ActivityoftheJapanCoastalOcean PredictabilityExperiment -RecentprogressoftheKuroshio forecastandadownscalingstudy- TakashiKagimoto(FRCGC/JAMSTEC)
|
|
|
- Berniece Wade
- 6 years ago
- Views:
Transcription
1 ActivityoftheJapanCoastalOcean PredictabilityExperiment -RecentprogressoftheKuroshio forecastandadownscalingstudy- TakashiKagimoto(FRCGC/JAMSTEC)
2 JCOPEmember YasumasaMiyazawa(FRCGC/JAMSTEC) XinyuGuo(CMES,EhimeUniv.) HideyukiKawajiri(FRCGC/JAMSTEC) TakashiSetou(MitsubishiResearchInstitute) KoseiKomatsu(FisheriesResearchAgency) TakujiWaseda(Univ.Tokyo) HitoshiTamura(FRCGC/JAMSTEC) RuochaoZhang(FRCGC/JAMSTEC) HirofumiSakuma(FRCGC/JAMSTEC)
3 Contents Whathaveweaccomplished? newdirectionforthejcope (developmentstagetoutilizationstage) examplesofwhatwearedoing summary
4 Whathaveweaccomplished? Real-timeforecastsystem OGCM Data assimilation SST data SSH data FY2002 JPL/NAVOCEANO FY2001 FY2001 NRL FY2000 POM ARGO/ship data (T/S) FY2002-FY2003 NODC FY2001 NCEP/NCAR Reanalysis QuikSCAT FY2003 NCEP JPL
5 Nestedoceanmodel Ocean models are based on the Princeton Ocean Model (POM). Highresolution model 1/12 deg. (10km) 45 levels Lowresolution model 1/4 deg. (30km) 21 levels
6 Verticalcoordinate
7 Whathaveweaccomplished? Real-timeforecastsystem OGCM Data assimilation SST data SSH data FY2002 JPL/NAVOCEANO FY2001 FY2001 NRL FY2000 POM ARGO/ship data (T/S) FY2002-FY2003 NODC FY2001 NCEP/NCAR Reanalysis QuikSCAT FY2003 NCEP JPL
8 SSHA Dataassimilation T/P & ERS-1 Jason-1 &GFO NOAA AVHRR GTSPP SST T,S 0-400m Analysis x a Forecast Observation T S x f PH T Forecast error covariance T 1 o f HPH R y Hx Observation error covariance
9 JCOPEoficialweb-site
10 Forecastskil RMS error in surface elevation simulation assimilation
11 Forecastskil(cont.) RMS error in subsurface temperature and salinity (200m) simulation assimilation
12 Predictionofthelargemeanderin2004 6/25 8/10 obs. 6/25 initial state 8/10 forecast model
13 PresentJCOPEactivities investigatemechanismsofthekuroshio pathvariations verifythemodeloutput refinemodelphysicsandnumericalschemes seekforengineeringapplicability downscaling
14 anticycloniceddies Large meander Trigger meander Taiwan
15 Efectofanticycloniceddy(cont.) Trigger Meander Cyclonic eddy Anticyclonic eddy Forecaststartingfrom2003/10/29
16 Efectofanticycloniceddy(cont.)
17 Efectofanticycloniceddy(cont.)
18 ComparisonbetweenJCOPEreanalysisand hydrographicobservation Prompt report JCOPE reanalysis 138E Observation (Jan. 2004) JCOPE SSH JCOPE - obs.
19 Downscaling Okhotsk Sea model (Inst. low temperature science Hokkaido U.) Seto Inland Sea model (CMES, Ehime Univ.) Tokyo, Sagami, Suruga Bays model (FRCGC) Coral reef model (Tokyo Institute of Technology) 1/300 model (Suzuki 2005)
20 Anexampleofdownscaling Co-range (color) and co-tidal line (contour) (M 2 tide component) Matsumoto model (1/12 ) Our model (1/108 )
21 Anexampleofdownscaling(cont.) Co-range (color) and co-tidal line (contour) (O 1 tide component) Matsumoto model (1/12 ) Our model (1/108 )
22 Anexampleofdownscaling(cont.) Matsumoto model wb at 137.6E wb at 136.5E wb at 136E
23 An example of downscaling (cont.) Niijima Kozu Miyakejima tidal residual current 50m current field (JCOPE reanalysis)
24 Summary Wesucceededindevelopinganoceanforecast systemandprovidedtheoutputforthepublic throughourwebserver Westarttousetheoutputfornotonlyscientific purposesbutapplicationsparticularlytothe engineeringpurposes(e.g.scheduleofcommercial vesselsandjamstecdeepseadrilingvessel, Chikyu) JCOPEreanalysissuggests,basedona phenomenologicalapproach,thateitheran anticyclonicorcycloniceddymightplayarolein generatingatriggermeandersouthofkyushuis, andthatanotheranticycloniceddyenhancesthe largemeander(dynamicalapproachisneeded)
25 Summary(cont.) Whatwedidforthedownscalingisanaccurate simulationofthetidalcurentandinvestigationof itspossibleinteractionwiththekuroshio Thestate-of-the-artforecastsystemstilhas biases(hightemp.biasintheon-shoresideofthe Kuroshio,lowtemp.biasintheof-shoreside) Otherthemes(e.g.sensitivitystudiesofthe numericalmodeltophysicalparameterizationsand schemes,engineeringapplications, )arejust started.
