Journal cover Journal topic
The Cryosphere An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 4.790 IF 4.790
  • IF 5-year value: 5.921 IF 5-year
    5.921
  • CiteScore value: 5.27 CiteScore
    5.27
  • SNIP value: 1.551 SNIP 1.551
  • IPP value: 5.08 IPP 5.08
  • SJR value: 3.016 SJR 3.016
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 63 Scimago H
    index 63
  • h5-index value: 51 h5-index 51
Volume 10, issue 2
The Cryosphere, 10, 853–877, 2016
https://doi.org/10.5194/tc-10-853-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
The Cryosphere, 10, 853–877, 2016
https://doi.org/10.5194/tc-10-853-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 18 Apr 2016

Research article | 18 Apr 2016

Impacts of snow and organic soils parameterization on northern Eurasian soil temperature profiles simulated by the ISBA land surface model

Bertrand Decharme et al.

Related authors

Modulation of radiative aerosols effects by atmospheric circulation over the Euro-Mediterranean region
Pierre Nabat, Samuel Somot, Christophe Cassou, Marc Mallet, Martine Michou, Dominique Bouniol, Bertrand Decharme, Thomas Drugé, Romain Roehrig, and David Saint-Martin
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2019-1183,https://doi.org/10.5194/acp-2019-1183, 2020
Preprint under review for ACP
Short summary
Long-term Total Water Storage Change from a SAtellite Water Cycle (SAWC) reconstruction over large south Asian basins
Victor Pellet, Filipe Aires, Fabrice Papa, Simon Munier, and Bertrand Decharme
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-262,https://doi.org/10.5194/hess-2019-262, 2019
Revised manuscript under review for HESS
Short summary
ESM-SnowMIP: assessing snow models and quantifying snow-related climate feedbacks
Gerhard Krinner, Chris Derksen, Richard Essery, Mark Flanner, Stefan Hagemann, Martyn Clark, Alex Hall, Helmut Rott, Claire Brutel-Vuilmet, Hyungjun Kim, Cécile B. Ménard, Lawrence Mudryk, Chad Thackeray, Libo Wang, Gabriele Arduini, Gianpaolo Balsamo, Paul Bartlett, Julia Boike, Aaron Boone, Frédérique Chéruy, Jeanne Colin, Matthias Cuntz, Yongjiu Dai, Bertrand Decharme, Jeff Derry, Agnès Ducharne, Emanuel Dutra, Xing Fang, Charles Fierz, Josephine Ghattas, Yeugeniy Gusev, Vanessa Haverd, Anna Kontu, Matthieu Lafaysse, Rachel Law, Dave Lawrence, Weiping Li, Thomas Marke, Danny Marks, Martin Ménégoz, Olga Nasonova, Tomoko Nitta, Masashi Niwano, John Pomeroy, Mark S. Raleigh, Gerd Schaedler, Vladimir Semenov, Tanya G. Smirnova, Tobias Stacke, Ulrich Strasser, Sean Svenson, Dmitry Turkov, Tao Wang, Nander Wever, Hua Yuan, Wenyan Zhou, and Dan Zhu
Geosci. Model Dev., 11, 5027–5049, https://doi.org/10.5194/gmd-11-5027-2018,https://doi.org/10.5194/gmd-11-5027-2018, 2018
Short summary
Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model
Emiliano Gelati, Bertrand Decharme, Jean-Christophe Calvet, Marie Minvielle, Jan Polcher, David Fairbairn, and Graham P. Weedon
Hydrol. Earth Syst. Sci., 22, 2091–2115, https://doi.org/10.5194/hess-22-2091-2018,https://doi.org/10.5194/hess-22-2091-2018, 2018
Short summary
An interactive ocean surface albedo scheme (OSAv1.0): formulation and evaluation in ARPEGE-Climat (V6.1) and LMDZ (V5A)
Roland Séférian, Sunghye Baek, Olivier Boucher, Jean-Louis Dufresne, Bertrand Decharme, David Saint-Martin, and Romain Roehrig
Geosci. Model Dev., 11, 321–338, https://doi.org/10.5194/gmd-11-321-2018,https://doi.org/10.5194/gmd-11-321-2018, 2018
Short summary

Related subject area

Numerical Modelling
Parameter sensitivity analysis of dynamic ice sheet models – numerical computations
Gong Cheng and Per Lötstedt
The Cryosphere, 14, 673–691, https://doi.org/10.5194/tc-14-673-2020,https://doi.org/10.5194/tc-14-673-2020, 2020
Short summary
Deep learning applied to glacier evolution modelling
Jordi Bolibar, Antoine Rabatel, Isabelle Gouttevin, Clovis Galiez, Thomas Condom, and Eric Sauquet
The Cryosphere, 14, 565–584, https://doi.org/10.5194/tc-14-565-2020,https://doi.org/10.5194/tc-14-565-2020, 2020
Short summary
Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations
Nils Hutter and Martin Losch
The Cryosphere, 14, 93–113, https://doi.org/10.5194/tc-14-93-2020,https://doi.org/10.5194/tc-14-93-2020, 2020
Short summary
Micromechanical modeling of snow failure
Grégoire Bobillier, Bastian Bergfeld, Achille Capelli, Jürg Dual, Johan Gaume, Alec van Herwijnen, and Jürg Schweizer
The Cryosphere, 14, 39–49, https://doi.org/10.5194/tc-14-39-2020,https://doi.org/10.5194/tc-14-39-2020, 2020
Changing characteristics of runoff and freshwater export from watersheds draining northern Alaska
Michael A. Rawlins, Lei Cai, Svetlana L. Stuefer, and Dmitry Nicolsky
The Cryosphere, 13, 3337–3352, https://doi.org/10.5194/tc-13-3337-2019,https://doi.org/10.5194/tc-13-3337-2019, 2019
Short summary

Cited articles

Adam, J. C. and Lettenmaier, D. P.: Adjustment of global gridded precipitation for systematic bias, J. Geophys. Res., 108, 4257, https://doi.org/10.1029/2002JD002499, 2003.
Anderson, E. A.: A point energy and mass balance model of a snow cover, Technical Report NWS 19, National Oceanic and Atmospheric Administration (NOAA), Silver Spring, MD, USA, 150 pp., 1976.
Armstrong, R.: Historical Soviet daily snow depth version 2 (HSDSD), National Snow and Ice Data Center, Boulder, CO, CD-ROM, http://nsidc.org/data/docs/noaa/g01092_hsdsd/index.html (last access: April 2016), 2001.
Armstrong, R. L. and Brun, E.: Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, Cambridge University Press, 222 pp., 2008.
Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, 2002.
Publications Copernicus
Download
Short summary
We analyze how snowpack processes and soil properties impact the soil temperature profiles over northern Eurasian regions using a land surface model. A correct representation of snow compaction is critical in winter while snow albedo is dominant in spring. In summer, soil temperature is more affected by soil organic carbon content, which strongly influences the maximum thaw depth in permafrost regions. This work was done to improve the representation of boreal region processes in climate models.
We analyze how snowpack processes and soil properties impact the soil temperature profiles over...
Citation