Popov, Christina and Knutzen, Florian and Rechid, Diana (2025) Deliverable 2.3 - Final report on methodology of land cover datasets for global and regional climate models, including publication of the data. Project Report. CNR Edizioni, Roma.
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OptFor-EU_D2.3_Final report on methodology of land cover datasets for global and regional climate models, including publication of the data.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (4MB) | Preview |
Abstract
Within OptFor-EU, forest-climate interactions are studied with different model approaches, which have different requirements on their land cover datasets. This document addresses the need for a land cover dataset with implemented forest management practices (FMPs) for regional climate models (RCMs). After the context for this deliverable in Section 1, the available datasets within this project are described in Section 2. • LANDMATE PFT dataset: A high-resolution (~ 2 km) land cover dataset suitable for RCM studies on convection-permitting scales in Europe. • LUCAS LUC dataset: A high-resolution (~ 10 km) dataset showing historical and projected land use and cover changes, including future scenarios such as SSP126, which represents strong afforestation in Europe. • EFT dataset: A detailed and consistent dataset (D1.1) representing the tree distribution across Europe at 100 m horizontal resolution. In Section 3, we describe the implementation of the FMP thinning into the LANDMATE PFT dataset for two selected Case Study Areas (CSAs,) CSA4 (Eastern Lowlands of Lower Saxony, Germany) and CSA6 (Arges and Teleorman county, Romania). We align our assumptions with the forest model experiments in D2.2 Report on new Forest Management Practices (FMP) in forest models and implications for land cover change parametrisation in climate models (Neumann et al. 2024b), and adapt them to the feasibility of regional climate model (RCM) studies. In the end, a land cover dataset with implemented FMP is created that shows a reduced tree fraction and an increased grass fraction in model grid cells. The dataset is published at 0.0275° horizontal resolution for the two selected CSAs on a rotated grid at an openly accessible Zenodo repository. For addressing a different grid or additional CSAs, the source code for creating the dataset is published as well (Pop et al. 2024). Section 4 gives an outlook on the implementation of this dataset into RCMs, which will affect land surface properties and lead to effects and feedback in the atmosphere through altered land-atmosphere exchange processes. Section 5 provides an overview of the data and code availability used for this deliverable.
| Item Type: | Monograph (Project Report) |
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| Uncontrolled Keywords: | Land Cover Datasets, Forest Management Practices (FMPs), Regional Climate Models (RCMs), Forest-Climate interactions |
| Subjects: | 500 Scienze naturali e Matematica > 550 Scienze della Terra > 551 Geologia, Idrologia, Meteorologia |
| Depositing User: | Maria Rosaria Orrico |
| Date Deposited: | 31 Mar 2025 11:40 |
| Last Modified: | 31 Mar 2025 12:32 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/23543 |
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