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 how slow feedbacks in the Earth system
The CLM-community provides a quality-checked ensemble of regional climate projections for Europe (EUR-12: at approx. 12 km) and for Mid Europe (MEU-3: at approx. 3 km). The regional climate model ICON-CLM
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
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
OUTLAST (Development of an operational, multisectoral, global drought hazard prediction system: Bias correction of operational global seasonal predictions)
The overall objective of the OUTLAST project is to develop, in co-design with potential users, a global and operational drought forecasting system for rainfed agriculture, irrigated agriculture, water
The "Data Interoperability" administrative arrangement between DG AGRI and DG JRC aims to improve the integration of agricultural datasets. Work package 6 focuses on developing a comprehensive farm-level