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: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year
    4.890
  • CiteScore value: 4.49 CiteScore
    4.49
  • SNIP value: 1.539 SNIP 1.539
  • IPP value: 4.28 IPP 4.28
  • SJR value: 2.404 SJR 2.404
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 51 Scimago H
    index 51
  • h5-index value: 40 h5-index 40
Volume 9, issue 1
Geosci. Model Dev., 9, 363-381, 2016
https://doi.org/10.5194/gmd-9-363-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 363-381, 2016
https://doi.org/10.5194/gmd-9-363-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Development and technical paper 28 Jan 2016

Development and technical paper | 28 Jan 2016

The improvement of soil thermodynamics and its effects on land surface meteorology in the IPSL climate model

F. Wang et al.
Related authors  
Assimilation of river discharge in a land surface model to improve estimates of the continental water cycles
Fuxing Wang, Jan Polcher, Philippe Peylin, and Vladislav Bastrikov
Hydrol. Earth Syst. Sci., 22, 3863-3882, https://doi.org/10.5194/hess-22-3863-2018,https://doi.org/10.5194/hess-22-3863-2018, 2018
Short summary
ORCHIDEE-MICT (v8.4.1), a land surface model for the high latitudes: model description and validation
Matthieu Guimberteau, Dan Zhu, Fabienne Maignan, Ye Huang, Chao Yue, Sarah Dantec-Nédélec, Catherine Ottlé, Albert Jornet-Puig, Ana Bastos, Pierre Laurent, Daniel Goll, Simon Bowring, Jinfeng Chang, Bertrand Guenet, Marwa Tifafi, Shushi Peng, Gerhard Krinner, Agnès Ducharne, Fuxing Wang, Tao Wang, Xuhui Wang, Yilong Wang, Zun Yin, Ronny Lauerwald, Emilie Joetzjer, Chunjing Qiu, Hyungjun Kim, and Philippe Ciais
Geosci. Model Dev., 11, 121-163, https://doi.org/10.5194/gmd-11-121-2018,https://doi.org/10.5194/gmd-11-121-2018, 2018
Short summary
Related subject area  
Climate and Earth System Modeling
Fldgen v1.0: an emulator with internal variability and space–time correlation for Earth system models
Robert Link, Abigail Snyder, Cary Lynch, Corinne Hartin, Ben Kravitz, and Ben Bond-Lamberty
Geosci. Model Dev., 12, 1477-1489, https://doi.org/10.5194/gmd-12-1477-2019,https://doi.org/10.5194/gmd-12-1477-2019, 2019
Short summary
Global emissions pathways under different socioeconomic scenarios for use in CMIP6: a dataset of harmonized emissions trajectories through the end of the century
Matthew J. Gidden, Keywan Riahi, Steven J. Smith, Shinichiro Fujimori, Gunnar Luderer, Elmar Kriegler, Detlef P. van Vuuren, Maarten van den Berg, Leyang Feng, David Klein, Katherine Calvin, Jonathan C. Doelman, Stefan Frank, Oliver Fricko, Mathijs Harmsen, Tomoko Hasegawa, Petr Havlik, Jérôme Hilaire, Rachel Hoesly, Jill Horing, Alexander Popp, Elke Stehfest, and Kiyoshi Takahashi
Geosci. Model Dev., 12, 1443-1475, https://doi.org/10.5194/gmd-12-1443-2019,https://doi.org/10.5194/gmd-12-1443-2019, 2019
Short summary
HOMMEXX 1.0: a performance-portable atmospheric dynamical core for the Energy Exascale Earth System Model
Luca Bertagna, Michael Deakin, Oksana Guba, Daniel Sunderland, Andrew M. Bradley, Irina K. Tezaur, Mark A. Taylor, and Andrew G. Salinger
Geosci. Model Dev., 12, 1423-1441, https://doi.org/10.5194/gmd-12-1423-2019,https://doi.org/10.5194/gmd-12-1423-2019, 2019
Short summary
A predictive algorithm for wetlands in deep time paleoclimate models
David J. Wilton, Marcus P. S. Badger, Euripides P. Kantzas, Richard D. Pancost, Paul J. Valdes, and David J. Beerling
Geosci. Model Dev., 12, 1351-1364, https://doi.org/10.5194/gmd-12-1351-2019,https://doi.org/10.5194/gmd-12-1351-2019, 2019
Short summary
A crop yield change emulator for use in GCAM and similar models: Persephone v1.0
Abigail Snyder, Katherine V. Calvin, Meridel Phillips, and Alex C. Ruane
Geosci. Model Dev., 12, 1319-1350, https://doi.org/10.5194/gmd-12-1319-2019,https://doi.org/10.5194/gmd-12-1319-2019, 2019
Short summary
Cited articles  
Ait-Mesbah, S., Dufresne, J.-L., Cheruy, F., and Hourdin, F.: Mean and diurnal range of surface temperature over semi-arid and arid regions depend strongly on soil thermal inertia, Geophys. Res. Lett., 42, 7572–7580, https://doi.org/10.1002/2015GL065553, 2015.
Abu-Hamdeh, N. H.: Thermal properties of soils as affected by density and water content, Biosyst. Eng., 86, 97–102, https://doi.org/10.1016/S1537-5110(03)00112-0, 2003.
Balsamo, G., Beljaars, A., Scipal, K., Viterbo, P., van den Hurk, B., Hirschi, M., and Betts, A. K.: A revised hydrology for the ECMWF Model: verification from field site to terrestrial water storage and impact in the integrated forecast system, J. Hydrometeorol., 10, 623–643, https://doi.org/10.1175/2008JHM1068.1, 2009.
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R .L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677==699, https://doi.org/10.5194/gmd-4-677-2011, 2011.
Publications Copernicus
Download
Short summary
The soil thermodynamics in the IPSL climate model is improved by adopting a common vertical discretization for soil moisture and temperature, by coupling soil heat convection-conduction process, and by computing the thermal properties as a function of soil moisture and texture. The dependence of the soil thermal properties on moisture and texture lead to the most significant changes in the surface temperature, with the strongest effects taking place over dry areas and during the night.
The soil thermodynamics in the IPSL climate model is improved by adopting a common vertical...
Citation