26
27 Forecastdiagram Initial condition Observation data Climatological forcing 25days Spin-up 2 months forecast IAU (7days) reanalysis
28 ForecastoftheKuroshiopath(2005/Sep/22) Prompt report (2005/Sept/07)
29 ForecastoftheKuroshiopath(2005/Nov/09) 200m temperature sea surface temperature
30 Applicationtotheoceandriling The JCOPE output can be used for evaluation of whether the deep ocean drilling vessel, Chikyu, can be operated at an area or not.
31 Applicationtotheoceandriling
32 Exampleofensembleforecast Path variation in 1999 (Straight path to the large meander) 80days 0day 50days forecast Perturbation in the strength of anticyclonic circulation
Applications of an ensemble Kalman Filter to regional ocean modeling associated with the western boundary currents variations
Applications of an ensemble Kalman Filter to regional ocean modeling associated with the western boundary currents variations Miyazawa, Yasumasa (JAMSTEC) Collaboration with Princeton University AICS Data
Regional nested tide-resolving real-time JCOPET modeling system for coastal waters of southern Japan
2 nd International Workshop on Modeling the Ocean (IWMO) May 24-26, 2010, Norfolk, VA, USA Regional nested tide-resolving real-time JCOPET modeling system for coastal waters of southern Japan Sergey VARLAMOV
Development of a coastal monitoring and forecasting system at MRI/JMA
COSS-TT and ARCOM Development of a coastal monitoring and forecasting system at MRI/JMA N. USUI, Y. Fujii, K, Sakamoto, H. Tsujino, T. Kuragano & Masa KAMACHI Meteorological Research Institute, Japan Sept
Enhancing predictability of the Loop Current variability using Gulf of Mexico Hycom
Enhancing predictability of the Loop Current variability using Gulf of Mexico Hycom Matthieu Le Hénaff (1) Villy Kourafalou (1) Ashwanth Srinivasan (1) Collaborators: O. M. Smedstad (2), P. Hogan (2),
Overview of data assimilation in oceanography or how best to initialize the ocean?
Overview of data assimilation in oceanography or how best to initialize the ocean? T. Janjic Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Germany Outline Ocean observing system Ocean
Impact of frontal eddy dynamics on the Loop Current variability during free and data assimilative HYCOM simulations
Impact of frontal eddy dynamics on the Loop Current variability during free and data assimilative HYCOM simulations Matthieu Le Hénaff (1) Villy H. Kourafalou (1) Ashwanth Srinivasan (1) George R. Halliwell
GFDL, NCEP, & SODA Upper Ocean Assimilation Systems
GFDL, NCEP, & SODA Upper Ocean Assimilation Systems Jim Carton (UMD) With help from Gennady Chepurin, Ben Giese (TAMU), David Behringer (NCEP), Matt Harrison & Tony Rosati (GFDL) Description Goals Products
Improving the initialisation of our operational shelf-seas models
Improving the initialisation of our operational shelf-seas models Robert King James While, Matt Martin, Dan Lean, Jennie Waters, Enda O Dea, Jenny Graham NPOP May 2018 Contents 1. Recent history developments
HYCOM in the South Atlantic Bight: Performance and Client Applications
HYCOM in the South Atlantic Bight: Performance and Client Applications Brian Blanton, Alfredo Aretxabaleta Department of Marine Sciences UNC-Chapel Hill UNC Group Activities HYCOM/GODAE NOPP Provide SEACOOS
Decadal variability in the Kuroshio and Oyashio Extension frontal regions in an eddy-resolving OGCM
Decadal variability in the Kuroshio and Oyashio Extension frontal regions in an eddy-resolving OGCM Masami Nonaka 1, Hisashi Nakamura 1,2, Youichi Tanimoto 1,3, Takashi Kagimoto 1, and Hideharu Sasaki
OSE/OSSEs at NOAA. Eric Bayler NOAA/NESDIS/STAR
OSE/OSSEs at NOAA Eric Bayler NOAA/NESDIS/STAR OSE/OSSEs at NOAA NOAA Leadership view: Relatively inexpensive way to: Assess the impact of potential new observations Refine and redirect current observing
A Modeling Study on Flows in the Strait of Hormuz (SOH)
A Modeling Study on Flows in the Strait of Hormuz (SOH) Peter C Chu & Travis Clem Naval Postgraduate School Monterey, CA 93943, USA IUGG 2007: PS005 Flows and Waves in Straits. July 5-6, Perugia, Italy
Data assimilation for ocean climate studies
Data assimilation for ocean climate studies James Carton, Gennady Chepurin, Steven Penny, and David Behringer (thanks Eugenia) University of Maryland, NOAA/NCEP, College Park, MD USA Chl concentration
Assimilation of SWOT simulated observations in a regional ocean model: preliminary experiments
Assimilation of SWOT simulated observations in a regional ocean model: preliminary experiments Benkiran M., Rémy E., Le Traon P.Y., Greiner E., Lellouche J.-M., Testut C.E., and the Mercator Ocean team.
