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Objective identify the three subatomic particles and compare their properties. .pptx

VIEWS: 26 PAGES: 33

									           Overview
Office of Naval Research
      24 May 2012
Introduction
  Welcome
  Goals


Uniqueness                     Vision and Mission
Accomplishments


Recent Advances
                                                        VISION
                                        Global society benefits
Service                             from improved understanding of
  Leadership
  Operations                      climate variability and predictability
                          and free and open access to data and research tools
Education


Critical Mass
  Team
                                                     MISSION
  Scale
  Productivity       Basic and applied research and educating the next generation to
  Big Models
  Big Data         explore, establish and quantify the predictability and prediction of
                                    intra-seasonal to decadal variability
Conclusion
                  in a probabilistic framework and in the context of a changing climate

                                       ONR Briefing – 24 May 2012          COLA Overview   2
                                      Scientific Advisory
Introduction
  Welcome
  Goals


Uniqueness


Accomplishments
                                          Committee
Recent Advances   The SAC reviews and advises on scientific activities at COLA.
Service
  Leadership          Current members selected in consultation with the Federal agencies:
  Operations
                       J. Hurrell                   NCAR               2010 – ; chair 2011 –
Education
                    D. Lettenmaier                 U Washington               2011 –
Critical Mass          T. Palmer                      ECMWF                   2010 –
  Team
  Scale                 S. Schubert                NASA Goddard               2002 –
  Productivity
  Big Models
  Big Data
                    L. Uccellini                    NOAA NCEP                 2007 –
                          B. Wang                    U Hawaii                 2005 –
Conclusion




                                          ONR Briefing – 24 May 2012             COLA Overview   3
                            Scientific Advisory
Introduction
  Welcome
  Goals


Uniqueness


Accomplishments
                                Committee
                                     Former members of the COLA SAC:
Recent Advances
                  D. Anderson               ECMWF                           2005-2009
                  L. Bengtsson                        MPI                   1998-2001
Service           G. Branstator                      NCAR                   1999-2010
  Leadership
                   D. Burridge                      ECMWF              1994-1999; 2001-2005
  Operations
                  A. Busalacchi                   U Maryland                1994-1997
Education          R. Dickinson                     U Texas        1998-2010; chair 2004-2010
                  D. Hartmann                   U Washington       1998-2005; chair 1999-2003
Critical Mass      A. Leetmaa                        GFDL                   2000-2005
  Team
  Scale
                   R. Mechoso                        UCLA                   1994-1998
  Productivity     K. Miyakoda                   IMGA (Italy)               1994-1997
  Big Models
  Big Data           G. North                     Texas A&M                 1999-2005
                   Julia Paegle                     U Utah                  1994-1997
Conclusion           J. Slingo                  U Reading (UK)              2005-2009
                  K. Trenberth                       NCAR          1994-1999; chair 1998-1999
                  J. M. Wallace                 U Washington       1994-1999; chair 1994-1997
                                  ONR Briefing – 24 May 2012                       COLA Overview   4
Introduction
  Welcome
  Goals


Uniqueness
                                    Uniqueness
Accomplishments

                  •   Critical mass of excellent climate scientists working together
Recent Advances
                  •   Desire, capability to experiment with multiple national models
Service
  Leadership
  Operations
                  •   Stable, multi-agency funding and external expert advice
                  •   Scientific leadership in national/international climate research
Education
                  •   Co-sponsorship with GMU of PhD program in Climate Dynamics
Critical Mass
  Team
  Scale
                  •   Highly-valued, widely-used software: GrADS
  Productivity
  Big Models      •   High-capacity in-house computing facility
  Big Data
                  •   Building global capacity: creating & advancing research
Conclusion
                      institutions

                                         ONR Briefing – 24 May 2012       COLA Overview   5
Introduction
  Welcome
  Goals


Uniqueness
                  Advantages of COLA Uniqueness
Accomplishments


Recent Advances
                  • New Ideas and Accomplishments
                  • Recent Advances
Service
  Leadership
  Operations


