Blar i Geophysical Institute på forfatter "Sorteberg, Asgeir"
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The 3 km Norwegian reanalysis (NORA3) – a validation of offshore wind resources in the North Sea and the Norwegian Sea
Solbrekke, Ida Marie; Sorteberg, Asgeir; Haakenstad, Hilde (Journal article; Peer reviewed, 2021)We validate a new high-resolution (3 km) numerical mesoscale weather simulation for offshore wind power purposes for the time period 2004–2016 for the North Sea and the Norwegian Sea. The 3 km Norwegian reanalysis (NORA3) ... -
Bruk og misbruk av klimaframskrivninger
Sorteberg, Asgeir (Journal article, 2009)Forskere er avhengig av pålitelige klimaframskrivninger for å kunne si hvilke konsekvenser klimaforandringer får for mennesker og samfunn i framtiden. Men hva kan klimaframskrivninger brukes til og hvordan bør de brukes? -
Characterization of the atmospheric environment during extreme precipitation events associated with atmospheric rivers in Norway - Seasonal and regional aspects
Michel, Clio; Sorteberg, Asgeir; Eckhardt, Sabine; Weijenborg, Christian; Stohl, Andreas; Cassiani, Massimo (Journal article; Peer reviewed, 2021)Extreme precipitation events in Norway in all seasons are often linked to atmospheric rivers (AR). We show that during the period 1979–2018 78.5% of the daily extreme precipitation events in Southwestern Norway are linked ... -
Description and evaluation of the Bergen climate model: ARPEGE coupled with MICOM
Furevik, Tore; Bentsen, Mats; Drange, Helge; Kindem, I. K. T.; Kvamstø, Nils Gunnar; Sorteberg, Asgeir (Peer reviewed; Journal article, 2003-07)A new coupled atmosphere–ocean–sea ice model has been developed, named the Bergen Climate Model (BCM). It consists of the atmospheric model ARPEGE/IFS, together with a global version of the ocean model MICOM including a ... -
A diagnosis of warm-core and cold-core extratropical cyclone development using the Zwack–Okossi equation
Azad, Roohollah; Sorteberg, Asgeir (Peer reviewed; Journal article, 2009)In this study, the development of a warm-core and cold-core extratropical cyclone over North Atlantic is examined. The geostrophic relative vorticity tendency used to diagnose the development is calculated utilizing the ... -
The dynamic and thermodynamic structure of monsoon low-pressure systems during extreme rainfall events
Sørland, Silje Lund; Sorteberg, Asgeir (Peer reviewed; Journal article, 2015-08-12)A cyclone-tracking algorithm is used to identify monsoon low-pressure systems (LPS) in the ERA-interim re-analysis (1979–2010). The LPS that are connected to observed extreme rainfall events are picked out and studied with ... -
Dynamical downscaling of ERA-40 in complex terrain using the WRF regional climate model
Heikkilä, Ulla Elina; Sandvik, Anne Dagrun; Sorteberg, Asgeir (Peer reviewed; Journal article, 2010)Results from a first-time employment of the WRF regional climate model to climatological simulations in Europe are presented. The ERA-40 reanalysis (resolution 1 ) has been downscaled to a horizontal resolution of 30 and ... -
The effect of moisture transport variability on Ethiopian summer precipitation
Viste, Ellen Marie; Sorteberg, Asgeir (Peer reviewed; Journal article, 2013-12)The main rainy season in Ethiopia occurs during the northern hemisphere summer, when air masses carrying moisture from the Indian Ocean, the Gulf of Guinea, the African continent, the Red Sea, and the Mediterranean Sea, ... -
Effects of simulated natural variability on Arctic temperature
Sorteberg, Asgeir; Furevik, Tore; Drange, Helge; Kvamstø, Nils Gunnar (Journal article, 2005-09-23)A five-member ensemble with a coupled atmospheresea ice-ocean model is used to examine the effects of natural variability on climate projections for the Arctic. The individual ensemble members are initialized from a 300 ... -
Factors affecting extreme rainfall events in the South Pacific
Pariyar, Sunil Kumar; Keenlyside, Noel; Sorteberg, Asgeir; Spengler, Thomas; Bhatt, Bhuwan Chandra; Ogawa, Fumiaki (Journal article; Peer reviewed, 2020)Extreme rainfall events in the South Pacific are widespread and affected by various factors on different time scales. We use daily rainfall data from 20 stations over the South Pacific to investigate the characteristics ... -
