High-resolution land use and land cover dataset for regional climate modelling: Historical and future changes in Europe
Abstract. Anthropogenic land-use and land cover change (LULCC) is a major driver of environmental changes. The biophysical impacts of these changes on the regional climate in Europe are currently extensively investigated within the WCRP CORDEX Flagship Pilot Study (FPS) LUCAS - "Land Use and Climate Across Scales" using an ensemble of different Regional Climate Models (RCMs) coupled with diverse Land Surface Models (LSMs). In order to investigate the impact of realistic LULCC on past and future climates, high-resolution datasets with observed LULCC and projected future LULCC scenarios are required as input for the RCM-LSM simulations. To account for these needs, we generated the LUCAS LUC dataset Version 1.1 at 0.1° resolution for Europe with annual LULC maps from 1950–2100 (Hoffmann et al., 2022b, a), which is tailored towards the use in state-of-the-art RCMs. The plant functional type distribution (PFT) for the year 2015 (i.e., LANDMATE PFT dataset) is derived from the European Space Agency Climate Change Initiative Land Cover (ESA-CCI LC) dataset. Details about the conversion method, cross-walking procedure and the evaluation of the LANDMATE PFT dataset are given in the companion paper by Reinhart et al. (2022b). Subsequently, we applied the land-use change information from the Land-Use Harmonization 2 (LUH2) dataset, provided at 0.25° resolution as input for CMIP6 experiments, to derive LULC distribution at high spatial resolution and at annual timesteps from 1950 to 2100. In order to convert land use and land management change information from LUH2 into changes in the PFT distribution, we developed a Land Use Translator (LUT) specific to the needs of RCMs. The annual PFT maps for Europe for the period 1950 to 2015 are derived from the historical LUH2 dataset by applying the LUT backward from 2015 to 1950. Historical changes in the forest type changes are considered using an additional European forest species dataset. The historical changes in the PFT distribution of LUCAS LUC follow closely the land use changes given by LUH2 but differ in some regions compared to other annual LULCC datasets. From 2016 onward, annual PFT maps for future land use change scenarios based on LUH2 are derived for different Shared Socioeconomic Pathways (SSPs) and Representative Concentration Pathways (RCPs) combinations used in the framework of the Coupled Modelling Intercomparison Project Phase 6 (CMIP6). The resulting LULCC maps can be applied as land use forcing to the new generation of RCM simulations for downscaling of CMIP6 results. The newly developed LUT is transferable to other CORDEX regions world-wide.
Peter Hoffmann et al.
Status: final response (author comments only)
- RC1: 'Comment on essd-2022-431', Jason Evans, 21 Feb 2023
- RC2: 'Comment on essd-2022-431', Anonymous Referee #2, 13 Apr 2023
- AC1: 'Comment on essd-2022-431', Peter Hoffmann, 11 May 2023
Peter Hoffmann et al.
LUCAS LUC historical land use and land cover change dataset for Europe (Version 1.1) https://doi.org/10.26050/WDCC/LUC_hist_EU_v1.1
LUCAS LUC future land use and land cover change dataset for Europe (Version 1.1) https://doi.org/10.26050/WDCC/LUC_future_EU_v1.1
Peter Hoffmann et al.
Viewed (geographical distribution)
This paper describes a land cover change dataset for use with regional climate models run for any period from 1950 to 2100 over the Euro-CORDEX region. Future land cover maps are derived for each of the SSP scenarios and are based on the Land-Use Harmonization 2 (LUH2) dataset. This dataset is an important enabler of downscaled climate projections using the SSP scenarios such as those under the CORDEX-CMIP6 project.
The article is appropriate to support the dataset. It presents the methodology in sufficient detail to enable replication and evaluates the dataset against multiple products and includes an estimate of the uncertainty.
The dataset was easily accessible and downloadable after a registration step. It comes as netCDF format files making it very easy to use with the appropriate metadata embedded in the files.
Overall the dataset is unique, useful and complete for the Euro-CORDEX region. It would be great to see this same methodology be applied to produce similar datasets for all CORDEX regions globally at some point in the future.
The paper is well written and worthy of publication. I have only technical corrections that should be addressed before publication below.
ln 72: delete extra “keeping”
ln 399: “lager” should be “larger”
ln 546: delete the first “based”
ln 609:”emphasize” should be “emphasizes”
ln 621: “giving” should be “given”
ln 619: “changes” should be “change”
ln637: “documentation” should be “document”
ln 556:”currently validated” should be “currently being validated”