Education         • COLA in the Nation’s Service
Critical Mass
  Team
  Scale
                  • Educating the Next Generation of Earth
                    System Modelers
  Productivity
  Big Models
  Big Data


Conclusion        • Critical Mass
                                ONR Briefing – 24 May 2012   COLA Overview   6
Introduction
  Welcome
  Goals


Uniqueness
                      Accomplishments over 20 Years
Accomplishments


Recent Advances
                  COLA is an environment for research that enables scientists to test
                  new ideas and pose a “credible threat” to old ones
Service           •   Established scientific basis for dynamical S-I prediction
  Leadership
  Operations      •   Established critical role of land surface in climate predictability
                  •   Established feasibility of reanalysis
Education         •   Advanced the multi-model ensemble
                  •   Helped quantify limits of climate predictability
Critical Mass          –   Land-atmosphere interactions
  Team
  Scale                –   Ocean-atmosphere interactions
  Productivity
  Big Models
                  •   Developed framework for climate predictability and prediction
  Big Data        •   Showed that model fidelity determines model predictability
                  •   Developed and contributed GrADS to the climate research and prediction
Conclusion            community
                  •   Organized multi-institutional, multi-model modeling projects

                                                ONR Briefing – 24 May 2012                  COLA Overview   7
Introduction
  Welcome
  Goals


Uniqueness
                                Recent Advances
Accomplishments
                  •   Established a scientific rationale for regional multi-year prediction
Recent Advances   •   Discovered a new mechanism of overlooked land-driven predictability
                      associated with spring-summer growing season transition
Service           •   Determined that ocean analysis is critical to ENSO prediction accuracy and
  Leadership
  Operations
                      that multi-analysis ensembles are a viable method to overcome uncertainty
                      in ocean states
Education
                  •   Established a scientific basis for decadal prediction
                  •   Developed a method that extracts predictability at all time scales
Critical Mass     •   Quantified how and why the extratropical response to ENSO changes as the
  Team
  Scale               global climate warms
  Productivity
  Big Models
                  •   Developed a simple conceptual model of interannual variations of Indian
  Big Data            monsoon rainfall: linear combination of boundary-forced seasonal a
                      statistical average of intra-seasonal variations
Conclusion

                                             Also – see Science Highlights

                                             ONR Briefing – 24 May 2012             COLA Overview   8
                  Leading Predictable Component: Internal
Introduction
  Welcome
  Goals


Uniqueness              Multidecadal Pattern (IMP)
Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion




                              ONR Briefing – 24 May 2012   COLA Overview   9
Introduction
  Welcome


                  IMP and the Global Warming Trend
  Goals


Uniqueness


Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion




                           ONR Briefing – 24 May 2012   COLA Overview   10
Introduction
  Welcome
  Goals


Uniqueness
                          Mean Precipitation Change in
Accomplishments
                   Europe’s Growing Season: 21st C minus 20th C
Recent Advances


Service
                     T159                                                      T1279
  Leadership       (128-km)                                                   (16-km)
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion

                  “Time-slice” runs of the ECMWF IFS with observed SST for the 20th century and CMIP3 projections
                                      of SST for the 21st century at two different model resolutions.
                                                 ONR Briefing – 24 May 2012                    COLA Overview   11
Introduction
  Welcome
  Goals
                     Future Change in Extreme Summer Drought
Uniqueness
                              Late 20th C to Late 21st C
Accomplishments


Recent Advances
                                                                                         4X probability of
                                                                                         extreme summer
Service                                                                                  drought in Great Plains,
  Leadership                                                                             Florida, Yucutan, and
  Operations
                                                                                         parts of Eurasia

Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion        10th Percentile Drought: Number of years out of 47 in a simulation of future climate (2071-2117) for which the June-August
                              mean rainfall was less than the 5th driest year of 47 in a simulation of current climate (1961-2007).
                  Dirmeyer, P. A., B. A. Cash, J. L. Kinter III, T. Jung, L. Marx, C. Stan, P. Towers, N. Wedi, J. M. Adams, E. L. Altshuler, B. Huang, E. K. Jin, and
                        J. Manganello, 2012: Evidence for enhanced land-atmosphere feedback in a warming climate. J. Hydrometeor., (in press).
                                                                  ONR Briefing – 24 May 2012                                              COLA Overview        12
Introduction
  Welcome
  Goals


Uniqueness
                  COLA in the Nation’s Service
Accomplishments


Recent Advances   • Leadership of national and international
Service
  Leadership
                    initiatives
  Operations


Education
                  • Direct impact on operational prediction
Critical Mass
  Team
                  • Honest broker role among major modeling
  Scale
  Productivity
  Big Models
                    groups
  Big Data


Conclusion




                                ONR Briefing – 24 May 2012   COLA Overview   13
Introduction


                  Panels and Working Groups
  Welcome
  Goals


Uniqueness


Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion




                          ONR Briefing – 24 May 2012   COLA Overview   14
                  COLA Leadership – Current Examples
Introduction
  Welcome
  Goals


Uniqueness         Journal Editors:       Adv. Atmospheric Science (Huang)
                                          Climate Dynamics (Schneider)
Accomplishments
                                          J. Climate (DelSole)
                   IPCC AR5 (DelSole, Lu, contributing authors)
Recent Advances           Climate change assessment; also contributions from others (e.g. ZOD and FOD reviewers)

                   Int’l Advisory Panel for Weather and Climate, India (Shukla, chair; Palmer, Uccellini, members)
Service                   Advise Indian government on weather forecasting and climate prediction (research and operations)
  Leadership
  Operations       NRC BASC Panel on Advancing Climate Modeling (Kinter, member)
                          Advise US government on climate modeling strategy for 10-20 year horizon

Education          UCAR Community Advisory Committee for NCEP (Kinter, co-chair)
                          Advise NCEP on strategic direction for 5-10 year horizon

Critical Mass      US CLIVAR PPAI Panel (Stan, member)
  Team                    Set agenda for Predictability, Predictions and Applications Interface
  Scale
  Productivity     Asia- Pacific Climate Center Scientific Advisory Committee (Wang & Shukla, co-chairs)
  Big Models
                          Advise APCC on improving climate prediction in the Asia-Pacific region
  Big Data

                   World Climate Modeling Summit (Shukla, chair; Kinter, member)
Conclusion                Very successful meeting in May 2008  multiple BAMS articles in 2010




                                                        ONR Briefing – 24 May 2012                                   COLA Overview   15
Introduction
  Welcome
  Goals


Uniqueness
                     Congratulations, Shukla!
Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education
                                  Smt. Pratibha
                                Devisingh Patil,
Critical Mass                 President of India
  Team
  Scale
  Productivity

                      Shukla Receives 2012
  Big Models
  Big Data


Conclusion
                         Padma Shri Award
                  from Government of India
                                        ONR Briefing – 24 May 2012   COLA Overview   16
Introduction
  Welcome
  Goals


Uniqueness
                  Direct Impact on Operational Prediction
Accomplishments

