The USCLIVAR Working Group on Drought: A Multi-Model Assessment of the Impact of SST Anomalies on Regional Drought.

Slides:



Advertisements
Similar presentations
VEGETATION FEEDBACK AND DROUGHTS Russell Bird – 3 rd Year Atmospheric Science.
Advertisements

Consolidated Seasonal Rainfall Guidance for Africa, November 2013 Initial Conditions Issued 7 November 2013 Forecast maps Forecast Background – ENSO update.
The Perfect Ocean for Drought, Martin Hoerling & Arun Kumar On the Cause of the 1930s Dust Bowl, Siegfried D. Schubert, Max J. Suarez, Philip J. Pegion,
Seasonal Climate Predictability over NAME Region Jae-Kyung E. Schemm CPC/NCEP/NWS/NOAA NAME Science Working Group Meeting 5 Puerto Vallarta, Mexico Nov.
Proposed Model Simulations The idea is for several modeling groups to do identical (somewhat idealized) experiments to address issues of model dependence.
Assessment of CFSv2 hindcast (seasonal mean) CPC/NCEP/NOAA Jan 2011.
Drought Modeling Experiments Alfredo Ruiz-Barradas & Sumant Nigam University of Maryland 12 th Annual CCSM Workshop Breckenridge, CO June 19-21, 2007.
Interannual Variability of Warm-Season Rainfall over the US Great Plains in NCAR/CAM and NASA/NSIPP Simulations: Intercomparisons for NAME. Alfredo Ruiz–Barradas.
Interannual Variability in Summer Hydroclimate over North America in CAM2.0 and NSIPP AMIP Simulations By Alfredo Ruiz–Barradas 1, and Sumant Nigam University.
Amplification of the 'Dust Bowl' drought through human induced land degradation Benjamin I. Cook 1,2 Richard M. Seager 1, Ronald L. Miller 2 1 Lamont-Doherty.
The Role of Internally Generated Megadroughts and External Solar Forcing in Long Term Pacific Climate Fluctuations Gerald A. Meehl NCAR.
Interannual Variability of Warm-Season Rainfall over the US Great Plains in NASA/NSIPP and NCAR/CAM2.0 AMIP Simulations By Alfredo Ruiz-Barradas and Sumant.
CLIVAR Drought Modeling Experiments with CAM3.5: Interim Report Alfredo Ruiz-Barradas ^, Sumant Nigam ^, Adam Phillips *, Clara Deser * ^ University of.
Interannual Variability of North American Summer Precipitation in NASA/NSIPP and NCAR/CAM2.0 AMIP Simulations By Alfredo Ruiz-Barradas and Sumant Nigam.
Vikram MehtaNASA SST Science Team Meeting, Seattle8 November 2010 Interannual to Decadal Variability of the West Pacific Warm Pool in Remote Sensing Based.
Diagnosis of Summer Hydroclimate Variability over North America in 20 th Century Climate Simulations By Alfredo Ruiz-Barradas 1,and Sumant Nigam University.
Diagnosis of North American Hydroclimate Variability in IPCC’s Climate Simulations Alfredo Ruiz–Barradas 1 and Sumant Nigam University of Maryland ----o----
Interannual Variability of Great Plains Summer Rainfall in Reanalyses and NCAR and NASA AMIP-like Simulations Alfredo Ruiz-Barradas Sumant Nigam Department.
Pacific vs. Indian Ocean warming: How does it matter for global and regional climate change? Joseph J. Barsugli Sang-Ik Shin Prashant D. Sardeshmukh NOAA-CIRES.
1 Assessment of the CFSv2 real-time seasonal forecasts for 2013 Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
1 Assessment of the CFSv2 real-time seasonal forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Impact of common SST anomalies on global drought and pluvial frequency Kirsten Findell and Tom Delworth Geophysical Fluid Dynamics Laboratory Princeton,
Potential Predictability of Drought and Pluvial Conditions over the Central United States on Interannual to Decadal Time Scales Siegfried Schubert, Max.
Sub-Saharan rainfall variability as simulated by the ARPEGE AGCM, associated teleconnection mechanisms and future changes. Global Change and Climate modelling.
Intensification of Summer Rainfall Variability in the Southeastern United States in Recent Decades Hui Wang 1,2, Wenhong Li 1, and Rong Fu 1,3 1 Georgia.
International CLIVAR Working Group for Seasonal-to- Interannual Prediction (WGSIP) Ben Kirtman (Co-Chair WGSIP) George Mason University Center for Ocean-Land-Atmosphere.
INDIA and INDO-CHINA India and Indo-China are other areas where the theoretical predictability using the interactive soil moisture is superior to the fixed.
The US CLIVAR Drought Working Group (formed in December 2006) U.S. Membership Tom Delworth NOAA GFDL Rong Fu Georgia Institute of Technology Dave Gutzler.
An Analysis of the Nature of Short Term Droughts and Floods During Boreal Summer Siegfried Schubert, Hailan Wang* and Max Suarez NASA/GSFC Global Modeling.
Atlantic Multidecadal Variability and Its Climate Impacts in CMIP3 Models and Observations Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua.
