research product . 2018

The effect of GCM biases on global runoff simulations of a land surface model

Papadimitriou, Lamprini V.; Koutroulis, Aristeidis G.; Grillakis, Manolis G.; Tsanis, Ioannis K.;
Open Access English
  • Published: 27 Sep 2018
Abstract
Global climate model (GCM) outputs feature systematic biases that render them unsuitable for direct use by impact models, especially for hydrological studies. To deal with this issue, many bias correction techniques have been developed to adjust the modelled variables against observations, focusing mainly on precipitation and temperature. However, most state-of-the-art hydrological models require more forcing variables, in addition to precipitation and temperature, such as radiation, humidity, air pressure, and wind speed. The biases in these additional variables can hinder hydrological simulations, but the effect of the bias of each variable is unexplored. Here...
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Funded by
EC| ECLISE
Project
ECLISE
Enabling CLimate Information Services for Europe - ECLISE
  • Funder: European Commission (EC)
  • Project Code: 265240
  • Funding stream: FP7 | SP1 | ENV
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EC| HELIX
Project
HELIX
High-End cLimate Impacts and eXtremes
  • Funder: European Commission (EC)
  • Project Code: 603864
  • Funding stream: FP7 | SP1 | ENV
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