O.M Smedstad 1, E.J. Metzger 2, R.A. Allard 2, R. Broome 1, D.S. Franklin 1 and A.J. Wallcraft 2. QinetiQ North America 2. Naval Research Laboratory
An eddy-resolving ocean reanalysis using the 1/12 global HYbrid Coordinate Ocean Model (HYCOM) and the Navy Coupled Ocean Data Assimilation (NCODA) scheme O.M Smedstad 1, E.J. Metzger 2, R.A. Allard 2,
Developments to the assimilation of sea surface temperature
Developments to the assimilation of sea surface temperature James While, Daniel Lea, Matthew Martin ERA-CLIM2 General Assembly, January 2017 Contents Introduction Improvements to SST bias correction Development
Overview of the NRL Coupled Ocean Data Assimilation System
Overview of the NRL Coupled Ocean Data Assimilation System James Cummings and Rich Hodur Naval Research Laboratory, Monterey, CA HYCOM Ocean Model Workshop NCEP August 2003 Report Documentation Page Form
Demonstration and Comparison of of Sequential Approaches for Altimeter Data Assimilation in in HYCOM
Demonstration and Comparison of of Sequential Approaches for Altimeter Data Assimilation in in HYCOM A. Srinivasan, E. P. Chassignet, O. M. Smedstad, C. Thacker, L. Bertino, P. Brasseur, T. M. Chin,, F.
Nested Gulf of Mexico Modeling with HYCOM
Nested Gulf of Mexico Modeling with HYCOM Patrick J. Hogan Alan J. Wallcraft Naval Research Laboratory Stennis Space Center, MS HYCOM Meeting December 6-8, 2005 University of Miami, Miami, FL 1/25 (~4
Forecasting Tides in Global HYCOM
Forecasting Tides in Global HYCOM James G. Richman Oceanography Division Naval Research Laboratory Stennis Space Center, MS In collaboration with Brian Arbic, Univ. Michigan Joe Metzger, Jay Shriver &
The Oceanic Component of CFSR
1 The Oceanic Component of CFSR Yan Xue 1, David Behringer 2, Boyin Huang 1,Caihong Wen 1,Arun Kumar 1 1 Climate Prediction Center, NCEP/NOAA, 2 Environmental Modeling Center, NCEP/NOAA, The 34 th Annual
Impact of Argo, SST, and altimeter data on an eddy-resolving ocean reanalysis
Click Here for Full Article GEOPHYSICAL RESEARCH LETTERS, VOL. 34, L19601, doi:10.1029/2007gl031549, 2007 Impact of Argo, SST, and altimeter data on an eddy-resolving ocean reanalysis Peter R. Oke 1 and
Alexander Barth, Aida Alvera-Azc. Azcárate, Robert H. Weisberg, University of South Florida. George Halliwell RSMAS, University of Miami
Ensemble-based based Assimilation of HF-Radar Surface Currents in a West Florida Shelf ROMS Nested into HYCOM and filtering of spurious surface gravity waves. Alexander Barth, Aida Alvera-Azc Azcárate,
Implementation of the SEEK filter in HYCOM
Implementation of the SEEK filter in HYCOM P. Brasseur, J. Verron, J.M. Brankart LEGI/CNRS, Grenoble, France HYCOM model SST, SSH, ocean colour Assimilation SEEK filter Y H x f In situ, XBT K x a Real-time
Inter-annual Variability and Prediction of Eddies in the Gulf of Aden and the Somali Current Region
DISTRIBUTION STATEMENT A: Distribution approved for public release; distribution is unlimited. Inter-annual Variability and Prediction of Eddies in the Gulf of Aden and the Somali Current Region Julian
Ocean currents from altimetry
Ocean currents from altimetry Pierre-Yves LE TRAON - CLS - Space Oceanography Division Gamble Workshop - Stavanger,, May 2003 Introduction Today: information mainly comes from in situ measurements ocean
Global Ocean Monitoring: A Synthesis of Atmospheric and Oceanic Analysis
Extended abstract for the 3 rd WCRP International Conference on Reanalysis held in Tokyo, Japan, on Jan. 28 Feb. 1, 2008 Global Ocean Monitoring: A Synthesis of Atmospheric and Oceanic Analysis Yan Xue,
New Development in Coastal Ocean Analysis and Prediction. Peter C. Chu Naval Postgraduate School Monterey, CA 93943, USA
New Development in Coastal Ocean Analysis and Prediction Peter C. Chu Naval Postgraduate School Monterey, CA 93943, USA Coastal Model Major Problems in Coastal Modeling (1) Discretization (2) Sigma Error
A comparison of sequential data assimilation schemes for. Twin Experiments
A comparison of sequential data assimilation schemes for ocean prediction with HYCOM Twin Experiments A. Srinivasan, University of Miami, Miami, FL E. P. Chassignet, COAPS, Florida State University, Tallahassee,
Ocean Observations for an End-to-End Seasonal Forecasting System
Ocean Observations for an End-to-End Seasonal Forecasting System Magdalena A. Balmaseda Yosuke Fujii Oscar Alves Tong Lee Michele Rienecker Tony Rosati Detlef Stammer Yan Xue Howard Freeland Michael McPhaden
OSSE OSE activities with Multivariate Ocean VariationalEstimation (MOVE)System. II:Impacts ofsalinity and TAO/TRITON.
