3981, 2007.
Qu, X. and Hall, A.: On the persistent spread in snow-albedo feedback, Clim.
Dynam., 42, 69–81, 2014.
Rasmussen, R., Baker, B., Kochendorfer, J., Meyers, T., Landolt, S., Fischer,
A. P., Black, J., Thériault, J. M., Kucera, P., Gochis, D., Smith, C.,
Nitu, R., Hall, M., Ikeda, K., and Gutmann, E.: How Well Are We Measuring
Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed, Bull. Amer. Meteor.
Soc., 93, 811–829, 2012.
Reichle, R. H., Draper, C. S., Liu, Q., Girotto, M., Mahanama, S. P., Koster,
R. D., and De Lannoy, G. J.: Assessment of MERRA-2 land surface hydrology
estimates, J. Climate, 30, 2937–2960, 2017.
Rienecker, M. M., Suarez, M. J., Gelaro, R., Todling, R., Bacmeister, J.,
Liu, E., Bosilovich, M. G., Schubert, S. D., Takacs, L., Kim, G., Bloom, S.,
Chen, J., Collins, D., Conaty, A., da Silva, A., Gu, W., Joiner, J., Koster,
R. D., Lucchesi, R., Molod, A., Owens, T., Pawson, S., Pegion, P., Redder, C.
R., Reichle, R., Robertson, F. R., Ruddick, A. G., Sienkiewicz, M., and
Woollen, J.: MERRA: NASA's Modern-Era Retrospective Analysis for Research and
Applications, J. Climate, 24, 3624–3648, 2011.
Robock, A.: Ice and snow feedbacks and the latitudinal and seasonal
distribution of climate sensitivity, J. Atmos. Sci., 40, 986–997, 1983.
Roesch, A., Gilgen, H., Wild, M., and Ohmura, A.: Assessment of GCM simulated
snow albedo using direct observations, Clim. Dynam., 15, 405–418, 1999.
Romanov, P., Gutman, G., and Csiszar, I.: Satellite-derived snow cover maps
for North America: accuracy assessment, Adv. Space Res., 30, 2455–2460,
2002.
Schiffer, R. A. and Rossow, W. B.: The International Satellite Cloud
Climatology Project(ISCCP) – The first project of the World Climate Research
Programme, American Meteorological Society, Bulletin, 64, 779–784, 1983.
Schneider, S. H. and Dickinson, R. E.: Climate modeling, Rev. Geophys., 12,
447–493, 1974.
Schubert, S. D., Wang, H., Koster, R. D., Suarez, M. J., and Groisman, P. Y.:
Northern Eurasian heat waves and droughts, J. Climate, 27, 3169–3207, 2014.
Serreze, M. C. and Barry, R. G.: Processes and impacts of Arctic
amplification: A research synthesis, Global Planet. Change, 77, 85–96, 2011.
Stroeve, J. C., Box, J. E., and Haran, T.: Evaluation of the MODIS (MOD10A1)
daily snow albedo product over the Greenland ice sheet, Remote Sens.
Environ., 105, 155–171, 2006.
Thackeray, C. W. and Fletcher, C. G.: Snow albedo feedback: Current
knowledge, importance, outstanding issues and future directions, Prog. Phys.
Geog., 40, 392–408, 2016.
Wang, Z., Schaaf, C. B., Strahler, A. H., Chopping, M. J., Román, M. O.,
Shuai, Y., Woodcock, C. E., Hollinger, D. Y., and Fitzjarrald, D. R.:
Evaluation of MODIS albedo product (MCD43A) over grassland, agriculture and
forest surface types during dormant and snow-covered periods, Remote Sens.
Environ., 140, 60–77, 2014.
Wei, X., Hahmann, A. N., Dickinson, R. E., Yang, Z. L., Zeng, X., Schaudt, K.
J., Schaaf, C. B., and Strugnell, N.: Comparison of albedos computed by land
surface models and evaluation against remotely sensed data, J. Geophys.
Res.-Atmos., 106, 20687–20702, 2001.
Wegmann, M., Orsolini, Y., Dutra, E., Bulygina, O., Sterin, A., and
Brönnimann, S.: Eurasian snow depth in long-term climate reanalyses, The
Cryosphere, 11, 923–935, https://doi.org/10.5194/tc-11-923-2017, 2017.
Wexler, H.: Radiation balance of the Earth as a factor in climatic change,
in: Climatic Change, edited by: Shapley, H., Cambridge, Harvard University
Press, 73–105, 1953.
Xiao, L., Che, T., Chen, L., Xie, H., and Dai, L.: Quantifying Snow Albedo
Radiative Forcing and Its Feedback during 2003–2016, Remote Sensing, 9, 883,
https://doi.org/10.3390/rs9090883, 2017.
Short summary
An important factor for Earth's climate is the high sunlight reflectivity of snow. By melting, it reveals darker surfaces and sunlight is converted to heat. We investigate how well this process is represented in reanalyses data sets compared to observations over Russia. We found snow processes to be well represented, but reflectivity variability needs to be improved. Our results highlight the need for a better representation of this key climate change feedback process in modelled data.
An important factor for Earth's climate is the high sunlight reflectivity of snow. By melting,...
