(c) 2006 1 MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Week 5: Lecture Plan 5.1 Revision class 5.2 Test.

Slides:

Advertisements

Similar presentations

A Shared Atmosphere-Ocean Dynamical Core: First Validation (Semi-Implicit Semi-Lagrangian) Pierre Pellerin(2), François Roy(1,3), Claude Girard(2), François.

Advertisements

(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Staggered schemes 3.1 Staggered time schemes.

(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Week 3: Modelling the Real World 3.1 Staggered.

The Role of High-value Observations for Forecast Simulations in a Multi- scale Climate Modeling Framework Gabriel J. Kooperman, Michael S. Pritchard, and.

5.3. Kelvin wave in General Circulation Models Katherine Straub.

Climate change in centuries in observational and model data Evgeny Volodin, Institute of Numerical Mathematics RAS, Moscow, Russia.

Tropical Water Vapor and Cloud Feedbacks in CCSM3.5: A Preliminary Evaluation D.-Z. Sun and T. Zhang University of Colorado & National Oceanic & Atmospheric.

Weather and climate modelling expands to cover the globe Tony Slingo, ESSC University of Reading “The past, the present and the future of global weather.

WFM 6311: Climate Risk Management © Dr. Akm Saiful Islam WFM 6311: Climate Change Risk Management Akm Saiful Islam Lecture-3: Module- 3 Climate Change.

Pete Bosler Modeling Geophysical Fluid Flows. Overview G “Geophysical Fluid Flow” G Ocean & Atmosphere G Physical oceanography and meteorology G Across.

Something about climate models Philip Mote JISAO/SMA Climate Impacts Group (home of Academy award winner Ed Miles)

Dominant large-scale patterns influencing the interannual variability of precipitation in South America as depicted by IPCC-AR4 Models Carolina Vera (1),

Geophysical Modelling: Climate Modelling How advection, diffusion, choice of grids, timesteps etc are defined in state of the art models.

Using climate change to predict Nile flow Suzanne Young March 8,

World Weather Open Science – 17 August 2014 The Impact of Land Surface on Sub-seasonal Forecast Skill Zhichang Guo and Paul Dirmeyer Center for Ocean-Land-Atmosphere.

The VAMOS Ocean-Cloud-Atmosphere- Land Study Robert Wood, University of Washington.

Numerical weather prediction: current state and perspectives M.A.Tolstykh Institute of Numerical Mathematics RAS, and Hydrometcentre of Russia.

The Canadian Climate Impacts Scenarios (CCIS) Project is funded by the Climate Change Action Fund and provides climate change scenarios and related information.

Coupled GCM The Challenges of linking the atmosphere and ocean circulation.

The Canadian Numerical Weather Prediction System: Present and Future Gilbert Brunet Recherche en Prévision Numérique (RPN) Meteorological Research Branch.

Project Overview GMAO Seasonal Forecast NCAR/LANL CCSM NCEP Forecast GFDL FMS Suite MITgcm NASA GMAO Analysis Climate Data Assimilation.

NUMERICAL WEATHER PREDICTION K. Lagouvardos-V. Kotroni Institute of Environmental Research National Observatory of Athens NUMERICAL WEATHER PREDICTION.

(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans More advanced spatial schemes 4.1 Series expansion.

Numerical simulations of the severe rainfall in Pula, Croatia, on 25 th September 2010 Antonio Stanešić, Stjepan Ivatek-Šahdan, Martina Tudor and Dunja.

Introduction to Climate Models: history and basic structure Topics covered: 2. Brief history 3. Physical parametrizations.

What is a Climate Model?.

대기대순환 모형의 개요 1. 기후계의 모의 2. GCM 의 발전 3. GCM 의 구조 4. 널리 사용되는 GCM 들 5. 격자 모형과 분광 모형.

Monsoon Desk at NCEP NOAA/NWS/NCEP/EMC National Monsoon Mission Scoping Workshop April 11-15, 2011.

Impact of Wind and Ice Biases on the Southern Ocean Carbon and Heat Uptake Jessica Rudd Joellen Russell, Ph.D. & Paul Goodman, Ph.D. Department of Geosciences,

A cell-integrated semi-Lagrangian dynamical scheme based on a step-function representation Eigil Kaas, Bennert Machenhauer and Peter Hjort Lauritzen Danish.

Meteorology 485 Long Range Forecasting Friday, January 23, 2004.

Anthony DeAngelis [ [

How do we predict weather and climate?. Review of last lecture Extratropical climate: Mean state: westerly winds, polar vortex Mean state: westerly winds,

Global Observing System Simulation Experiments (Global OSSEs) How It Works Nature Run 13-month uninterrupted forecast produces alternative atmosphere.

Components, Coupling and Concurrency in the Earth System Modeling Framework N. Collins/NCAR, C. DeLuca/NCAR, V. Balaji/GFDL, G. Theurich/SGI, A. da Silva/GSFC,

Environment Canada Environnement Canada Effects of elevated CO 2 on modelled ENSO variability Bill Merryfield Canadian Centre for Climate Modelling and.