G ODAE/O O P O SSE O SE m eeting,nov.5 7th,2007 in IO,Paris OSSE OSE activities with Multivariate Ocean VariationalEstimation (MOVE)System. II:Impacts ofsalinity and TAO/TRITON. S.Matsumoto,Y.Fujii,T.Soga,T.Yasuda,S.Ishizaki,N.Usui,and
Decadal Variation of the Geostrophic Vorticity West of the Luzon Strait
144 The Open Oceanography Journal, 2010, 4, 144-149 Open Access Decadal Variation of the Geostrophic Vorticity West of the Luzon Strait Yinglai Jia *,1, Qinyu Liu 1 and Haibo Hu 2 1 Physical Oceanography
Near Real-Time Alongtrack Altimeter Sea Level Anomalies: Options. Corinne James and Ted Strub Oregon State University. Motivation
Near Real-Time Alongtrack Altimeter Sea Level Anomalies: Options Corinne James and Ted Strub Oregon State University Motivation Modelers want easy access to alongtrack SSHA, SLA or ADT, with enough explanations
Regional High Resolution Reanalysis over European North East Shelf domain
Regional High Resolution Reanalysis over European North East Shelf domain M. Benkiran, E. Greiner (CLS) and Mercator Ocean Team http://www.mercator-ocean.fr mbenkiran@cls.fr 1 Outline REANALYSIS : IBI-1/12,
Status of 1/25 Global HYCOM Simulations
Status of 1/25 Global HYCOM Simulations Luis Zamudio 1 & Joe Metzger 2 1 Center for Ocean-Atmospheric Prediction Studies, Florida State University 2 Naval Research Laboratory, Stennis Space Center, Mississippi
Ocean data assimilation for reanalysis
Ocean data assimilation for reanalysis Matt Martin. ERA-CLIM2 Symposium, University of Bern, 14 th December 2017. Contents Introduction. On-going developments to improve ocean data assimilation for reanalysis.
Regional eddy-permitting state estimation of the circulation in the Northern Philippine Sea
Regional eddy-permitting state estimation of the circulation in the Northern Philippine Sea Bruce D. Cornuelle, Ganesh Gopalakrishnan, Peter F. Worcester, Matthew A. Dzieciuch, and Matthew Mazloff Scripps
The Forecasting Ocean Assimilation Model System
The Forecasting Ocean Assimilation Model System Mike Bell 25 Sept 2004 mike.bell@metoffice.gov.uk Crown copyright 2004 Page 1 Content Summary of capability and formulation Trouble shooting Assessments
HYCOM and GODAE in Relation to Navy Ocean Prediction
HYCOM and GODAE in Relation to Navy Ocean Prediction An Overview Presented by Harley Hurlburt Naval Research Laboratory Stennis Space Center, MS 39529-5004 5004 HYCOM Meeting Naval Research Laboratory
The impact of the assimilation of SLA along track Observation with high-frequency signal in IBI system
The impact of the assimilation of SLA along track Observation with high-frequency signal in IBI system M. Benkiran, C.Dufau (CLS) and Mercator Ocean Team http://www.mercator-ocean.fr mbenkiran@cls.fr Context
Data Assimilation of Argo Profiles in Northwest Pacific Yun LI National Marine Environmental Forecasting Center, Beijing
Data Assimilation of Argo Profiles in Northwest Pacific Yun LI National Marine Environmental Forecasting Center, Beijing www.nmefc.gov.cn National Marine Environmental Forecasting Center Established in
Modelling forecast error statistics in the Mercator ocean and sea-ice reanalysis system.
Modelling forecast error statistics in the Mercator ocean and sea-ice reanalysis system. C.E Testut 1, G. Ruggiero 1, L. Parent 1, J.M. Lellouche 1, O. Legalloudec 1, C. Bricaud 1, J. Chanut 1, G. Smith
Model and observation bias correction in altimeter ocean data assimilation in FOAM
Model and observation bias correction in altimeter ocean data assimilation in FOAM Daniel Lea 1, Keith Haines 2, Matt Martin 1 1 Met Office, Exeter, UK 2 ESSC, Reading University, UK Abstract We implement
Alexander Kurapov, in collaboration with R. Samelson, G. Egbert, J. S. Allen, R. Miller, S. Erofeeva, A. Koch, S. Springer, J.
Coastal Ocean Modeling at CIOSS Alexander Kurapov, in collaboration with R. Samelson, G. Egbert, J. S. Allen, R. Miller, S. Erofeeva, A. Koch, S. Springer, J. Osborne - Pilot real-time forecast model of
Comparison of of Assimilation Schemes for HYCOM
Comparison of of Assimilation Schemes for HYCOM Ashwanth Srinivasan, C. Thacker, Z. Garraffo, E. P. Chassignet, O. M. Smedstad, J. Cummings, F. Counillon, L. Bertino, T. M. Chin, P. Brasseur and C. Lozano
Recent Development of Ocean Data Assimilation Systems and Recent Observing System Evaluation Studies in JMA/MRI
GOV DA-TT & OSEval TT MT 2017, Oct. 13 th, 2017, La Spezia, Italy Recent Development of Ocean Data Assimilation Systems and Recent Observing System Evaluation Studies in JMA/MRI Yosue Fujii, Norihisa Usui,
Preparation of the SWOT Mission
Preparation of the SWOT Mission M.Benkiran, E. Greiner, E. Rémy, P.Y. Le Traon and the Mercator Ocean team. Study done in the framework of a CNES/Mercator Ocean convention, in collaboration with CLS. GODAE
Applying Basin-Scale HyCOM Hindcasts in Providing Open Boundary Conditions for Nested High-Resolution Coastal Circulation Modeling
Applying Basin-Scale HyCOM Hindcasts in Providing Open Boundary Conditions for Nested High-Resolution Coastal Circulation Modeling Ruoying He Woods Hole Oceanographic Institution December 7, 2005 Cape
Application of the Multigrid Data Assimilation Scheme to the China Seas Temperature Forecast
2106 J O U R N A L O F A T M O S P H E R I C A N D O C E A N I C T E C H N O L O G Y VOLUME 25 Application of the Multigrid Data Assimilation Scheme to the China Seas Temperature Forecast WEI LI College
EVALUATION OF THE GLOBAL OCEAN DATA ASSIMILATION SYSTEM AT NCEP: THE PACIFIC OCEAN
2.3 Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, AMS 84th Annual Meeting, Washington State Convention and Trade Center, Seattle, Washington,
Masa Kamachi Japan Met. Agency/ Met. Res. Inst.
An example of operational ocean data assimilation and prediction Masa Kamachi Japan Met. Agency/ Met. Res. Inst. JMA & MRI Ocean Data Assimilation Group T. Nakano, S. Matsumoto, N. Usui, Y. Fujii, T. Yasuda,
WP2 task 2.2 SST assimilation
WP2 task 2.2 SST assimilation Matt Martin, Dan Lea, James While, Rob King ERA-CLIM2 General Assembly, Dec 2015. Contents Impact of SST assimilation in coupled DA SST bias correction developments Assimilation
MODELING EAST ASIAN SUMMER MONSOON IN 1998 WITH A COUPLED REGIONAL AIR-SEA MODEL. Xuejuan Ren
INYS 2008 MODELING EAST ASIAN SUMMER MONSOON IN 1998 WITH A COUPLED REGIONAL AIR-SEA MODEL Xuejuan Ren Yaocun Zhang, Yongfu Qian, Huijuan Lin Department of Atmospheric Sciences, Nanjing University, Nanjing,
Toward Accurate Coastal Ocean Modeling
Toward Accurate Coastal Ocean Modeling Peter C. Chu Naval Postgraduate School Monterey, CA 93943, USA Email: pcchu@nps.edu http://www.oc.nps.navy.mil/~chu International Council for Sciences, Scientific
Eddy and Chlorophyll-a Structure in the Kuroshio Extension Detected from Altimeter and SeaWiFS
14th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS), AMS Atlanta, January 17-21, 21 Eddy and Chlorophyll-a Structure in the Kuroshio
GODAE Ocean View Activities in JMA (and Japan)
GOVST VIII, Nov. 6 th, 2017, Bergen, Norway GODAE Ocean View Activities in JMA (and Japan) Yosuke Fujii 1, Norihisa Usui 1, Takahiro Toyoda 1, Nariaki Hirose 1, Hiromichi Igarashi 2, and Japan GODAE group
Effects of the Submesoscale Anticyclonic Eddies Induced by Kuroshio in East China Sea
