Research Director

Rune Solberg

Projects

  • Earth observation
  • Snow monitoring
  • Climate and Environment

Snow observations for climate monitoring (Snow CCI)
Lighthouse on a cliff at dusk, with its light shining across the sea toward the horizon.
  • Digital security and privacy
  • Earth observation
  • Explainable Artificial Intelligence

Trustworthy and sustainable AI (ENFIELD)

Publications

  • 405 publications found
Dahl, Fredrik Andreas; Trier, Øivind Due and Solberg, Rune. (2026).
Analyse av avvikskarakteristikk for snødekningsgrad.
Norsk Regnesentral. BAMJO/21/25. 46 S. 30. january 2026.
NVA Full text Report
Show summary
I denne rapporten beskrives arbeidet og resultater fra en utvidelse av validering og evaluering av produkter for snødekningsgrad (FSC) fra 2024. Hensikten har vært å undersøke hvordan avvikene (feil) i FSC-verdier, relativt til «fasiter» fra bilder med høyere oppløsning, varierer i tid og rom med aggregeringsnivå, arealdekke og terreng. Analysene er gjort for Østlandet og tilsigsområder valgt ut av NVE med satellittdata over flere år. Referansedata («fasiter») er basert på Sentinel-2 MSIprodukter i 10 m oppløsning, mens FSC-produktene som ble analysert, er basert på 0,5 km data fra Sentinel-3 SLSTR. Resultatene viser at avvikene har tydelig romlig og tidsmessig struktur. Romlig aggregering reduserer MAE og RMSE, mens bias i hovedsak bevares. En betydelig del av feilen midles likevel ikke effektivt ut ved aggregering opp til de største testede skalaene, noe som tyder på systematiske avvik over større områder. I høydesoneanalysene fremkommer et robust mønster med økte avvik rundt 400-500 m. Når FSC aggregeres til sone-middelverdier per dato reduseres avvikene sammenliknet med pikselbasert stratifisering, men mønsteret i høyde avtar ikke fullt ut. Avvikene er generelt større i skog enn i områder med bart fjell og sparsom vegetasjon, med en negativ bias i skog, som er konsistent med utfordringer knyttet til snø under trekroner. Samlet viser analysen hvordan avvik endrer karakter ved aggregering til modelleringsrelevante enheter, og peker på forhold som bør tas hensyn til ved bruk av FSC som areal- og høydesoneaggregert modellinput
Rudjord, Øystein and Solberg, Rune. (2024).
SnowModel4Sentinel Phase 1 Report.
Norsk Regnesentral. BAMJO/23/24. 40 S.
NVA Report
Solberg, Rune; Gustafsson, David; Waldeland, Anders U.; Rudjord, Øystein; Reksten, Jarle Hamar and Salberg, Arnt Børre. (2024).
Final Report, AI4Arctic SnowMass Deliverable D6, version 1.
Norsk Regnesentral. BAMJO/31/24. 24 S.
NVA Report
Rudjord, Øystein; Waldeland, Anders U. and Solberg, Rune. (2024).
Prototype Product Report, AI4Arctic SnowMass Deliverable D3, version 3.
Norsk Regnesentral. BAMJO/26/24. 92 S.
NVA Report
Rudjord, Øystein; Waldeland, Anders U.; Reksten, Jarle Hamar and Solberg, Rune. (2024).
Software Description, AI4Arctic SnowMass Deliverable D4, version 3.
Norsk Regnesentral. BAMJO/27/24. 17 S.
NVA Report
Waldeland, Anders U.; Rudjord, Øystein; Reksten, Jarle Hamar; Salberg, Arnt Børre and Solberg, Rune. (2024).
Algorithm Report, AI4Arctic SnowMass Deliverable D2, version 3.1.
Norsk Regnesentral. BAMJO/25/24. 56 S.
NVA Report
Gustafsson, David; Clemenzi, Ilaria; Musuuza, Jude and Solberg, Rune. (2024).
Dataset Description, AI4Arctic SnowMass Deliverable D1, version 3.
Norwegian Computing Center. BAMJO/17/24. 26 S.
NVA Report
Gustafsson, David; Waldeland, Anders U.; Rudjord, Øystein and Solberg, Rune. (2024).
Validation Report, AI4Arctic SnowMass Deliverable D5, version 1.
Norsk Regnesentral. BAMJO/30/24. 22 S.
NVA Report
Rudjord, Øystein; Waldeland, Anders U.; Trier, Øivind Due and Solberg, Rune. (2024).
Isdekningsgrad på innsjøer fra SLSTR med dyp læring.
Norsk Regnesentral. BAMJO/06/24. 26 S.
NVA Report
Trier, Øivind Due; Reksten, Jarle Hamar and Solberg, Rune. (2024).
Validering og evaluering av FSC. Delprosjekt for snø og is i NVE Copernicus 2.
Norsk Regnesentral. BAMJO/07/24. 84 S.
NVA Report
Solberg, Rune and Rudjord, Øystein. (2024).
Retrieval of snow surface properties from optical satellite data by snow surface spectrum radiative transfer modelling. Oregon State University
Western Snow Conference. 22–25. april 2024. Corvallis. Oregon.
NVA Scientific lecture
Stokholm, Andreas; Buus-Hinkler, Jørgen; Wulf, Tore; Korosov, Anton; Saldo, Roberto; Pedersen, Leif Toudal; Arthurs, David; Dragan, Ionut; Modica, Iacopo; Pedro, Juan; Debien, Annekatrien; Chen, Xinwei; Patel, Muhammed; Cantu, Fernando Jose Pena; Turnes, Javier Noa; Park, Jinman; Xu, Linlin; Scott, Katharine Andrea; Clausi, David Anthony; Fang, Yuan; Jiang, Mingzhe; Taleghanidoozdoozan, Saeid; Brubacher, Neil Curtis; Soleymani, Armina; Gousseau, Zacharie; Smaczny, Michał; Kowalski, Patryk; Komorowski, Jacek; Rijlaarsdam, David; Rijn, Jan Nicolaas Van; Jakobsen, Jens; Rogers, Martin Samuel James; Hughes, Nick; Zagon, Tom; Solberg, Rune; Longépé, Nicolas and Kreiner, Matilde Brandt. (2024).
The AutoICE Challenge.
The Cryosphere. ISSN 1994-0416 1994-0424. Vol. 18. Issue 8. S. 3471-3494.
DOI NVA Full text Academic article
Show summary
Mapping sea ice in the Arctic is essential for maritime navigation, and growing vessel traffic highlights the necessity of the timeliness and accuracy of sea ice charts. In addition, with the increased availability of satellite imagery, automation is becoming more important. The AutoICE Challenge investigates the possibility of creating deep learning models capable of mapping multiple sea ice parameters automatically from spaceborne synthetic aperture radar (SAR) imagery and assesses the current state of the automatic-seaice-mapping scientific field. This was achieved by providing the tools and encouraging participants to adopt the paradigm of retrieving multiple sea ice parameters rather than the current focus on single sea ice parameters, such as concentration. The paper documents the efforts and analyses, compares, and discusses the performance of the top-five participants’ submissions. Participants were tasked with the development of machine learning algorithms mapping the total sea ice concentration, stage of development, and floe size using a state-of-the-art sea ice dataset with dual-polarised Sentinel1 SAR images and 22 other relevant variables while using professionally labelled sea ice charts from multiple national ice services as reference data. The challenge had 129 teams representing a total of 179 participants, with 34 teams delivering 494 submissions, resulting in a participation rate of 26.4 %, and it was won by a team from the University of Waterloo. Participants were successful in training models capable of retrieving multiple sea ice parameters with convolutional neural networks and vision transformer models. The top participants scored best on the total sea ice concentration and stage of development, while the floe size was more difficult. Furthermore, participants offered intriguing approaches and ideas that could help propel future research within automatic sea ice mapping, such as applying high downsampling of SAR data to improve model efficiency and produce better results.
Gustafsson, David; Clemenzi, Ilaria; Musuuza, Jude and Solberg, Rune. (2023).
Dataset Description, AI4Arctic SnowMass Deliverable D1.
Norsk Regnesentral. BAMJO/04/23. 22 S.
NVA Report
Solberg, Rune; Reksten, Jarle Hamar; Craciunescu, Vasile and Irimescu, Anisoara. (2023).
Remote sensing of snow wetness, FPCUP WetSnow project report.
Norsk Regnesentral. BAMJO/17/23. 55 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Reksten, Jarle Hamar; Killie, Mari Anne; Eastwood, Steinar; Sørensen, Atle; Marin, Carlo and Premier, Valentina. (2023).
CryoClim Snow Products Documentation, CryoClim snow sub-service by MET Norway and NR.
Norsk Regnesentral. BAMJO/05/23. 37 S.
NVA Report
Solberg, Rune; Kreiner, Matilde Brandt; Buus-Hinkler, Jørgen; Wulf, Tore; Stokholm, Andreas; Saldo, Roberto; Arthurs, David and Korosov, Anton. (2023).
Final Report, AI4Arctic SeaIce Deliverable D4.1.
Norsk Regnesentral. BAMJO/10/23. 22 S.
NVA Report
Solberg, Rune; Rudjord, Øystein and Trier, Øivind Due. (2023).
Harmonised snow variable retrieval for hydrological applications by reconstruction of the snow surface spectrum using radiative transfer modelling. European Space Agency
Hydrospace 2023. 27. november – 1. december 2023. Lisboa.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Killie, Mari Anne; Eastwood, Steinar; Sørensen, Atle; Marin, Carlo and Premier, Valentina. (2023).
New 38-Year Time Series of Daily, Global Fractional Snow Cover Maps. EARSeL
10th EARSeL Workshop on Land Ice and Snow. 6–8. february 2023. Bern.
NVA Scientific lecture
Trier, Øivind Due; Waldeland, Anders U. and Solberg, Rune. (2023).
Videreutvikling av skydeteksjon for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2.
Norsk Regnesentral. BAMJO/15/23. 54 S.
NVA Report
Waldeland, Anders U.; Rudjord, Øystein; Trier, Øivind Due and Solberg, Rune. (2023).
Videreutvikling av snødekningsgrad for SLSTR med dyp læring. Delprosjekt for snø og is i NVE Copernicus 2.
Norsk Regnesentral. BAMJO/14/23. 36 S.
NVA Report
Rudjord, Øystein; Solberg, Rune; Spreen, Gunnar and Gerland, Sebastian. (2022).
Estimating thin ice thickness around Svalbard using MODIS satellite imagery.
Geografiska Annaler: Series A. Physical Geography. ISSN 0435-3676 1468-0459. Vol. 104. Issue 2. S. 127-149.
DOI NVA Academic article
Show summary
Information about the state of the Arctic sea ice is becoming increasingly important. This paper describes an approach for automatic retrieval of daily thin sea ice thickness maps around Svalbard. The algorithm uses thermal satellite imagery from MODIS to estimate the surface temperature of the ice and further uses a thermal model of the ice surface to estimate the thickness of the sea ice. The approach is usable for thin sea ice, up to ca. 50 cm thick, during cold weather (freezing) conditions and without cloud cover present. The algorithm is compared with helicopter-borne electromagnetic ice thickness measurements. The comparison yields increasing root-mean-square deviation (RMSD) for thicker ice. The lowest RMSD found is 8.7 cm for ice thickness in the range 10 cm < hi ≤ 20 cm. The highest RMSD found is 25.2 cm for ice thickness in the range 30 cm < hi ≤ 40 cm. The bias shows no such trend, and the overall bias is found to be −5.5 cm. The results show that this is a promising approach, allowing monitoring of thin sea ice thickness at relatively higher spatial resolution.
Solberg, Rune and Trier, Øivind Due. (2022).
Sentinel for snow surface hoar mapping. Sentinel4SurfaceHoar project results.
Norsk Regnesentral. SAMBA/04/22. 72 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Killie, Mari Anne; Eastwood, Steinar and Sørensen, Atle. (2022).
A new 38-year time series of daily, global fractional snow cover maps. University of Alaska Fairbanks
16th International Circumpolar Remote Sensing Symposium. 16–20. may 2022. Fairbanks.
NVA Scientific lecture
Solberg, Rune; Reksten, Jarle Hamar; Craciunescu, Vasile and Irmescu, Anisoara. (2022).
WetSnow processing chain. WetSnow project report no. 1.
Norsk Regnesentral. SAMBA/06/22. 34 S.
NVA Report
Thorarinsdottir, Thordis Linda; Solberg, Rune; Lenkoski, Alex and Roksvåg, Thea. (2022).
Potensialet i data. -
NFR og KLD frokostmøte: Data og datadeling. 29. september 2022.
NVA Lecture
Solberg, Rune; Reksten, Jarle Hamar; Waldeland, Anders U. and Salberg, Arnt Børre. (2021).
Snow Product User Guide. AI4Arctic guide to snow products V1.
Norsk Regnesentral. SAMBA/15/21. 26 S.
NVA Report
Solberg, Rune; Reksten, Jarle Hamar; Trier, Øivind Due; Waldeland, Anders U.; Meldvold, Kjetil and Orthe, Nils Kristian. (2021).
Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 3.
Norsk Regnesentral. SAMBA/37/21. 62 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Waldeland, Anders U.; Reksten, Jarle Hamar; Trier, Øivind Due; Kreiner, Matilde Brandt; Wulf, Tore; Pedersen, Leif Toudal and Stokholm, Andreas. (2021).
Final report. AI4Arctic Deliverable 6.
Norsk Regnesentral. SAMBA/19/21. 78 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre and Reksten, Jarle Hamar. (2021).
A new climate snow cover record based on ATSR-2 and AATSR. EUMETSAT
EUMETSAT 2021 Conference. 20–24. september 2021.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Reksten, Jarle Hamar; Killie, Mari Anne; Eastwood, Steinar and Sørensen, Atle. (2021).
Development of a new 38-year time series of daily, global fractional snow cover products based on fusion of optical and passive microwave radiometer data. European Space Agency
From Science to Operations for Copernicus Imaging Microwave Radiometer (CIMR) Mission. 11–12. may 2021.
NVA Scientific lecture
Solberg, Rune; Salberg, Arnt Børre and Trier, Øyvind Due. (2021).
Bruker kunstig intelligens for å oppdage forurensning og naturforringelse.
29. december 2021.
NVA Interview
Trier, Øivind Due; Waldeland, Anders U. and Solberg, Rune. (2021).
Automatisk skydeteksjon i Sentinel-3 SLSTR satellittbilder med U-Net. Første resultater.
Norsk Regnesentral. SAMBA/26/21. 146 S.
NVA Report
Rudjord, Øystein; Trier, Øivind Due; Solberg, Rune and Hughes, Nick. (2020).
Sentinel4ThinIce Phase 2 WP8: Diagnosis and correction of possible underestimated ice thickness. Sentinel4ThinIce project report 2020.
Norsk Regnesentral. SAMBA/15/20. 24 S.
NVA Report
Melvold, Kjetil; Rudjord, Øystein and Solberg, Rune. (2020).
Utvikling av operasjonell Snøtjeneste og Innsjøistjeneste hos NVE. Norsk Romsenter
Ny Copernicus-periode. Infodag. 22. october 2020. webinar.
