Events

Over the last decades, the magnitude and complexity of climate and biogeochemical data from satellite sensors, stations, and climate models has substantially increased. This is starting to overwhelm the relatively simple tools and methods currently used to analyze the data. On the other hand, recent developments in machine learning have led to powerful new methods which promise to yield novel insights - if they properly cope with the particular challenges of such data. The new field of Climate Informatics could contribute to substantially enhance our understanding of the Earth system and confidence in future climate projections. This session invites contributions of new statistical and machine learning methodology including (but not limited to) causal discovery, deep learning, probabilistic and Bayesian inference, computer vision, and advanced model-data integration applied to Earth system models and observations. [more]

Climate extremes are one of the major future threats to society, as recognized by several international bodies. Yet, it is difficult to conceive the question: “Which instabilities, tipping points and risk cascades are most likely emerging from the interaction of future climate extremes with ecological and societal systems? [more]

The meeting will bring together world experts on multiple evidence streams and theory to assess the CO2 fertilization effect on the terrestrial carbon sink. The primary goal of the meeting is to integrate the evidence streams and to resolve conflicts in the interpretation of the evidence streams into a quantitative synthesis of the state of knowledge. The synthesis will take the form of a high-quality review article. A secondary goal is to identify research opportunities and foster collaborations to take advantage of these opportunities. [more]

Ecosystem transpiration has become a hot topic lately, with a surge of new methods and datasets coming out, such as data driven partitioning of eddy covariance fluxes and aggregations of site level transpiration estimates (e.g. SAPFLUXNET). New methods have their strengths and weaknesses, but have the potential to advance both the global modeling community on transpiration dynamics as well as focused studies at target ecosystems. In order to better understand what is now available in the community, what is needed, and what sort of validation is necessary for current and future estimates of transpiration, we would like to propose a workshop which would bring together potential users and producers of transpiration datasets with a focus on high global and/or temporal coverage [more]

[more]

The topic of extreme events and emergent risks under global environmental change is both scientifically challenging and of high societal relevance. It includes the study of measures for disaster risk reduction and for improving societal resilience. Even if globally averaged surface warming could be limited to "well below 2°C", as demanded by the Paris Agreement, the impacts of climate extremes at multiple temporal and spatial scales and in different regions will pose serious threats to human societies and ecosystems. Improving the societal resilience to enhance successful responses to extreme events will directly address SDGs 2, 3, 6, 9, 13, 14 and 15. [more]

Climate extremes are one of the major future threats to society, as recognized by several international bodies. Yet, it is difficult to conceive the question: “Which instabilities, tipping points and risk cascades are most likely emerging from the interaction of future climate extremes with ecological and societal systems?” Key goal of this working group is to envision how far the German and international scientific community may come in the next 5-10 years to answer the above question. [more]