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Publication profile

Publication profile

Michael Scheuerer

Michael, Scheuerer
Name: Michael Scheuerer
Title: Seniorforsker / Senior Reseach Scientist
Phone: (+47) +47 22 85 25 86
Email: scheuerer [at] nr [dot] no
Scientific areas: Probabilistic forecasting and verification, Weather and climate, Machine learning
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Academic article
2023
Switanek, Matthew B.; Hamill, Thomas M.; Long, Lindsey N.; Scheuerer, Michael. Predicting subseasonal tropical cyclone activity using NOAA and ECMWF reforecasts. Weather and forecasting (ISSN 0882-8156). pp 357-370. doi: 10.1175/WAF-D-22-0124.1. 2023.
Bellier, Joseph; Whitin, Brett; Scheuerer, Michael; Brown, James; Hamill, Thomas M.. A multi-temporal-scale modulation mechanism for the post-processing of precipitation ensemble forecasts: Benefits for streamflow forecasting. Journal of Hydrometeorology (ISSN 1525-755X). doi: 10.1175/JHM-D-22-0119.1. 2023.
2022
Roksvåg, Thea; Lenkoski, Alex; Scheuerer, Michael; Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda. 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). doi: 10.1002/qj.4403. 2022.
2021
Worsnop, Rochelle P.; Scheuerer, Michael; Di Giuseppe, Francesca; Barnard, Christopher; Hamill, Thomas M.; Vitolo, Claudia. 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 (ISSN 0882-8156). 36(6) pp 2113-2125. doi: 10.1175/WAF-D-21-0075.1. 2021.
Academic lecture
2022
Scheuerer, Michael. Using statistical and machine learning techniques to improve the skill of sub-seasonal weather predictions over Norway. Seminar; Department of Statistics, Uppsala University (talk given remotely), 2/9/2022.
2021
Scheuerer, Michael. Using statistical and machine learning techniques to improve the skill of sub-seasonal weather predictions over Norway. Big Insight Seminar; Oslo, 11/24/2021.
Lecture
2022
Roksvåg, Thea; Lenkoski, Alex; Scheuerer, Michael; Heinrich, Claudio Constantin; Thorarinsdottir, Thordis Linda. Prediction of the time to hard freeze using seasonal weather forecasts and survival time methods. Faglig seminar - Climate Futures; Zoom, 2/15/2022.
2021
Scheuerer, Michael. Probabilistic forecasts for rainfall onset. Virtual Pre-COF59 Workshop; Ngong, 8/16/2021 - 8/20/2021.
Scheuerer, Michael; Thorarinsdottir, Thordis Linda; Lenkoski, Alex. The Climate Futures Center for Research-based Innovation. Statkraft knowledge session; Oslo, 11/11/2021.
Report
2021
Grotmol, Øyvind; Scheuerer, Michael; Aas, Kjersti; Jullum, Martin. Whitepaper on Exabel’s Factor Model. EXABEL. pp 7. 2021.
Grotmol, Øyvind; Jullum, Martin; Aas, Kjersti; Scheuerer, Michael. White paper on performance evaluation of volatility estimation methods for Exabel. EXABEL. pp 12. 2021.
Editorial
2022
Schultz, David M.; Anderson, Jeffrey; Benacchio, Tommaso; Corbosiero, Kristen L.; Eastin, Matthew D.; Evans, Clark; Gao, Jidong; Hacker, Joshua P.; Hodyss, Daniel; Kleist, Daryl; Kumjian, Matthew R.; McTaggart-Cowan, Ron; Meng, Zhiyong; Minder, Justin; Posselt, Derek; Roundy, Paul; Rowe, Angela; Scheuerer, Michael; Schumacher, Russ S.; Trier, Stan; Weiss, Christopher. How to Be a More Effective Author. Monthly Weather Review (ISSN 0027-0644). doi: 10.1175/MWR-D-22-0277.1. 2022.
Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR