CLICCS will explore climate change with broad expertise. CLICCS will investigate how the climate changes and how society changes with it, thereby feeding back on climate. Understanding these changes, including
The project “Updating the data basis for adaptation to climate change in Germany” (UDAG) provides high-resolution regional climate projections generated with the ICON-CLM regional climate model as part
These supplementary data complement the RCM projections published via ESGF by the CLM community as part of CORDEX-CMIP6. Global climate models (GCMs) provide the basis for climate projections under different
https://optforeu.eu/ OptFor-EU aims to work with forest managers and other forestry stakeholders to develop a decision support system (DSS) that provides them with suitable climate adaptation and mitigation
RiskClima is a research project focused on developing georeferenced climate risk products for Brazil, with the objective of identifying and classifying areas most vulnerable to climate extremes. The project
From the last interglacial to the anthropocene - modeling a complete glacial cycle. The PalMod project (https://www.palmod.de/) aims for a better understanding of the spectrum of climate variability from
FRESH-CARE (Unraveling FRESHwater and ocean Currents changes in the Arctic using REmote sensing) is an ERC-funded project that aims to improve our understanding of Arctic freshwater dynamics and ocean
DAM_PrimePrevention (DAM PrimePrevention - Prediction of marine biological hazards to prevent socio-economic impacts; project: Monitoring, modelling and assessment of extreme weather events on marine biological hazards in the western Baltic Sea)
Due to the expected increase in extreme events, the risk of marine biological hazards in German coastal waters will rise. The focus of the project PrimePrevention (https://www.marextreme.de/primeprevention,
Unseen-awg is a method for generating long, multivariate, and spatiotemporal weather data representative of present-day climate by resampling historical weather datasets. It assures temporal consistency
The primary goal of DCENT_MLE is to combine instrumental observations with physically realistic statistical models to produce maximum likelihood estimates of surface temperature anomalies and other physical
The primary goal of HadCRU_MLE is to combine instrumental observations with physically realistic statistical models to produce maximum likelihood estimates of surface temperature anomalies and other physical
In order to better understand the global coastal systems and the dangers and risks associated with them, it is important to examine the atmosphere, the land, hydrology, the ocean and especially their interactions
This project, running from January 2023 to December 2026, will reveal and quantify the role of ocean mesoscale processes in shaping the climate trajectory over seasonal to centennial time scales. To this