1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.

Slides:



Advertisements
Similar presentations
WCRP polar climate predictability initiative Vladimir Ryabinin
Advertisements

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Modeling the MOC Ronald J Stouffer Geophysical Fluid Dynamics Laboratory NOAA The views described here are solely those of the presenter and not of GFDL/NOAA/DOC.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
© Crown copyright Met Office Decadal Climate Prediction Doug Smith, Nick Dunstone, Rosie Eade, Leon Hermanson, Adam Scaife.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Projections of Future Atlantic Hurricane Activity Hurricane Katrina, Aug GFDL model simulation of Atlantic hurricane activity Tom Knutson NOAA /
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
NOAA Climate Program Chester J. Koblinsky Director, NOAA Climate Program Office The 29 th Climate Diagnostics and Prediction Workshop University of Wisconsin,
28 August 2006Steinhausen meeting Hamburg On the integration of weather and climate prediction Lennart Bengtsson.
Protecting our Health from Climate Change: a Training Course for Public Health Professionals Chapter 2: Weather, Climate, Climate Variability, and Climate.
Impact of Sea Surface Temperature and Soil Moisture on Seasonal Rainfall Prediction over the Sahel Wassila M. Thiaw and Kingtse C. Mo Climate Prediction.
Ocean Research Priorities Plan Near-Term Priority Abrupt Climate Change and the Atlantic Meridional Overturning Circulation (AMOC) Anticipated Outcomes.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Climate change in Italy An assessment by data and re-analysis models Raffaele Salerno, Mario Giuliacci e Laura Bertolani Mountain Witnesses of Global.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Impact of common SST anomalies on global drought and pluvial frequency Kirsten Findell and Tom Delworth Geophysical Fluid Dynamics Laboratory Princeton,
Climate System Observations and Prediction Experiment (COPE) Task Force for Seasonal Prediction.
US CLIVAR Themes. Guided by a set of questions that will be addressed/assessed as a concluding theme action by US CLIVAR Concern a broad topical area.
Barcelona, 2015 Ocean prediction activites at BSC-IC3 Virginie Guemas and the Climate Forecasting Unit 9 February 2015.
Climate Prediction Program for the Americas (CPPA) Outline : - CPPA background - major past and ongoing activities and achievements - opportunities/advances.
High Resolution Coupled Model Development and Research at GFDL Whit Anderson Ron Pacanowski Tom Delworth Tony Rosati Riccardo Farneti Gabriel Vecchi Hyun-Chul.
International CLIVAR Working Group for Seasonal-to- Interannual Prediction (WGSIP) Ben Kirtman (Co-Chair WGSIP) George Mason University Center for Ocean-Land-Atmosphere.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
CDC Cover. NOAA Lab roles in CCSP Strategic Plan for the U.S. Climate Change Science Program: Research Elements Element 3. Atmospheric Composition Aeronomy.
Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
© Crown copyright Met Office Decadal predictions of the Atlantic ocean and hurricane numbers Doug Smith, Nick Dunstone, Rosie Eade, David Fereday, James.
Status of the Sea Ice Model Testing of CICE4.0 in the coupled model context is underway Includes numerous SE improvements, improved ridging formulation,
2008 US CLIVAR Summit Phenomena Observations and Synthesis.
CPPA Past/Ongoing Activities - Ocean-Atmosphere Interactions - Address systematic ocean-atmosphere model biases - Eastern Pacific Investigation of Climate.
Volcanic Climate Impacts and ENSO Interaction Georgiy Stenchikov Department of Environmental Sciences, Rutgers University, New Brunswick, NJ Thomas Delworth.
Course Evaluation Closes June 8th.
APEC Climate Center Data Service System Chi-Yung Francis Tam APCC.
Progress of US CLIVAR during Reasons for recapping progress: - Present advances in scientific understanding of the climate system - Demonstrate.
“Very high resolution global ocean and Arctic ocean-ice models being developed for climate study” by Albert Semtner Extremely high resolution is required.
Science Advisory Board Public Session 1 1 Peter Schultz, Ph.D. Associate Director for Science Integration Climate Change Science Program Office CCSP Update.
Development of Climate Change Scenarios of Rainfall and Temperature over the Indian region Potential Impacts: Water Resources Water Resources Agriculture.
Jim Hurrell OceanObs September 2009 OceanObs09: Ocean Information for Society Day III: Delivering Services to Society Session B: Forecasting Decadal-to-Centennial.
OCO 10/27/10 GFDL Activities in Decadal Intialization and Prediction A. Rosati, S. Zhang, T. Delworth, Y. Chang, R. Gudgel Presented by G. Vecchi 1. Coupled.
El Niño Forecasting Stephen E. Zebiak International Research Institute for climate prediction The basis for predictability Early predictions New questions.
Multi-Model Ensembles for Climate Attribution Arun Kumar Climate Prediction Center NCEP/NOAA Acknowledgements: Bhaskar Jha; Marty Hoerling; Ming Ji & OGP;
David M. Legler U.S. CLIVAR Office U.S. Climate Variability and Predictability Program usclivar.org CLIVAR Welcome Climate Diagnostics.
1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009.
Regional Climate, Extremes, and Impacts presented by Andrew Wittenberg NOAA/GFDL Regional temperature trends, and the 2012 MAM warm anomaly over the eastern.
Hurricanes and Global Warming Kerry Emanuel Massachusetts Institute of Technology.
NOAA/WSWC Meeting on advancing a Seasonal Precipitation Forecast Improvement Project Name: Sarah Kapnick Organization: Geophysical Fluid Dynamics Laboratory.
26-28 July 2006US CLIVAR Summit -- Breckenridge, CO PPAI PPAI Concluding Report Proposed focus: DROUGHT ENSOExtreme Events Decadal Variability MJO Nowcasting.
Climate Mission Outcome A predictive understanding of the global climate system on time scales of weeks to decades with quantified uncertainties sufficient.
Climate Variability and Change: Introduction to Course.
Climate Prediction: Products, Research, Outreach Briefing for NOAA’s Science Advisory Board March 19, 2002 National Weather Service Climate Prediction.
AOMIP and FAMOS are supported by the National Science Foundation
GFDL Climate Model Status and Plans for Product Generation
Introduction to Climate Modeling
Workshop 1: GFDL (Princeton), June 1-2, 2006
CLIVAR International Climate of the 20th Century (C20C) Project
20th Century Sahel Rainfall Variability in IPCC Model Simulations and Future Projection Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua Li,
1 GFDL-NOAA, 2 Princeton University, 3 BSC, 4 Cerfacs, 5 UCAR
Michel Rixen, WCRP Joint Planning Staff
Understanding and forecasting seasonal-to-decadal climate variations
Beyond
CLIVAR Report to WOAP4 Detlef Stammer.
Volcanic Climate Impacts and ENSO Interaction
Presentation transcript:

