Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 16, issue 24
Articles | Volume 16, issue 24
https://doi.org/10.5194/gmd-16-7311-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-7311-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 24
Development and technical paper
 | 
19 Dec 2023
Development and technical paper |  | 19 Dec 2023

Modeling and evaluating the effects of irrigation on land–atmosphere interaction in southwestern Europe with the regional climate model REMO2020–iMOVE using a newly developed parameterization

Christina Asmus, Peter Hoffmann, Joni-Pekka Pietikäinen, Jürgen Böhner, and Diana Rechid

Data sets

Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization Christina Asmus https://doi.org/10.5281/zenodo.7867328

Climate indicators for Italy: calculation and dissemination (http://193.206.192.214/servertsutm/serietemporali400.php) F. Desiato, G. Fioravanti, P. Fraschetti, W. Perconti, and A. Toreti https://doi.org/10.5194/asr-6-147-2011

Model code and software

Modeling and evaluating the effects of irrigation on land-atmosphere interaction in southwestern Europe with the regional climate model REMO2020-iMOVE using a newly developed parameterization Christina Asmus and Lars Buntemeyer https://doi.org/10.5281/zenodo.7889384

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Short summary
Irrigation modifies the land surface and soil conditions. The effects can be quantified using numerical climate models. Our study introduces a new irrigation parameterization, which simulates the effects of irrigation on land, atmosphere, and vegetation. We applied the parameterization and evaluated the results in terms of their physical consistency. We found an improvement in the model results in the 2 m temperature representation in comparison with observational data for our study.
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