Multimodel estimate of the global terrestrial water balance: setup and first resultsHaddeland, I., Clark, D. B., Franssen, W., Ludwig, F., Voß, F., Arnell, N. W. ORCID: https://orcid.org/0000-0003-2691-4436, Bertrand, N., Best, M., Folwell, S., Kabat, P., Koirala, S., Oki, T., Polcher, J., Stacke, T., Viterbo, P., Weedon, G. P., Yehm, P., Gerten, D., Gomes, S., Gosling, S. N. , Hagemann, S., Hanasaki, N., Harding, R. and Heinke, J. (2011) Multimodel estimate of the global terrestrial water balance: setup and first results. Journal of Hydrometeorology, 12 (5). pp. 869-884. ISSN 1525-7541
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1175/2011JHM1324.1 Abstract/SummarySix land surface models and five global hydrological models participate in a model intercomparison project (WaterMIP), which for the first time compares simulation results of these different classes of models in a consistent way. In this paper the simulation setup is described and aspects of the multi-model global terrestrial water balance are presented. All models were run at 0.5 degree spatial resolution for the global land areas for a 15-year period (1985-1999) using a newly-developed global meteorological dataset. Simulated global terrestrial evapotranspiration, excluding Greenland and Antarctica, ranges from 415 to 586 mm year-1 (60,000 to 85,000 km3 year-1) and simulated runoff ranges from 290 to 457 mm year-1 (42,000 to 66,000 km3 year-1). Both the mean and median runoff fractions for the land surface models are lower than those of the global hydrological models, although the range is wider. Significant simulation differences between land surface and global hydrological models are found to be caused by the snow scheme employed. The physically-based energy balance approach used by land surface models generally results in lower snow water equivalent values than the conceptual degree-day approach used by global hydrological models. Some differences in simulated runoff and evapotranspiration are explained by model parameterizations, although the processes included and parameterizations used are not distinct to either land surface models or global hydrological models. The results show that differences between model are major sources of uncertainty. Climate change impact studies thus need to use not only multiple climate models, but also some other measure of uncertainty, (e.g. multiple impact models).
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