Articles | Volume 7, issue 5
https://doi.org/10.5194/gmd-7-2121-2014
https://doi.org/10.5194/gmd-7-2121-2014
Development and technical paper
 | 
23 Sep 2014
Development and technical paper |  | 23 Sep 2014

Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia

J. Kala, J. P. Evans, A. J. Pitman, C. B. Schaaf, M. Decker, C. Carouge, D. Mocko, and Q. Sun

Related authors

Implementation of an optimal stomatal conductance scheme in the Australian Community Climate Earth Systems Simulator (ACCESS1.3b)
J. Kala, M. G. De Kauwe, A. J. Pitman, R. Lorenz, B. E. Medlyn, Y.-P Wang, Y.-S Lin, and G. Abramowitz
Geosci. Model Dev., 8, 3877–3889, https://doi.org/10.5194/gmd-8-3877-2015,https://doi.org/10.5194/gmd-8-3877-2015, 2015
Short summary

Related subject area

Climate and Earth system modeling
FLAME 1.0: a novel approach for modelling burned area in the Brazilian biomes using the maximum entropy concept
Maria Lucia Ferreira Barbosa, Douglas I. Kelley, Chantelle A. Burton, Igor J. M. Ferreira, Renata Moura da Veiga, Anna Bradley, Paulo Guilherme Molin, and Liana O. Anderson
Geosci. Model Dev., 18, 3533–3557, https://doi.org/10.5194/gmd-18-3533-2025,https://doi.org/10.5194/gmd-18-3533-2025, 2025
Short summary
SURFER v3.0: a fast model with ice sheet tipping points and carbon cycle feedbacks for short- and long-term climate scenarios
Victor Couplet, Marina Martínez Montero, and Michel Crucifix
Geosci. Model Dev., 18, 3081–3129, https://doi.org/10.5194/gmd-18-3081-2025,https://doi.org/10.5194/gmd-18-3081-2025, 2025
Short summary
NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP
Yong-He Liu and Zong-Liang Yang
Geosci. Model Dev., 18, 3157–3174, https://doi.org/10.5194/gmd-18-3157-2025,https://doi.org/10.5194/gmd-18-3157-2025, 2025
Short summary
A method for quantifying uncertainty in spatially interpolated meteorological data with application to daily maximum air temperature
Conor T. Doherty, Weile Wang, Hirofumi Hashimoto, and Ian G. Brosnan
Geosci. Model Dev., 18, 3003–3016, https://doi.org/10.5194/gmd-18-3003-2025,https://doi.org/10.5194/gmd-18-3003-2025, 2025
Short summary
Baseline Climate Variables for Earth System Modelling
Martin Juckes, Karl E. Taylor, Fabrizio Antonio, David Brayshaw, Carlo Buontempo, Jian Cao, Paul J. Durack, Michio Kawamiya, Hyungjun Kim, Tomas Lovato, Chloe Mackallah, Matthew Mizielinski, Alessandra Nuzzo, Martina Stockhause, Daniele Visioni, Jeremy Walton, Briony Turner, Eleanor O'Rourke, and Beth Dingley
Geosci. Model Dev., 18, 2639–2663, https://doi.org/10.5194/gmd-18-2639-2025,https://doi.org/10.5194/gmd-18-2639-2025, 2025
Short summary

Cited articles

Abramowitz, G., Leuning, R., Clark, M., and Pitman, A.: Evaluating the Performance of Land Surface Models, J. Climate, 21, 5468–5481, 2008.
Avila, F. B., Pitman, A. J., Donat, M. G., Alexander, L. V., and Abramowitz, G.: Climate model simulated changes in temperature extremes due to land cover change, J. Geophys. Res., 117, D04108, https://doi.org/10.1029/2011JD016382, 2012.
Bonan, G.: Ecological climatology, Cambridge University Press, 2nd Edn., 2008.
Cruz, F. T., Pitman, A. J., and Wang, Y.-P.: Can the stomatal response to higher atmospheric carbon dioxide explain the unusual temperatures during the 2002 Murray-Darling Basin drought?, J. Geophys. Res., 115, D02101, https://doi.org/10.1029/2009JD012767, 2010.
Davidson, A. and Wang, S.: The effects of sampling resolution on the surface albedos of dominant land cover types in the North American boreal region, Remote Sens. Environ., 93, 211–224, 2004.
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Share