Overview Office of Naval Research 24 May 2012. ONR Briefing – 24 May 2012 COLA Overview Vision and...
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Transcript of Overview Office of Naval Research 24 May 2012. ONR Briefing – 24 May 2012 COLA Overview Vision and...
Overview
Office of Naval Research24 May 2012
ONR Briefing – 24 May 2012 COLA Overview 2
Vision and Mission
MISSIONBasic and applied research and educating the next generation to
explore, establish and quantify the predictability and prediction of intra-seasonal to decadal variability
in a probabilistic framework and in the context of a changing climate
VISIONGlobal society benefits
from improved understanding ofclimate variability and predictability
and free and open access to data and research tools
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 3
Scientific Advisory Committee
The SAC reviews and advises on scientific activities at COLA.
Current members selected in consultation with the Federal agencies:
J. Hurrell NCAR 2010 – ; chair 2011 – D. Lettenmaier U Washington 2011 –
T. Palmer ECMWF 2010 – S. Schubert NASA Goddard 2002 –
L. Uccellini NOAA NCEP 2007 – B. Wang U Hawaii 2005 –
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 4
Scientific Advisory CommitteeFormer members of the COLA SAC:
D. Anderson ECMWF 2005-2009
L. Bengtsson MPI 1998-2001
G. Branstator NCAR 1999-2010
D. Burridge ECMWF 1994-1999; 2001-2005
A. Busalacchi U Maryland 1994-1997
R. Dickinson U Texas 1998-2010; chair 2004-2010
D. Hartmann U Washington 1998-2005; chair 1999-2003
A. Leetmaa GFDL 2000-2005
R. Mechoso UCLA 1994-1998
K. Miyakoda IMGA (Italy) 1994-1997
G. North Texas A&M 1999-2005
Julia Paegle U Utah 1994-1997
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
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 5
Uniqueness• Critical mass of excellent climate scientists working together• Desire, capability to experiment with multiple national models• Stable, multi-agency funding and external expert advice• Scientific leadership in national/international climate research• Co-sponsorship with GMU of PhD program in Climate Dynamics• Highly-valued, widely-used software: GrADS• High-capacity in-house computing facility• Building global capacity: creating & advancing research
institutions
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 6
Advantages of COLA Uniqueness• New Ideas and Accomplishments • Recent Advances • COLA in the Nation’s Service• Educating the Next Generation of Earth
System Modelers• Critical Mass
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 7
Accomplishments over 20 YearsCOLA is an environment for research that enables scientists to test new ideas and pose a “credible threat” to old ones• Established scientific basis for dynamical S-I prediction• Established critical role of land surface in climate predictability• Established feasibility of reanalysis• Advanced the multi-model ensemble• Helped quantify limits of climate predictability
– Land-atmosphere interactions – Ocean-atmosphere interactions
• Developed framework for climate predictability and prediction• Showed that model fidelity determines model predictability• Developed and contributed GrADS to the climate research and prediction community• Organized multi-institutional, multi-model modeling projects
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 8
Recent Advances• Established a scientific rationale for regional multi-year prediction• Discovered a new mechanism of overlooked land-driven predictability associated
with spring-summer growing season transition• Determined that ocean analysis is critical to ENSO prediction accuracy and that multi-
analysis ensembles are a viable method to overcome uncertainty in ocean states• Established a scientific basis for decadal prediction• Developed a method that extracts predictability at all time scales• Quantified how and why the extratropical response to ENSO changes as the global
climate warms• Developed a simple conceptual model of interannual variations of Indian monsoon
rainfall: linear combination of boundary-forced seasonal a statistical average of intra-seasonal variations
Also – see Science Highlights
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 9
Leading Predictable Component: Internal Multidecadal Pattern (IMP)
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 10
IMP and the Global Warming TrendIntroduction
WelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 11
Mean Precipitation Change inEurope’s Growing Season: 21st C minus 20th C
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig 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.