Proceedings of the Twenty-fourth (2014) International Ocean and Polar Engineering Conference Busan, Korea, June 15-20, 2014 Copyright 2014 by the International Society of Offshore and Polar Engineers (ISOPE)
Coastal Data Assimilation: progress and challenges in state estimation for circulation and BGC models
Coastal Data Assimilation: progress and challenges in state estimation for circulation and BGC models Emlyn Jones, Roger Scott, Mark Baird, Frank Colberg, Paul Sandery, Pavel Sakov, Gary Brassington, Mathieu
Forecasting Tides in Global HYCOM
Forecasting Tides in Global HYCOM James G. Richman Oceanography Division Naval Research Laboratory Stennis Space Center, MS In collaboration with Brian Arbic, Univ. Michigan Joe Metzger, Jay Shriver &
An Update on the 1/12 Global HYCOM Effort
An Update on the 1/12 Global HYCOM Effort E. Joseph Metzger, Alan J. Wallcraft, Jay F. Shriver and Harley E. Hurlburt Naval Research Laboratory 10 th HYCOM Consortium Meeting 7-99 November 2006 FSU-COAPS,
Skillful climate forecasts using model-analogs
Skillful climate forecasts using model-analogs Hui Ding 1,2, Matt Newman 1,2, Mike Alexander 2, and Andrew Wittenberg 3 1. CIRES, University of Colorado Boulder 2. NOAA ESRL PSD 3. NOAA GFDL NCEP operational
HYCOM Caspian Sea Modeling. Part I: An Overview of the Model and Coastal Upwelling. Naval Research Laboratory, Stennis Space Center, USA
HYCOM Caspian Sea Modeling. Part I: An Overview of the Model and Coastal Upwelling By BIROL KARA, ALAN WALLCRAFT AND JOE METZGER Naval Research Laboratory, Stennis Space Center, USA MURAT GUNDUZ Institute
Global Ocean Reanalysis Simulations at Mercator Océan GLORYS1: the Argo years
Global Ocean Reanalysis Simulations at Mercator Océan GLORYS1: the Argo years 2002-2008 Laurent Parent, Nicolas Ferry and the Mercator Océan team Mercator-Océan, Toulouse, France: http://www.mercator-ocean.fr
Development and Application of the Chinese Operational Hydrological Forecasting System
Development and Application of the Chinese Operational Hydrological Forecasting System Guimei LIU National Marine Environmental Forecasting Center, Beijing www.nmefc.gov.cn Contents Background Operational
High-resolution ocean modelling at the MPI
High-resolution ocean modelling at the MPI Jin-Song von Storch Hamburg CLIVAR WGOMD Workshop on High Resolution Ocean Climate Modelling, 7-9 April 2014, Kiel Technical and organizational overview I The
Non-linear patterns of eddy kinetic energy in the Japan/East Sea
Non-linear patterns of eddy kinetic energy in the Japan/East Sea O.O. Trusenkova, D.D. Kaplunenko, S.Yu. Ladychenko, V.B. Lobanov V.I.Il ichev Pacific Oceanological Institute, FEB RAS Vladivostok, Russia
OOPC-GODAE workshop on OSE/OSSEs Paris, IOCUNESCO, November 5-7, 2007
OOPC-GODAE workshop on OSE/OSSEs Paris, IOCUNESCO, November 5-7, 2007 Design of ocean observing systems: strengths and weaknesses of approaches based on assimilative systems Pierre Brasseur CNRS / LEGI
Assimilation of SST data in the FOAM ocean forecasting system
Assimilation of SST data in the FOAM ocean forecasting system Matt Martin, James While, Dan Lea, Rob King, Jennie Waters, Ana Aguiar, Chris Harris, Catherine Guiavarch Workshop on SST and Sea Ice analysis
Warn and cold-core anticyclonic eddies in the western subarctic North Pacific
Warn and cold-core anticyclonic eddies in the western subarctic North Pacific S. Itoh, I. Yasuda & H. Ueno I. Properties of anticyclonic eddies in WSAG (Itoh and Yasuda, JPO, in press) II. East-West comparison
Seasonal forecasting of climate anomalies for agriculture in Italy: the TEMPIO Project
Seasonal forecasting of climate anomalies for agriculture in Italy: the TEMPIO Project M. Baldi(*), S. Esposito(**), E. Di Giuseppe (**), M. Pasqui(*), G. Maracchi(*) and D. Vento (**) * CNR IBIMET **
O.M Smedstad 1, E.J. Metzger 2, R.A. Allard 2, R. Broome 1, D.S. Franklin 1 and A.J. Wallcraft 2. QinetiQ North America 2. Naval Research Laboratory
An eddy-resolving ocean reanalysis using the 1/12 global HYbrid Coordinate Ocean Model (HYCOM) and the Navy Coupled Ocean Data Assimilation (NCODA) scheme O.M Smedstad 1, E.J. Metzger 2, R.A. Allard 2,
