Vanessa Reinhart
University of Hamburg
5 Papers
2 Citations
Vanessa Reinhart is an academic researcher from University of Hamburg. The author has contributed to research in topics: Climate model & Climate change. The author has an hindex of 1, co-authored 3 publications.
Chat about Author
Papers
Comparison of ESA climate change initiative land cover to CORINE land cover over Eastern Europe and the Baltic States from a regional climate modeling perspective
TL;DR: The ESA CCI LC dataset is compared to the COoRdination and INformation on the Environment (CORINE) Land Cover (CLC) and agreement between the datasets is assessed by proportional area comparison (PAC).
60
High-resolution land use and land cover dataset for regional climate modelling: a plant functional type map for Europe 2015
TL;DR: The LandMATE PFT dataset for Europe (landmate PFT Version 1.0) as discussed by the authors is based on the high-resolution European Space Agency Climate Change Initiative (ESA-CCI) land cover dataset and is further improved through the additional use of climate information.
High-resolution land use and land cover dataset for regional climate modelling: Historical and future changes in Europe
Peter Hoffmann,Vanessa Reinhart,Diana Rechid,Nathalie de Noblet-Ducoudré,Edouard,Laurent Davin,Christina Asmus,Benjamin Bechtel,Jürgen Böhner,Eleni Katragkou,Sebastiaan Luyssaert +10 more
TL;DR: In this paper , an ensemble of different Regional Climate Models (RCMs) coupled with diverse Land Surface Models (LSMs) is used to investigate the impact of realistic LULCC on past and future climates.
11
High-resolution land-use land-cover change data for regional climate modelling applications over Europe – Part 2: Historical and future changes
Peter Hoffmann,Vanessa Reinhart,Diana Rechid,Nathalie de Noblet-Ducoudré,Edouard Davin,Edouard Davin,Christina Asmus,Benjamin Bechtel,Jürgen Böhner,Eleni Katragkou,Sebastiaan Luyssaert +10 more
TL;DR: In this article, the authors developed a Land Use Translator (LUT) specific to the needs of regional climate models and 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 realistic LULC distribution at high spatial resolution and at annual timesteps from 1950 to 2100.
High resolution climate change simulations over ten CORDEX-CORE Domains using the regional climate model REMO
Armelle Reca Remedio,Claas Teichmann,Lars Buntemeyer,Kevin Sieck,Torsten Weber,Diana Rechid,Peter Hoffmann,Vanessa Reinhart,Lola Kotova,Daniela Jacob +9 more
- 01 Apr 2019
TL;DR: In this article, the WCRP Initiative on CORDEX designed a framework to perform an ensemble of regional climate models covering major land-masses of the globe at a high spatial resolution of 25 km.
1