Future Projections of EURO-CORDEX Raw and Bias-Corrected Daily Maximum Wind Speeds Over Scandinavia
Michel, Clio; Sorteberg, Asgeir (Journal article; Peer reviewed, 2023)Twenty historical and future Coordinated Regional Climate Downscaling Experiment ensemble for Europe simulations are bias corrected to investigate the future changes in the daily maximum wind speed over Scandinavia. We use ... -
Groundwater fluctuations during a debris flow event in western Norway - Triggered by rain and snowmelt
Bondevik, Stein; Sorteberg, Asgeir (Journal article; Peer reviewed, 2021)Pore pressure is crucial in triggering debris slides and flows. Here we present measurements of groundwater pore pressure and temperature recorded by a piezometer 1.6 m below the surface on a slope susceptible to debris ... -
Identifying major drivers of daily streamflow from large-scale atmospheric circulation with machine learning
Hagen, Jenny Sjåstad; Leblois, Etienne; Lawrence, Deborah; Solomatine, Dimitri; Sorteberg, Asgeir (Journal article; Peer reviewed, 2021)Previous studies linking large-scale atmospheric circulation and river flow with traditional machine learning techniques have predominantly explored monthly, seasonal or annual streamflow modelling for applications in ... -
Impacts of climate change on Blue Nile flows using bias-corrected GCM scenarios
Elshamy, Mohamed; Seierstad, Ivar Ambjørn; Sorteberg, Asgeir (Peer reviewed; Journal article, 2009)This study analyses the output of 17 general circulation models (GCMs) included in the 4th IPCC assessment report. Downscaled precipitation and potential (reference crop) evapotranspiration (PET) scenarios for the 2081– ... -
Improving Radar-Based Precipitation Nowcasts with Machine Learning Using an Approach Based on Random Forest
Mao, Yiwen; Sorteberg, Asgeir (Journal article; Peer reviewed, 2020)A binary classification model is trained by random forest using data from 41 stations in Norway to predict the precipitation in a given hour. The predictors consist of results from radar nowcasts and numerical weather ... -
Large‐scale regional model biases in the extra‐tropical North Atlantic storm track and impacts on downstream precipitation
Pontoppidan, Marie Louise Nielsen; Kolstad, Erik Wilhelm; Sobolowski, Stefan Pieter; Sorteberg, Asgeir; Changhai, Liu; Rasmussen, Roy (Peer reviewed; Journal article, 2019)Global climate models have circulation biases that the community aims to reduce, for instance through high‐resolution dynamical downscaling. We used the Weather Research and Forecasting model (WRF) to downscale both ... -
Mitigation of offshore wind power intermittency by interconnection of production sites
Solbrekke, Ida Marie; Kvamstø, Nils Gunnar; Sorteberg, Asgeir (Journal article; Peer reviewed, 2020)This study uses a unique set of hourly wind speed data observed over a period of 16 years to quantify the potential of collective offshore wind power production. We address the well-known intermittency problem of wind power ... -
Modelled mass balance of Xibu glacier, Tibetan Plateau: sensitivity to climate change
Caidong, Caidong; Sorteberg, Asgeir (Journal of Glaciology, Journal article, 2010-06-01)Due to a lack of in situ measurements, model-based studies of glacier mass balance in the Tibetan Plateau are very limited. An energy-balance model is applied to analyse the mass-balance sensitivity of Xibu glacier, in the ... -
Moisture transport into the Ethiopian highlands
Viste, Ellen Marie; Sorteberg, Asgeir (Journal article, 2013-01)The Ethiopian summer rains occur as air masses of various origins converge above the Ethiopian plateau. In this study, the relative importance of different moisture transport branches has been estimated using the Lagrangian ... -
NORA3-WP: A high-resolution offshore wind power dataset for the Baltic, North, Norwegian, and Barents Seas
Solbrekke, Ida Marie; Sorteberg, Asgeir (Journal article; Peer reviewed, 2022)We present a new high resolution wind resource and wind power dataset named NORA3-WP. The dataset covers the North Sea, the Baltic Sea and parts of the Norwegian and Barents Seas. The 3-km Norwegian reanalysis (NORA3) forms ...