Markus Donat

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ICREA Research Professor

Instituciò Catalana de Recerca i Estudis Avancats

Spain

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Markus Donat is an ICREA Research Professor at the Instituciò Catalana de Recerca i Estudis Avancats in Spain. His research focuses on climate prediction, including the impacts of climate extremes and the use of artificial intelligence in reconstructing historical climate records. His recent publications explore topics such as decadal climate predictions, Arctic sea-ice loss, and the societal risks associated with food price spikes due to climate phenomena.

Recent Grants

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Project DE150100456

Open Date: 2015-01-01

Close Date: 2017-12-31

Markus Donat

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Recent Grants

Articles (24)

Constraining the NAO-temperature teleconnection in CMIP6 simulations enables skillful multi-annual predictions of Eurasian winter climate

Constraining decadal climate predictions with seasonal forecasts: a step toward seamless multi-year climate information

Climate extremes, food price spikes, and their wider societal risks

Arctic sea-ice loss drives a strong regional atmospheric response over the North Pacific and North Atlantic on decadal scales

Regional irreversibility of mean and extreme surface air temperature and precipitation in CMIP6 overshoot scenarios associated with interhemispheric temperature asymmetries

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

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

Near-Term Mediterranean Summer Temperature Climate Projections: A Comparison of Constraining Methods

Observed Global Changes in Sector‐Relevant Climate Extremes Indices—An Extension to HadEX3

Impact of Atlantic multidecadal variability on rainfall intensity distribution and timing of the West African monsoon

Artificial intelligence reveals past climate extremes by reconstructing historical records

Constraining decadal variability regionally improves near-term projections of hot, cold and dry extremes

How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?

Projected Changes in Hot, Dry, and Compound Hot‐Dry Extremes Over Global Land Regions

Multi-annual predictions of the frequency and intensity of daily temperature and precipitation extremes

Large spread in interannual variance of atmospheric CO2 concentration across CMIP6 Earth System Models

Author Correction: Enhanced multi-year predictability after El Niño and La Niña events

Enhanced multi-year predictability after El Niño and La Niña events

Constraining low-frequency variability in climate projections to predict climate on decadal to multi-decadal timescales – a poor man's initialized prediction system

Representation and Annual to Decadal Predictability of Euro‐Atlantic Weather Regimes in the CMIP6 Version of the EC‐Earth Coupled Climate Model

Assessment of a full-field initialized decadal climate prediction system with the CMIP6 version of EC-Earth

Toward Consistent Observational Constraints in Climate Predictions and Projections

Constraining Decadal Variability Yields Skillful Projections of Near‐Term Climate Change

Stewardship Maturity Assessment Tools for Modernization of Climate Data Management

Collaborators (11)

Saskia Loosveldt Tomas

Miguel Castrillo

Andrew Ballinger

Florent Brient

Rashed Mahmood

Matthew England

Elsa Mohino

Diego Miralles

John Chiang

Tanya Lippmann

Pierre-Antoine Bretonnière

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