A global water resources ensemble of hydrological models: the
eartH2Observe Tier-1 dataset
Jaap Schellekens1, Emanuel Dutra2, Alberto Martínez-de la Torre3, Gianpaolo Balsamo2, Albert van Dijk4, Frederiek Sperna Weiland1, Marie Minvielle5, Jean-Christophe Calvet5, Bertrand Decharme5, Stephanie Eisner6, Gabriel Fink6, Martina Flörke6, Stefanie Peßenteiner7, Rens van Beek8, Jan Polcher8, Hylke Beck9, René Orth10, Ben Calton11, Sophia Burke12, Wouter Dorigo13, and Graham P. Weedon141Deltares, Rotterdamseweg 185, 2629 HD Delft, the Netherlands, 2European Centre for Medium-Range Weather Forecasts, Shinfield Park, Reading RG2 9AX, United Kingdom 3Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK 4Fenner School of Environment and Society, Australian National University, Canberra, ACT 0200, Australia 5CNRM/GAME, Météo-France, CNRS, UMR 3589, 42 avenue Coriolis, 31057 Toulouse Cedex 1, France 6Center for Environmental Systems Research (CESR), University of Kassel, Wilhelmshöher Allee 47, 34117 Kassel, Germany 7Department of Physical Geography, Utrecht University, Heidelberglaan 2, 3584 CS Utrecht, the Netherlands 8Laboratoire de Météorologie Dynamique (LMD, CNRS), Ecole Polytechnique, 91128 Palaiseau, France 9European Commission, Institute for Environment and Sustainability, Joint Research Centre, Ispra, VA, Italy 10Institute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, CH-8092 Zurich, Switzerland 11PML Applications Ltd, Prospect Place, The Hoe, Plymouth, United Kingdom 12AmbioTEK Community Interest Company, Essex, UK 13Department of Geodesy and Geoinformation, Vienna University of Technology, Vienna, Austria 14Met Office, Joint Centre for Hydrometeorological Research, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10 8BB, UK
Received: 08 Nov 2016 – Accepted for review: 04 Dec 2016 – Discussion started: 06 Dec 2016
Abstract. The dataset presented here consists of an ensemble of ten global hydrological and land surface models for the period 1979–2012 using a reanalysis-based meteorological forcing dataset (0.5° resolution). The current dataset serves as a state-of-the-art in current global hydrological modelling and as a benchmark for further improvements in the coming years. A signal-to-noise ratio analysis revealed low inter-model agreement over (i) snow-dominate regions and (ii) tropical rainforest and monsoon areas. The large uncertainty of precipitation in the tropics is not being reflected in the ensemble runoff. Verification of the results against benchmark datasets for evapotranspiration, snow cover, snow water equivalent, soil moisture anomaly and total water storage anomaly using the tools from The International Land Model Benchmarking Project (ILAMB) showed overall useful model performance, while the ensemble mean generally outperformed the single model estimates. The results also show that there is currently no single best model for all variables and that model performance is spatially variable. In our unconstrained model runs the ensemble mean of total runoff into the ocean was 46 268 km3/yr (334 kg/m2/yr) while the ensemble mean of total evaporation was 537 kg/m2/yr. All data are made available openly through a Water Cycle Integrator portal (WCI, wci.earth2observe.eu), and via a direct http and ftp download. The portal follows the protocols of the open geospatial consortium such as OPeNDAP, WCS and WMS. The doi for the data is: doi:10.5281/zenodo.167070
Schellekens, J., Dutra, E., Martínez-de la Torre, A., Balsamo, G., van Dijk, A., Sperna Weiland, F., Minvielle, M., Calvet, J.-C., Decharme, B., Eisner, S., Fink, G., Flörke, M., Peßenteiner, S., van Beek, R., Polcher, J., Beck, H., Orth, R., Calton, B., Burke, S., Dorigo, W., and Weedon, G. P.: A global water resources ensemble of hydrological models: the
eartH2Observe Tier-1 dataset, Earth Syst. Sci. Data Discuss., doi:10.5194/essd-2016-55, in review, 2016.
Jaap Schellekens et al.
Jaap Schellekens et al.
A global water resources ensemble of hydrological models: the eartH2Observe Tier-1 dataset
J. Schellekens, E. Dutra, G. Balsamo, A. van Dijk, F. Sperna Weiland, M. Minvielle, C. Calvet, B. Decharme, S. Eisner, G. Fink, M. Flörke, S. Peßenteiner, R. van Beek, J. Polcher, H. Beck, A. Martínez-de la Torre, R. Orth, B. Calton, S. Burke, W. D. Wouter and G. P. Weedon