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 3
Geosci. Model Dev., 7, 1115–1136, 2014
https://doi.org/10.5194/gmd-7-1115-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 7, 1115–1136, 2014
https://doi.org/10.5194/gmd-7-1115-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 06 Jun 2014

Development and technical paper | 06 Jun 2014

Testing conceptual and physically based soil hydrology schemes against observations for the Amazon Basin

M. Guimberteau et al.

Related authors

ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions – Part 2: Model evaluation over the Lena River basin
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Pierre Regnier, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 13, 507–520, https://doi.org/10.5194/gmd-13-507-2020,https://doi.org/10.5194/gmd-13-507-2020, 2020
Short summary
ORCHIDEE MICT-LEAK (r5459), a global model for the production, transport, and transformation of dissolved organic carbon from Arctic permafrost regions – Part 1: Rationale, model description, and simulation protocol
Simon P. K. Bowring, Ronny Lauerwald, Bertrand Guenet, Dan Zhu, Matthieu Guimberteau, Ardalan Tootchi, Agnès Ducharne, and Philippe Ciais
Geosci. Model Dev., 12, 3503–3521, https://doi.org/10.5194/gmd-12-3503-2019,https://doi.org/10.5194/gmd-12-3503-2019, 2019
Short summary
Spatio-Temporal Variations and Uncertainty in Land Surface Modelling for High Latitudes: Univariate Response Analysis
Didier G. Leibovici, Shaun Quegan, Edward Comyn-Platt, Gary Hayman, Maria Val Martin, Mathieu Guimberteau, Arsène Druel, Dan Zhu, and Philippe Ciais
Biogeosciences Discuss., https://doi.org/10.5194/bg-2019-252,https://doi.org/10.5194/bg-2019-252, 2019
Revised manuscript accepted for BG
Short summary
A generic pixel-to-point comparison for simulated large-scale ecosystem properties and ground-based observations: an example from the Amazon region
Anja Rammig, Jens Heinke, Florian Hofhansl, Hans Verbeeck, Timothy R. Baker, Bradley Christoffersen, Philippe Ciais, Hannes De Deurwaerder, Katrin Fleischer, David Galbraith, Matthieu Guimberteau, Andreas Huth, Michelle Johnson, Bart Krujit, Fanny Langerwisch, Patrick Meir, Phillip Papastefanou, Gilvan Sampaio, Kirsten Thonicke, Celso von Randow, Christian Zang, and Edna Rödig
Geosci. Model Dev., 11, 5203–5215, https://doi.org/10.5194/gmd-11-5203-2018,https://doi.org/10.5194/gmd-11-5203-2018, 2018
Short summary
Evaluation of ORCHIDEE-MICT-simulated soil moisture over China and impacts of different atmospheric forcing data
Zun Yin, Catherine Ottlé, Philippe Ciais, Matthieu Guimberteau, Xuhui Wang, Dan Zhu, Fabienne Maignan, Shushi Peng, Shilong Piao, Jan Polcher, Feng Zhou, Hyungjun Kim, and other China-Trend-Stream project members
Hydrol. Earth Syst. Sci., 22, 5463–5484, https://doi.org/10.5194/hess-22-5463-2018,https://doi.org/10.5194/hess-22-5463-2018, 2018
Short summary

Related subject area

Hydrology
Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0)
Zhen Yin, Sebastien Strebelle, and Jef Caers
Geosci. Model Dev., 13, 651–672, https://doi.org/10.5194/gmd-13-651-2020,https://doi.org/10.5194/gmd-13-651-2020, 2020
Short summary
glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations
Thomas Bueche, Marko Wenk, Benjamin Poschlod, Filippo Giadrossich, Mario Pirastru, and Mark Vetter
Geosci. Model Dev., 13, 565–580, https://doi.org/10.5194/gmd-13-565-2020,https://doi.org/10.5194/gmd-13-565-2020, 2020
Short summary
The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview
Christopher B. Marsh, John W. Pomeroy, and Howard S. Wheater
Geosci. Model Dev., 13, 225–247, https://doi.org/10.5194/gmd-13-225-2020,https://doi.org/10.5194/gmd-13-225-2020, 2020
Short summary
WAYS v1: a hydrological model for root zone water storage simulation on a global scale
Ganquan Mao and Junguo Liu
Geosci. Model Dev., 12, 5267–5289, https://doi.org/10.5194/gmd-12-5267-2019,https://doi.org/10.5194/gmd-12-5267-2019, 2019
TOPMELT 1.0: a topography-based distribution function approach to snowmelt simulation for hydrological modelling at basin scale
Mattia Zaramella, Marco Borga, Davide Zoccatelli, and Luca Carturan
Geosci. Model Dev., 12, 5251–5265, https://doi.org/10.5194/gmd-12-5251-2019,https://doi.org/10.5194/gmd-12-5251-2019, 2019
Short summary

Cited articles

Abramopoulos, F., Rosenzweig, C., and Choudhury, B.: Improved ground hydrology calculations for global climate models (GCMs): Soil water movement and evapotranspiration, J. Climate, 1, 921–941, 1988.
Azarderakhsh, M., Rossow, W., Papa, F., Norouzi, H., and Khanbilvardi, R.: Diagnosing water variations within the Amazon basin using satellite data, J. Geophys. Res.-Atmos., 116, D24107, https://doi.org/10.1029/2011JD015997, 2011.
Baker, I., Prihodko, L., Denning, A., Goulden, M., Miller, S., and Da Rocha, H.: Seasonal drought stress in the Amazon: Reconciling models and observations, J. Geophys. Res.-Biogeo., 113, G00B01, https://doi.org/10.1029/2007JG000644, 2008.
Ball, J., Woodrow, I., and Berry, J.: A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions, in: Prog. Photosynthesis Res. Proc. Int. Congress 7th, Providence. 10–15 August 1986, Vol 4. Kluwer, Boston., 221–224, 1987.
Becker, M., Meyssignac, B., Xavier, L., Cazenave, A., Alkama, R., and Decharme, B.: Past terrestrial water storage (1980–2008) in the Amazon Basin reconstructed from GRACE and in situ river gauging data, Hydrol. Earth Syst. Sci., 15, 533–546, https://doi.org/10.5194/hess-15-533-2011, 2011.
Publications Copernicus
Download
Citation