1 1 NORWECOM in ROMS Morten D. Skogen

Slides:

Advertisements

Similar presentations

1 1 Morten D. Skogen Validation of the NORWECOM hindcast MyOcean WP7, Oslo, Febr-2011.

Advertisements

Seasonal and Interannual Variability of Peruvian anchovy Population Dynamics --progress report-- Yi Xu and Fei Chai June 2007.

Baltic Sea Research Institute Warnemünde iow iow Ecological consequences of different nutrient abatement strategies for.

Modeling Pacific Physical and Biological Processes

TRANSBOUNDARY COOPERATION EXPERIENCES IN THE VISTULA LAGOON BASIN GAINED DURING MANTRA-EAST RESEARCH PROJECT 1) MAŁGORZATA BIELECKA –

Potential Approaches Empirical downscaling: Ecosystem indicators for stock projection models are projected from IPCC global climate model simulations.

Institut universitaire europeen de la mer (iuem) Laboratoire des sciences l’environnement marin (LEMAR) Up or down: Modeling the fates and rates.

Assimilation of sea surface temperature and sea ice in HIRLAM Mariken Homleid HIRLAM/AAA workshop on surface assimilation Budapest 13 November 2007.

WP12. Hindcast and scenario studies on coastal-shelf climate and ecosystem variability and change Why? (in addition to the call text) Need to relate “today’s”

Status of the RCM climate change simulations. ERA40 driven MPIM-RCM.

A Coupled Ice-Ocean Model Based on ROMS/TOMS 2.0 W. Paul Budgell Institute of Marine Research and Bjerknes Centre for Climate Research Bergen, Norway Terrain-Following.

2005 ROMS Users Meeting Monday, October 24, 2005 Coupled sea-ice/ocean numerical simulations of the Bering Sea for the period 1996-present Enrique Curchitser.

Growth and feeding of larval cod (Gadus morhua) in the Barents Sea and the Georges Bank Trond Kristiansen, Frode Vikebø, Svein Sundby, Geir Huse, Øyvind.

Coupled physical-biogeochemical modeling of the Louisiana Dead Zone Katja Fennel Dalhousie University Rob Hetland Texas A&M Steve DiMarco.

The new ECOOP suggestion from Norway (Met.no, NERSC, IMR) Why new? Because: Too little focus on clear objectives and specific products Products and services.

A Regional Ice-Ocean Simulation Of the Barents and Kara Seas W. Paul Budgell Institute of Marine Research and Bjerknes Centre for Climate Research Bergen,

Page 1© Crown copyright 2005 ECOOP WP5 overview “Forecast Production and Information Systems” ECOOP Consensus and planning meeting March 2005.

Jędrasik J., Kowalewski M., Ołdakowski B., University of Gdansk, Institute of Oceanography Impact of the Vistula River waters on the Gulf of Gdańsk during.

1 1 Morten D. Skogen North Sea eutrophication assessment OpNet, Geilo, 27-28/

Effects of Climate Change on Marine Ecosystems David Mountain US CLIVAR Science Symposium 14 July 2008.

EMECO in an era of Climate Change Lowestoft, UK, 2-3 June, 2009.

Transitioning a Chesapeake Bay Ecological Prediction System to Operations January 24, 2012 D. Green 1, C. Brown 1, F. Aikman 1, A. Siebers 1, H. Tolman.

Utilizing remote sensing, modeling and data assimilation to sustain and protect fisheries: ecological forecasting at work Francisco Chavez, M. Messie Monterey.

Utilizing Ecosystem Information to Improve Decision Support for Central California Salmon Project Acronym: Salmon Applied Forecasting, Assessment and Research.

Joint EMECO/NOOS meeting – Lowestoft – 2-3 June 2009 Some Norwegian activities relevant to EMECO and to the implementation of the MSFD Dominique Durand.

Oceanic and Atmospheric Modeling of the Big Bend Region Steven L. Morey, Dmitry S. Dukhovksoy, Donald Van Dyke, and Eric P. Chassignet Center for Ocean.

MAMA Malta meeting, January 2004 Expert Meeting Towards Operational ecological models in coastal areas

Meteorologisk institutt met.no LEO Long-term effects of oil accidents on the pelagic ecosystem of the Norwegian and Barents Seas Yvonne Gusdal.

Presentation to Marine Strategy Coordination Group (MSCG) J Icarus Allen (on behalf of the MEECE consortium) 22 th February 2012 Brussels

Ocean and sea-ice data assimilation and forecasting in the TOPAZ system L. Bertino, K.A. Lisæter, I. Kegouche, S. Sandven NERSC, Bergen, Norway Arctic.

Potential benefits from data assimilation of carbon observations for modellers and observers - prerequisites and current state J. Segschneider, Max-Planck-Institute.

Meteorologisk Institutt met.no Operational ocean forecasting in the Arctic (met.no) Øyvind Saetra Norwegian Meteorological Institute Presented at the ArcticGOOS.

1 1 Jon Albretsen, Anne D. Sandvik and Lars Asplin NorKyst-800: A high-resolution coastal ocean circulation model for Norway St Augustine, Florida, 7-9.

Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.

Anoxia in Narragansett Bay Can we predict it?.

Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.

Arctic Operational Oceanography at IMR Einar Svendsen Arctic GOOS planning meeting, September 2006 at NERSC, Bergen.

Department of Physical Oceanography Lab of Remote Sensing and Spatial Analysis Lab of Sea Dynamic.

Status and plans for assimilation of satellite data in coupled ocean-ice models Jon Albretsen and Lars-Anders Breivik.

Validation of decadal simulations of mesoscale structures in the North Sea and Skagerrak Jon Albretsen and Lars Petter Røed.

