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
GMD | Articles | Volume 11, issue 12
Geosci. Model Dev., 11, 4933–4964, 2018
https://doi.org/10.5194/gmd-11-4933-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 11, 4933–4964, 2018
https://doi.org/10.5194/gmd-11-4933-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 06 Dec 2018

Development and technical paper | 06 Dec 2018

V2Karst V1.1: a parsimonious large-scale integrated vegetation–recharge model to simulate the impact of climate and land cover change in karst regions

Fanny Sarrazin et al.
Related authors  
A soil moisture monitoring network to characterize karstic recharge and evapotranspiration at five representative sites across the globe
Romane Berthelin, Michael Rinderer, Bartolomé Andreo, Andy Baker, Daniela Kilian, Gabriele Leonhardt, Annette Lotz, Kurt Lichtenwoehrer, Matías Mudarra, Ingrid Y. Padilla, Fernando Pantoja Agreda, Rafael Rosolem, Abel Vale, and Andreas Hartmann
Geosci. Instrum. Method. Data Syst. Discuss., https://doi.org/10.5194/gi-2019-22,https://doi.org/10.5194/gi-2019-22, 2019
Manuscript under review for GI
DECIPHeR v1: Dynamic fluxEs and ConnectIvity for Predictions of HydRology
Gemma Coxon, Jim Freer, Rosanna Lane, Toby Dunne, Wouter J. M. Knoben, Nicholas J. K. Howden, Niall Quinn, Thorsten Wagener, and Ross Woods
Geosci. Model Dev., 12, 2285–2306, https://doi.org/10.5194/gmd-12-2285-2019,https://doi.org/10.5194/gmd-12-2285-2019, 2019
Short summary
Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across a large-sample of catchments in Great Britain
Rosanna A. Lane, Gemma Coxon, Jim E. Freer, Thorsten Wagener, Penny J. Johnes, John P. Bloomfield, Sheila Greene, Christopher J. A. Macleod, and Sim M. Reaney
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-635,https://doi.org/10.5194/hess-2018-635, 2019
Revised manuscript accepted for HESS
Short summary
Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas
Keith J. Beven, Susana Almeida, Willy P. Aspinall, Paul D. Bates, Sarka Blazkova, Edoardo Borgomeo, Jim Freer, Katsuichiro Goda, Jim W. Hall, Jeremy C. Phillips, Michael Simpson, Paul J. Smith, David B. Stephenson, Thorsten Wagener, Matt Watson, and Kate L. Wilkins
Nat. Hazards Earth Syst. Sci., 18, 2741–2768, https://doi.org/10.5194/nhess-18-2741-2018,https://doi.org/10.5194/nhess-18-2741-2018, 2018
Short summary
Epistemic uncertainties and natural hazard risk assessment – Part 2: What should constitute good practice?
Keith J. Beven, Willy P. Aspinall, Paul D. Bates, Edoardo Borgomeo, Katsuichiro Goda, Jim W. Hall, Trevor Page, Jeremy C. Phillips, Michael Simpson, Paul J. Smith, Thorsten Wagener, and Matt Watson
Nat. Hazards Earth Syst. Sci., 18, 2769–2783, https://doi.org/10.5194/nhess-18-2769-2018,https://doi.org/10.5194/nhess-18-2769-2018, 2018
Short summary
Related subject area  
Hydrology
A parallel workflow implementation for PEST version 13.6 in high-performance computing for WRF-Hydro version 5.0: a case study over the midwestern United States
Jiali Wang, Cheng Wang, Vishwas Rao, Andrew Orr, Eugene Yan, and Rao Kotamarthi
Geosci. Model Dev., 12, 3523–3539, https://doi.org/10.5194/gmd-12-3523-2019,https://doi.org/10.5194/gmd-12-3523-2019, 2019
Short summary
r.sim.terrain 1.0: a landscape evolution model with dynamic hydrology
Brendan Alexander Harmon, Helena Mitasova, Anna Petrasova, and Vaclav Petras
Geosci. Model Dev., 12, 2837–2854, https://doi.org/10.5194/gmd-12-2837-2019,https://doi.org/10.5194/gmd-12-2837-2019, 2019
Short summary
The probabilistic hydrological MARCSHYDRO (the MARkov Chain System) model: its structure and core version 0.2
Elena Shevnina and Andrey Silaev
Geosci. Model Dev., 12, 2767–2780, https://doi.org/10.5194/gmd-12-2767-2019,https://doi.org/10.5194/gmd-12-2767-2019, 2019
Short summary
A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration
Ting Sun and Sue Grimmond
Geosci. Model Dev., 12, 2781–2795, https://doi.org/10.5194/gmd-12-2781-2019,https://doi.org/10.5194/gmd-12-2781-2019, 2019
Short summary
The multiscale routing model mRM v1.0: simple river routing at resolutions from 1 to 50 km
Stephan Thober, Matthias Cuntz, Matthias Kelbling, Rohini Kumar, Juliane Mai, and Luis Samaniego
Geosci. Model Dev., 12, 2501–2521, https://doi.org/10.5194/gmd-12-2501-2019,https://doi.org/10.5194/gmd-12-2501-2019, 2019
Short summary
Cited articles  
Abramowitz, G., Leuning, R., Clark, M., and Pitman, A.: Evaluating the performance of land surface Models, J. Clim., 21, 5468–5481, https://doi.org/10.1175/2008JCLI2378.1, 2008. 
Alcalá, F. J., Cantón, Y., Contreras, S., Were, A., Serrano-Ortiz, P., Puigdefábregas, J., Solé-Benet, A., Custodio, E., and Domingo, F.: Diffuse and concentrated recharge evaluation using physical and tracer techniques: results from a semiarid carbonate massif aquifer in southeastern Spain, Environ. Earth Sci., 62, 541–557, https://doi.org/10.1007/s12665-010-0546-y, 2011. 
Allen, R. G., Pereira, L. S., Raes, D. and Smith, M.: Crop evapotranspiration: Guidelines for computing crop requirements, FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization (FAO), Rome, Italy, 1998. 
Allen, R. G., Pruitt, W. O., Wright, J. L., Howell, T. A., Ventura, F., Snyder, R., Itenfisu, D., Steduto, P., Berengena, J., and Yrisarry, J. B.: A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method, Agric. Water Manag., 81, 1–22, https://doi.org/10.1016/j.agwat.2005.03.007, 2006. 
Arbel, Y., Greenbaum, N., Lange, J., and Inbar, M.: Infiltration processes and flow rates in developed karst vadose zone using tracers in cave drips, Earth Surf. Process. Landforms, 35, 1682–1693, https://doi.org/10.1002/esp.2010, 2010. 
Publications Copernicus
Download
Short summary
We propose the first large-scale vegetation–recharge model for karst regions (V2Karst), which enables the analysis of the impact of changes in climate and land cover on karst groundwater recharge. We demonstrate the plausibility of V2Karst simulations against observations at FLUXNET sites and of controlling modelled processes using sensitivity analysis. We perform virtual experiments to further test the model and gain insight into its sensitivity to precipitation pattern and vegetation cover.
We propose the first large-scale vegetation–recharge model for karst regions (V2Karst), which...
Citation