GRoW-SaWaM (BMBF): The SaWaM-Project, which is funded by the German Federal Ministry of Education and Research (BMBF) within the "Water as a global Resource (GRoW)“ initiative, aims at the development
The IMLAND project investigates climate change adaptation options within the agricultural sector. It focuses on the region of Northeast Lower Saxony, which is the largest irrigation area in Germany. In
CoastDat-3 (http://www.coastdat.de/about_us/index.php) comprises a compilation of consistent hindcasts obtained from numerical models. The atmospheric part of the dataset is simulated by using the COSMO
Global climate models have difficulties to simulate the northward extension of the monsoonal precipitation over north Africa during the mid-Holocene as revealed by proxy data. A common feature of these
Dynamical downscaling of global gridded data sets from operational analyses, reanalyses, paleoclimate simulations and climate projections for various regions and time periods by a numerical weather prediction
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
From the last interglacial to the anthropocene - modeling a complete glacial cycle.
The PalMod project aims for a better understanding of how slow feedbacks in the Earth system operate.
Using the new
The Halo Microwave Package (HAMP) comprises microwave radiometers with 26 channels in the frequency range between 20 and 183 GHz and a 35 GHz cloud radar. This instrument suite was designed to be deployed
The Intergovernmental Panel on Climate Change (IPCC) has been established by WMO and UNEP to assess scientific, technical and socio-economic information, relevant for the understanding of climate change,
The AEROCOM-project is an open international initiative of scientists interested in the advancement of the understanding of the global aerosol and its impact on climate. A large number of observations
PDRMIP is a climate model intercomparison project that ran from the end of 2013 until completion in 2021. In PDRMIP a number of different climate models have been used to explore whether differences in
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
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.