Articles | Volume 15, issue 8
https://doi.org/10.5194/essd-15-3819-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-3819-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution land use and land cover dataset for regional climate modelling: historical and future changes in Europe
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon,
Fischertwiete 1, 20095 Hamburg, Germany
Section Physical Geography, Institute of Geography, Universität Hamburg,
Bundesstraße 55, 20146 Hamburg, Germany
Vanessa Reinhart
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon,
Fischertwiete 1, 20095 Hamburg, Germany
Section Physical Geography, Institute of Geography, Universität Hamburg,
Bundesstraße 55, 20146 Hamburg, Germany
Diana Rechid
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon,
Fischertwiete 1, 20095 Hamburg, Germany
Nathalie de Noblet-Ducoudré
Laboratoire des Sciences du Climat et de l'Environment, IPSL, Paris, France
Edouard L. Davin
Wyss Academy for Nature, University of Bern, Bern, Switzerland
Climate and Environmental Physics, Physics Institute, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Christina Asmus
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon,
Fischertwiete 1, 20095 Hamburg, Germany
Section Physical Geography, Institute of Geography, Universität Hamburg,
Bundesstraße 55, 20146 Hamburg, Germany
Benjamin Bechtel
Institute of Geography, Ruhr University Bochum, Universitätsstraße 150, 44801 Bochum, Germany
Jürgen Böhner
Institute of Geography, Section Physical Geography, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
Eleni Katragkou
Department of Meteorology and Climatology, School of Geology, Aristotle University of Thessaloniki, Thessaloniki,
Greece
Sebastiaan Luyssaert
Amsterdam Institute for Life and Environment, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, the Netherlands
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7 citations as recorded by crossref.
- 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 C. Asmus et al. 10.5194/gmd-16-7311-2023
- Research Progress in Spatiotemporal Dynamic Simulation of LUCC W. Wan et al. 10.3390/su16188135
- Scrutinizing the Statistical Distribution of a Composite Index of Soil Degradation as a Measure of Early Desertification Risk in Advanced Economies V. Imbrenda et al. 10.3390/environments11110246
- Projected changes in forest fire season, the number of fires, and burnt area in Fennoscandia by 2100 O. Kinnunen et al. 10.5194/bg-21-4739-2024
- Blue in green: forestation turns blue water green, mitigating heat at the expense of water availability O. Asselin et al. 10.1088/1748-9326/ad796c
- The effect of forest cover changes on the regional climate conditions in Europe during the period 1986–2015 M. Breil et al. 10.5194/bg-21-811-2024
- Past, present and future of land use and soil physicochemical properties in the Province of Salamanca (Spain) M. Francos et al. 10.1016/j.catena.2024.108416
2 citations as recorded by crossref.
- Impact of Surface Roughness Changes on Surface Wind Speed Over Western Europe: A Study With the Regional Climate Model RACMO L. Luu et al. 10.1029/2022JD038426
- The potential of an increased deciduous forest fraction to mitigate the effects of heat extremes in Europe M. Breil et al. 10.5194/bg-20-2237-2023
Latest update: 20 Nov 2024
Short summary
This paper introduces the new high-resolution land use and land cover change dataset LUCAS LUC for Europe (version 1.1), tailored for use in regional climate models. Historical and projected future land use change information from the Land-Use Harmonization 2 (LUH2) dataset is translated into annual plant functional type changes from 1950 to 2015 and 2016 to 2100, respectively, by employing a newly developed land use translator.
This paper introduces the new high-resolution land use and land cover change dataset LUCAS LUC...
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