                  •   Real-time seasonal forecast ensembles with CCSM3 (in collaboration with U. Miami)
Recent Advances
                       –   Forecasts provided to NCEP, IRI (tier-2 forecasts provided to IRI, APCC)
                  •   Experimentation with CFS and CFSv2
Service                –   52 papers published 2007-2011
  Leadership
  Operations      •   COLA was instrumental in introducing CFS to IITM; acknowledged in published papers:
                       –   Pokhrel et al., 2012: ENSO, IOD and IMR in CFS coupled simulations. Climate Dyn.
                       –   Chaudhari et al., 2012: Model biases in NCEP CFS in IMR. Int. J. Climatology.
Education
                  •   GrADS is in use as critical tool for operational climate prediction, including new GIS
                      capability added specifically for CPC requirements
Critical Mass
  Team
                  •   NMME – National Multi-Model Ensemble
  Scale                –   Proposal to CPO FY12 AO: real-time seasonal forecast ensembles (COLA providing CCSM4; in
  Productivity             collaboration with ESRL, GFDL, GMAO, U. Miami, NCAR, IRI, Princeton, and NCEP)
  Big Models           –   Heavy leveraging of COLA I-S-I project and results
  Big Data
                  •   Design of next generation operational ISI prediction model
                       –   COLA and CTB spearheading groundbreaking R2O activity
Conclusion                   • Involving research scientists from outside NCEP and including private sector input
                             • Very successful workshop on 25-26 August 2011
                             • CFSv2 Evaluation Workshop planned for 30 April – 1 May 2012 at ESSIC

                                                       ONR Briefing – 24 May 2012                             COLA Overview   17
                   Educating the Next Generation of Earth
Introduction
  Welcome
  Goals


Uniqueness
                              System Modelers
Accomplishments
                  COLA and George Mason University (GMU) established a new Ph.D. Program in
Recent Advances   Climate Dynamics (CLIM) in 2003. CLIM is now part of the Department of
                  Atmospheric, Oceanic and Earth Sciences (AOES).
Service
  Leadership
  Operations
                  Climate Dynamics Faculty
                  Faculty (0.5 FTE):           Boybeyi, Chiu, DelSole, Dirmeyer, Huang, Jin, Kinter, Klinger, Lu,
Education                                      Schneider, Schopf, Shukla (Director, CLIM; founding chair of AOES),
                                               Stan, Straus (chair, AOES)
Critical Mass     Adjunct:                     Doty, Krishnamurthy
  Team
  Scale           Current Graduate Students (18)
  Productivity         •     A. Badger (Dirmeyer)        •   A. Hazra (Klinger)                      •   M. Scafonas (Lu)
  Big Models
                       •     G. Bucher (Boybeyi)         •   Y. Jin (Stan)                           •   B. Singh (Krishnamurthy)
  Big Data
                       •     H. Chen (Schneider)         •   L. Krishnamurthy (Krishnamurthy)        •   A. Srivastava (Shukla/Huang)
                       •     I. Colfescu (Schneider)     •   E. Lajoie (DelSole)                     •   E. Stofferahn (Boybeyi)
Conclusion
                       •     X. Feng (Lu)                •   J. Nattala (Kinter)                     •   E. Swenson (Straus)
                       •     A. Garuba (Klinger)         •   E. Palipane (Lu)                        •   X. Yan (DelSole)
                                                                                Bold = 2012 graduate
                                                       ONR Briefing – 24 May 2012                                     COLA Overview     18
Introduction
  Welcome
  Goals
                                                2002-2011 GMU Climate Dynamics PhD Recipients
Uniqueness        Deepthi Achuthavarier     Role of the Indian and Pacific Oceans in Indian Summer Monsoon           Research Scientist
                                            Variability                                                              NASA Goddard
                  Whit Anderson             Oceanic Sill - Overflow Systems: Investigation and Simulation with the   Research Scientist
Accomplishments                             Poseidon OGCM                                                            NOAA GFDL
                  Kristi Arsenault (2011)   Impact of Model and Observational Error on Assimilating Snow Cover       Research Scientist
Recent Advances                             Fraction Observations                                                    NASA Goddard
                  Susan Bates               The Role of the Annual Cycle in the Coupled Ocean-Atmosphere             Research Scientist
                                            Variability in the Tropical Atlantic Ocean                               NCAR
Service
  Leadership      Robert Burgman            ENSO Decadal Variability in a Tropically-Forced Hybrid Coupled Model     Assistant Professor
  Operations                                                                                                         Florida International University
                  Carlos Cruz               Global Ocean Circulation Variability Induced by Southern Ocean Winds     Research Scientist
Education                                                                                                            NASA Goddard
                  Meizhu Fan                Low Frequency North Atlantic SST Variability: Weather Noise Forcing      Research Scientist
                                            and Coupled Response                                                     NOAA NESDIS
Critical Mass
  Team            Xia Feng                  New Methods For Estimating Seasonal Potential Climate Predictability     Post-doctoral Research Scientist
  Scale                                                                                                              George Mason University
  Productivity
                  Laura Feudale             Extreme Events in Europe & N. America During 1950-2003: An               Research Scientist
  Big Models
                                            Observational & Modeling Study                                           ARPA/OSER (Italy)
  Big Data
                  Youkyoung Jang (2011)     The Atmospheric Influence of Tropical Diabatic Heating Associated with   Post-doctoral Research Scientist
                                            Developing ENSO on Indian Monsoon                                        Florida International University
Conclusion
                  Liwei Jia (2011)          Robust Multi-year Predictability on Continental Scales                   Post-doctoral Research Scientist
                                                                                                                     COLA