S. 1 Pilot study 2: Assessment of sediment traps.

An air quality information system for cities with complex terrain based on high resolution NWP Viel Ødegaard, r&d department.

Ecosystem intercomparison between Nordic Seas and NW Atlantic US PIs: G. Lough, L. Buckley, D. Mountain, M. Fogarty, T. Durbin, C. Werner Norwegian counterparts:

Dispersion conditions in complex terrain - a case study of the January 2010 air pollution episode in Norway Viel Ødegaard Norwegian Meteorological.

Environmental surveys of the Nordic, North, and Barents Seas - by the Institute of Marine Research, Norway Webjørn Melle.

Analysis of four decadal simulations of the Skagerrak mesoscale circulation using two ocean models Lars Petter Røed 1 and Jon Albretsen 2 Presented at.

1 1 Morten D. Skogen WP10: Hindcast and scenario studies on coastal- shelf climate and ecosystem variability and change Overview and plans ECOOP annual.

Climate-related changes simulated with a three-dimensional coupled biogeochemical- physical model of the Baltic Sea Markus Meier*/**, Kari Eilola*

Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.

Sea ice modeling at met.no Keguang Wang Norwegian Meteorological Institute.

Operational fish larval drift modelling Bjørn Ådlandsvik og Frode Vikebø Institute of Marine Research Opnet meeting, Geilo, May 2008.

Uncertainty assessment of state- of-the-art coupled physical- biogeochemical models for the Baltic Sea BONUS Annual Conference 2010 Presentation: Kari.

Contributions from: Norwegian Meteorological Institute(met.no) Norwegian Meteorological Institute(met.no) Geophysical Institute, University of Bergen(GfI-UiB)

MyOcean2 First Annual Meeting – April 2013 WP 06 MONITORING & FORECASTING CENTRE for ARCTIC Laurent Bertino, NERSC MyOcean2 First Annual Meeting.

OMSAP Public Meeting September 1999 Benthic Nutrient Cycling in Boston Harbor and Massachusetts Bay Anne Giblin, Charles Hopkinson & Jane Tucker The Ecosystems.

Visualization of High Resolution Ocean Model Fields Peter Braccio (MBARI/NPS) Julie McClean (NPS) Joint NPS/NAVOCEANO Scientific Visualization Workshop.

WP 9 Ecosystem modelling and data assimilation The overall objective is to improve forecasts of the pre-operational systems with quantitative evaluation.

Ecosystem Studies of Sub-Arctic Seas (ESSAS) and Bering Sea Ecosystem Study (BEST) A Basis for Cooperative Norwegian - United States Research on Sustainable.

WISE and WISE-Marine Water Information System for Europe and Water Information System for Europe (coming in 2010 with Marine data to a web- site near you)

Application of remote sensing data to environmental monitoring, assessment and planning Oikon Green Infrastructure Ltd. Gekom – Geophysical and ecological.

The Mohn-Sverdrup Center’s planned scientific program by Ola M. Johannessen, Laurent Bertino and Geir Evensen Opening 20th of October 2004.

THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.

Mohn-Sverdrup Inauguration Seminar, 20 October 2004 Copyright 20©02, NERSC/lhp Monitoring the Norwegian Coastal Zone Environment by Johnny A. Johannessen.

Anton Eliassen, Lars Petter Røed and Øyvind Sætra

DHI Water and Environment

Modelling Tunisia Marine Ecosystems

D. Green1, C. Brown1, F. Aikman1, A. Siebers1, H. Tolman1, M. Ji1, D

Data aggregation and products generation in the Norwegian and Barents Seas Ann Kristin Østrem Institute of Marine Research, Norway.

The effect of ship Nox deposition on cyanobacteria blooms

Generation of data products in the Norwegian and Barents Seas

Presentation transcript:

1 1 NORWECOM in ROMS Morten D. Skogen

2 2 Outline of talk The NORWECOM model system Norwegian/Barents Sea examples Future works…

3 3 NORWECOM The NORWegian ECOlogical Model system A coupled physical-chemical-biological model system applied to study primary production and dispersion of particles (e.g. fish larvae and/or pollution) Main partners: Institute of Marine Research Dept. of Fisheries and Marine Biology, Univ. of Bergen Dept. of Mathematics, Univ of Bergen The Norwegian Meteorological institute

4 4 NORWECOM (2) first coupled physical-chemical-biological model for the whole North Sea physics based on POM (until now….?) runs operational (7 days forecast) at met.no environmental status, eutrophication issues, what- if scenarios, climate/fish relations,….. North Sea, Skagerrak/Kattegat, Norwegian fjords, Benguela, Mozambique Channel

5 5 NORWECOM (3) Primary production Respiration Algae death Regeneration Self shading Turbidity Sedimentation Resuspension Denitrification Diatoms, flagellates (chatonella) Detritus and diatom skeletals Inorganic nitrogen, phosphorus, silicate Oxygen Light model

6 6 The biological model

7 7 NORWECOM (4) Physics from ROMS v2.0 including ice (W.P.Budgell, IMR) 50km resolution in Nordic and Barents Seas Forced by NCEP daily mean fluxes Biology in offline mode Examples from 1999

8 8 Outline of talk The NORWECOM model system Norwegian/Barents Sea examples Future works…

9 9 The model domain (165x203x30) Norwegian Sea Barents Sea North Sea Bergen/Norway Venice

10 Mean annual 50m circulation

11 Mean annual 50m salinity

12 Mean annual 50m temperature

13 Annual primary production (gC/m2)

14 Day to day variability Norwegian SeaBarents Sea DIA FLA

15 Timing of peak production DIATOMSFLAGELLATESTOTAL June 15 May 15 April 15

16 (Near) future works 20 km horizontal resolution Hindcast simulations Model validation Deliver results to IBM Calanus model and to herring migration model