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© Crown copyright Met Office Assimilation of OC-CCI data David Ford and Rosa Barciela CCI CMUG Fourth Integration meeting, 2 nd -4 th June 2014
© Crown copyright Met Office Overview Assimilate chlorophyll products into FOAM-HadOCC model Create global reanalysis for September 1997 – July 2012 Compare: Control run Assimilation of OC-CCI chlorophyll Assimilation of GlobColour chlorophyll Assess: Impact of data assimilation on biology and carbon cycle Seasonal and inter-annual variability
© Crown copyright Met Office Results
© Crown copyright Met Office Chlorophyll April 2003 Control run OC-CCI assimilation GlobColour assimilation OC-CCI observations GlobColour observations mg m -3
© Crown copyright Met Office Validation against in situ obs AMT 2003 log 10 (chlorophyll)Nitrate (mmol N m -3 ) RMSEr r Control0.980.424.420.83 GlobColour assim0.630.774.340.83 OC-CCI assim0.630.774.340.83 (vs. observations taken in surface 10 m)
© Crown copyright Met Office Validation against in situ obs SOCAT v2 (1997-2011) Surface fCO 2 (μatm) RMSEr Control37.530.60 GlobColour assim37.520.61 OC-CCI assim37.650.60 n.b. Observations where bottom depth < 150 m excluded
© Crown copyright Met Office Air-sea CO 2 flux June 2012 Climatology (Takahashi)Control run GlobColour assimOC-CCI assim Air-sea CO 2 flux (molC/m 2 /y) -2 Out of ocean | Into ocean 024
© Crown copyright Met Office Air-sea CO 2 flux Tropical Pacific mean Multivariate ENSO index sourced from: http://www.esrl.noaa.gov/psd/enso/mei/
© Crown copyright Met Office Summary and future work
© Crown copyright Met Office Summary Conclusions: OC-CCI and GlobColour chlorophyll assimilated into FOAM-HadOCC Assimilation improves model results OC-CCI and GlobColour give broadly similar results, but with interesting differences Next steps: More detailed validation Exploration of seasonal and inter-annual variability Investigate differences Future requirements from OC-CCI: Case II waters products Single sensor along-track products
© Crown copyright Met Office Questions and answers
© Crown copyright Met Office Air-sea CO 2 flux June 2008 Climatology (Takahashi)Control run GlobColour assimOC-CCI assim Air-sea CO 2 flux (molC/m 2 /y) -2 Out of ocean | Into ocean 024
© Crown copyright Met Office Tropical Atlantic Air-sea CO 2 flux MOC NAO
© Crown copyright Met Office
Near real time forecasting of biogeochemistry in global GCMs Rosa Barciela, NCOF, Met Office
1 04/2003 © Crown copyright Open Ocean Modelling of the Carbon Cycle and Air-Sea CO 2 Fluxes Science Element 3a of CASIX Steve Spall (Met Office)
Assimilating SST and Ocean Colour into ocean forecasting models Rosa Barciela, NCOF, Met Office
© Crown copyright Met Office CCI Cloud Assessment Mark Ringer, Met Office Hadley Centre CMUG 4 th Integration meeting, Exeter – June 2 nd – 4 th, 2014.
Developments within FOAM Adrian Hines, Dave Storkey, Rosa Barciela, John Stark, Matt Martin IGST, 16 Nov 2005.
© Crown copyright Met Office The impact of initial conditions on decadal climate predictions Doug Smith, Nick Dunstone, Rosie Eade, James Murphy, Holger.
Page 1© Crown copyright 2004 Data Assimilation at the Met Office Hadley Centre, Met Office, Exeter.CTCD Workshop. 8 th Nov, 2005 Chris Jones.
Use of ocean colour (GlobColour) data for operational oceanography Rosa Barciela, NCOF, Met Office Thanks to Matt Martin (Met Office) and.
Experiments with Monthly Satellite Ocean Color Fields in a NCEP Operational Ocean Forecast System PI: Eric Bayler, NESDIS/STAR Co-I: David Behringer, NWS/NCEP/EMC/GCWMB.
Page 1© Crown copyright 2004 The Uses of Marine Surface Data in Climate Research David Parker, Hadley Centre, Met Office MARCDAT-2, Met Office, Exeter,
Séverine Fournier, Nicolas Reul, Bertrand Chapron Laboratoire Océanographie Spatiale, IFREMER Joe Salisbury, Doug Vandemark University of New Hampshire,
THE CONTRIBUTIONS OF CIMAS TO THE EVOLUTION OF PRESENT NOAA AND CLIVAR CLIMATE REQUIREMENTS.
NCOF Development Workshop 2008 Assessments of Ecosystem Models using Assimilation Techniques John Hemmings, Peter Challenor, Ian Robinson & Tom Anderson.
45 th Liège Colloquium May 13 – 17, 2013 Fabian Große 1 *, Johannes Pätsch 2 and Jan O. Backhaus 2 1 Research Group Scientific Computing, Department of.
One-year re-forecast ensembles with CCSM3.0 using initial states for 1 January and 1 July in Model: CCSM3 is a coupled climate model with state-of-the-art.
Ocean-Atmosphere Carbon Flux: What to Consider Scott Doney (WHOI) ASCENDS Science Working Group Meeting (February 2012; NASA Goddard Space Flight Center)
Forecast model bias correction in ocean data assimilation G. Chepurin, Jim Carton, and D. Dee* Univ. MD and *GSFC Bias in ocean data assimilation Two-stage.
© Crown copyright Met Office NEMOVAR status and plans Matt Martin, Dan Lea, Jennie Waters, James While, Isabelle Mirouze NEMOVAR SG, ECMWF, Jan 2012.
