Alle resultater i prosjektet blir publisert fortløpende på denne siden.

Tidsskriftartikler

  • F. Beiser, H, Holm, M. Sætra, N. Kristensen, K. Christensen (2024) Combining Barotropic and Baroclinic Simplified Models for Drift Trajectory Predictions, Journal of Operational Oceanography. DOI: 10.1080/1755876X.2024.2364975
  • F. Beiser, H. Holm, J. Eidsvik (2024) Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data, Quarterly Journal of the Royal Meteorological Society, 150(759), 1068–1095. DOI: 10.1002/qj.4637 [Preprint: arXiv:2302.07197].
  • A. Brodtkorb, M. Sætra (2022) Simulating the Euler equations on multiple GPUs using Python, Frontiers in Physics,10:985440. DOI:10.3389/fphy.2022.985440
  • A. Brodtkorb, H. Holm (2021) Coastal Ocean Forecasting on the GPU using a Two-Dimensional Finite Volume Scheme. Tellus A: Dynamic Meteorology and Oceanography, 73:1, 1-22, DOI: 10.1080/16000870.2021.1876341

Preprints:

  • F. Beiser, H. Holm, K. Lye, J. Eidsvik, Multi-level data assimilation for simplified ocean models. preprint

Konferanseartikler og faglige foredrag

  • H. Holm, F. Beiser (2023) Reducing Numerical Artifacts by Sacrificing Well-Balance for Rotating Shallow-Water Flow. In: Franck, E., Fuhrmann, J., Michel-Dansac, V., Navoret, L. (eds) Finite Volumes for Complex Applications X — Volume 2, Hyperbolic and Related Problems. FVCA 2023. Springer Proceedings in Mathematics & Statistics, vol 433. Springer, Cham. DOI: 10.1007/978-3-031-40860-1_19, presentert på Finite Volumes for Complex Applications 10 (FVCA 10), Strasbourg, France, 30. oktober - 3. november 2023.
  • F. Beiser, Rank Histogram Estimators for Multi-Level Data Assimilation presentert på ISDA 2023: 9th International Symposium on Data Assimilation, Bologna, Italy, 16 -20.oktober 2023
  • F. Beiser og H. Holm, Combining Barotropic and Baroclinic Simplified Models in ‘GPU Ocean’ for Drift Trajectory Predictions, presentert på Modelling seminar hos SINTEF Ocean, 10. oktober 2023.
  • F. Beiser, Handling sparse observations in ensemble-based filtering with an application to drift trajectory forecasting, presentert på EnKF Workshop 2022, Balestrand, Norge, 30. mai - 2. juni 2022.
  • J. Stiansen, Havvarsler for alle presentert på CIENS webinar 25. august – Det livsviktige vannet, se https://www.ciens.no/arrangement/ciens-webinar-25-august-det-livsviktige-vannet/ 14:59 min ut i videoen
  • F. Beiser, H. Holm, J. Eidsvik, Comparison of Ensemble-Based Data Assimilation Methods for Drift Trajectory Forecasting, presentert på The 28th Nordic Conference in Mathematical Statistics. Tromsø, Norge, 21-24. juni 2021.

Postere

  • F. Beiser, H. Holm, K. Lye, M. Sætra, Multi-level Data Assimilation: Statistical Background and Application to the Shallow-Water Model, presentert på Geilo Winter School, Geilo, Norge, 22-27. januar 2023
  • F. Beiser, H.H. Holm, J. Eidsvik, Ensemble-based Data Assimilation Methods for Drift Trajectory Forecasting, presentert på Geilo Winter School, digitalt, Norge, 2021.

Bakgrunn