Climate Change

Digital Forest

Develop a near real-time forest monitoring concept and capitalize on latest advances in AI for predicting major impacts of climate extremes.

NFDI4Biodiversity

Deliver practical tools for researchers and improve data availability for environmental studies/ecology.

NFDI4Earth

Addresses the digital needs of researchers in Earth System Sciences with the aim to understand the functioning of all subsystems of the Earth system and their interactions.

Predicting Landscapes from Environmental Conditions Using Generative Networks

Landscapes are meaningful ecological units that strongly depend on the environmental conditions. Such dependencies between landscapes and the environment have been noted since the beginning of Earth sciences and cast into conceptual models describing …

When Tree Rings Go Global: Challenges and Opportunities for Retro- and Prospective Insight

The demand for large-scale and long-term information on tree growth is increasing rapidly as environmental change research strives to quantify and forecast the impacts of continued warming on forest ecosystems. This demand, combined with the now …

Contrasting and Interacting Changes in Simulated Spring and Summer Carbon Cycle Extremes in European Ecosystems

Climate extremes have the potential to cause extreme responses of terrestrial ecosystem functioning. However, it is neither straightforward to quantify and predict extreme ecosystem responses, nor to attribute these responses to specific climate …

Have Precipitation Extremes and Annual Totals Been Increasing in the World's Dry Regions over the Last 60 Years?

Daily precipitation extremes and annual totals have increased in large parts of the global land area over the past decades. These observations are consistent with theoretical considerations of a warming climate. However, until recently these trends …

Multivariate anomaly detection for Earth observations: A comparison of algorithms and feature extraction techniques

Today, many processes at the Earth's surface are constantly monitored by multiple data streams. These observations have become central to advancing our understanding of vegetation dynamics in response to climate or land use change. Another set of …

Plants, Microorganisms, and Soil Temperatures Contribute to a Decrease in Methane Fluxes on a Drained Arctic Floodplain

As surface temperatures are expected to rise in the future, ice-rich permafrost may thaw, altering soil topography and hydrology and creating a mosaic of wet and dry soil surfaces in the Arctic. Arctic wetlands are large sources of CH4, and …

Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers

Data analysis and model-data comparisons in the environmental sciences require diagnostic measures that quantify time series dynamics and structure, and are robust to noise in observational data. This paper investigates the temporal dynamics of …