Work Package 11 Task 11.1: Towards an optimum observational network Ute Schuster, University of Exeter, UK.

Slides:

Advertisements

Similar presentations

SVINØY SECTION A full-scale ocean climate laboratory in the Norwegian Atlantic Current.

Advertisements

Introduction Objective: Develop regional ocean forecasting capability AU$15M co-investment for Phase 1 Partners: Bureau, CSIRO, Navy Launched 2003, Phase1.

ECOOP Meeting March 14-21, 2005 ECOOP WP7 Pierre-Yves LE TRAON Better use of remote sensing and in-situ observing systems for coastal/regional seas Objective.

OSE meeting GODAE, Toulouse 4-5 June 2009 Interest of assimilating future Sea Surface Salinity measurements.

Atmospheric inversion of CO 2 sources and sinks Northern Hemisphere sink Jay S. Gregg.

Environmental Data Collection Using Autonomous Wave Gliders Qing Wang, Dick Lind, Kate Hermsdorfer Meteorology Department Kevin B. Smith, Joe Rice Physics.

Oceans. Vertical ocean temperature profile Plimsoll line.

THE PHYSICAL BASIS OF SST MEASUREMENTS Validation and evaluation of derived SST products 1.To develop systematic approaches to L4 product intercomparison.

Linking Aquarius Salinity Measurements to River Discharges and Ocean Surface Carbon Dioxide Fugacity Xiaosu Xie and W. Timothy Liu Jet Propulsion Laboratory.

Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.

1 Improved Sea Surface Temperature (SST) Analyses for Climate NOAA’s National Climatic Data Center Asheville, NC Thomas M. Smith Richard W. Reynolds Kenneth.

Global Real Time Ocean Forecast System (RTOFS- Global) Team: Avichal Mehra, Ilya Rivin, Bhavani Balasubramaniam, Todd Spindler, Zulema Garaffo, Hendrik.

Acceleration of the sea surface fCO2 growth rate in the North Atlantic Subpolar Gyre ( ). N. Metzl, A Corbière, G. Reverdin, A.Lenton, T. Takahashi,

I can label the map..

The Global Ocean Carbon Cycle Rik Wanninkhof, NOAA/AOML Annual OCO review, June 2007: Celebrating Our Past, Observing our Present, Predicting our Future:

Measurements in the Ocean Peter Challenor University of Exeter and National Oceanography Centre.

Final General Assembly – Paris, France – September 19, 2014 FP7-Infra : Design studies for European Research Infrastrutures 1st October 2011.

Action ES0904 European Gliding Observatories Network (EGO) Final Symposium Simón Ruiz (Spain) Daniel Hayes (Cyprus) WG5 leaders Kiel, 16-17June 2014.

Climate 2010 Gary Strand High Performance Network Planning Workshop.

JERICO KICK OFF MEETINGPARIS – Maison de la recherche - 24 & 25 May 2011 WP9: New Methods to Assess the Impact of Coastal Observing Systems Presented by.

Modeling study of the coastal upwelling system of the Monterey Bay area during 1999 and I. Shulman (1), J.D. Paduan (2), L. K. Rosenfeld (2), S.

The role of gliders in sustained observations of the ocean Deliverable 4.1 or WP 4.

Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.

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

TOPAZ evaluation L. Bertino, F. Counillon, P. Sakov Mohn-Sverdrup Center/NERSC GODAE workshop, Toulouse, June 2009.

Progress in the implementation of the adjoint of the Ocean model NEMO by using the YAO software M. Berrada, C. Deltel, M. Crépon, F. Badran, S. Thiria.

Dataset Development within the Surface Processes Group David I. Berry and Elizabeth C. Kent.

Glider sustained observations in the Mediterranean Testor P., Heslop E., Gana S., A. Bosse, Hayes D., Ait-Ameur N., Budillon G., Gildor H., Iudicone D.,

“Toward a GOOS glider programme: Tools and methods” General Assembly.

Global, Basin and Shelf Ocean Applications of OPA An Inter-Agency Canadian Initiative EC-DFO-DND + Universities + Mercator-Ocean  CONCEPTS -- Canadian.

Sophie RICCI CALTECH/JPL Post-doc Advisor : Ichiro Fukumori The diabatic errors in the formulation of the data assimilation Kalman Filter/Smoother system.

Nadia PinardiI CMCCI Via A.Moro 44, Bologna 5 to / Oslo / Norway 2 nd General Assembly WP9- NEW METHODS TO ASSESS THE IMPACT.

ICOS, the 2012 vision Ecosystem Thematic Centre Central Cordination Office Carbon Portal (data centre) Council of Scientific Steering Institutions ICOS.

GODAE Progress on national activities France (Mercator Ocean) Eric Dombrowsky - Mercator Océan.

The Mediterranen Forecasting System: 10 years of developments (and the next ten) N.Pinardi INGV, Bologna, Italy.

WP4: fluxes in the North Atlantic : Operational: Continue delivery of VOS and time series data Set up a new VOS line France- Brazil Pirata Moorings – second.

State of the Oceans Albert Fischer OOPC-12 Paris, France, 2-5 May 2007.

Earth Systems Coupling Advanced Algorithms Worldwide Nested Applications High Performance Computing Forecast Systems User Community Advanced Data Assimilation.

Working Group on Surface Fluxes In situ issues Elizabeth Kent National Oceanography Centre, Southampton.

ECOOP annual meeting Feb 13-14, Objectives & Description. Objectives: Collect meta data and historical data for temperature and salinity measurements.

