Michael Scheuerer

Rochelle P. Worsnop; Michael Scheuerer; Thomas M. Hamill; Timothy A. Smith; Jakob Schlör; RUFCO: a deep-learning framework to post-process subseasonal precipitation accumulation forecasts Artificial Intelligence for the Earth Systems, doi: https://doi.org/10.1175/AIES-D-24-0020.1 , 2024. Scientific article

Michael Scheuerer; Multi-decadal streamflow projections for catchments in Brazil 2024. Lecture

Michael Scheuerer; Kjersti Aas; Technical Implementation Validation 2024. Report

Michael Scheuerer; Decadal inflow projections for catchments in Brazil 2024. Lecture

Michael Scheuerer; Emilie Byermoen; Decadal inflow projections for catchments in Brazil 2024. Lecture

Michael Scheuerer; Decadal inflow projections for catchments in Brazil 2024. Lecture

Michael Scheuerer; Titike Kassa Bahaga; Z.T. Segele; Thordis Linda Thorarinsdottir; Probabilistic rainy season onset prediction over the greater horn of africa based on long-range multi-model ensemble forecasts Climate Dynamics, pp. 18 , (ISSN 0930-7575 1432-0894 ), doi: https://doi.org/10.1007/s00382-023-07085-y , 2024. Scientific article

Joseph Bellier; Brett Whitin; Michael Scheuerer; James Brown; Thomas M. Hamill; A Multi-Temporal-Scale Modulation Mechanism for the Postprocessing of Precipitation Ensemble Forecasts: Benefits for Streamflow Forecasting Journal of Hydrometeorology, vol. 24, pp. 659 673 14 , (ISSN 1525-755X 1525-7541 ), doi: https://doi.org/10.1175/JHM-D-22-0119.1 , 2023. Scientific article

Anders Løland; Marit Holden; Michael Scheuerer; Smoothing of forward curves – 2023 update allowing for negative prices 2023. Report

Matthew B. Switanek; Thomas M. Hamill; Lindsey N. Long; Michael Scheuerer; Predicting Subseasonal Tropical Cyclone Activity Using NOAA and ECMWF Reforecasts Weather and forecasting, vol. 38, pp. 357 370 13 , (ISSN 0882-8156 1520-0434 ), doi: https://doi.org/10.1175/WAF-D-22-0124.1 , 2023. Scientific article

Thea Roksvåg; Alex Lenkoski; Michael Scheuerer; Claudio Constantin Heinrich; Thordis Linda Thorarinsdottir; Probabilistic prediction of the time to hard freeze using seasonal weather forecasts and survival time methods Quarterly Journal of the Royal Meteorological Society, (ISSN 0035-9009 1477-870X ), doi: https://doi.org/10.1002/qj.4403 , 2022. Scientific article

David M. Schultz; Jeffrey Anderson; Tommaso Benacchio; Kristen L. Corbosiero; Matthew D. Eastin; et al. How to Be a More Effective Author Monthly Weather Review, (ISSN 0027-0644 1520-0493 ), doi: https://doi.org/10.1175/MWR-D-22-0277.1 , 2022. Editorial

Thea Roksvåg; Alex Lenkoski; Michael Scheuerer; Claudio Constantin Heinrich; Thordis Linda Thorarinsdottir; Prediction of the time to hard freeze using seasonal weather forecasts and survival time methods 2022. Lecture

Michael Scheuerer; Using statistical and machine learning techniques to improve the skill of sub-seasonal weather predictions over Norway. 2022. Scientific lecture

Michael Scheuerer; Using statistical and machine learning techniques to improve the skill of sub-seasonal weather predictions over Norway 2021. Scientific lecture

Øyvind Grotmol; Martin Jullum; Kjersti Aas; Michael Scheuerer; White paper on performance evaluation of volatility estimation methods for Exabel 2021. Report

Øyvind Grotmol; Michael Scheuerer; Kjersti Aas; Martin Jullum; Whitepaper on Exabel’s Factor Model 2021. Report

Rochelle P. Worsnop; Michael Scheuerer; Francesca Di Giuseppe; Christopher Barnard; Thomas M. Hamill; et al. Probabilistic fire danger forecasting: A framework for week-two forecasts using statistical postprocessing techniques and the global ECMWF fire forecast system (GEFF) Weather and forecasting, vol. 36, pp. 2113 2125 12 , (ISSN 0882-8156 1520-0434 ), doi: https://doi.org/10.1175/WAF-D-21-0075.1 , 2021. Scientific article

Michael Scheuerer; Probabilistic forecasts for rainfall onset 2021. Lecture

Michael Scheuerer; Thordis Linda Thorarinsdottir; Alex Lenkoski; The Climate Futures Center for Research-based Innovation 2021. Lecture