1 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009

Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009 Synthesis and Future Directions Presented by Thomas Delworth Presented by Thomas Delworth

3 “NOAA is charged with helping society understand, plan for, and respond to climate variability and change. This is achieved through … focused research and modeling to understand key climate processes. The NOAA climate mission is an end-to-end endeavor focused on providing a predictive understanding of the global climate system so the public can incorporate the information and products into their decisions.” Synthesis and Future Directions

4 1. Use GFDL CM3, ESMs and new global high resolution models to pursue … - large-scale tropical change, hurricanes, ENSO - Sahel Drought – new perspectives with CM3 and beyond - sea level rise, including land-based ice sheet changes - cryospheric processes and feedbacks - AMOC and climate - North American drought, climate extremes Experiments as part of AR5 protocol will be extremely useful, especially in combination with additional attribution and sensitivity experiments. 2. Seasonal to decadal predictability, predictions and attribution 3. High-resolution coupled modeling Future Directions

5 “Cold Pacific”“Warm Atlantic” + K. Findell, T. Delworth in collaboration with US CLIVAR Working Group on Drought Oceanic Forcing of North American Drought Number of months per year in drought … leads to North American Drought DROUGHT INDEX

6 1. Use GFDL CM3, ESMs and new global high resolution models to pursue … - large-scale tropical change, hurricanes, ENSO - Sahel Drought – new perspectives with CM3 and beyond - sea level rise, including land-based ice sheet changes - cryospheric processes and feedbacks - AMOC and climate - North American drought, climate extremes Experiments as part of AR5 protocol will be extremely useful, especially in combination with additional attribution and sensitivity experiments. 2. Seasonal to decadal predictability, predictions and attribution 3. High-resolution coupled modeling Future Directions

7 1. Participation in national multi-model ensemble for seasonal prediction 2. Further development and application of Ensemble Coupled Data Assimilation system 3. Publicly available updated ocean reanalyses 4. Initial suites of decadal prediction experiments using GFDL CM2.1 model for IPCC AR5 - role of Atlantic, Pacific, Indian Oceans in decadal variability and predictability - output publicly available - research on initialization - statistical decadal prediction (see poster by Salil Mahajan) 5. Collaboration with NCAR, MIT on AMOC variability and predictability 6. If scientifically warranted and resources permit, additional suites of decadal prediction experiments in 2010 and beyond: a. GFDL CM3 b. high resolution coupled model using DOE and NOAA computer resources 2. Seasonal to decadal predictability, predictions and attribution

8 One goal is to assess how simulated climate variability and change depend on explicit inclusion of small-scale processes. Examples: - dependence of simulated decadal variability and predictability on resolution - dependence of ocean heat uptake and transient climate sensitivity on resolution Over the next several years: Develop and use models “CM2.4”, “CM2.5”, possibly “CM2.6” (atmospheric components based on GFDL high resolution atmosphere modeling efforts) OceanAtmosComputerStatus GFDL CM Km100 KmGFDLRunning GFDL CM Km50 KmDOEIn development GFDL CM Km50 KmDOEOcean component in development 3. “Push the envelope” with high resolution coupled modeling

9 How sensitive is simulated decadal variability, predictability and climate change to model resolution and physics? GFDL CM2.4 Global Coupled Model SST, surface currents GFDL CM2.1 Global Coupled Model SST, surface currents Ocean resolution as fine as 10Km in high latitudes GFDL CM2.1 model was one of the best in the world for Atlantic simulations in AR4. Even so, important processes are not well resolved. Surface currents and SST 9

10 Observational estimate (satellite) GFDL CM2.4 Model Eddy Kinetic Energy [Log scale, cm 2 s -2 ] High resolution coupled model shows realistic simulation of eddy kinetic energy High resolution coupled model shows realistic simulation of eddy kinetic energy Courtesy Riccardo Farneti (see related poster)

11 GFDL CM 2.4 Hi-Res Coupled Model

12 Geophysical Fluid Dynamics Laboratory Review June 30 - July 2, 2009

13 GFDL CM 2.4 Hi-Res Coupled Model