                                                               ONR Briefing – 24 May 2012                                             COLA Overview     19
Introduction
  Welcome
  Goals
                                          2002-2011 GMU Climate Dynamics PhD Recipients
Uniqueness        Daeho Jin           The Impact of ENSO on the Extratropics                                       Post-doctoral Research Scientist
                                                                                                                   University of Maryland, College Park

Accomplishments   Jian Li (2011)      SST Diurnal Variability in the CFS and its Influence on Low Frequency        Research Scientist
                                      Variability                                                                  NOAA NESDIS
                  Julia Manganello    The Influence of SST Anomalies on Low-Frequency Variability of the           Research Scientist
Recent Advances                       North Atlantic Oscillation                                                   COLA
                  Bala Narapusetty    Impact Of Tropical Instability Waves In The Eastern Equatorial Pacific       Post-doctoral Research Scientist
Service                                                                                                            COLA
  Leadership
                  Xiaohua Pan         Impact of Mean Climate on ENSO Simulation and Prediction                     Post-doctoral Research Scientist
  Operations
                                                                                                                   University of Maryland, Baltimore County
                  Kathy Pegion        Potential Predictability of Tropical Intraseasonal Variability in the NCEP   Post-doctoral Research Scientist
Education                             CFS                                                                          CIRES, University of Colorado
                  Mary Ellen Verona   Observational Analysis and Numerical Simulation of 1997-1998 El Niño         deceased
Critical Mass     Yuri Vikhliaev      Decadal Extra-Tropical Pacific Variability                                   Post-doctoral Research Scientist
  Team                                                                                                             NASA Goddard
  Scale
  Productivity    Li Xu (2011)        Snow Cover as a Source of Climate Predictability: Mechanisms of Snow-        Research Scientist
  Big Models                          Atmosphere Coupling                                                          COLA
  Big Data
                  Tugrul Yilmaz       Improving Land Data Assimilation Performance With A Water Budget             Post-doctoral Research Scientist
                                      Constraint                                                                   U.S. Department of Agriculture
Conclusion




                                                          ONR Briefing – 24 May 2012                                                COLA Overview         20
Introduction
  Welcome
  Goals
                  CLIM 101: Global
Uniqueness
                  Warming - Weather,
Accomplishments
                  Climate and Society
Recent Advances
                  General Education Natural Science (non-laboratory)
Service           undergraduate course that surveys the scientific and societal
  Leadership
  Operations
                  issues associated with weather and climate variability and
                  change. CLIM 101 enables students to critically examine
Education
                  arguments being discussed by policy makers, corporations, and
                  the public at large. Scientific basics, potential impacts, decision-
Critical Mass     making under uncertainty, and policy challenges are all
  Team
  Scale
                  discussed. In a course capstone project, students prepare
  Productivity    briefings to the Governor of Virginia on the impact of changing
  Big Models
                  climate on various sectors of the Commonwealth’s socio-
                                                                                 Offered since 2008
  Big Data
                  economic fabric.
Conclusion
                  Instructors:
                                                                        47 students enrolled in 2011
                  Jim Kinter and Jagadish Shukla                   ~100 students anticipated in 2012
                                                   ONR Briefing – 24 May 2012            COLA Overview   21
Introduction
  Welcome
  Goals