NVA Scientific lecture
Salberg, Arnt Børre; Waldeland, Anders U.; Solberg, Rune; Malmgren-Hansen, David; Pedersen, Leif Toudal and Kreiner, Matilde Brandt. (2020).
Software package: AI4Arctic Deliverable 4.
Norsk Regnesentral. SAMBA/47/20. 26 S.
NVA Report
Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar and Ramfjord, Hallvard. (2020).
SEN4POL – Towards a Sentinel-based pollen information service. Norge digitalt
Faggruppe satellittdata workshop. 7. september 2020. Online.
NVA Scientific lecture
Schneider, Philipp; Hamer, Paul David; Vogt, Matthias; Trier, Øivind Due; Solberg, Rune; Skogesal, Hogne; Brobakk, Trond Einar and Ramfjord, Hallvard. (2020).
SEN4POL – Towards a Sentinel-based pollen information service. Norwegian Space Agency
Copernicus Day of the Norwegian Space Agency. 22. october 2020. Online.
NVA Scientific lecture
Solberg, Rune; Trier, Øivind Due and Rudjord, Øystein. (2020).
Remote Sensing of Snow Properties with Sentinel-3 versus MODIS. University of Bern
9th EARSeL workshop on Land Ice and Snow. 3–5. february 2020. Bern.
NVA Scientific lecture
Solberg, Rune. (2020).
Flomtjenesten. Norsk Romsenter
Ny Copernicus-periode. Infodag. 22. october 2020. Oslo.
NVA Lecture
Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Rasmussen, Gunnar; Kaljord, Andreas Hay and Jacobsen, Joakim. (2020).
Design and development toward a global flood monitoring product. GlobFlom report.
Norsk Regnesentral. SAMBA/49/20. 68 S.
NVA Report
Kreiner, Matilde Brandt; Pedersen, Leif Toudal; Solberg, Rune; Trier, Øivind Due; Reksten, Jarle Hamar; Rudjord, Øystein and Gustavsson, David. (2020).
Dataset and data policy. AI4Arctic Deliverable 3.
Norsk Regnesentral. SAMBA/32/20. 44 S.
NVA Report
Solberg, Rune. (2020).
Project management plan. AI4Arctic Deliverable 0.
Norsk Regnesentral. SAMBA/14/2020. 20 S.
NVA Report
Waldeland, Anders U.; Reksten, Jarle Hamar; Salberg, Arnt Børre; Solberg, Rune; Pedersen, Leif Toudal; Malmgren-Hansen, David and Kreiner, Matilde Brandt. (2020).
ICT requirements and API. AI4Arctic Deliverable 2.
Norsk Regnesentral. SAMBA/20/20. 24 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Waldeland, Anders U.; Kreiner, Matilde Brandt; Pedersen, Leif Toudal; Malmgren-Hansen, David; Korosov, Anton and Gustafsson, David. (2020).
Mid-term report. AI4Arctic Deliverable 5.
Norsk Regnesentral. SAMBA/39/20. 38 S.
NVA Report
Solberg, Rune; Waldeland, Anders U.; Salberg, Arnt Børre; Kreiner, Matilde Brandt; Pedersen, Leif Toudal and Malmgren-Hansen, David. (2020).
Problem statement and methodologies. AI4Arctic Deliverable 1.
Norsk Regnesentral. SAMBA/18/20. 46 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Reksten, Jarle Hamar and Trier, Øivind Due. (2020).
Multi-sensor multi-temporal FSC 2017-2020 dataset. S4S multi-FSC prototype products to EDI, Version 2.0.
Norsk Regnesentral. SAMBA/24/20. 30 S.
NVA Report
Schneider, Philipp; Hamer, Paul David; Trier, Øivind Due; Solberg, Rune; Ramfjord, Hallvard; Brobakk, Trond Einar and Skogesal, Hogne. (2019).
SEN4POL Phase-1: Final Scientific Report.
Norsk institutt for luftforskning. 40 S.
NVA Report
Solberg, Rune and Trier, Øivind Due. (2019).
Mapping snow surface hoar by optical remote sensing.
International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows. 3–5. april 2019. Siglufjörður.
NVA Poster
Rudjord, Øystein; Solberg, Rune; Reksten, Jarle Hamar and Trier, Øivind Due. (2019).
Monitoring lake ice cover with Sentinel-3.
ESA Living Planet Symposium. 13–17. may 2019. Milano.
NVA Scientific lecture
Reksten, Jarle Hamar; Salberg, Arnt Børre and Solberg, Rune. (2019).
System for deteksjon og kartlegging av flom basert på SAR.
Norsk Regnesentral. SAMBA/11/19. 20 S.
NVA Report
Rudjord, Øystein; Solberg, Rune; Trier, Øivind Due and Hughes, Nick. (2019).
Monitoring Thin Sea Ice Thickness with Sentinel-3.
IGS International Symposium on Sea Ice at the Interface. 19–23. august 2019. Winnipeg.
NVA Poster
Solberg, Rune; Trier, Øivind Due and Rudjord, Øystein. (2019).
Remote sensing of snow properties with Sentinel-3.