T159 (128-km)
T1279 (16-km)
ONR Briefing – 24 May 2012 COLA Overview 12
Future Change in Extreme Summer Drought Late 20th C to Late 21st C
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
4X probability of extreme summer drought in Great Plains, Florida, Yucutan, and parts of Eurasia
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 13
COLA in the Nation’s Service• Leadership of national and international
initiatives• Direct impact on operational prediction• Honest broker role among major modeling
groups
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 14
Panels and Working GroupsIntroduction
WelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 15
Journal Editors: Adv. Atmospheric Science (Huang)Climate Dynamics (Schneider)J. Climate (DelSole)
IPCC AR5 (DelSole, Lu, contributing authors)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)Advise Indian government on weather forecasting and climate prediction (research and operations)
NRC BASC Panel on Advancing Climate Modeling (Kinter, member) Advise US government on climate modeling strategy for 10-20 year horizon
UCAR Community Advisory Committee for NCEP (Kinter, co-chair)Advise NCEP on strategic direction for 5-10 year horizon
US CLIVAR PPAI Panel (Stan, member)Set agenda for Predictability, Predictions and Applications Interface
Asia- Pacific Climate Center Scientific Advisory Committee (Wang & Shukla, co-chairs)Advise APCC on improving climate prediction in the Asia-Pacific region
World Climate Modeling Summit (Shukla, chair; Kinter, member) Very successful meeting in May 2008 multiple BAMS articles in 2010
COLA Leadership – Current ExamplesIntroduction
WelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 16
Congratulations, Shukla!
Shukla Receives 2012 Padma Shri Award
from Government of India
Smt. Pratibha Devisingh Patil,
President of India
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 17
Direct Impact on Operational Prediction • Real-time seasonal forecast ensembles with CCSM3 (in collaboration with U. Miami)
– Forecasts provided to NCEP, IRI (tier-2 forecasts provided to IRI, APCC)• Experimentation with CFS and CFSv2
– 52 papers published 2007-2011• 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.
• GrADS is in use as critical tool for operational climate prediction, including new GIS capability added specifically for CPC requirements
• NMME – National Multi-Model Ensemble– Proposal to CPO FY12 AO: real-time seasonal forecast ensembles (COLA providing CCSM4; in collaboration with
ESRL, GFDL, GMAO, U. Miami, NCAR, IRI, Princeton, and NCEP)– Heavy leveraging of COLA I-S-I project and results
• Design of next generation operational ISI prediction model – COLA and CTB spearheading groundbreaking R2O activity
• 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
IntroductionWelcomeGoals
Uniqueness
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ServiceLeadershipOperations
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Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 18
COLA and George Mason University (GMU) established a new Ph.D. Program in Climate Dynamics (CLIM) in 2003. CLIM is now part of the Department of Atmospheric, Oceanic and Earth Sciences (AOES).