4’th Oersted International Science Team Conference British Geological Survey, United Kingdom Ball Aerospace & Technologies Corp., USA Carpathian Branch.

3 rd Annual WRF Users Workshop Promote closer ties between research and operations Develop an advanced mesoscale forecast and assimilation system   Design.

Day at which forecast loses useful skill (AC=0.6) N. Hemisphere 500hPa height calendar year means Forecast day 8.08d.

Sensitivity analysis on reservoir water temperature under future climate change Nihar R. Samal 1, Donald Pierson 2, Y., M. S. Zion 2, Klaus D. Joehnk 3,

23-27 Oct. 2006NOAA 31st Annual Climate Diagnostics and Prediction Workshop Predictability & Prediction of Seasonal Climate over North America Lisa Goddard,

POTENTIAL THESIS TOPICS Professor Russell L. Elsberry January 26, 2006 Graduate School of Engineering and Applied Sciences Department of Meteorology, Naval.

Development of Climate Change Scenarios of Rainfall and Temperature over the Indian region Potential Impacts: Water Resources Water Resources Agriculture.

Report of the Subcommittee on Global Change Research Programs to DOE Office of Science Biological and Environmental Research Advisory Committee April 20,

How do we predict weather and climate?. Review of last lecture Tropical climate: Mean state: The two basic regions of SST? Which region has stronger rainfall?

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California 1 João Teixeira Jet Propulsion.

Global Modeling and Assimilation Office NASA/GSFC GMAO Merger of NSIPP and the DAO offices at GSFC Science areas: Subseasonal-to-Seasonal-to-Decadal Prediction.

Forecasting Weather Patterns to Determine Radioactive Dispersion.

National Center for Atmospheric Research Boulder, Colorado USA.

The international/intergovernmental landscape for the future of GODAE Albert Fischer IOC/UNESCO Final IGST meeting, Silver Spring MD, USA, 3 June 2008.

Shu-Hua Chen University of California, Davis eatheresearch & orecasting

CGILS Updated Results GCSS-BLCWG Meeting, September 29-30, 2010 KNMI Minghua Zhang, Chris Bretherton, Peter Blossey Phil Austin, Julio Bacmeister, Sandrine.

T-PARC2008 Operation Plan of JMA 1Overview of T-PARC2008 activities in JMA 2Outline of Special Observation 3Routine Observation and Special Observation.

Presented by LCF Climate Science Computational End Station James B. White III (Trey) Scientific Computing National Center for Computational Sciences Oak.

3. Modelling module 3.1 Basics of numerical atmospheric modelling M. Déqué – CNRM – Météo-France J.P. Céron – DClim – Météo-France.

Numerical simulations of the severe rainfall in Pula, Croatia, on 25 th September 2010 Antonio Stanešić, Stjepan Ivatek-Šahdan, Martina Tudor and Dunja.

Seasonal Arctic heat budget in CMIP5 models

Contributing Centres to S2S database

WELCOME: First VOCALS Meeting

Chia Fuk Jing & Mubasher Hussain Hydro Department July 03, 2017

Comparative Study of Performance of CMIP3 GCMs in Simulating the East Asian Monsoon Variability SAHANA PAUL and H. H. HSU Department of Atmospheric Sciences,

Considerations in Using Climate Change Information in Hydrologic Models and Water Resources Assessments JISAO Center for Science in the Earth System Climate.

National Monsoon Mission Scoping Workshop April 11-15, 2011

National Center for Atmospheric Research

What is a Climate Model?.

The Arctic Ocean in CMIP5 Simulations

How will the earth’s temperature change?

What is a Climate Model?.

MODIS Polar Winds Forecast Impact (3DVAR) Northern Hemisphere

Spatial Discretisation

Presentation transcript:

(c) MSc Module MTMW14 : Numerical modelling of atmospheres and oceans Week 5: Lecture Plan 5.1 Revision class 5.2 Test 5.3 Survey of real atmospheric models

(c) Course content Week 1: The Basics 1.1 Introduction 1.2 Brief history of numerical weather forecasting and climate modelling 1.3 Dynamical equations for the unforced fluid Week 2: Modelling the real world 2.1 Physical parameterisations: horizontal mixing and convection 2.2 Ocean modelling Week 3: Staggered schemes 3.1 Staggered time discretisation and the semi-implicit method 3.2 Staggered space discretisations Week 4: More advanced spatial schemes 4.1 Lagrangian and semi-lagrangian schemes 4.2 Series expansion methods: finite element and spectral methods Week 5: Synthesis 5.1 Revision 5.2 Test

(c) Week Revision class Break up into pairs and ask each other: What key things have you learned? What things are you not sure about? What would you like to know more about? 5.2 Test 5.3 Survey of real models (optional)

(c) Survey of real models Pick a number from 1-31 Now look at the Atmospheric Model Intercomparison Project (AMIP) Find out: what schemes your model uses? what time step and resolution/truncation it uses? how many levels in the vertical it has? what sort of parameterisation schemes it has?