The US CLIVAR Working Group on Drought Siegfried Schubert (NASA/GMAO) and Dave Gutzler (Univ New Mexico) Cochairs USCLIVAR Annual Summit Annapolis, MD.
On the Causes of the 1930s Dust Bowl Siegfried Schubert, Max Suarez, Philip Pegion, Randal Koster and Julio Bacmeister Global Modeling and Assimilation.
Seasonal Moisture Flux Variability over North America in NASA/NSIPP’s AMIP Simulation and Atmospheric Reanalysis By Alfredo Ruiz-Barradas and Sumant Nigam.
NAME Climate Process and Modeling Team/ Issues for Warm Season Prediction J. Schemm and D. Gutzler CPC/NCEP/NWS/NOAA University of New Mexico The 30th.
Motivation Quantify the impact of interannual SST variability on the mean and the spread of Probability Density Function (PDF) of seasonal atmospheric.
Atmospheric Hydrological Cycle in the Tropics in Twentieth Century Coupled Climate Simulations Hailan Wang and William Lau Laboratory for Atmospheres,
23-27 Oct. 2006NOAA 31st Annual Climate Diagnostics and Prediction Workshop Predictability & Prediction of Seasonal Climate over North America Lisa Goddard,
The European Heat Wave of 2003: A Modeling Study Using the NSIPP-1 AGCM. Global Modeling and Assimilation Office, NASA/GSFC Philip Pegion (1), Siegfried.
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
Rossby wave breaking (RWB) Definition Detection / Measurement Climatology Dynamics – Impact on internal variability (NAO / NAM) – Impact on surface turbulent.
Multi-Model Ensembles for Climate Attribution Arun Kumar Climate Prediction Center NCEP/NOAA Acknowledgements: Bhaskar Jha; Marty Hoerling; Ming Ji & OGP;
Alex Jovich- Atmospheric Sciences The Perfect Ocean for Drought On the Cause of the 1930s Dust Bowl Martin Hoerling Science Vol Jan Siegfried.
Climate Variability and Basin Scale Forcing over the North Atlantic Jim Hurrell Climate and Global Dynamics Division National Center for Atmospheric Research.
David M. Legler U.S. CLIVAR Office U.S. Climate Variability and Predictability Program usclivar.org CLIVAR Welcome Climate Diagnostics.
Effects of trends in anthropogenic aerosols on drought risk in the Central United States Dan H. Cusworth Eric M. Leibensperger, Loretta J. Mickley Corn.
Extratropical Sensitivity to Tropical SST Prashant Sardeshmukh, Joe Barsugli, and Sang-Ik Shin Climate Diagnostics Center.
Using the National Multi-Model Ensemble (NMME) System Johnna Infanti Advisor: Ben Kirtman.
A Proposed US CLIVAR DROUGHT WORKING GROUP US CLIVAR Summit Breckinridge, CO July 2006.
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Interannual Variability of Warm-Season Rainfall over the US Great Plains in NCAR/CAM and NASA/NSIPP Simulations: Intercomparisons for NAME Alfredo Ruiz–Barradas.
Relationship of U.S. Summer Droughts with SST and Soil Moisture: Distinguishing the Time Scale of Droughts Renguang Wu Center for Ocean-Land-Atmosphere.
Examining Fresh Water Flux over Global Oceans in the NCEP GDAS, CDAS, CDAS2, GFS, and CFS P. Xie 1), M. Chen 1), J.E. Janowiak 1), W. Wang 1), C. Huang.
The USCLVAR Drought Working Group: A Multi-Model Assessment of the Impact of SST Anomalies on Drought By The USCLIVAR Drought Working Group Presented by.
1 An Assessment of the CFS real-time forecasts for Wanqiu Wang, Mingyue Chen, and Arun Kumar CPC/NCEP/NOAA.
Predictability of Monthly Mean Temperature and Precipitation: Role of Initial Conditions Mingyue Chen, Wanqiu Wang, and Arun Kumar Climate Prediction Center/NCEP/NOAA.
1 A review of CFS forecast skill for Wanqiu Wang, Arun Kumar and Yan Xue CPC/NCEP/NOAA.
The Great 20 th Century Drying of Africa Ninth Annual CCSM Workshop Climate Variability Working Group 9 July 2004, Santa Fe Jim Hurrell, Marty Hoerling,
Cécile Hannay, Julio Bacmeister, Rich Neale, John Truesdale, Kevin Reed, and Andrew Gettelman. National Center for Atmospheric Research, Boulder EGU Meeting,
Principal Investigator: Siegfried Schubert
The Impact of SST and Vegetation Changes on Long-Term Drought
Climate and Global Dynamics Laboratory, NCAR
Alfredo Ruiz-Barradas, and Sumant Nigam
Alfredo Ruiz-Barradas Sumant Nigam
Workshop 1: GFDL (Princeton), June 1-2, 2006
University of Washington Center for Science in the Earth System
Precipitation variability over Arizona and
CLIVAR Drought Modeling Experiments with CAM3.5: Interim Report
20th Century Sahel Rainfall Variability in IPCC Model Simulations and Future Projection Mingfang Ting With Yochanan Kushnir, Richard Seager, Cuihua Li,
Combined Effect without Soil Moisture Feedback
Extratropical Climate and Variability in CCSM3
Presentation transcript:

The USCLIVAR Working Group on Drought: A Multi-Model Assessment of the Impact of SST Anomalies on Regional Drought

The US CLIVAR Drought Working Group U.S. Membership Tom Delworth NOAA GFDL Rong Fu Georgia Institute of Technology Dave Gutzler (co-chair) University of New Mexico Wayne HigginsNOAA/CPC Marty HoerlingNOAA/CDC Randy KosterNASA/GSFC Arun KumarNOAA/CPC Dennis LettenmaierUniversity of Washington Kingtse MoNOAA CPC Sumant NigamUniversity of Maryland Roger Pulwarty NOAA- NIDIS Director David Rind NASA - GISS Siegfried Schubert (co-chair) NASA GSFC Richard Seager Columbia University/LDEO Mingfang Ting Columbia University/LDEO Ning Zeng University of Maryland International Membership: Ex Officio Bradfield Lyon International Research Institute for Climate Victor O. Magana Mexico Tim Palmer ECMWF Ronald Stewart Canada Jozef Syktus Australia

Other interested participants Lisa Goddard Alex Hall Jerry Meehl Jin Huang John Marshall Adam Sobel Max Suarez Phil Pegion Tim Palmer Entin, Jared K. Donald Anderson Rong Fu Doug Lecomte Hailan Wang Junye Chen Eric Wood Aiguo Dai Alfredo Ruiz-Barradas Jae Kyung E Schemm Clara Deser Kirsten Findell Mark Helfand Scott J. Weaver Kit K. Szeto Chunzai Wang Adam Phillips Matias Mendez Hugo Berbery

Terms of Reference propose a working definition of drought and related model predictands of drought coordinate evaluations of existing relevant model simulations suggest new model experiments designed to address some of the outstanding uncertainties concerning the roles of the ocean and land in long term drought coordinate and encourage the analysis of observational data sets to reveal antecedent linkages of multi-year drought organize a community workshop in 2008 to present and discuss results