2006 OCRT Meeting, Providence Assessment of River Margin Air-Sea CO 2 Fluxes Steven E. Lohrenz, Wei-Jun Cai, Xiaogang Chen, Merritt Tuel, and Feizhou Chen.
Monitoring of Phytoplankton Functional Types in surface waters using ocean color imagery C. Moulin 1, S. Alvain 1,2, Y. Dandonneau 3, L. Bopp 1, H. Loisel.
Changes in the Seasonal Cycle of Sea Surface Salinity from Jim Reagan 1,2, Tim Boyer 2, John Antonov 2,3, Melissa Zweng 2 1 University of Maryland.
Linking Aquarius Salinity Measurements to River Discharges and Ocean Surface Carbon Dioxide Fugacity Xiaosu Xie and W. Timothy Liu Jet Propulsion Laboratory.
Page 1© Crown copyright 2004 WP5.3 Assessment of Forecast Quality ENSEMBLES RT4/RT5 Kick Off Meeting, Paris, Feb 2005 Richard Graham.
Jon Robson (Uni. Reading) Rowan Sutton (Uni. Reading) and Doug Smith (UK Met Office) Analysis of a decadal prediction system:
Page 1© Crown copyright 2006 Matt Huddleston With thanks to: Frederic Vitart (ECMWF), Ruth McDonald & Met Office Seasonal forecasting team 14 th March.
© Crown copyright Met Office Plans for Met Office contribution to SMOS+STORM Evolution James Cotton & Pete Francis, Satellite Applications, Met Office,
Monthly Composites of Sea Surface Temperature and Ocean Chlorophyll Concentrations These maps were created by Jennifer Bosch by averaging all the data.
Quantifying the Mechanisms Governing Interannual Variability in Air-sea CO 2 Flux S. Doney & Ivan Lima (WHOI), K. Lindsay & N. Mahowald (NCAR), K. Moore.
Incorporating Satellite Time-Series data into Modeling Watson Gregg NASA/GSFC/Global Modeling and Assimilation Office Topics: Models, Satellite, and In.
VARIABILITY OF OCEAN CO 2 PARTIAL PRESSURE AND AIR-SEA CO 2 FLUXES IN THE SUBANTARCTIC ZONE OF THE SOUTHERN OCEAN J. Boutin (1), L. Merlivat (1) and K.
U.S. Eastern Continental Shelf Carbon Budget: Modeling, Data Assimilation, and Analysis U.S. ECoS Science Team* ABSTRACT. The U.S. Eastern Continental.
The Influence of Tropical-Extratropical Interactions on ENSO Variability Michael Alexander NOAA/Earth System Research Lab.
Acceleration of the sea surface fCO2 growth rate in the North Atlantic Subpolar Gyre ( ). N. Metzl, A Corbière, G. Reverdin, A.Lenton, T. Takahashi,
© Crown copyright Met Office Climate change and variability - Current capabilities - a synthesis of IPCC AR4 (WG1) Pete Falloon, Manager – Impacts Model.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
ECMWF NEMOVAR update, NEMOVAR meeting Jan ECMWF update : NEMOVAR ORA-S4 (Ocean Re-Analysis System 4) implemented operationally Based.
Page 1GMES - ENSEMBLES 2008 ENSEMBLES. Page 2GMES - ENSEMBLES 2008 The ENSEMBLES Project Began 4 years ago, will end in December 2009 Supported by.
INTRODUCTION Although the forecast skill of the tropical Pacific SST is moderate due to the largest interannual signal associated with ENSO, the forecast.
Carboocean Second Annual Meeting Session on Seasonal and Interannual Variations of Air-Sea CO2 Flux.... in the Southern Ocean N.Metzl, LOCEAN-IPSL thanks.
Winter Outlook for the Pacific Northwest: Winter 06/07 14 November 2006 Kirby Cook. NOAA/National Weather Service Acknowledgement: Climate Prediction Center.
FCO 2 in the Ecuatorial and North Subtropical Atlantic X.A. Padin, Marcos Vázquez-Rodríguez, Fiz F. Pérez, Aida F.Ríos CSIC, Instituto de Investigaciones.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Interannual Variability of North American Summer Precipitation in NASA/NSIPP and NCAR/CAM2.0 AMIP Simulations By Alfredo Ruiz-Barradas and Sumant Nigam.
Interannual Variability in Summer Hydroclimate over North America in CAM2.0 and NSIPP AMIP Simulations By Alfredo Ruiz–Barradas 1, and Sumant Nigam University.
Building Bluelink David Griffin, Peter Oke, Andreas Schiller et al. March 2007 CSIRO Marine and Atmospheric Research.
Scatter plot of minimum pressure and maximum azimuthal wind for Atlantic and Eastern Pacific tropical cyclones ( Hurricane Isaac 2012 [red]).
My Agenda for CFS Diagnostics Ancient Chinese proverb: “ Even a 9-month forecast begins with a single time step.” --Hua-Lu Pan.
Seasonal Climate Predictability over NAME Region Jae-Kyung E. Schemm CPC/NCEP/NWS/NOAA NAME Science Working Group Meeting 5 Puerto Vallarta, Mexico Nov.
Salinity from space Past, present and yet to come Chris Banks Christine Gommenginger Meric Srokosz Helen Snaith Chris Banks Christine Gommenginger.
The Global Ocean Carbon Cycle Rik Wanninkhof, NOAA/AOML Annual OCO review, June 2007: Celebrating Our Past, Observing our Present, Predicting our Future:
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