(c) Bureau of Meteorology Research Centre Model BMRC BMRC3.7.1 (R31 L17) Canadian Centre for Climate Modelling and Analysis Model CCC GCMII (T32 L10) 1990Model CCC GCMII (T32 L10) Center for Climate System Research Model CCSR/NIES AGCM (T21 L20) 1995Model CCSR/NIES AGCM (T21 L20) Centre National de Recherches Météorologiques Model CNRM ARPEGE Cy11 (T42 L30) 1995Model CNRM ARPEGE Cy11 (T42 L30) Center for Ocean-Land-Atmosphere Studies Model COLA COLA1.1 (R40 L18) 1993Model COLA COLA1.1 (R40 L18) Commonwealth Scientific and Industrial Research Organization Model CSIRO CSIRO9 Mark1 (R21 L9) 1992Model CSIRO CSIRO9 Mark1 (R21 L9) Colorado State University Model CSU CSU95 (4x5 L17) 1995Model CSU CSU95 (4x5 L17) Dynamical Extended-Range Forecasting Model DERF GFDLSM195 (T42 L18) 1995Model DERF GFDLSM195 (T42 L18) Department of Numerical Mathematics Model DNM A5407.V2 (4x5 L7) 1995Model DNM A5407.V2 (4x5 L7) European Centre for Medium-Range Weather Forecasts Model ECMWF ECMWF Cy36 (T42 L19) 1990Model ECMWF ECMWF Cy36 (T42 L19) Geophysical Fluid Dynamics Laboratory Model GFDL CDG1 (R30 L14) 1992Model GFDL CDG1 (R30 L14) Goddard Institute for Space Studies Model GISS Model II Prime (4x5 L9) 1994Model GISS Model II Prime (4x5 L9) Goddard Laboratory for Atmospheres Model GLA GCM-01.0 AMIP-01 (4x5 L17) 1992Model GLA GCM-01.0 AMIP-01 (4x5 L17) Goddard Space Flight Center Model GSFC GEOS-1 (4x5 L20) 1993Model GSFC GEOS-1 (4x5 L20) Institute of Atmospheric Physics Model IAP IAP-2L (4x5 L2) 1993Model IAP IAP-2L (4x5 L2) Japan Meteorological Agency Model JMA GSM8911 (T42 L21) 1993Model JMA GSM8911 (T42 L21) Lawrence Livermore National Laboratory Model LLNL/UCLA MPP1 (4x5 L15) 1995Model LLNL/UCLA MPP1 (4x5 L15) Laboratoire de Météorologie Dynamique Model LMD LMD6s (3.6x5.6 L11) 1995Model LMD LMD6s (3.6x5.6 L11) Main Geophysical Observatory Model MGO AMIP92 (T30 L14) 1992Model MGO AMIP92 (T30 L14) Max-Planck-Institut für Meteorologie Model MPI ECHAM4 (T42 L19) 1996Model MPI ECHAM4 (T42 L19) Meteorological Research Institute Model MRI GCM-IIb (4x5 L15) 1995Model MRI GCM-IIb (4x5 L15) National Center for Atmospheric Research Model NCAR CCM2 (T42 L18) 1992Model NCAR CCM2 (T42 L18) National Meteorological Center Model NMC MRF (T40 L18) 1992Model NMC MRF (T40 L18) National Taiwan University Model NTU GCM (T42 L13) 1995Model NTU GCM (T42 L13) Naval Research Laboratory Model NRL NOGAPS3.4 (T47 L18) 1995Model NRL NOGAPS3.4 (T47 L18) Recherche en Prévision Numérique Model RPN NWP-D40P29 (T63 L23) 1993Model RPN NWP-D40P29 (T63 L23) State Uni of New York at Albany/NCAR Model SUNYA/NCAR GENESIS1.5A (T31 L18) 1995Model SUNYA/NCAR GENESIS1.5A (T31 L18) University of California at Los Angeles Model UCLA AGCM6.4 (4x5 L15) 1992Model UCLA AGCM6.4 (4x5 L15) University of Illinois at Urbana-Champaign Model UIUC MLAM-AMIP (4x5 L7) 1993Model UIUC MLAM-AMIP (4x5 L7) United Kingdom Meteorological Office Model UKMO HadAM1 (2.5x3.75 L19) 1993Model UKMO HadAM1 (2.5x3.75 L19) Yonsei University Model YONU Tr7.1 (4x5 L7) 1995Model YONU Tr7.1 (4x5 L7) 1995

(c) And finally … Any constructive feedback? Please put your comments on the feedback forms. Hope you found the module interesting and useful. David B. Stephenson