2007 Atlantic Hurricane Outlook Vice Admiral Conrad C. Lautenbacher, Jr., U.S. Navy (Ret.) Under Secretary of Commerce for Oceans & Atmosphere NOAA Administrator.

Mediterranean- Gaps and Needs Nadia Pinardi University of Bologna Istituto Nazionale di Geofisica e Vulcanologia Italy.

European Union integrated project no Variation in atmosphere-ocean fluxes of CO 2 in the Atlantic Ocean: first results from the Carbo-Ocean observing.

The I nverse R egional O cean M odeling S ystem Development and Application to Variational Data Assimilation of Coastal Mesoscale Eddies. Di Lorenzo, E.

Ocean Biological Modeling and Assimilation of Ocean Color Data Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Assimilation Objectives:

Speaker I Organism I adresse mail WP9: NEW METHODS TO ASSESS THE IMPACT OF COASTAL OBSERVING SYSTEMS Presented by Srdjan Dobricic on.

Modeling and Data Assimilation in Support of ACE Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Supporting data and publications: Google.

Oceans & Seas. Where is the Pacific Ocean? Pacific Ocean.

IGST 12 – August 2007 – St Johns GODAE-OOPC OSSE/OSE meeting Paris, November The GODAE initial requirements and a strategy for a global observing.

Verfasser/in Webadresse, oder sonstige Referenz GECCO ACTIVITIES (Armin Köhl, Nuno Sera, Nikolay Kuldenov) GECCO-2: Global (including Arctic), extension.

Filling the Gap in the Ocean Color Record Watson Gregg and Nancy Casey NASA/Global Modeling and Assimilation Office ABSTRACT A critical.

X 10 km Model Bathymetry (A)Temperature (B) Alongshore Velocity Cross-shore Velocity Figure 1: Panel (A) model grid and bathymetry. The model has closed.

Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.

Session 6 Observatories optimization and development Ute Schuster, University of Exeter, UK Jean-Francois Rolin, Ifremer, France.

1 Modeling and Forecasting for SCCOOS (Southern California Coastal Ocean Observing System) Yi Chao 1, 2 & Jim McWilliams 2 1 Jet Propulsion Laboratory,

ICE AND OCEAN ACTIVITIES

Operational Oceanography Science and Services for Europe and Mediterranean Srdjan Dobricic, CMCC, Bologna, Italy on behalf of National Group of Operational.

FP7-Infra : Design studies for European Research Infrastrutures

Nonlinear high-dimensional data assimilation

United Kingdom.

Modeling of land surface processes in La Plata Basin

Ocean Sub-Surface Observing Network

EARTH’S MOVING SURFACE

WP 11 Optimisation of ocean observing capability

Ocean currents The gulf stream.

Directions of Inquiry Given a fixed atmospheric CO2 concentration assimilation scheme, what is the optimal network expansion? Given the wide array of available.

Mid Atlantic Water Property Measurements W. S

Deep Circulation Changes in density cause ocean currents Cold Warm

A Multi-static HF Radar Network for the

Data Assimilation for the PETM 56 Million Years Ago

Presentation transcript:

Work Package 11 Task 11.1: Towards an optimum observational network Ute Schuster, University of Exeter, UK

An observational system sampling experiment (OSSE) e.g. sea surface temperature [ o C] Task 11.1: Towards an optimum observational network Ute Schuster NORTH ATLANTIC OSSE Truth is Medusa 2.0 Exists 3-dimensional on a 1 o lat / lon grid

An observational system sampling experiment (OSSE) e.g. sea surface temperature Task 11.1: Towards an optimum observational networK Ute Schuster NORTH ATLANTIC OSSE

An observational system sampling experiment (OSSE) e.g. sea surface temperature Task 11.1: Towards an optimum observational networK Ute Schuster NORTH ATLANTIC OSSE

An observational system sampling experiment (OSSE) e.g. sea surface temperature Task 11.1: Towards an optimum observational networK Ute Schuster NORTH ATLANTIC OSSE

An observational system sampling experiment (OSSE) e.g. sea surface temperature [ o C] Task 11.1: Towards an optimum observational networK Ute Schuster NORTH ATLANTIC OSSE

An observational system sampling experiment (OSSE) e.g. sea surface pCO 2 [µatm] Task 11.1: Towards an optimum observational network Ute Schuster NORTH ATLANTIC OSSE

An OSSE using moorings and gliders e.g. temperature to 150 m [ o C] Laurent Mortier, A. Alvarez, B. Mourre Task 11.1: Towards an optimum observational network Ute Schuster LIGUARIAN SEA OSSE Truth is An operational Navy Coastal Ocean model coupled to Navy Coupled Ocean Data Assimilation Around W1-3MA mooring

An OSSE using moorings and gliders e.g. temperature to 150 m [ o C] Laurent Mortier, A. Alvarez, B. Mourre Task 11.1: Towards an optimum observational network Ute Schuster LIGUARIAN SEA OSSE

An OSSE using moorings and gliders e.g. temperature to 150 m [ o C] Laurent Mortier, A. Alvarez, B. Mourre Task 11.1: Towards an optimum observational network Ute Schuster LIGUARIAN SEA OSSE

An OSSE using moorings and gliders e.g. temperature to 150 m [ o C] Laurent Mortier, A. Alvarez, B. Mourre Task 11.1: Towards an optimum observational network Ute Schuster LIGUARIAN SEA OSSE

 Full uncertainty estimation and validation  In the vertical  3-dimensional  Further models  Further OSSEs THE FUTURE Task 11.1: Towards an optimum observational network Ute Schuster