Article

Articles | Volume 22, issue 4

Articles | Volume 22, issue 4

https://doi.org/10.5194/hess-22-2091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Integration of Earth observations and models for global water...

https://doi.org/10.5194/hess-22-2091-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 4

Research article

|

04 Apr 2018

Research article |

| 04 Apr 2018

Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model

Emiliano Gelati, Bertrand Decharme, Jean-Christophe Calvet, Marie Minvielle, Jan Polcher, David Fairbairn, and Graham P. Weedon

Supplement

https://doi.org/10.5194/hess-22-2091-2018-supplement

Data sets

ECOCLIMAP dataset CNRM https://opensource.umr-cnrm.fr/projects/ecoclimap

SURFEX model code CNRM http://www.umr-cnrm.fr/surfex/

E-OBS dataset ECAD https://www.ecad.eu/download/ensembles/download.php

Global reanalyses ECMWF http://apps.ecmwf.int/datasets/

ESA-CCI Soil Moisture dataset ESA http://www.esa-soilmoisture-cci.org/

WFDEI dataset IIASA ftp://rfdata:forceDATA@ftp.iiasa.ac.at

CERES dataset NASA https://ceres.larc.nasa.gov/products.php?product=EBAF-Surface

SRB dataset NASA https://eosweb.larc.nasa.gov/project/srb/srb_table

GIMMS dataset NASA https://ecocast.arc.nasa.gov/data/pub/gimms/

PGF dataset Princeton University http://hydrology.princeton.edu/data/pgf/

earth2observe/water-resource-reanalysis-v1: Revised Release (Version 1.02), Data set, Zenodo Schellekens et al. https://doi.org/10.5281/zenodo.167070

CRU dataset UEA https://crudata.uea.ac.uk/cru/data/hrg/

Short summary

We compared land surface model simulations forced by several meteorological datasets with observations over the Euro-Mediterranean area, for the 1979–2012 period. Precipitation was the most uncertain forcing variable. The impacts of forcing uncertainty were larger on the mean and standard deviation rather than the timing, shape and inter-annual variability of simulated discharge. Simulated leaf area index and surface soil moisture were relatively insensitive to these uncertainties.

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