Nordic Remote Sensing Conference. 17–19. september 2019. Århus.
NVA Scientific lecture
Reksten, Jarle Hamar; Salberg, Arnt Børre and Solberg, Rune. (2019).
Flood detection in Norway based on Sentinel-1 SAR imagery.
International Archives of Photogrammetry. Remote Sensing and Spatial Information Sciences (ISPRS Archives). ISSN 1682-1750 2194-9034. Vol. XLII-3/W8. S. 349-355.
DOI NVA Academic article
Show summary
After large flood incidents in Norway, The Norwegian Water Resources and Energy Directorate (NVE), has the responsibility for documenting the flooded areas. This has so far mainly been performed by utilising aerial images and visual interpretation. Satellite images are a valuable source of additional information as they are able to cover vast areas in each satellite pass. In this paper a fully automated system for detecting and delineating floods with the use of Synthetic Aperture Radar (SAR) images from the Sentinel-1 satellites is presented. In SAR images wet areas and water bodies usually show lower backscatter than dry areas. The flood detection system is thus based on comparing a reference image acquired before the flood with the flood event image. A Sentinel-1 training dataset has been obtained and manually annotated by NVE from three flood events in Norway. This training set has been used to train a random forest (RF) classifier, which outputs a score for each pixel in the SAR image. This score image is thresholded in order to obtain a crude flood detection. Unfortunately, changes in the backscatter may also be triggered by other events such as melting snow and harvested fields of crops. To mitigate such lookalikes, several techniques have been implemented and tested. This includes masking based on size, slope and height above nearest drainage (HAND). The experiments presented show that the system performance is very good. Of the 179 manually labelled flood objects, 168 are detected. The system is being applied operationally at NVE.
Rudjord, Øystein; Trier, Øivind Due; Solberg, Rune and Hughes, Nick. (2019).
Sentinel4ThinIce Phase 2. Thin ice thickness retrieval with Sentinel-3.
Norsk Regnesentral. SAMBA/53/19. 27 S.
NVA Report
Rudjord, Øystein; Reksten, Jarle Hamar; Solberg, Rune; Trier, Øivind Due and Melvold, Kjetil. (2019).
Utvikling av operasjonell innsjøistjeneste hos NVE: Resultater fra prosjektfase 2.
Norsk Regnesentral. SAMBA/45/19. 56 S.
NVA Report
Salberg, Arnt Børre; Luojus, Kari; Derksen, Chris; Marin, Carlo; Solberg, Rune; Schwaizer, Gabriele and Nagler, Thomas. (2019).
ESA CCI+ Snow ECV: End-to-End ECV Uncertainty Budget, verson 1.0.
European Space Agency. 26 S.
NVA Report
Salberg, Arnt Børre; Reksten, Jarle Hamar and Solberg, Rune. (2019).
Algorithms for flood detection and mapping by SAR. Algorithm Theoretical Basis Document, Flood Service System at NVE.
Norsk Regnesentral. SAMBA/10/19. 24 S.
NVA Report
Solberg, Rune; Reksten, Jarle Hamar; Trier, Øivind Due; Melvold, Kjetil and Orthe, Nils Kristian. (2019).
Utvikling av operasjonell snøtjeneste ved NVE. Resultater fra prosjektfase 2.
Norsk Regnesentral. SAMBA/52/2019. 50 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Kristensen, Søren Elkjær; Orthe, Nils Kristian and Sund, Monica. (2019).
Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase 3.
Norsk Regnesentral. SAMBA/09/2019. 42 S.
NVA Report
Solberg, Rune and Salberg, Arnt Børre. (2019).
Landslide detection and mapping by remote sensing. Association of Chartered Engineers in Iceland (VFI)
International Symposium on Mitigative Measures against Snow Avalanches and Other Rapid Gravity Mass Flows. 3-5 April 2019,. 3–5. april 2019. Siglufjörður.
NVA Scientific lecture
Solberg, Rune; Reksten, Jarle Hamar; Trier, Øivind Due; Melvold, Kjetil; Orthe, Nils Kristian and Nilsen, Sven-Erik. (2018).
Utvikling av operasjonell snøtjeneste hos NVE. Resultater fra prosjektfase 1.
Norsk Regnesentral. SAMBA/19/18. 46 S.
NVA Report
Solberg, Rune. (2018).
Snow products and services under development by the Norwegian Computing Center. European Environment Agency
Copernicus Snow and Ice Monitoring Workshop. 24–25. january 2018. Købehavn.
NVA Lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Reksten, Jarle Hamar; Killie, Mari Anne; Eastwood, Steinar and Breivik, Lars-Anders. (2018).
Local and regional trends in snow cover from a 34-year time series of satellite observations. Alfred Wegener Institute
15th International Circumpolar Remote Sensing Symposium (ICRSS). 10–14. september 2018. Potsdam.
NVA Scientific lecture
Solberg, Rune; Trier, Øivind Due; Rudjord, Øystein and Reksten, Jarle Hamar. (2018).