Current Graduate Students (18)• A. Badger (Dirmeyer)• G. Bucher (Boybeyi)• H. Chen (Schneider)• I. Colfescu (Schneider)• X. Feng (Lu)• A. Garuba (Klinger)
• A. Hazra (Klinger)• Y. Jin (Stan)• L. Krishnamurthy (Krishnamurthy)• E. Lajoie (DelSole)• J. Nattala (Kinter)• E. Palipane (Lu)
• M. Scafonas (Lu)• B. Singh (Krishnamurthy)• A. Srivastava (Shukla/Huang)• E. Stofferahn (Boybeyi)• E. Swenson (Straus)• X. Yan (DelSole)
Climate Dynamics FacultyFaculty (0.5 FTE): Boybeyi, Chiu, DelSole, Dirmeyer, Huang, Jin, Kinter, Klinger, Lu,
Schneider, Schopf, Shukla (Director, CLIM; founding chair of AOES), Stan, Straus (chair, AOES)
Adjunct: Doty, Krishnamurthy
Bold = 2012 graduate
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
Educating the Next Generation of Earth System Modelers
ONR Briefing – 24 May 2012 COLA Overview 19
2002-2011 GMU Climate Dynamics PhD RecipientsDeepthi Achuthavarier Role of the Indian and Pacific Oceans in Indian Summer Monsoon
VariabilityResearch ScientistNASA Goddard
Whit Anderson Oceanic Sill - Overflow Systems: Investigation and Simulation with the Poseidon OGCM
Research ScientistNOAA GFDL
Kristi Arsenault (2011) Impact of Model and Observational Error on Assimilating Snow Cover Fraction Observations
Research ScientistNASA Goddard
Susan Bates The Role of the Annual Cycle in the Coupled Ocean-Atmosphere Variability in the Tropical Atlantic Ocean
Research ScientistNCAR
Robert Burgman ENSO Decadal Variability in a Tropically-Forced Hybrid Coupled Model Assistant ProfessorFlorida International University
Carlos Cruz Global Ocean Circulation Variability Induced by Southern Ocean Winds Research ScientistNASA Goddard
Meizhu Fan Low Frequency North Atlantic SST Variability: Weather Noise Forcing and Coupled Response
Research ScientistNOAA NESDIS
Xia Feng New Methods For Estimating Seasonal Potential Climate Predictability Post-doctoral Research ScientistGeorge Mason University
Laura Feudale Extreme Events in Europe & N. America During 1950-2003: An Observational & Modeling Study
Research ScientistARPA/OSER (Italy)
Youkyoung Jang (2011) The Atmospheric Influence of Tropical Diabatic Heating Associated with Developing ENSO on Indian Monsoon
Post-doctoral Research ScientistFlorida International University
Liwei Jia (2011) Robust Multi-year Predictability on Continental Scales Post-doctoral Research ScientistCOLA
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 20
2002-2011 GMU Climate Dynamics PhD RecipientsDaeho Jin The Impact of ENSO on the Extratropics Post-doctoral Research Scientist
University of Maryland, College Park
Jian Li (2011) SST Diurnal Variability in the CFS and its Influence on Low Frequency Variability
Research ScientistNOAA NESDIS
Julia Manganello The Influence of SST Anomalies on Low-Frequency Variability of the North Atlantic Oscillation
Research ScientistCOLA
Bala Narapusetty Impact Of Tropical Instability Waves In The Eastern Equatorial Pacific Post-doctoral Research ScientistCOLA
Xiaohua Pan Impact of Mean Climate on ENSO Simulation and Prediction Post-doctoral Research ScientistUniversity of Maryland, Baltimore County
Kathy Pegion Potential Predictability of Tropical Intraseasonal Variability in the NCEP CFS
Post-doctoral Research ScientistCIRES, University of Colorado
Mary Ellen Verona Observational Analysis and Numerical Simulation of 1997-1998 El Niño deceased
Yuri Vikhliaev Decadal Extra-Tropical Pacific Variability Post-doctoral Research ScientistNASA Goddard
Li Xu (2011) Snow Cover as a Source of Climate Predictability: Mechanisms of Snow-Atmosphere Coupling
Research ScientistCOLA
Tugrul Yilmaz Improving Land Data Assimilation Performance With A Water Budget Constraint
Post-doctoral Research ScientistU.S. Department of Agriculture
IntroductionWelcomeGoals
Uniqueness
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Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 21
CLIM 101: Global Warming - Weather, Climate and Society
General Education Natural Science (non-laboratory) undergraduate course that surveys the scientific and societal issues associated with weather and climate variability and change. CLIM 101 enables students to critically examine arguments being discussed by policy makers, corporations, and the public at large. Scientific basics, potential impacts, decision-making under uncertainty, and policy challenges are all discussed. In a course capstone project, students prepare briefings to the Governor of Virginia on the impact of changing climate on various sectors of the Commonwealth’s socio-economic fabric.
