VIEWS: 26 PAGES: 33 POSTED ON: 1/23/2014
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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