Uniqueness
                             Critical Mass
Accomplishments


Recent Advances   • Multi-agency funding – keeping a team of
Service
                    excellence together
                  • Testing hypotheses that require large
  Leadership
  Operations


Education           resources – often not possible by individual
Critical Mass
                    PIs
                  • High productivity
  Team
  Scale
  Productivity

                  • Working with
  Big Models
  Big Data


Conclusion          – Large, complex models
                    – Large complex data sets
                                  ONR Briefing – 24 May 2012   COLA Overview   22
Introduction
  Welcome
  Goals                               “Omnibus” Funding
Uniqueness         COLA is a private, non-profit research institute supported by NSF (lead), NOAA and NASA
                         through a single jointly-peer-reviewed *, jointly-funded five-year proposal.
Accomplishments
                  2009-2014 Predictability of the Physical Climate System
                                       Funding: ~$3.6 M / yr
Recent Advances                        Principal Investigator:        Kinter
                                       Co-Investigators:              Cash, DelSole, Dirmeyer, Huang, Jin, Klinger,
                                                                      Krishnamurthy, Schneider, Shukla, Straus
Service
  Leadership      2004-2008 Predictability of Earth’s Climate
  Operations                           Funding: ~$3.25M / yr (NSF - 46%; NOAA - 39%; NASA - 15%)
                                       Principal Investigator:         Shukla
Education                              Co-Investigators:               DelSole, Dirmeyer, Huang, Kinter, Kirtman, Klinger,
                                                        Krishnamurthy, Misra, Schneider, Schopf, Straus

Critical Mass     1999-2003 Predictability and Variability of the Present Climate
  Team                                 Funding: ~$2.75M / yr
  Scale
                                       Principal Investigator:        J. Shukla
  Productivity
  Big Models                           Co-PIs:                        J. Kinter, E. Schneider, P. Schopf, D. Straus
  Big Data                             Co-investigators:              P. Dirmeyer, B. Huang, B. Kirtman

                  1994-1998 Predictability and Variability of the Present Climate
Conclusion                             Funding: $2.25M /yr
                                       Principal Investigator:        J. Shukla
                                       Co-PIs:                        J. Kinter, E. Schneider, D. Straus
                                                                                                       * Thanks to our peers and the agencies
                                                   ONR Briefing – 24 May 2012                                         COLA Overview     23
Introduction


                            “Omnibus” Funding
  Welcome
  Goals


Uniqueness
                     COLA is viewed as a major interagency National center of excellence:
Accomplishments


Recent Advances   Box 5-1 Major Interagency Programs
Service
  Leadership
  Operations
                  • U.S. Climate Change Science Program (CCSP)
Education

                  • U.S. Weather Research Program (USWRP)
Critical Mass
  Team
  Scale
  Productivity    • National Space Weather Program (NSWP)
  Big Models
  Big Data

                  • Center for Ocean-Land-Atmosphere Studies (COLA)
                                             2006
Conclusion




