Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Volume 7, issue 6
Geosci. Model Dev., 7, 2831–2857, 2014
https://doi.org/10.5194/gmd-7-2831-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 7, 2831–2857, 2014
https://doi.org/10.5194/gmd-7-2831-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 03 Dec 2014

Model description paper | 03 Dec 2014

GEOtop 2.0: simulating the combined energy and water balance at and below the land surface accounting for soil freezing, snow cover and terrain effects

S. Endrizzi et al.
Related authors  
A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)
Samuel Weber, Jan Beutel, Reto Da Forno, Alain Geiger, Stephan Gruber, Tonio Gsell, Andreas Hasler, Matthias Keller, Roman Lim, Philippe Limpach, Matthias Meyer, Igor Talzi, Lothar Thiele, Christian Tschudin, Andreas Vieli, Daniel Vonder Mühll, and Mustafa Yücel
Earth Syst. Sci. Data, 11, 1203–1237, https://doi.org/10.5194/essd-11-1203-2019,https://doi.org/10.5194/essd-11-1203-2019, 2019
Short summary
GlobSim (v1.0): Deriving meteorological time series for point locations from multiple global reanalyses
Bin Cao, Xiaojing Quan, Nicholas Brown, Emilie Stewart-Jones, and Stephan Gruber
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-157,https://doi.org/10.5194/gmd-2019-157, 2019
Manuscript under review for GMD
Short summary
Improving permafrost physics in the coupled Canadian Land Surface Scheme (v. 3.6.2) and Canadian Terrestrial Ecosystem Model (v. 2.1) (CLASS-CTEM)
Joe R. Melton, Diana L. Verseghy, Reinel Sospedra-Alfonso, and Stephan Gruber
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2019-42,https://doi.org/10.5194/gmd-2019-42, 2019
Manuscript under review for GMD
Short summary
REDCAPP (v1.0): parameterizing valley inversions in air temperature data downscaled from reanalyses
Bin Cao, Stephan Gruber, and Tingjun Zhang
Geosci. Model Dev., 10, 2905–2923, https://doi.org/10.5194/gmd-10-2905-2017,https://doi.org/10.5194/gmd-10-2905-2017, 2017
Short summary
Modeling the water budget of the Upper Blue Nile basin using the JGrass-NewAge model system and satellite data
Wuletawu Abera, Giuseppe Formetta, Luca Brocca, and Riccardo Rigon
Hydrol. Earth Syst. Sci., 21, 3145–3165, https://doi.org/10.5194/hess-21-3145-2017,https://doi.org/10.5194/hess-21-3145-2017, 2017
Short summary
Related subject area  
Cryosphere
Scientific workflows applied to the coupling of a continuum (Elmer v8.3) and a discrete element (HiDEM v1.0) ice dynamic model
Shahbaz Memon, Dorothée Vallot, Thomas Zwinger, Jan Åström, Helmut Neukirchen, Morris Riedel, and Matthias Book
Geosci. Model Dev., 12, 3001–3015, https://doi.org/10.5194/gmd-12-3001-2019,https://doi.org/10.5194/gmd-12-3001-2019, 2019
Short summary
A rapidly converging initialisation method to simulate the present-day Greenland ice sheet using the GRISLI ice sheet model (version 1.3)
Sébastien Le clec'h, Aurélien Quiquet, Sylvie Charbit, Christophe Dumas, Masa Kageyama, and Catherine Ritz
Geosci. Model Dev., 12, 2481–2499, https://doi.org/10.5194/gmd-12-2481-2019,https://doi.org/10.5194/gmd-12-2481-2019, 2019
Short summary
Assessment of sub-shelf melting parameterisations using the ocean–ice-sheet coupled model NEMO(v3.6)–Elmer/Ice(v8.3)
Lionel Favier, Nicolas C. Jourdain, Adrian Jenkins, Nacho Merino, Gaël Durand, Olivier Gagliardini, Fabien Gillet-Chaulet, and Pierre Mathiot
Geosci. Model Dev., 12, 2255–2283, https://doi.org/10.5194/gmd-12-2255-2019,https://doi.org/10.5194/gmd-12-2255-2019, 2019
Short summary
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework
Hakase Hayashida, James R. Christian, Amber M. Holdsworth, Xianmin Hu, Adam H. Monahan, Eric Mortenson, Paul G. Myers, Olivier G. J. Riche, Tessa Sou, and Nadja S. Steiner
Geosci. Model Dev., 12, 1965–1990, https://doi.org/10.5194/gmd-12-1965-2019,https://doi.org/10.5194/gmd-12-1965-2019, 2019
Short summary
LIVVkit 2.1: automated and extensible ice sheet model validation
Katherine J. Evans, Joseph H. Kennedy, Dan Lu, Mary M. Forrester, Stephen Price, Jeremy Fyke, Andrew R. Bennett, Matthew J. Hoffman, Irina Tezaur, Charles S. Zender, and Miren Vizcaíno
Geosci. Model Dev., 12, 1067–1086, https://doi.org/10.5194/gmd-12-1067-2019,https://doi.org/10.5194/gmd-12-1067-2019, 2019
Short summary
Cited articles  
Abbott, M., Bathurst, J., Cunge, J., O'Connell, P., and Rasmussen, J.: An introduction to the European Hydrological System – Systeme Hydrologique Europeen, "SHE", 1: History and philosophy of a physically-based, distributed modelling system, J. Hydrol., 87, 45–59, 1986.
Anderson, E. A.: A point energy and mass balance model of a snow cover, Tech. rep., Office of Hydrology, National Weather Service, Silver Spring, MA, USA, 1976.
Armijo, L.: Minimization of functions having Lipschitz continuous first partial derivatives, Pacific J. Math., 6, 1–3, 1966.
Atwater, M. and Brown, P. S.: Numerical computation of the latitudinal variations of solar radiation for an atmosphere of varying opacity, J. Appl. Meteorol., 13, 289–297, 1974.
Auer, A. H. J.: The rain versus snow threshold temperatures, Weatherwise, 27, p. 67, 1974.
Publications Copernicus
Download
Short summary
GEOtop is a fine scale grid-based simulator that represents the heat and water budgets at and below the soil surface, reproduces the highly non-linear interactions between the water and energy balance during soil freezing and thawing and simulates snow cover. The core components of GEOtop 2.0. are described. Based on a synthetic simulation, it is shown that the interaction of processes represented in GEOtop 2.0. can result in phenomena that are relevant for applications involving frozen soils.
GEOtop is a fine scale grid-based simulator that represents the heat and water budgets at and...
Citation