A portfolio of snow products based on Sentinel-3 for snow hydrology. Universität Heidelberg
SnowHydro – International Conference on Snow Hydrology. 12–15. february 2018. Heidelberg.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Killie, Mari Anne; Reksten, Jarle Hamar; Steinar, Eastwood and Breivik, Lars-Anders. (2018).
Local and regional trends in snow cover from a 34-year time series of satellite observations. EUMETSAT
2018 EUMETSAT Meteorological Satellite Conference. 17–21. september 2018. Tallinn.
NVA Poster
Rudjord, Øystein; Hamar, Jarle Bauck; Solberg, Rune; Trier, Øivind Due and Melvold, Kjetil. (2018).
Utvikling av operasjonell innsjøistjeneste hos NVE. Resultater fra prosjektfase 1.
Norsk Regnesentral. SAMBA/20/18. 37 S.
NVA Report
Solberg, Rune; Rudjord, Øystein and Trier, Øivind Due. (2018).
Single- and multi-sensor snow-cover mapping from Sentinel-3 and Sentinel-1.
Norsk Regnesentral. SAMBA/43/18. 60 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre and Reksten, Jarle Hamar. (2018).
Further advancement of global snow mapping in CryoClim. Sentinel4CryoClim Phase 2 - Deliverables 1, 3-7.
Norsk Regnesentral. SAMBA/44/18. 82 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Trier, Øivind Due; Rudjord, Øystein; Stancalie, Gheorghe; Diamandi, Andrei; Irimescu, Anisoara and Craciunescu, Vasile. (2017).
Remote sensing of snow wetness in Romania by Sentinel-1 and Terra MODIS data.
Romanian Journal of Physics. ISSN 1221-146X. Vol. 62. Issue 821.
NVA Academic article
Show summary
Snow monitoring is essential for prediction of flooding due to rapid snowmelt, to provide snow avalanche risk forecasts and for water resource management – including hydropower production, agriculture, groundwater and drinking water. Sentinel-1 C-band SAR is sensitive to presence of wet snow and can be used to binary snow-wetness classification. Wet-snow mapping into more categories has been demonstrated in the past by using MODIS data. The combination of surface temperature and the temporal development of the effective snow grain size are used to infer approximately how wet the snow is.
Solberg, Rune; Rudjord, Øystein and Trier, Øivind Due. (2017).
Developing an approach for satellite observations of black carbon in snow surfaces in the Arctic. University of Iceland
International Conference on High Latitude Dust 2017. 20–25. may 2017. Reykjavik.
NVA Scientific lecture
Mihailescu, Denis; Solberg, Rune; Stancalie, Gheorghe; Irimescu, Anisoara; Nertan, Argentina; Salberg, Arnt Børre; Trier, Øivind Due; Craciunescu, Vasile; Catana, Simona and Angearu, Claudiu. (2017).
Multi-sensor wet snow product (MWS) from Sentinel-1 and Sentinel-3 vs multi-sensor wet snow product (MWS) from Sentinel-1 and MODIS. West University of Timisoara
19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing. 21–24. september 2017. Timisoara.
NVA Scientific lecture
Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Trier, Øivind Due; Sund, Monica; Colleuille, Hervé; Kristensen, Søren Elkjær; Orthe, Nils Kristian and Øydvin, Eli Katrina. (2017).
Utvikling av operasjonell flomtjeneste ved NVE. Resultater fra prosjektfase nr. 1.
Norsk Regnesentral. SAMBA/07/2017. 34 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Stancalie, Gheorghe; Diamandi, Andrei and Irimescu, Anisoara. (2017).
A multi-sensor multi-temporal approach to retrieving snow surface wetness from a combination of Sentinel-1 and Sentinel-3 data. EARSeL
8th EARSeL workshop on Land Ice and Snow. 7–9. february 2017. Bern.
NVA Scientific lecture
Solberg, Rune. (2017).
Optical remote sensing of snow. Norwegian University of Science and Technology
Workshop on X-ray micro-tomography of porous ice media. 22–23. june 2017. Trondheim.
NVA Scientific lecture
Solberg, Rune; Trier, Øivind Due and Rudjord, Øystein. (2017).
Towards a portfolio of products for snow surface characterisation based on Sentinel-3. Geological Survey of Denmark and Greenland
Workshop on Modeling Meltwater in Snow and Firn: Processes. Validation. Intercomparison and Model Uses of Optical Remotely Sensed Data. 20–22. september 2017. Copenhagen.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Killie, Mari Anne; Eastwood, Steinar and Breivik, Lars-Anders. (2017).
Local and regional trends in snow cover from a 34-year time series of satellite observations. International Glaciological Society
IGS International Symposium on Polar Ice. Polar Climate. Polar Change. 14–19. august 2017. Boulder. CO.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Nertan, Argentina; Irimescu, Anisoara; Mihailescu, Denis and Stancalie, Gheorghe. (2017).
Multi-sensor/multi-temporal prototype wet snow product – Version 3, SnowBall WP3, Deliverable D3.4, Sentinel-3 extension.
Norsk Regnesentral. SAMBA/16/2017. 112 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Killie, Mari Anne; Eastwood, Steinar and Breivik, Lars-Anders. (2017).
Advancement of global snow mapping in CryoClim, Sentinel4CryoClim Phase 1, Deliverables 1-6.
