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
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 9 | Copyright

Special issue: The externalised surface model SURFEX

Geosci. Model Dev., 10, 3547-3566, 2017
https://doi.org/10.5194/gmd-10-3547-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 26 Sep 2017

Model description paper | 26 Sep 2017

Implementation of a physically based water percolation routine in the Crocus/SURFEX (V7.3) snowpack model

Christopher J. L. D'Amboise et al.
Related authors
57 years (1960–2017) of snow and meteorological observations from a mid-altitude mountain site (Col de Porte, France, 1325 m alt.)
Yves Lejeune, Marie Dumont, Jean-Michel Panel, Matthieu Lafaysse, Philippe Lapalus, Erwan Le Gac, Bernard Lesaffre, and Samuel Morin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2018-84,https://doi.org/10.5194/essd-2018-84, 2018
Manuscript under review for ESSD
Numerical experiments on vapor diffusion in polar snow and firn and its impact on isotopes using the multi-layer energy balance model Crocus in SURFEX v8.0
Alexandra Touzeau, Amaëlle Landais, Samuel Morin, Laurent Arnaud, and Ghislain Picard
Geosci. Model Dev., 11, 2393-2418, https://doi.org/10.5194/gmd-11-2393-2018,https://doi.org/10.5194/gmd-11-2393-2018, 2018
Relative performance of empirical and physical models in assessing the seasonal and annual glacier surface mass balance of Saint-Sorlin Glacier (French Alps)
Marion Réveillet, Delphine Six, Christian Vincent, Antoine Rabatel, Marie Dumont, Matthieu Lafaysse, Samuel Morin, Vincent Vionnet, and Maxime Litt
The Cryosphere, 12, 1367-1386, https://doi.org/10.5194/tc-12-1367-2018,https://doi.org/10.5194/tc-12-1367-2018, 2018
Parameter uncertainty analysis for an operational hydrological model using residual based and limits of acceptability approaches
Aynom T. Tweldebrahn, John F. Burkhart, and Thomas V. Schuler
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-158,https://doi.org/10.5194/hess-2018-158, 2018
Revised manuscript accepted for HESS
Multi-component ensembles of future meteorological and natural snow conditions for 1500 m altitude in the Chartreuse mountain range, Northern French Alps
Deborah Verfaillie, Matthieu Lafaysse, Michel Déqué, Nicolas Eckert, Yves Lejeune, and Samuel Morin
The Cryosphere, 12, 1249-1271, https://doi.org/10.5194/tc-12-1249-2018,https://doi.org/10.5194/tc-12-1249-2018, 2018
Related subject area
Cryosphere
BrAHMs V1.0: a fast, physically based subglacial hydrology model for continental-scale application
Mark Kavanagh and Lev Tarasov
Geosci. Model Dev., 11, 3497-3513, https://doi.org/10.5194/gmd-11-3497-2018,https://doi.org/10.5194/gmd-11-3497-2018, 2018
SHAKTI: Subglacial Hydrology and Kinetic, Transient Interactions v1.0
Aleah Sommers, Harihar Rajaram, and Mathieu Morlighem
Geosci. Model Dev., 11, 2955-2974, https://doi.org/10.5194/gmd-11-2955-2018,https://doi.org/10.5194/gmd-11-2955-2018, 2018
SMRT: an active–passive microwave radiative transfer model for snow with multiple microstructure and scattering formulations (v1.0)
Ghislain Picard, Melody Sandells, and Henning Löwe
Geosci. Model Dev., 11, 2763-2788, https://doi.org/10.5194/gmd-11-2763-2018,https://doi.org/10.5194/gmd-11-2763-2018, 2018
PIC v1.3: comprehensive R package for computing permafrost indices with daily weather observations and atmospheric forcing over the Qinghai–Tibet Plateau
Lihui Luo, Zhongqiong Zhang, Wei Ma, Shuhua Yi, and Yanli Zhuang
Geosci. Model Dev., 11, 2475-2491, https://doi.org/10.5194/gmd-11-2475-2018,https://doi.org/10.5194/gmd-11-2475-2018, 2018
Numerical experiments on vapor diffusion in polar snow and firn and its impact on isotopes using the multi-layer energy balance model Crocus in SURFEX v8.0
Alexandra Touzeau, Amaëlle Landais, Samuel Morin, Laurent Arnaud, and Ghislain Picard
Geosci. Model Dev., 11, 2393-2418, https://doi.org/10.5194/gmd-11-2393-2018,https://doi.org/10.5194/gmd-11-2393-2018, 2018
Cited articles
Adachia, S., Yamaguchia, S., Ozekib, T., and Kosec, K.: Hysteresis in the water retention curve of snow measured using an MRI system, available at: http://arc.lib.montana.edu/snow-science/objects/issw-2012-918-922.pdf (last access: 6 July 2016), 2012.
Ambach, W. and Howorka, F.: Avalanche Activity and Free Water Content of Snow at Obergurgl (1980 m a.s.l., Spring 1962), Assoc. Int. Hydrol. Sci., 65–72, 1966.
Avanzi, F., Hirashima, H., Yamaguchi, S., Katsushima, T., and De Michele, C.: Observations of capillary barriers and preferential flow in layered snow during cold laboratory experiments, The Cryosphere, 10, 2013–2026, https://doi.org/10.5194/tc-10-2013-2016, 2016.
Bengtsson, L.: Percolation of meltwater through a snowpack, Cold Reg. Sci. Technol., 6, 73–81, doi10.1016/0165-232X(82)90046-5, 1982.
Birkeland, K. W., Hansen, K. J., and Brown, R. L.: The Spatial Variability of Snow Resistance on Potential Avalanche Slopes, J. Glaciol., 41, 183–190, 1995.
Publications Copernicus
Special issue
Download
Short summary
We present a new water percolation routine added to the Crocus model. The new routine is physically based, describing motion of water through a layered snowpack considering capillary-driven and gravity flow. We tested the routine on two data sets. Wet-snow layers were able to reach higher saturations than the empirical routine. Meaningful applicability is limited until new and better parameterizations of water retention are developed, and feedbacks are adjusted to handle higher saturations.
We present a new water percolation routine added to the Crocus model. The new routine is...
Citation
Share