Model Experiments Force global models with idealized SST anomalies –Address physical mechanisms, model dependence Participating groups/models: NASA (NSIPP1), Lamont(CCM3), NCEP(GFS), GFDL (AM2.1), NCAR (CAM3.5), and COLA/Univ. of Miami/ (CCSM3.0) Web site with access to monthly data ftp://gmaoftp.gsfc.nasa.gov/pub/data/clivar_drought_wg/README/www/index.html

Focus Here on Two Leading Patterns of Annual SST Variability Pacific Pattern Atlantic Pattern CC

Main Experiments Warm Atlantic Neutral Atlantic Cold Atlantic Warm Pacific PwAwPwAnPwAc Neutral Pacific PnAwPnAn Control PnAc Cold Pacific PcAwPcAnPcAc - REOF patterns superimposed on mean seasonal cycle with +/- 2 std amplitude - e.g., PwAc is the combined pattern of warm Pacific and cold Atlantic - all runs 50 years (35 for GFS)

Global Spatial Correlations of Annual Mean Responses Precipitation z 200mb     Agreement among models for response to Pacific is high Agreement among models for response to Atlantic is lower Agreement is higher for z200 than it is for precipitation

Warm Pacific Annual Mean Precip (mm/day) and z200 (5 meter CI) Response

Warm Atlantic Annual Mean Precip (mm/day) and z200 (5 meter CI) Response

Annual Precipitation (mm/day) Pacific Cold+Atlantic WarmPacific Warm+Atlantic Cold US Drought! US Pluvials!

Some Basic Results: Over US Mean Responses –Models tend to agree that Cold Pacific+Warm Atlantic => drought/warm Warm Pacific+Cold Atlantic => pluvial conditions/cold –There are substantial differences in details of anomaly patterns –There is a large seasonality in responses Potential Predictability (Pacific signal to noise) –Largest in spring –Models appear to agree more on precipitation than surface temperature responses!

Special issue highlighting results is now being put together for J. Climate

End

The model results are from AMIP- style runs from each model (runs forced by observed SSTs for the period ). Contour interval for the height field is 20m (negative values are dashed and the zero line is the first solid contour). Precipitation is in mm/day. Annual Mean Precipitation and 200mb Eddy Height Climatologies

Annual Mean Tsfc Response (°C) Pacific WarmPacific Cold

Annual Mean Tsfc Response (°C) Atlantic WarmAtlantic Cold

Great Plains (Annual Mean Response) Tsfc Precip warm Pacific cold Pacific

Cold Pacific Annual Mean Precip (mm/day) and z200 (5 meter CI) Response

Cold Atlantic Annual Mean Precip (mm/day) and z200 (5 meter CI) Response

Annual Precipitation (mm/day) Pacific ColdAtlantic Warm Tendency for US Drought!

Annual Precipitation (mm/day) Pacific WarmAtlantic Cold Tendency for US Pluvials!

Annual Precipitation (mm/day) Pacific Cold+Atlantic WarmPacific Warm+Atlantic Cold US Drought! US Pluvials!

Seasonal Evolution of Response

DJF - Cold Weak and shifted anti-cyclonic anomalies Contours: 200mb height anomalies Vectors: 850mb wind anomalies Colors: precipitation anomalies

MAM - Cold General consistency in height anomalies but CFS again shifted south

JJA - Cold Cyclonic anomalies in IAS

SON - Cold Cyclonic anomalies in IAS

DJFMAM JJASON Great Plains (Seasonality of Response) warm Pacific cold Pacific Tsfc Precip

Predictability Measures Signal to Noise Ratio

R= ( x-y )/s xy ( ): 50 yr mean x : seasonal mean from experiment y : seasonal mean from control (climatological SST) s 2 xy = ( s 2 X + s 2 Y )/2 s 2 X variance of seasonal mean from experiment s 2 Y : variance of seasonal mean from control Signal to Noise Ratio ( R)

GP SE SW NW  Focus U.S. Response to Pacific Forcing

Precipitation Response to Warm and Cold Pacific (signal/noise) R R

Tsfc Response to Warm/Cold Pacific (signal/noise) R R