Martin Lilleeng Sætra

Scientific publications

Tedesco, Paulina Souza; Rabault, Jean; Sætra, Martin Lilleeng ; Kristensen, Nils Melsom; Aarnes, Ole Johan; Breivik, Øyvind; Mauritzen, Cecilie; Sætra, Øyvind (2024). Bias correction of operational storm surge forecasts using Neural Networks. Ocean Modelling. Vol. 188.
https://doi.org/10.1016/j.ocemod.2024.102334

Brodtkorb, Andre ; Sætra, Martin Lilleeng (2022). Simulating the Euler equations on multiple GPUs using Python. Frontiers in Physics. Vol. 10.
https://doi.org/10.3389/fphy.2022.985440

Holm, Håvard Heitlo; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). Performance and Energy Efficiency of CUDA and OpenCL for GPU Computing using Python. 11 p. Advances in Parallel Computing. Vol. 36.
https://doi.org/10.3233/APC200089

Holm, Håvard Heitlo; Brodtkorb, André R. ; Brostrøm, Gøran; Christensen, Kai Håkon; Sætra, Martin Lilleeng (2020). Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow. Communications in Computational Physics. Vol. 27.
https://doi.org/10.4208/cicp.OA-2019-0033

Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; van Leeuwen, Peter Jan (2020). Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting. Journal of Computational Physics: X. Vol. 6.
https://doi.org/10.1016/j.jcpx.2020.100053

Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; Brodtkorb, André R. (2020). Data Assimilation for Ocean Drift Trajectories Using Massive Ensembles and GPUs. Klöfkorn, Robert; Keilegavlen, Eirik; Radu, Florin Adrian; Fuhrmann, Jurgen (Ed.). Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. p. 715-724. Springer.
https://doi.org/10.1007/978-3-030-43651-3_68

Holm, Håvard Heitlo; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). GPU Computing with Python: Performance, Energy Efficiency and Usability. 24 p. Computation. Vol. 8.
https://doi.org/10.3390/computation8010004

Sætra, Martin Lilleeng ; Brodtkorb, André R. ; Lie, Knut Andreas (2015). Efficient GPU-Implementation of Adaptive Mesh Refinement for the Shallow-Water Equations. Journal of Scientific Computing. Vol. 63.
https://doi.org/10.1007/s10915-014-9883-4

Sætra, Martin Lilleeng (2013). Shallow Water Simulation on GPUs for Sparse Domains. Cangiani, Andrea; Davidchack, Ruslan L.; Georgoulis, Emmanuil M.; Gorban, Alexander; Levesley, Jeremy; Tretyakov, Michael (Ed.). Numerical Mathematics and Advanced Applications 2011. p. 673-680. Springer.

Brodtkorb, André Rigland ; Hagen, Trond Runar; Sætra, Martin Lilleeng (2013). Graphics processing unit (GPU) programming strategies and trends in GPU computing. Journal of Parallel and Distributed Computing. Vol. 73.
https://doi.org/10.1016/j.jpdc.2012.04.003

Research reports

Holm, Håvard Heitlo; Lie, Knut-Andreas; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). Efficient Forecasting of Drift Trajectories using Simplified Ocean Models and Nonlinear Data Assimilation on GPUs. ISBN: 978-82-326-4657-9. 234 p. Norges teknisk-naturvitenskapelige universitet.
https://hdl.handle.net/11250/2652592

Dissemination

Sandberg, Tor; Sætra, Martin Lilleeng (2023). Jeg anbefaler å prøve vannet.
https://www.dagsavisen.no/nyheter/navn-i-nyhetene/

Beiser, Florian; Holm, Håvard Heitlo; Lye, Kjetil Olsen; Eidsvik, Jo; Sætra, Martin Lilleeng (2023). Multi-level Data Assimilation: Statistical Background and Application to the Shallow-Water Model. Geilo Winter School 2023. SINTEF.

Finstad Svehagen, Mai-Linn.; Sætra, Martin Lilleeng ; Brodtkorb, André R. ; Christensen, Kai Håkon; Holm, Håvard Heitlo (2022). Spillteknologi gir nye og bedre modeller av havet.
https://forskning.no/data-kart-meteorologi/spillte

Fenstad, Arne; Sætra, Martin Lilleeng (2022). Forskergruppe har kommet fram til løsning som kan gi mye raskere varsel til havs.
https://www.tu.no/artikler/forskergruppe-har-komme

Tedesco, Paulina Souza; Rabault, Jean; Sætra, Martin Lilleeng ; Kristensen, Nils Melsom; Aarnes, Ole Johan; Breivik, Øyvind; Mauritzen, Cecilie; Sætra, Øyvind (2022). Bias Correction of Operational Storm Surge Forecasts Using Neural Networks. EGU General Assembly 2022. EGU.

Berge, Erik; Dobler, Andreas; Eastwood, Steinar; Sætra, Martin Lilleeng ; Hygen, Hans Olav; Rabault, Jean (2022). Quality assurance of surface GHI data in Norway. SunPoint IEA PVPS Task 16 expert meetings . IEA PVPS - International Energy Agency Photovoltaic Power Systems Programme .

Sætra, Martin Lilleeng (2021). Havvarsel(.no). Maritim workshop. Meteorologisk institutt.

Holm, Håvard Heitlo; Brodtkorb, André R. ; Sætra, Martin Lilleeng (2020). Drift Trajectory Predictions using Massive Ensembles of Simplified Ocean Models. Geilo Winter School. SINTEF AS.

Holm, Håvard Heitlo; Sætra, Martin Lilleeng ; Brodtkorb, André R. (2020). Data Assimilation for Ocean Drift Trajectories using Massive Ensembles and GPUs. Finite Volumes for Complex Applications IX - Methods, Theoretical Aspects, Examples. NORCE.

Hysing, Ahlert; Skålin, Roar; Vignes, Ole Nikolai; Sætra, Martin Lilleeng ; Orten, Arnstein (2019). Samler krefter for bedre værmelding.