                                         ONR Briefing – 24 May 2012             COLA Overview   24
Introduction                                              COLA Multi-Agency Funded Core Team
  Welcome
                                                      Staff Member                   Highest Degree              Joined COLA
  Goals
                                                                                   Scientific Staff
                  Pres., IGES (1993-present)    1         J. Shukla *       Sc.D. MIT (1976); Ph.D. BHU (1971)      1983
Uniqueness            Dir. COLA (1993-2004)
                                                2      J. L. Kinter III *          Ph.D. Princeton (1984)           1984       Exec. Dir. COLA (1993-2004)
                                                                                                                               Dir. COLA (2005-present)
                                                3    E. Altshuler                  M.S. Maryland (1996)             1998
Accomplishments                                 4           B. Cash               Ph.D. Penn State (2000)           2002
                                                5        T. DelSole *             Ph.D. Harvard (1993)              1997
Recent Advances                                 6    P. A. Dirmeyer *              Ph.D. Maryland (1992)            1993
                                                7        B. E. Doty *               B.S. N. Illinois (1978)         1984
                                                8      M. J. Fennessy        M.S. SUNY-Albany (1980)                1984
Service
  Leadership
                                                9           Z. Guo           Ph.D. Ohio State (2002)                2002
  Operations                                   10    B. Huang *              Ph.D. Maryland (1992)                  1993
                                               11    B. Klinger *                 Ph.D. MIT-WHOI (1992)             2000
                                               12   V. Krishnamurthy *       Ph.D. M.I.T. (1985)                    1985
Education
                                               13            J. Lu *               Ph.D. Dalhousie (2003)           2008
                                               14           L. Marx               M.S. MIT (1977)                   1983
Critical Mass                                  15    D. A. Paolino                M.S. Illinois (1980)              1983
  Team                                         16    E. K. Schneider *                  Ph.D. Harvard (1976)        1984
  Scale
  Productivity                                 17          C. Stan *            Ph.D. Colorado State (2004)         2005
  Big Models                                   18    D. M. Straus *                 Ph.D. Cornell (1977)            1984       Your most precious
  Big Data                                                                                                                     possessions are the
                                                                            Information Systems Staff
                                                                                                                               people you have
                                               1       J. M. Adams               M.S. Washington (1993)             2000       working there, and
Conclusion                                     2       C. Steinmetz               Ph.D. Purdue (1991)               1998       what they carry around
                                               3     T. Wakefield                 B.S. Maryland (2004)              2000       in their heads, and
                                                    • Also affiliated with George Mason University                             their ability to work
                                                               Over 400 person-years experience together                       together.
                                                                                                                                         - Robert Reich
                                                                 ONR Briefing – 24 May 2012                                    COLA Overview      25
Introduction
  Welcome
  Goals


Uniqueness


Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion




                  ONR Briefing – 24 May 2012   COLA Overview   26
                                             COLA Publications
Introduction
  Welcome
  Goals


Uniqueness                          > 550 peer-reviewed publications since 1993
                  100
Accomplishments
                             In review
                  90
                             CTRs
Recent Advances
                  80         In press
                             Published
Service           70
  Leadership
  Operations
                  60


Education         50


                  40
Critical Mass
  Team
  Scale           30
  Productivity
  Big Models      20
  Big Data

                  10
Conclusion
                   0
                        1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011


                                                  ONR Briefing – 24 May 2012                        COLA Overview   27
Introduction
  Welcome
  Goals
                     Experimentation with the Nation’s
Uniqueness                   Climate Models
Accomplishments


Recent Advances
                          NCAR               NCEP                         GFDL           GMAO
                          CAM4               GFS2                         AM2            GEOS5
Service
  Leadership
  Operations      CICE4   CLM4    SIS       NOAH                  SIS     LM2    CICE    Catchment
                                  (mod)


Education            POP4            MOM4                           MOM4            MOM4
Critical Mass
                      CPL7                ESMF                          FMS             ESMF
  Team
  Scale
  Productivity
  Big Models
                   CCSM4             CFSv2                         CM2.x         GEOS_CM
  Big Data         CESM1            (CFSv1)
Conclusion

                                 Multi-Model Ensemble
                                     ONR Briefing – 24 May 2012                  COLA Overview   28
Introduction
  Welcome
  Goals


