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Observed Circulation Trends in Boreal Summer Linked to Two Spatially Distinct Teleconnection Patterns

Increasing central and northern European summer heatwave intensity due to forced changes in internal variability

Increasing central and northern European summer heatwave intensity due to forced changes in internal variability

MS3.2: Workshop drivers of annual to decadal changes in climate

EXPECT at EGU: Gerard Marcet-Carbonell

EXPECT at EGU: Rikke Stoffels

EXPECT at EGU: Dim Coumou

EXPECT at EGU: Markus Donat

EXPECT introductory video

Climate extremes and risks: links between climate science and decision-making

Climate extremes and risks: links between climate science and decision-making

Explaining and predicting the Southern Hemisphere eddy-driven jet

Explaining and predicting the Southern Hemisphere eddy-driven jet

Data Infrastructure Setup

Dynamical systems methods to understand projected heatwave intensification

CO2-induced climate change assessment for the extreme 2022 Pakistan rainfall using seasonal forecasts

Excess warming in Europe

Drivers and mechanisms contributing to excess warming in Europe during recent decades

Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations

Increasing central and northern European summer heatwave intensity due to forced internal variability changes

Record Warmth of 2023 and 2024 was Highly Predictable and Resulted From ENSO Transition and Northern Hemisphere Absorbed Shortwave Anomalies

Record Warmth of 2023 and 2024 was Highly Predictable and Resulted From ENSO Transition and Northern Hemisphere Absorbed Shortwave Anomalies

Observation-constrained projections reveal longer-than-expected dry spells

MS 1 – EO and model data for process-based evaluation

Historical forcing datasets

Human influence on the recent weakening of storm tracks in boreal summer

Human influence on the recent weakening of storm tracks in boreal summer

Horizon projects using environmental observations and artificial intelligence for the benefit of science and society

Horizon projects using environmental observations and artificial intelligence for the benefit of science and society

Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives

Artificial intelligence reveals past climate extremes by reconstructing historical records

Artificial intelligence reveals past climate extremes by reconstructing historical records

MS3.1- Internal workshop on methods to assess drivers of annual to decadal changes in climate

MS3.1: Internal workshop on methods to assess drivers of annual to decadal changes in climate