Nils Melsom Kristensen

ORCID: 0000-0002-2494-6509
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Climate variability and models
  • Hydrological Forecasting Using AI
  • Arctic and Antarctic ice dynamics
  • Methane Hydrates and Related Phenomena
  • Ocean Waves and Remote Sensing
  • Cryospheric studies and observations
  • Parasite Biology and Host Interactions
  • Coastal and Marine Dynamics
  • Ship Hydrodynamics and Maneuverability
  • Marine and fisheries research
  • Maritime Transport Emissions and Efficiency
  • Fish Ecology and Management Studies
  • Geophysics and Gravity Measurements
  • Geological formations and processes
  • Bird parasitology and diseases
  • Marine and coastal ecosystems
  • Identification and Quantification in Food

Norwegian Meteorological Institute
2015-2024

The Norwegian government has decided that the aquaculture industry shall grow, provided growth is environmentally sustainable. Sustainability scored based on mortality of wild salmonids caused by parasitic salmon lice. Salmon lice infestation pressure traditionally been monitored through catching sea trout and Arctic char using nets or traps trawling after Atlantic postsmolts. However, due to mainland coastline nearly 25 000 km, complementary methods may be used in order give complete...

10.1371/journal.pone.0201338 article EN cc-by PLoS ONE 2018-07-31

Storm surges can give rise to extreme floods in coastal areas. The Norwegian Meteorological Institute (MET Norway) produces 120-hour regional operational storm surge forecasts along the coast of Norway based on Regional Ocean Modeling System (ROMS), using a model setup called Nordic4-SS. Despite advances development models and computational capabilities, forecast errors remain large enough impact response measures issued alerts, particular, during strongest events. Reducing these will...

10.1016/j.ocemod.2024.102334 article EN cc-by Ocean Modelling 2024-02-02

Abstract. An operational ocean and sea ice forecast model, Barents-2.5, is implemented for short-term forecasting at the coast off northern Norway, Barents Sea, waters around Svalbard. Primary parameters are concentration (SIC), surface temperature (SST), currents. The model also provides input data drift modeling of pollutants, icebergs, search-and-rescue applications in Arctic domain. Barents-2.5 has recently been upgraded to include an ensemble prediction system with 24 daily realizations...

10.5194/gmd-16-5401-2023 article EN cc-by Geoscientific model development 2023-09-22

Abstract Observations from the past decades have promoted idea of a long-lived anticyclonic vortex residing in Lofoten Basin. Despite repeatedly recorded intense anticyclones, observations cannot firmly decide whether signature is single or succession ephemeral vortices. A persisting for requires some reinvigoration mechanism. Wintertime convection and merging been proposed candidates. We examine Basin dynamics using high-resolution regional ocean model. The model initialized coarser state...

10.1175/jpo-d-20-0029.1 article EN Journal of Physical Oceanography 2020-08-18

Abstract We consider the Norwegian Meteorological Institute’s system regarding daily forecasts of water level, and warnings possible dangerous level events along coast. The consists three parts, production forecasts, a decision support system, for dissemination to key users general public. Included is brief description forecasting model parallel ensemble prediction an assessment produced by them. Based on models year period we find that they provide sufficiently trustworthy levels purpose at...

10.1007/s10652-022-09871-4 article EN cc-by Environmental Fluid Mechanics 2022-06-07

Multi-model ensembles for sea surface temperature (SST), salinity (SSS), currents (SSC), and water transports have been developed the North Sea Baltic using outputs from several operational ocean forecasting models provided by different institutes. The individual differ in model code, resolution, boundary conditions, atmospheric forcing, data assimilation. are produced on a daily basis. Daily statistics calculated each parameter giving information about spread of forecasts with standard...

10.1007/s10236-015-0897-8 article EN cc-by Ocean Dynamics 2015-10-21

Abstract. An operational ocean and sea ice forecast model, Barents-2.5, is implemented at MET Norway for short-term forecasting the coast off Northern Norway, Barents Sea, waters around Svalbard. Primary parameters are concentration (SIC), surface temperature (SST), currents. The model also a substantial input drift modeling of pollutants, berg, in search-and-rescue pertinent applications Arctic domain. Barents-2.5 has recently been upgraded to include an Ensemble Prediction System with 24...

10.5194/gmd-2023-20 preprint EN cc-by 2023-03-06

The shallow-water equations are often used as a classical simplified ocean model for barotropic dynamics. same can also be to baroclinic dynamics through the reduced-gravity model. Herein, we propose utilise GPU-accelerated simulation framework representing two decoupled models each of and dynamics, use these ensemble prediction short-term drift trajectories in coastal domains. This system complementary current operational systems lightweight tool uncertainty quantification future...

10.1080/1755876x.2024.2364975 article EN cc-by Journal of Operational Oceanography 2024-06-27

Knowledge about statistics for water level variations along the coast due to storm surge is important utilization of coastal zone. An open and freely available hindcast archive covering Norway adjacent sea areas spanning time period 1979–2022 presented. The model forced by wind stress mean pressure taken from non-hydrostatic NORA3 atmospheric hindcast. A dataset consisting observations more than 90 gauges coasts North Sea Norwegian compiled quality controlled, used assess performance...

10.1016/j.ocemod.2024.102406 article EN cc-by Ocean Modelling 2024-07-25

<p>Storm surges can give rise to extreme floods in coastal areas. The Norwegian Meteorological Institute (MET Norway) produces 120-hour regional operational storm surge forecasts along the coast of Norway based on Regional Ocean Modeling System (ROMS). Despite advances development models and computational capability, forecast errors remain large enough impact response measures issued alerts, particular, during strongest events. Reducing these will positively efficiency warning...

10.5194/egusphere-egu22-2893 preprint EN 2022-03-27

A numerical fjord model for the Oslo Fjord in Norway is developed. The built on ROMS system and calculates currents hydrography fjord. In order to receive funding make sure that research will be applied outside of academia, downstream users have defined included. project FjordOs, some end were included throughout project. This caused challenges communication complex modelling issues, but also several benefits. now know more about how results may and, importantly, not applied, modellers got...

10.1109/oceanse.2019.8867303 article EN OCEANS 2019 - Marseille 2019-06-01

Storm surges can give rise to extreme floods in coastal areas. The Norwegian Meteorological Institute produces 120-hour regional operational storm surge forecasts along the coast of Norway based on Regional Ocean Modeling System (ROMS), using a model setup called Nordic4-SS. Despite advances development models and computational capabilities, forecast errors remain large enough impact response measures issued alerts, particular, during strongest events. Reducing these will positively...

10.48550/arxiv.2301.00892 preprint EN cc-by arXiv (Cornell University) 2023-01-01

A high-resolution hindcast archive around the coast of Norway spanning time period 1979-2022 is presented. The model found to perform well with forcing from NORA3 atmospheric hindcast. Observations water level gauges along coasts North Sea and Norwegian are used assess performance hindcast, which generally be in good agreement. In addition, 100-year return estimates calculated

10.48550/arxiv.2312.11585 preprint EN cc-by arXiv (Cornell University) 2023-01-01

Plastic pellets in the ocean are becoming an increasing environmental hazard all around globe [1]. Modelling of drift patterns coastal areas is a challenging task due to complex topography causing flow pattern that vary over short distances and during periods time. Due pollution, need for accurate great importance. In this project, numerical model used together with order compute statistical results on where most likely accumulate land high accuracy. The predictions compared observations...

10.1109/ieeeconf38699.2020.9389371 article EN Global Oceans 2020: Singapore – U.S. Gulf Coast 2020-10-05
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