Norsk Regnesentral. SAMBA/10/2017. 80 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Nertan, Argentina; Irimescu, Anisoara; Mihailescu, Denis and Stancalie, Gheorghe. (2017).
Multi-sensor/multi-temporal prototype wet snow product – Version 2, SnowBall WP3, Deliverable D3.4.
Norsk Regnesentral. SAMBA/15/2017. 34 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Reksten, Jarle Hamar; Trier, Øivind Due; Kristensen, Søren Elkjær; Orthe, Nils Kristian; Colleuille, Hervé and Sund, Monica. (2017).
Utvikling av operasjonell flomtjeneste ved NVE, Resultater fra prosjektfase 2.
Norsk Regnesentral. SAMBA/37/2017. 28 S.
NVA Report
Rudjord, Øystein; Solberg, Rune; Trier, Øivind Due; Salberg, Arnt Børre; Stăncălie, Gheorghe; Diamandi, Andrei; Irimescu, Anişoara and Craciunescu, Vasile. (2017).
Remote sensing of snow wetness using Sentinel: a multisensor approach. IGS
IGS International Symposium on Polar Ice. Polar Climate. Polar Change. 14–19. august 2017. Boulder. CO.
NVA Scientific lecture
Rudjord, Øystein; Trier, Øivind Due; Solberg, Rune and Hughes, Nick. (2017).
Sentinel4ThinIce Phase 1: Algorithm improvements, validation and intercomparison.
Norsk Regnesentral. SAMBA/34/2017. 30 S.
NVA Report
Melsheimer, Christian; Mäkynen, Marko; Rasmussen, Till Andreas Soya; Rudjord, Øystein; Similä, Markku H.; Solberg, Rune and Walker, Nick P.. (2016).
Comparison and validation of four Arctic Sea ice thickness products of the EC POLAR ICE project.
ESA SP. ISSN 0379-6566 1609-0438. Vol. SP-740.
NVA Academic article
Show summary
Sea ice thickness (SIT) is an important parameter for monitoring Arctic change, modelling and predicting weather and climate, and for navigation and offshore op- erations. However, SIT is still not very well monitored operationally. In the European Commission (EC) FP7 project “POLAR ICE”, three novel SIT products based on different satellite data as well as SIT from a state-of-the- art ocean and sea ice model are fed into a common data handling and distribution system for end users. Each SIT product has different scopes and limitations as to, e.g., spatial and temporal resolution, ice thickness range and geographical domain. The aim of this study is to com- pare the four different SIT products with each other and with SIT in-situ measurements in order to better under- stand the differences and limitations, and possibly give recommendations on how to best profit from the synergy of the different data.
Box, Jason E.; Kokhanovsky, Alexander A.; Heygster, Georg; Istomina, Larysa; Høyer, Jacob; Riihelä, Aku; Dumont, Marie; Picard, Ghislain; Solberg, Rune; Paul, Frank; Hubbard, Alun; Perovich, Don; Aoki, Teruo and Key, Jeffrey R.. (2016).
Cryospheric albedo from Sentinel-3 and -2. European Space Agency
ESA Living Planet Symposium. 9–13. may 2016. Prague.
NVA Scientific lecture
Salberg, Arnt Børre; Zortea, Maciel; Hamar, Jarle Bauck; Solberg, Rune; Sund, Monica and Colleuille, Hervé. (2016).
Preparing for a national service for flood monitoring using Sentinel-1.
ESA Living Planet Symposium. 9. may 2016.
NVA Scientific lecture
Solberg, Rune. (2016).
Vakre men livsfarlige iskrystaller.
22. march 2016.
NVA Interview
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Stancalie, Gheorghe; Diamandi, Andrei and Irimescu, Anisoara. (2016).
Single- and multi-sensor snow wetness mapping by Sentinel-1 and MODIS data. The Ohio State University
73rd Eastern Snow Conference. 14–16. june 2016. Columbus. Ohio.
NVA Scientific lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre and Killie, Mari Anne. (2016).
Status and further development of CryoClim global Snow Cover Extent product. WMO
WMO GCW 2nd Snow Watch Team Meeting. 13–14. june 2016. Columbus. Ohio.
NVA Lecture
Solberg, Rune. (2016).
Bedre prognoser ved bruk av satellittdata i kombinasjon med data fra andre kilder. Energi Norge
FlomQ – Workshop om flomestimering. 23–25. may 2016. Trondheim.
NVA Lecture
Solberg, Rune; Killie, Mari Anne; Andreassen, Liss Marie and König, Max. (2016).
Algorithms for monitoring of snow, sea ice and glaciers – the CryoClim project. European Space Agency
ESA PRODEX 30 Year Anniversary Workshop. 5–6. september 2016. Noordwijk.
NVA Lecture
Stancalie, Gheorghe; Craciunescu, Vasile; Diamandi, Andrei; Irimescu, Anisoara; Dumitrache, Catalin; Solberg, Rune; Rudjord, Øystein and Trier, Øivind Due. (2016).
Current achievements towards developing downstream services for snow monitoring in Romania. Romanian Space Agency
5th COPERNICUS Conference for the Eastern European Copernicus users and service providers. 5–6. october 2016. Bucuresti.