John Kindle. Sergio derada Igor Shulman Ole Martin Smedstad Stephanie Anderson. Data Assimilation in Coastal Modeing April
John Kindle Sergio derada Igor Shulman Ole Martin Smedstad Stephanie Anderson Data Assimilation in Coastal Modeing April 3 2007 MODELS Motivation: Global->Coastal Real-Time Regional Coastal Models Global
Water Mass Variability in the Western North Pacific Detected in a 15-Year Eddy Resolving Ocean Reanalysis
Journal of Oceanography, Vol. 65, pp. 737 to 756, 2009 Water Mass Variability in the Western North Pacific Detected in a 15-Year Eddy Resolving Ocean Reanalysis YASUMASA MIYAZAWA 1 *, RUOCHAO ZHANG 1,
Ocean Forecasting for Australia & New Zealand and Mesoscale Oceanography
Ocean Forecasting for Australia & New Zealand and Mesoscale Oceanography Andreas Schiller 1 Graham Rickard 2 Gary Brassington 3 1 Centre for Australian Weather and Climate Research; Wealth from Oceans
Assimilation Impact of Physical Data on the California Coastal Ocean Circulation and Biogeochemistry
Assimilation Impact of Physical Data on the California Coastal Ocean Circulation and Biogeochemistry Yi Chao, Remote Sensing Solutions (RSS)/UCLA; John D. Farrara, RSS; Fei Chai, University of Maine; Hongchun
New Salinity Product in the Tropical Indian Ocean Estimated from OLR
New Salinity Product in the Tropical Indian Ocean Estimated from OLR Aquarius Bulusu Subrahmanyam and James J. O Brien Center for Ocean-Atmospheric Prediction Studies, Florida State University V.S.N. Murty
Satellite Altimetry Sea Surface Height Variability and In Situ Observations Along An Eddy Corridor Dr. Sheekela Baker-Yeboah 1
Satellite Altimetry Sea Surface Height Variability and In Situ Observations Along An Eddy Corridor Dr. Sheekela Baker-Yeboah 1 NOAA/NESDIS/National Center for Environmental Information, 2 University of
Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system
Ensemble-variational assimilation with NEMOVAR Part 2: experiments with the ECMWF system La Spezia, 12/10/2017 Marcin Chrust 1, Anthony Weaver 2 and Hao Zuo 1 1 ECMWF, UK 2 CERFACS, FR Marcin.chrust@ecmwf.int
7 December 2016 Tokyo Climate Center, Japan Meteorological Agency
Summary of the 2016 Asian Summer Monsoon 7 December 2016 Tokyo Climate Center, Japan Meteorological Agency This report summarizes the characteristics of the surface climate and atmospheric/oceanographic
Climate Change Impacts on the Marine Environment
Climate Change Impacts on the Marine Environment Ken Ridgway CSIRO Marine and Atmospheric Research Wealth from Oceans National Research Flagship www.csiro.au Acknowledgements Jeff Dunn, John Church, Katy
Recent Developments in Climate Information Services at JMA. Koichi Kurihara Climate Prediction Division, Japan Meteorological Agency
Recent Developments in Climate Information Services at JMA Koichi Kurihara Climate Prediction Division, Japan Meteorological Agency 1 Topics 1. Diagnosis of the Northern Hemispheric circulation in December
Discussion of forcing errors in the Bay and how to deal with these using the LETKF. Assimilation with synthetic obs with realistic coverage
Discussion of forcing errors in the Bay and how to deal with these using the LETKF Assimilation with synthetic obs with realistic coverage Ecologically and economically important resource Home to over
Application and improvement of Ensemble Optimal Interpolation on Regional Ocean Modeling System (ROMS)
Application and improvement of Ensemble Optimal Interpolation on Regional Ocean Modeling System (ROMS) Zhaoyi Wang Guokun Lyu, Hui Wang, Jiang Zhu, Guimei Liu et al. National Marine Environmental Forecasting
Data assimilation for the coupled ocean-atmosphere
GODAE Ocean View/WGNE Workshop 2013 19 March 2013 Data assimilation for the coupled ocean-atmosphere Eugenia Kalnay, Tamara Singleton, Steve Penny, Takemasa Miyoshi, Jim Carton Thanks to the UMD Weather-Chaos
Ocean data assimilation systems in JMA and their representation of SST and sea ice fields
SST-WS, Jan. 6 th, 2018, ECMWF, Reading, UK Ocean data assimilation systems in JMA and their representation of SST and sea ice fields Yosuke Fujii 1, Takahiro Toyoda 1, Norihisa Usui 1, Nariaki Hirose
