10 Aug 2021

10 Aug 2021

Review status: this preprint is currently under review for the journal ESSD.

High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 1: The plant functional type basemap for 2015

Vanessa Reinhart1,2, Peter Hoffmann1,2, Diana Rechid1, Jürgen Böhner3, and Benjamin Bechtel4 Vanessa Reinhart et al.
  • 1Helmholtz-Zentrum Hereon, Climate Service Center Germany (GERICS), Fischertwiete 1, 20095 Hamburg, Germany
  • 2Universität Hamburg, Institut of Geography, Section Physical Geography, Bundesstraße 55, 20146 Hamburg, Germany
  • 3Universität Hamburg, Institute of Geography, Cluster of Excellence “Climate, Climatic Change, and Society” (CLICCS), 805A Geomatikum, Bundesstraße 55, D-20146, Hamburg, Germany
  • 4Ruhr-Universität Bochum, Department of Geography, Universitätsstraße 150/ Gebäude IA, 44801 Bochum, Germany

Abstract. The concept of plant functional types (PFTs) is shown to be beneficial in representing the complexity of plant characteristics in land use and climate change studies using regional climate models (RCMs). By representing land use and land cover (LULC) as functional traits, responses and effects of specific plant communities can be directly coupled to the lowest atmospheric layers. To meet the requirements of RCMs for realistic LULC distribution, we developed a PFT dataset forEurope (LANDMATE PFT Version 1.0 Reinhart et al., 2021b, ;). The dataset is based on the high-resolution ESA-CCI land cover dataset and is further improved through the the additional use of climate information. Within the LANDMATE PFT dataset, satellite-based LULC information and climate data are combined to achieve the best possible representation of the diverse plant communities and their functions in the respective regional ecosystems while keeping the dataset most flexible for application in RCMs. Each LULC class of ESA-CCI is translated into PFT or PFT fractions including climate information by using the Holdridge Life Zone concept. Through the consideration of regional climate data, the resulting PFT map for Europe is regionally customized. A thorough evaluation of the LANDMATE PFT dataset is done using a comprehensive ground truth database over the European Continent. A suitable evaluation method has been developed and applied to assess the quality of thenew PFT dataset. The assessment shows that the dominant LULC groups, cropland and woodland, are well represented within the dataset while uncertainties are found for some less represented LULC groups. The LANDMATE PFT dataset provides a realistic, high-resolution LULC distribution for implementation in RCMs and is used as basis for the LUCAS LUC dataset introduced in the companion paper by Hoffmann et al. (submitted) which is available for use as LULC change input for RCM experiment setups focused on investigating LULC change impact.

Vanessa Reinhart et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • EC1: 'Review link for essd-2021-251', David Carlson, 10 Aug 2021
  • RC1: 'Comment on essd-2021-251', Anonymous Referee #1, 16 Sep 2021
  • RC2: 'Comment on essd-2021-251', Arthur Endsley, 17 Sep 2021

Vanessa Reinhart et al.

Data sets

LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0) Vanessa Reinhart, Peter Hoffmann, Diana Rechid

Vanessa Reinhart et al.


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Short summary
The LANDMATE PFT land cover dataset for Europe 2015 (Version 1.0) is a gridded, high-resolution dataset for the use in regional climate models. LANDMATE PFT is prepared using the expertise of regional climate modellers all over Europe and is easily adjustable to fit into different climate model families. We provide comprehensive spatial quality information for LANDMATE PFT, which can be used to reduce uncertainty in regional climate model simulations.