NVA Lecture
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Stancalie, Gheorghe; Diamandi, Andrei and Irimescu, Anisoara. (2016).
Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. West University of Timișoara
The 18th International Symposium on Symbolic and Numerical Algorithms for Scientific Computing. Geoinformatics Workshop. 24–27. september 2016. Timisoara.
NVA Scientific lecture
Walker, Nick; Fleming, Andrew; Cziferszky, Andreas; Pedersen, Leif Toudal; Rasmussen, Till; Mäkynen, Marko; Berglund, Robin; Seitsonen, Lauri; Rudjord, Øystein; Solberg, Rune; Tangen, Helge; Axell, Lars; Saldo, Roberto; Melsheimer, Christian; Larsen, Hans Eilif; Puestow, Thomas; Arthurs, David and Flach, Dominic. (2016).
Polar ice: Integrating, distributing and visualising ice information products for operators in polar waters.
ESA SP. ISSN 0379-6566 1609-0438. Vol. SP-740.
NVA Academic article
Show summary
The POLAR ICE project has developed a system for integrating and delivering satellite derived ice information products to operators working in the economically and environmentally important Arctic and Antarctic regions. POLAR ICE has been supported by the European Commission's FP7 programme and undertaken by European and Canadian companies and institutes, who are all partners in the Polar View Earth Observation Limited (PVEO) company. It is the aim of PVEO to commercialise the service that has been developed and demonstrated as a part of POLAR ICE.Access to sea ice information derived from satellite earth observation data is critical to support the increasing numbers of Arctic and Antarctic shipping and off-shore operations and to protect the rapidly changing polar environment.To-date the development of sea ice information capabilities has addressed separate elements of complete service chains. In contrast POLAR ICE has linked these separate elements together, filled in known gaps and built a robust integrated service chain.
Solberg, Rune; Rudjord, Øystein and Trier, Øivind Due. (2016).
Remote sensing of black carbon in the Arctic. BlackCarbon main project, Phase 1, Deliverables 1, 2 and 3.
Norsk Regnesentral. SAMBA/56/16. 122 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Rudjord, Øystein; Trier, Øivind Due; Stancalie, Gheorghe; Diamandi, Andrei and Irimescu, Anisoara. (2016).
Single and multi-sensor snow wetness mapping by Sentinel-1 and Sentinel-3 data. European Space Agency
ESA Living Planet Symposium. 9–13. may 2016. Prague.
NVA Poster
Solberg, Rune; Rudjord, Øystein; Trier, Øivind Due; Malnes, Eirik and Hindberg, Heidi. (2016).
Multi-sensor fractional snow cover mapping by fusion of Sentinel-1 and Sentinel-3 data. European Space Agency
ESA Living Planet Symposium. 9–13. may 2016. Prague.
NVA Poster
Malnes, Eirik; Buanes, Arild; Nagler, Thomas; Bippus, Gabriele; Gustafsson, David; Schiller, Christian; Metsämäki, Sari; Pulliainen, Jouni; Luojus, Kari; Larsen, Hans Eilif; Solberg, Rune; Diamandi, Andrei and Wiesmann, Andreas. (2015).
User requirements for the snow and land ice services - CryoLand.
The Cryosphere. ISSN 1994-0416 1994-0424. Vol. 9. Issue 3. S. 1191-1202.
DOI NVA Academic article
Show summary
CryoLand (2011–2015) is a project carried out within the 7th Framework of the European Commission aimed at developing downstream services for monitoring seasonal snow, glaciers and lake/river ice primarily based on satellite remote sensing. The services target private and public users from a wide variety of application areas, and aim to develop sustainable services after the project is completed. The project has performed a thorough user requirement survey in order to derive targeted requirements for the service and provide recommendations for the design and priorities of the service. In this paper we describe the methods used, the major findings in this user survey, and how we used the results to design and specify the CryoLand snow and land ice service. The user requirement analysis shows that a European operational snow and land ice service is required and that there exists developed cryosphere products that can meet the specific needs. The majority of the users were mainly interested not only in the snow services, but also the lake/river ice products and the glacier products were desired.
Solberg, Rune; Diamandi, Andrei and Irimescu, Anisoara. (2015).
Validation plan for remote sensing of snow wetness.
Norsk Regnesentral. SAMBA/50/15. 42 S.
NVA Report
Solberg, Rune; Rudjord, Øystein; Salberg, Arnt Børre; Trier, Øivind Due; Nertan, Argentina; Irimescu, Anisoara; Dumitrescu, Alexandru and Stăncălie, Gheorghe. (2015).
Multi-sensor/multi-temporal prototype wet snow product – Version 1.
Norsk Regnesentral. SAMBA/48/15. 48 S.
NVA Report
Solberg, Rune; Salberg, Arnt Børre; Rudjord, Øystein; Trier, Øivind Due; Irimescu, Anişoara; Catană, Simona; Mihăilescu, Denis; Dumitrescu, Alexandru and Stăncălie, Gheorghe. (2015).
Validated wet snow retrieval algorithms.
Norsk Regnesentral. SAMBA/47/15. 92 S.
NVA Report