This project investigates CO2 and CO dispersion, focusing on German metropolitan areas. Its aim is to provide a high-quality, high-resolution, long-term dataset of CO2 and CO concentrations and meteorology
This project investigates how intelligent sponge city technologies can mitigate urban heat islands (UHI) in the Qinghai-Tibet Plateau. It aims to develop scalable models for climate-resilient urban planning
Annual maxima of sub-daily precipitation were extracted from each of 35 members of a EURO-CORDEX ensemble with a spatial resolution of 0.11° (EURO-CORDEX: https://www.euro-cordex.net/). Precipitation durations
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
NEX-GDDP-CMIP6 is intended to support climate impact assessments, risk analysis, and adaptation planning in sectors such as hydrology, agriculture, energy, infrastructure, and public health. By increasing
The forcing datasets (and boundary conditions) needed for CMIP6 experiments are being prepared by a number of different experts. Initially many of these datasets may only be available from those experts,
The University of Texas at Austin (UT Austin) created a Hindcast dataset using the Google DeepMind Graphcast operational model from 1979 to 2024. This project was supported by the United States Department
This Research Unit (RU) addresses the growing public health concern of accelerated disease burden as a consequence of climate change. So far, there have been very limited concerted efforts by public health
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 investigates the role of gravity waves (GWs) in shaping middle atmosphere dynamics under present-day climate conditions. Specifically, it explores how localized GW forcing in Northern Hemisphere
The EU Horizon 2020 project PolarRES (https://polarres.eu) aims to improve regional climate information to support impact assessments in the Arctic and Antarctic. To this end, high-resolution climate projections
Tropical cyclones, heatwaves and extreme droughts are examples of extreme climate events that are difficult to predict. Climate change has increased the likelihood and severity of such events, and predicting
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