Instructors: Jim Kinter and Jagadish Shukla
Offered since 200847 students enrolled in 2011
~100 students anticipated in 2012
IntroductionWelcomeGoals
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Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 22
Critical Mass• Multi-agency funding – keeping a team of
excellence together • Testing hypotheses that require large resources
– often not possible by individual PIs• High productivity • Working with
– Large, complex models– Large complex data sets
IntroductionWelcomeGoals
Uniqueness
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Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 23
“Omnibus” Funding
1994-1998 Predictability and Variability of the Present ClimateFunding: $2.25M /yr Principal Investigator: J. ShuklaCo-PIs: J. Kinter, E. Schneider, D. Straus
1999-2003 Predictability and Variability of the Present ClimateFunding: ~$2.75M / yrPrincipal Investigator: J. ShuklaCo-PIs: J. Kinter, E. Schneider, P. Schopf, D. StrausCo-investigators: P. Dirmeyer, B. Huang, B. Kirtman
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.
* Thanks to our peers and the agencies
2009-2014 Predictability of the Physical Climate SystemFunding: ~$3.6 M / yrPrincipal Investigator: KinterCo-Investigators: Cash, DelSole, Dirmeyer, Huang, Jin, Klinger,
Krishnamurthy, Schneider, Shukla, Straus
2004-2008 Predictability of Earth’s ClimateFunding: ~$3.25M / yr (NSF - 46%; NOAA - 39%; NASA - 15%)Principal Investigator: ShuklaCo-Investigators: DelSole, Dirmeyer, Huang, Kinter, Kirtman, Klinger,
Krishnamurthy, Misra, Schneider, Schopf, Straus
IntroductionWelcomeGoals
Uniqueness
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Recent Advances
ServiceLeadershipOperations
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Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 24
“Omnibus” FundingCOLA is viewed as a major interagency National center of excellence:
2006
Box 5-1 Major Interagency Programs
• U.S. Climate Change Science Program (CCSP)
• U.S. Weather Research Program (USWRP)
• National Space Weather Program (NSWP)
• Center for Ocean-Land-Atmosphere Studies (COLA)
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 25
Your most precious possessions are the people you have working there, and what they carry around in their heads, and their ability to work together.
- Robert Reich
COLA Multi-Agency Funded Core Team Staff Member Highest Degree Joined COLA
Scientific Staff1 J. Shukla * Sc.D. MIT (1976); Ph.D. BHU (1971) 19832 J. L. Kinter III * Ph.D. Princeton (1984) 1984 3 E. Altshuler M.S. Maryland (1996) 19984 B. Cash Ph.D. Penn State (2000) 20025 T. DelSole * Ph.D. Harvard (1993) 19976 P. A. Dirmeyer * Ph.D. Maryland (1992) 1993 7 B. E. Doty * B.S. N. Illinois (1978) 19848 M. J. Fennessy M.S. SUNY-Albany (1980) 1984
9 Z. Guo Ph.D. Ohio State (2002) 2002
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
13 J. Lu * Ph.D. Dalhousie (2003) 200814 L. Marx M.S. MIT (1977) 198315 D. A. Paolino M.S. Illinois (1980) 1983
16 E. K. Schneider * Ph.D. Harvard (1976) 1984
17 C. Stan * Ph.D. Colorado State (2004) 200518 D. M. Straus * Ph.D. Cornell (1977) 1984
Information Systems Staff1 J. M. Adams M.S. Washington (1993) 20002 C. Steinmetz Ph.D. Purdue (1991) 19983 T. Wakefield B.S. Maryland (2004) 2000
• Also affiliated with George Mason University
Exec. Dir. COLA (1993-2004)Dir. COLA (2005-present)
Pres., IGES (1993-present) Dir. COLA (1993-2004)
Over 400 person-years experience together
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 26
IntroductionWelcomeGoals
Uniqueness
Accomplishments
Recent Advances
ServiceLeadershipOperations
Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
ONR Briefing – 24 May 2012 COLA Overview 27
COLA Publications > 550 peer-reviewed publications since 1993
