Advancing Subseasonal PredIctions at Reduced computational Effort

Project Information

ASPIRE

Grant agreement ID: 101077260

DOI

10.3030/101077260

EC signature date 12 December 2022

Start date 1 September 2023

End date 31 August 2028

Funded under

• European Research Council (ERC)

Total cost

€ 1 496 246,00

EU contribution

€ 1 496 246,00

Coordinated by

UNIVERSITAT ZU KOLN
Germany

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Peer reviewed articles (11)

Relaxation experiments in ML-based weather prediction models to study subseasonal predictability

Author(s): Siyu Li; Juliana Dias; Benjamin John Moore; Julian F. Quinting
Published in: WEather and Climate Dynamics Discussions, 2025, ISSN 2698-4024
Publisher: Copernicus Publications
DOI: 10.22541/ESSOAR.175883412.26972897/V1

A machine learning model for the prediction of hail-affected area in Germany

Author(s): Li, Siyu; Knippertz, Peter; Kunz, Michael; Wilhelm, Jannik; Quinting, Julian
Published in: Frontiers in Earth Science, 2025, ISSN 2296-6463
Publisher: Frontiers Media SA
DOI: 10.5445/IR/1000180522

Characteristics of diabatically influenced cyclones with high wind damage potential in Europe

Author(s): Svenja Christ, Julian Quinting, Joaquim G. Pinto
Published in: Quarterly Journal of the Royal Meteorological Society, 2025, ISSN 0035-9009
Publisher: Wiley
DOI: 10.1002/QJ.70083

Uncertainty quantification for data-driven weather models

Author(s): Christopher Bülte, Nina Horat, Julian Quinting, Sebastian Lerch
Published in: Artificial Intelligence for the Earth Systems, 2025, ISSN 2769-7525
Publisher: American Meteorological Society
DOI: 10.1175/AIES-D-24-0049.1

Multivariate post‐processing of probabilistic sub‐seasonal weather regime forecasts

Author(s): Fabian Mockert, Christian M. Grams, Sebastian Lerch, Marisol Osman, Julian Quinting
Published in: Quarterly Journal of the Royal Meteorological Society, Issue 150, 2024, ISSN 0035-9009
Publisher: Wiley
DOI: 10.1002/QJ.4840

A satellite-based analysis of semi-direct effects of biomass burning aerosols on fog and low-cloud dissipation in the Namib Desert

Author(s): Alexandre Mass, Hendrik Andersen, Jan Cermak, Paola Formenti, Eva Pauli, Julian Quinting
Published in: Atmospheric Chemistry and Physics, Issue 25, 2025, ISSN 1680-7324
Publisher: Copernicus GmbH
DOI: 10.5194/ACP-25-491-2025

Indication for Biases in Dry Intrusions and the Marine Boundary Layer Over the Azores in ECMWF Short‐Term Forecasts and Analyses

Author(s): A. Schäfler, K. Krüger, A. Oertel, J. F. Quinting, S. Raveh‐Rubin
Published in: Geophysical Research Letters, Issue 51, 2024, ISSN 0094-8276
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024GL109601

On the role of moist and dry processes in atmospheric blocking biases in the Euro-Atlantic region in CMIP6

Author(s): Dolores-Tesillos, Edgar; Martius, Olivia; Quinting, Julian
Published in: Weather and Climate Dynamics, 2024, ISSN 2698-4016
Publisher: Copernicus Publications
DOI: 10.5194/EGUSPHERE-2024-2878

Architectural insights into and training methodology optimization of Pangu-Weather

Author(s): Deifilia To, Julian Quinting, Gholam Ali Hoshyaripour, Markus Götz, Achim Streit, Charlotte Debus
Published in: Geoscientific Model Development, Issue 17, 2024, ISSN 1991-9603
Publisher: Copernicus GmbH
DOI: 10.5194/GMD-17-8873-2024

“The work of thought”–The machine learning revolution can be a revolution for our understanding of the Earth System

Author(s): Joshua Oldham-Dorrington, Julian Quinting, Stefan Sobolowski
Published in: PLOS Climate, Issue 4, 2025, ISSN 2767-3200
Publisher: Public Library of Science (PLoS)
DOI: 10.1371/JOURNAL.PCLM.0000710

Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach

Author(s): Fabian Mockert, Christian M. Grams, Sebastian Lerch, Julian Quinting
Published in: Quarterly Journal of the Royal Meteorological Society, 2026, ISSN 0035-9009
Publisher: Wiley
DOI: 10.1002/QJ.70090