Uniqueness
                                    Big Data at COLA
Accomplishments
                  • Large data sets:
Recent Advances      • CMIP5: samples from PIControl, Historical, AMIP, Decadal, RCP4.5, and
                       RCP8.5 for 18 models (10 TB; 33K data sets)
Service
  Leadership
                          • People from other labs (IRI, CCCma) are asking COLA for the data!!
  Operations
                     •   CFSv2: All NCEP seasonal hindcasts; decadal predictions
Education
                     •   NMME: 7 models, 25 years of hindcasts
                     •   Athena: ECMWF and JAMSTEC ultra-high resolution models
Critical Mass        •   Atmospheric and oceanic reanalyses: NCEP, NARR, MERRA, CFS-R, ERA-
  Team
  Scale                  40, ERA-Interim, ESRL-20C, JRA, GSWP, GODAS, SODA, ECDA, ORA-S3,
  Productivity           ORA-S4, and COMBINE-NV
  Big Models
  Big Data
                  • COLA recently adopted a more cost-effective design to
Conclusion
                    isolate and curate frequently used static data (shared)
                    and promote best practices among data curators, users
                                             ONR Briefing – 24 May 2012                  COLA Overview   29
                                                            GrADS
Introduction
  Welcome
  Goals


Uniqueness

                  •   COLA’s long-term, stable, multi-agency funding enables GrADS to be both nimbly
Accomplishments
                      responsive to user needs and dedicated to long-term design and planning.
Recent Advances
                  •   GrADS is an essential tool for COLA research and data management (at COLA and at
Service               NCAR) and essential to the climate analysis research and operations community.
  Leadership
  Operations
                  •   GrADS has over 86,000 users worldwide
Education
                       –   No comparable non-commercial geoscience software
Critical Mass          –   GrADS figures are frequently found in weather and climate journals
  Team
  Scale
  Productivity         –   GrADS is used to generate images on many weather and climate web pages hosted by NOAA,
  Big Models               NASA, Universities, and a variety of International Agencies (http://iges.org/grads/gotw.html)
  Big Data

                  •   Open source development model has inspired investment in GrADS by other groups,
Conclusion
                      notably the OpenGrADS and PyGrADS projects at NASA Goddard


                                                  ONR Briefing – 24 May 2012                         COLA Overview   30
Introduction
  Welcome
  Goals


Uniqueness
                  GrADS: 86,000 Users Worldwide
Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data


Conclusion
                  Downloads from COLA
                  February 2010 - Present


                                            ONR Briefing – 24 May 2012   COLA Overview   31
Introduction
  Welcome
  Goals


Uniqueness        GrADS: On Your Favorite Web Sites
Accomplishments


Recent Advances


Service
  Leadership
  Operations


Education


Critical Mass
  Team
  Scale
  Productivity
  Big Models
  Big Data

                                                               Climate Prediction Center
Conclusion
                                                               Arctic Oscillation Monitor
                                                          http://www.cpc.ncep.noaa.gov/products/prec
                                                                   ip/CWlink/daily_ao_index/hgt.shtml
                             ONR Briefing – 24 May 2012                         COLA Overview   32
Introduction
  Welcome
  Goals


Uniqueness
                                          Summary
Accomplishments


Recent Advances
                  •   NSF, NOAA and NASA can take credit for creating COLA: a unique institution
                      organized to support highly productive, excellent research, graduate
                      education and service to the Nation
Service
  Leadership      •   COLA’s innovative contributions are widely recognized and have significantly
  Operations
                      influenced our current understanding of climate dynamics
                  •   COLA provides leadership in climate research and education, initiates
Education
                      national and international research programs, and strongly influences the
                      direction of operational climate prediction
Critical Mass
  Team            •   COLA is the home of GrADS, a software package that revolutionized the
  Scale
  Productivity
                      practice of climate analysis when it was introduced 20 years ago and that
  Big Models          continues to be the tool of choice for climate data analysis and visualization
  Big Data
                  •   Graduates of the Climate Dynamics PhD program are taking up climate
                      research positions and helping shape the future of Earth system modeling
Conclusion




                                              ONR Briefing – 24 May 2012               COLA Overview   33

								
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