Articles | Volume 15, issue 22
https://doi.org/10.5194/gmd-15-8453-2022
https://doi.org/10.5194/gmd-15-8453-2022
Model description paper
 | 
21 Nov 2022
Model description paper |  | 21 Nov 2022

Implementation of a new crop phenology and irrigation scheme in the ISBA land surface model using SURFEX_v8.1

Arsène Druel, Simon Munier, Anthony Mucia, Clément Albergel, and Jean-Christophe Calvet

Related authors

Enhancing environmental models with a new downscaling method for global radiation in complex terrain
Arsène Druel, Julien Ruffault, Hendrik Davi, André Chanzy, Olivier Marloie, Miquel De Cáceres, Albert Olioso, Florent Mouillot, Christophe François, Kamel Soudani, and Nicolas K. Martin-StPaul
Biogeosciences, 22, 1–18, https://doi.org/10.5194/bg-22-1-2025,https://doi.org/10.5194/bg-22-1-2025, 2025
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, Garry Hayman, Maria Val Martin, Mathieu Guimberteau, Arsène Druel, Dan Zhu, and Philippe Ciais
Biogeosciences, 17, 1821–1844, https://doi.org/10.5194/bg-17-1821-2020,https://doi.org/10.5194/bg-17-1821-2020, 2020
Short summary
Towards a more detailed representation of high-latitude vegetation in the global land surface model ORCHIDEE (ORC-HL-VEGv1.0)
Arsène Druel, Philippe Peylin, Gerhard Krinner, Philippe Ciais, Nicolas Viovy, Anna Peregon, Vladislav Bastrikov, Natalya Kosykh, and Nina Mironycheva-Tokareva
Geosci. Model Dev., 10, 4693–4722, https://doi.org/10.5194/gmd-10-4693-2017,https://doi.org/10.5194/gmd-10-4693-2017, 2017
Short summary
Improving the dynamics of Northern Hemisphere high-latitude vegetation in the ORCHIDEE ecosystem model
D. Zhu, S. S. Peng, P. Ciais, N. Viovy, A. Druel, M. Kageyama, G. Krinner, P. Peylin, C. Ottlé, S. L. Piao, B. Poulter, D. Schepaschenko, and A. Shvidenko
Geosci. Model Dev., 8, 2263–2283, https://doi.org/10.5194/gmd-8-2263-2015,https://doi.org/10.5194/gmd-8-2263-2015, 2015
Short summary

Related subject area

Biogeosciences
FESOM2.1-REcoM3-MEDUSA2: an ocean–sea ice–biogeochemistry model coupled to a sediment model
Ying Ye, Guy Munhoven, Peter Köhler, Martin Butzin, Judith Hauck, Özgür Gürses, and Christoph Völker
Geosci. Model Dev., 18, 977–1000, https://doi.org/10.5194/gmd-18-977-2025,https://doi.org/10.5194/gmd-18-977-2025, 2025
Short summary
Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)
Juliette Bernard, Elodie Salmon, Marielle Saunois, Shushi Peng, Penélope Serrano-Ortiz, Antoine Berchet, Palingamoorthy Gnanamoorthy, Joachim Jansen, and Philippe Ciais
Geosci. Model Dev., 18, 863–883, https://doi.org/10.5194/gmd-18-863-2025,https://doi.org/10.5194/gmd-18-863-2025, 2025
Short summary
Systematic underestimation of type-specific ecosystem process variability in the Community Land Model v5 over Europe
Christian Poppe Terán, Bibi S. Naz, Harry Vereecken, Roland Baatz, Rosie A. Fisher, and Harrie-Jan Hendricks Franssen
Geosci. Model Dev., 18, 287–317, https://doi.org/10.5194/gmd-18-287-2025,https://doi.org/10.5194/gmd-18-287-2025, 2025
Short summary
Soil nitrous oxide emissions from global land ecosystems and their drivers within the LPJ-GUESS model (v4.1)
Jianyong Ma, Almut Arneth, Benjamin Smith, Peter Anthoni, Xu-Ri, Peter Eliasson, David Wårlind, Martin Wittenbrink, and Stefan Olin
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-223,https://doi.org/10.5194/gmd-2024-223, 2024
Revised manuscript accepted for GMD
Short summary
Lambda-PFLOTRAN 1.0: a workflow for incorporating organic matter chemistry informed by ultra high resolution mass spectrometry into biogeochemical modeling
Katherine A. Muller, Peishi Jiang, Glenn Hammond, Tasneem Ahmadullah, Hyun-Seob Song, Ravi Kukkadapu, Nicholas Ward, Madison Bowe, Rosalie K. Chu, Qian Zhao, Vanessa A. Garayburu-Caruso, Alan Roebuck, and Xingyuan Chen
Geosci. Model Dev., 17, 8955–8968, https://doi.org/10.5194/gmd-17-8955-2024,https://doi.org/10.5194/gmd-17-8955-2024, 2024
Short summary

Cited articles

Adegoke, J. O., Pielke, R. A., Eastman, J., Mahmood, R., and Hubbard, K. G.: Impact of Irrigation on Midsummer Surface Fluxes and Temperature under Dry Synoptic Conditions: A Regional Atmospheric Model Study of the U.S. High Plains, Mon. Weather Rev., 131, 556–564, https://doi.org/10.1175/1520-0493(2003)131<0556:IOIOMS>2.0.CO;2, 2003. 
Albergel, C., Dutra, E., Bonan, B., Zheng, Y., Munier, S., Balsamo, G., de Rosnay, P., Munoz-Sabater, J., and Calvet, J.-C.: Monitoring and forecasting the impact of the 2018 summer heatwave on vegetation, Remote Sens., 11, 520, https://doi.org/10.3390/rs11050520, 2019. 
Al-Yaari, A., Ducharne, A., Tafasca, S., Mizuochi, H., and Cheruy, F.: Influence of irrigation on the bias between ORCHIDEE and FLUXCOM evapotranspiration products, 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 6552–6555, https://doi.org/10.1109/IGARSS47720.2021.9554734, 2021. 
AQUASTAT and FAO: Country Fact Sheet, United States of America, http://www.fao.org/nr/water/aquastat/data/cf/readPdf.html?f=USA-CF_eng.pdf (last access: 15 November 2022), 2019. 
Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makhmara, H., Pacholcyzk, P., and Smets, B.: GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production, Remote Sens. Environ., 137, 299–309, https://doi.org/10.1016/j.rse.2012.12.027, 2013. 
Download
Short summary
Crop phenology and irrigation is implemented into a land surface model able to work at a global scale. A case study is presented over Nebraska (USA). Simulations with and without the new scheme are compared to different satellite-based observations. The model is able to produce a realistic yearly irrigation water amount. The irrigation scheme improves the simulated leaf area index, gross primary productivity, evapotransipiration, and land surface temperature.
Share