Asgeir Sorteberg

Prof.

University of Bergen

Norway

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About

Asgeir Sorteberg is a Professor at Universitetet i Bergen, Norway. His research areas include climate impacts on weather phenomena, particularly focusing on wind damages, precipitation attribution, and offshore wind power planning. Recent publications reflect his expertise in analyzing long-term climate data and projecting future weather scenarios in high latitude climates.

Articles (16)

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (3)

Kjersti Konstali

University of Bergen

NORWAY

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Thomas Spengler

Professor

University of Bergen

NORWAY

View details

Clio Michel

Norwegian Meteorological Institute

NORWAY

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Asgeir Sorteberg

Research Interests

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Articles (16)

Linking Future Precipitation Changes to Weather Features in CESM2‐LE

Global Attribution of Precipitation to Weather Features

Assessment of wind-damage relations for Norway using 36 years of daily insurance data

Norwegian offshore wind power-Spatial planning using multi-criteria decision analysis

Projections of windstorms damages under changing climate and demography for Norway

Future Projections of EURO-CORDEX Raw and Bias-Corrected Daily Maximum Wind Speeds Over Scandinavia

Reconstructing daily streamflow and floods from large-scale atmospheric variables with feed-forward and recurrent neural networks in high latitude climates

NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas

Why has Precipitation Increased in the Last 120 Years in Norway?

Characterization of the atmospheric environment during extreme precipitation events associated with atmospheric rivers in Norway-Seasonal and regional aspects

Groundwater fluctuations during a debris flow event in western Norway - triggered by rain and snowmelt

Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning

The 3 km Norwegian reanalysis (NORA3) - a validation of offshore wind resources in the North Sea and the Norwegian Sea

Factors affecting extreme rainfall events in the South Pacific

Improving Radar-Based Precipitation Nowcasts with Machine Learning Using an Approach Based on Random Forest

Mitigation of offshore wind power intermittency by interconnection of production sites

Collaborators (3)

Kjersti Konstali

Thomas Spengler

Clio Michel

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