1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 20110
10
20
30
40
50
60
70
80
90
100
In review
CTRs
In press
Published
IntroductionWelcomeGoals
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ONR Briefing – 24 May 2012 COLA Overview 28
Multi-Model Ensemble
CCSM4CESM1
CFSv2(CFSv1)
CM2.x GEOS_CM
Experimentation with the Nation’s Climate Models
IntroductionWelcomeGoals
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Education
Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusion
POP4
NCARCAM4
GMAOGEOS5
NCEPGFS2
MOM4
GFDLAM2
MOM4 MOM4
CLM4 NOAH CatchmentCICE4 SIS (mod)
SIS CICELM2
ESMF FMS ESMFCPL7
ONR Briefing – 24 May 2012 COLA Overview 29
Big Data at COLA• Large data sets:
• CMIP5: samples from PIControl, Historical, AMIP, Decadal, RCP4.5, and RCP8.5 for 18 models (10 TB; 33K data sets)• People from other labs (IRI, CCCma) are asking COLA for the data!!
• CFSv2: All NCEP seasonal hindcasts; decadal predictions• NMME: 7 models, 25 years of hindcasts• Athena: ECMWF and JAMSTEC ultra-high resolution models• Atmospheric and oceanic reanalyses: NCEP, NARR, MERRA, CFS-R, ERA-40, ERA-
Interim, ESRL-20C, JRA, GSWP, GODAS, SODA, ECDA, ORA-S3, ORA-S4, and COMBINE-NV
• COLA recently adopted a more cost-effective design to isolate and curate frequently used static data (shared) and promote best practices among data curators, users
IntroductionWelcomeGoals
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Recent Advances
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ONR Briefing – 24 May 2012 COLA Overview 30
• COLA’s long-term, stable, multi-agency funding enables GrADS to be both nimbly responsive to user needs and dedicated to long-term design and planning.
• GrADS is an essential tool for COLA research and data management (at COLA and at NCAR) and essential to the climate analysis research and operations community.
• GrADS has over 86,000 users worldwide
– No comparable non-commercial geoscience software
– GrADS figures are frequently found in weather and climate journals
– GrADS is used to generate images on many weather and climate web pages hosted by NOAA, NASA, Universities, and a variety of International Agencies (http://iges.org/grads/gotw.html)
• Open source development model has inspired investment in GrADS by other groups, notably the OpenGrADS and PyGrADS projects at NASA Goddard
GrADSIntroduction
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ONR Briefing – 24 May 2012 COLA Overview 31
GrADS: 86,000 Users Worldwide
Downloads from COLA February 2010 - Present
IntroductionWelcomeGoals
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ONR Briefing – 24 May 2012 COLA Overview 32
GrADS: On Your Favorite Web SitesIntroduction
WelcomeGoals
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Critical MassTeamScaleProductivity Big ModelsBig Data
Conclusionhttp://www.cpc.ncep.noaa.gov/products/precip/CWlink/daily_ao_index/hgt.shtml
Climate Prediction CenterArctic Oscillation Monitor
ONR Briefing – 24 May 2012 COLA Overview 33
Summary• 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
• COLA’s innovative contributions are widely recognized and have significantly influenced our current understanding of climate dynamics
• COLA provides leadership in climate research and education, initiates national and international research programs, and strongly influences the direction of operational climate prediction
• COLA is the home of GrADS, a software package that revolutionized the practice of climate analysis when it was introduced 20 years ago and that continues to be the tool of choice for climate data analysis and visualization
• Graduates of the Climate Dynamics PhD program are taking up climate research positions and helping shape the future of Earth system modeling
IntroductionWelcomeGoals
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