This project is embedded in the project 'High-resolution monitoring of avoided carbon emissions and carbon restoration potentials from land use change', funded by German Stifterverband für die Deutsche
For the 6th Assessment Report of the IPCC (AR6) input/source and intermediate datasets underlying the AR6 were collected and long-term archived. This project compliments CMIP6 data subset and snapshot analyzed for the WGI AR6.
Knowledge of small-scale rainfall variability is needed for several meteorological and hydrological applications. For this purpose, the University of Hamburg operates two local area weather radars (LAWR)
This data provides critical support for investigating the characteristics and causes of hydroclimate extremes in EC at various spatiotemporal scales, as well as the relationship with climate modes, such
The datasets in this project are developed as a part of a project associated with the Indian Institute of Technology Delhi, India, and the National Mission for Clean Ganga, Government of India. We have
The weather type and gale catalogues of the Federal Maritime and Hydrographic Agency of Germany (BSH) provide a classification of the pattern and intensity of the general atmospheric circulation over the
VolMIP is a protocol-driven international project aiming at coordinating the activities of different Research Institutes involved in numerical climate modelling focused on a multi-model assessment of climate
ClimXtreme_ECCES (Effects of climate change on extreme sea levels in the North Sea under realistic consideration of external surges and atmosphere-ocean feedback mechanisms)
This project aims at an understanding of regional impacts of global climate change on extreme sea level heights in the North Sea. Based on model results of high-resolution climate projections for the 21st
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
The Max Planck Institute for Meteorology (MPI-M) Emission-driven Large Ensemble (MPI-Edriven-LE) is based on the Earth system model MPI-ESM1-2-LR. This ensemble is forced by CO2 emissions in representing
Road traffic emissions of nitrogen oxides (NOx), carbon monooxide (CO) and volatile organic compounds (VOC) influence the concentration of ozone (O3) and methane (CH4) in the atmosphere. These greenhouse
This project provides variables from MPI-ESM1-2 CMIP6 experiments performed by DKRZ, MPI-M and DWD in the context of the BMBF funded CMIP6 DICAD project (FKZ 01LP1605A). The experiments are described at