El Niño, South American Monsoon, and Atlantic Niño links as detected by a. TOPEX/Jason Observations
El Niño, South American Monsoon, and Atlantic Niño links as detected by a decade of QuikSCAT, TRMM and TOPEX/Jason Observations Rong Fu 1, Lei Huang 1, Hui Wang 2, Paola Arias 1 1 Jackson School of Geosciences,
THE BC SHELF ROMS MODEL
THE BC SHELF ROMS MODEL Diane Masson & Isaac Fine, Institute of Ocean Sciences The Canadian west coast perspective (filling the gap ) AVISO, Eddy Kinetic Energy (cm 2 s -2 ) In this talk Model set-up and
Climate of the Philippines and the sea surface temperature effect on summer monsoon rainfall in the Philippines
International Workshop on Climate Downscaling Studies at Tsukuba, October 4, 2017 Climate of the Philippines and the sea surface temperature effect on summer monsoon rainfall in the Philippines Jun Matsumoto
TIDAL SIMULATION USING REGIONAL OCEAN MODELING SYSTEM (ROMS)
TIDAL SIMULATION USING REGIONAL OCEAN MODELING SYSTEM (ROMS) Xiaochun Wang 1,2, Yi Chao 1, Changming Dong 3, John Farrara 1,2, Zhijin Li 1,2, Koji Matsumoto 4, James C. McWilliams 3, Jeffrey D. Paduan
Possible mechanism of bi-decadal North Pacific ocean/climate variability in relation to 18.6-year nodal tidal cycle
Possible mechanism of bi-decadal North Pacific ocean/climate variability in relation to 18.6-year nodal tidal cycle Ichiro Yasuda and Satoshi Osafune (Ocean Research Institute, Univ. Tokyo) Hiroaki Tatebe
LOM Layered Ocean Model Workshop, 2-4 June 2015, Copenhagen
LOM Layered Ocean Model Workshop, 2-4 June 2015, Copenhagen 2 HYCOM Preliminary operational system Grid 1/3 (22 levels) Spin-up COADS 30 years (USP-UFBA) 2007/2008 NCEP atmospheric forcing HYCOM Grid nesting
ECMWF: Weather and Climate Dynamical Forecasts
ECMWF: Weather and Climate Dynamical Forecasts Medium-Range (0-day) Partial coupling Extended + Monthly Fully coupled Seasonal Forecasts Fully coupled Atmospheric model Atmospheric model Wave model Wave
Tracer transport and meridional overturn in the equatorial ocean
OFES workshops, February 2006 Tracer transport and meridional overturn in the equatorial ocean Akio Ishida with Yoshikazu Sasai, Yasuhiro Yamanaka, Hideharu Sasaki, and the OFES members Chlorofluorocarbon
Developing Coastal Ocean Forecasting Systems and Their Applications
Developing Coastal Ocean Forecasting Systems and Their Applications Xiaochun Wang a,b LASG/IAP, CAS, July 23, 2010 Contributions from: JPL Yi Chao, John Farrara, Peggy Li, Zhijin Li, Quoc Vu, Hongchun
Introduction of climate monitoring and analysis products for one-month forecast
Introduction of climate monitoring and analysis products for one-month forecast TCC Training Seminar on One-month Forecast on 13 November 2018 10:30 11:00 1 Typical flow of making one-month forecast Observed
Interpretation of Outputs from Numerical Prediction System
Interpretation of Outputs from Numerical Prediction System Hiroshi OHNO Tokyo Climate Center (TCC)/ Climate Prediction Division of Japan Meteorological Agency (JMA) Procedure of Seasonal Forecast (1) 1.
Physically-based risk assessment of hurricane storm surge in a changing climate
Physically-based risk assessment of hurricane storm surge in a changing climate Ning Lin Princeton University Department of Civil and Environmental Engineering Hurricane Ike 5 Year Workshop Rice University,
Dr Marc Lucas CLS Toulouse, France.
Dr Marc Lucas CLS Toulouse, France. Oceanology International 15th March 2012 Slide 1 Ocean depiction In the past: Information mainly comes from in situ measurements (ADCP) Now: The role of satellite data
GLERL Coupled Ice-Ocean Modeling and Forecasting
GLERL Coupled Ice-Ocean Modeling and Forecasting Jia Wang Ice Climatologist NOAA Great Lake Environmental Research Laboratory, Ann Arbor, Michigan Jia.wang@noaa.gov Haoguo Hu, Ayumi Manome, and Xuezhi
Figure 2. Time series of the standard deviation of spatial high pass filtered QuikSCAT wind stress (solid) and AMSR SST (dashed) for (top to bottom)
a) Figure 1. Spatial high pass filtered a) QuikSCAT wind stress (colors) and AMSR SST (contours), QuikSCAT wind stress divergence (colors) and AMSR downwind SST gradient (contours) and QuikSCAT wind stress