Leonardo Olivetti
PhD student at Department of Earth Sciences; Program for Air, Water and Landscape Sciences; Hydrology and Environmental Analysis
- E-mail:
- leonardo.olivetti@geo.uu.se
- Visiting address:
- Geocentrum, Villavägen 16
752 36 Uppsala - Postal address:
- Villavägen 16
752 36 UPPSALA

Publications
Selection of publications
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Advances and prospects of deep learning for medium-range extreme weather forecasting
Part of Geoscientific Model Development, p. 2347-2358, 2024
- DOI for Advances and prospects of deep learning for medium-range extreme weather forecasting
- Download full text (pdf) of Advances and prospects of deep learning for medium-range extreme weather forecasting
Recent publications
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Part of Weather and Climate Extremes, 2026
- DOI for Stratospheric and tropospheric contributions to North American cold temperatures and subsequent North Atlantic jet stream anomalies
- Download full text (pdf) of Stratospheric and tropospheric contributions to North American cold temperatures and subsequent North Atlantic jet stream anomalies
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An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Part of Quarterly Journal of the Royal Meteorological Society, 2026
- DOI for An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
- Download full text (pdf) of An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
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Part of Progress in Disaster Science, 2026
- DOI for The citation gap: An overview of academic output in the field of natural hazards and climate extremes analyzed through Google Scholar data
- Download full text (pdf) of The citation gap: An overview of academic output in the field of natural hazards and climate extremes analyzed through Google Scholar data
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Can data-driven weather models accurately forecast atmospheric rivers?
Part of Environmental Research Letters, 2025
- DOI for Can data-driven weather models accurately forecast atmospheric rivers?
- Download full text (pdf) of Can data-driven weather models accurately forecast atmospheric rivers?
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Whose weather is it?: A fairness framework for data-driven weather forecasting
Part of Environmental Research Letters, 2025
- DOI for Whose weather is it?: A fairness framework for data-driven weather forecasting
- Download full text (pdf) of Whose weather is it?: A fairness framework for data-driven weather forecasting
All publications
Articles in journal
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Part of Weather and Climate Extremes, 2026
- DOI for Stratospheric and tropospheric contributions to North American cold temperatures and subsequent North Atlantic jet stream anomalies
- Download full text (pdf) of Stratospheric and tropospheric contributions to North American cold temperatures and subsequent North Atlantic jet stream anomalies
-
An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
Part of Quarterly Journal of the Royal Meteorological Society, 2026
- DOI for An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
- Download full text (pdf) of An objective Bayesian method for including parameter uncertainty in ensemble model output statistics
-
Part of Progress in Disaster Science, 2026
- DOI for The citation gap: An overview of academic output in the field of natural hazards and climate extremes analyzed through Google Scholar data
- Download full text (pdf) of The citation gap: An overview of academic output in the field of natural hazards and climate extremes analyzed through Google Scholar data
-
Can data-driven weather models accurately forecast atmospheric rivers?
Part of Environmental Research Letters, 2025
- DOI for Can data-driven weather models accurately forecast atmospheric rivers?
- Download full text (pdf) of Can data-driven weather models accurately forecast atmospheric rivers?
-
Whose weather is it?: A fairness framework for data-driven weather forecasting
Part of Environmental Research Letters, 2025
- DOI for Whose weather is it?: A fairness framework for data-driven weather forecasting
- Download full text (pdf) of Whose weather is it?: A fairness framework for data-driven weather forecasting
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Part of Upsala Journal of Medical Sciences, 2025
- DOI for Transcatheter aortic valve implantation in Uppsala University Hospital 2009-2023: outcomes and temporal trends
- Download full text (pdf) of Transcatheter aortic valve implantation in Uppsala University Hospital 2009-2023: outcomes and temporal trends
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Part of Geoscientific Model Development, p. 7915-7962, 2024
- DOI for Do data-driven models beat numerical models in forecasting weather extremes?: A comparison of IFS HRES, Pangu-Weather, and GraphCast
- Download full text (pdf) of Do data-driven models beat numerical models in forecasting weather extremes?: A comparison of IFS HRES, Pangu-Weather, and GraphCast
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Part of Journal of Advances in Modeling Earth Systems, 2024
- DOI for A Quantile Generalized Additive Approach for Compound Climate Extremes: Pan-Atlantic Extremes as a Case Study
- Download full text (pdf) of A Quantile Generalized Additive Approach for Compound Climate Extremes: Pan-Atlantic Extremes as a Case Study
Articles, review/survey
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Advances and prospects of deep learning for medium-range extreme weather forecasting
Part of Geoscientific Model Development, p. 2347-2358, 2024
- DOI for Advances and prospects of deep learning for medium-range extreme weather forecasting
- Download full text (pdf) of Advances and prospects of deep learning for medium-range extreme weather forecasting