Evaluation simulation with REMO2020-2-iMOVE performed on the EURO-CORDEX domain at 0.11 degree resolution, using ERA5.1 reanalysis data as lateral boundary conditions for the years 1981-2020, using static land use land cover from the LUCAS LUC dataset Version 1.1. for the year 2015 (https://doi.org/10.26050/WDCC/LUC_hist_EU_v1.1).
REMO-iMOVE includes interactive Mosaic based VEgetation and plant functional types (PFTs) and is able to simulate interactions between vegetation, soil and atmosphere. The simulation was performed in the scope of the Horizon Europe project OptFor-EU (OPTimising FORest management decisions for a low-carbon, climate resilient future in Europe). The REMO-iMOVE simulation follow strictly the experiment protocol of the international CORDEX Flagship Pilot Study LUCAS and EURO-CORDEX. For the simulation we used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID bg1370.
Within OptFor-EU, the simulation data is used to evaluate the performance of REMO202-2-iMOVE under past climate conditions with a static land use land cover of 2015 for Europe and serves as a reference for the experiment "REMO2020-2-iMOVE-LUC evaluation simulation driven by ERA5.1 reanalyses and with annual land use land cover change 1981-2020". Within OptFor-EU the data also feeds the development of the OptFor-EU Decision Support Systems (DSS) assisting decision-making on Forest Management Options in different case studies within Europe.
A set of climate indicators as part of the new set of Essential Forest Mitigation Indicators (EFMIs) have been processed for Europe and all OptFor-EU CSAs. EFMIs were identified and developed within OptFor-EU by Linser et al. (2025) to characterize forest ecosystem services, including regional climate regulation, while directly addressing the specific needs of OptFor-EU end-users: https://optforeu.eu/wp-content/uploads/2025/04/OptFor-EU_D1.2_-EFMIs-_v02_20250314_BOKU.pdf
Rechid, Diana; Pop, Christina; Pfeifer, Susanne; Pietikäinen, Joni Pekka; Buntemeyer, Lars; Farhan, Saleem (2026). REMO2020-2-iMOVE Evaluation Simulation driven by ERA5.1 reanalyses and with static land use land cover 2015 from LUCAS LUC dataset. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/REMOI
SQA - Scientific Quality Assurance 'approved by author'
Result Date
2026-09-25
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
[1] DOIWilhelm, C.; Rechid, D.; Jacob, D. (2014). Interactive coupling of regional atmosphere with biosphere in the new generation regional climate system model REMO-iMOVE. doi:10.5194/gmd-7-1093-2014
[1] DOIHoffmann, Peter; Reinhart, Vanessa; Rechid, Diana. (2022). LUCAS LUC future land use and land cover change dataset for Europe (Version 1.1). doi:10.26050/WDCC/LUC_future_EU_v1.1
[2] DOIHoffmann, Peter; Reinhart, Vanessa; Rechid, Diana. (2022). LUCAS LUC historical land use and land cover change dataset for Europe (Version 1.1). doi:10.26050/WDCC/LUC_hist_EU_v1.1
[3] DOIHoffmann, Peter; Asselin, Olivier; Reinhart, Vanessa; Rechid, Diana. (2024). LUCAS LUC future land use and land cover change dataset for North America (Version 1.1). doi:10.26050/WDCC/LUC_future_NA_v1.1
[4] DOISimmons, A.; Soci, C.; Nicolas, J.; Bell, B.; Berrisford, P.; Dragani, R.; Flemming, J.; Haimberger, L.; Healy, S.; Hersbach, H.; Horányi, A.; Inness, A.; Munoz-Sabater, J.; Radu, R.; Schepers, D. (2020). ERA5.1: Rerun of the Fifth generation of ECMWF atmospheric reanalyses of the global climate (2000-2006 only). doi:10.24381/cds.143582cf