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Review of Recent Climate Anomalies C F Ropelewski IRI for Climate Prediction 17 Jun 03 Monthly-to-Seasonal Climate Forecast Forum Research and Development Center Central Weather Bureau (Video-Conference Presentation). Climate Highlights Spring 2003
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Review of Recent Climate Anomalies C F Ropelewski IRI for Climate Prediction 17 Jun 03 Monthly-to-Seasonal Climate Forecast Forum Research and Development Center Central Weather Bureau (Video-Conference Presentation)
Climate Highlights Spring 2003 • Widespread dry conditions with some notable exceptions • Positive temperature anomalies continue to dominate • Move towards La Nina (Cold) Conditions (More from Tony Barnston)
May 03 Global Rainfall Anomaly March to May 03 Regional-Rainfall Anomaly
12 Month (June 2002 to May 2003) Weighted Anomaly Standardized Precipitation (WASP) Index
May 2003 Wind Anom 925mb
May 2003 Global Surface Temperature Regional SST
Eastern Asia Climate Forecast for Jul-Aug-Sep 2003 Tony Barnston IRI
IRI DYNAMICAL CLIMATE FORECAST SYSTEM HISTORICAL DATA Extended simulations Observations GLOBAL ATMOSPHERIC MODELS ECPC(Scripps) ECHAM4.5(MPI) CCM3.2(NCAR) NCEP(MRF9) NSIPP(NASA) COLA2.x PERSISTED GLOBAL SST Persisted SST Ensembles 3 Mo. lead 10 POST PROCESSING -Statistics -Multimodel Ensembling -graphics 24 10 FORECAST SST TROP. PACIFIC (NCEP dynamical) TROP. ATL, INDIAN (statistical) EXTRATROPICAL (damped persistence) 10 Forecast SST Ensembles 3/6 Mo. lead 24 10 10 10 10 REGIONAL MODELS AGCM INITIAL CONDITIONS UPDATED ENSEMBLES (10+) WITH OBSERVED SST
Weekly “Nino” SST over the Last 7 Weeks Nino1+2 Nino3 Nino3.4 Nino4 30 Apr -1.6 -.7 .0 .4 7 May -1.6 -.9 -.4 .3 14 May -1.8 -.9 -.4 .2 21 May -1.8 -1.0 -.5 .2 28 May -1.7 -.8 -.3 .4 4 Jun -1.6 -.9 -.2 .3 11 Jun -1.6 -.8 -.1 .4
Persisted SST Scenario
June Forecasts for SST in Nino3.4 Region JJA JAS ASO SON OND NDJ DJF JFM FMA 2003-------------------------2004--- -108-119-127-125-112 -92 -70 -49 -27 D NASA/NSIPP -23 -13 -8 0 10 21-999-999-999 DxNCEP/EMC 12 28 34 40 47 50-999-999-999 D JAP MET AGCY -40 -49 -59 -68 -72 -75 -76 -61 -42 D SCRIPPS ECPC -26 -37 -47 -58 -66 -73 -80 -79-999 D LDEO 15 22 24 33 33 34 41 39-999 DxAUSTR CSIRO -74 -87 -89 -77 -67 -54 -36 -19-999 D AUSTR POAMA -24 -27 -26-999-999-999-999-999-999 D ECMWF -40 -47 -50 -47 -43 -43 -43 -43-999 DxKOREA MET AG SNU -4 -21 -39 -57 -72 -85 -95 -98 -98 D ZHANG ICM -35 -30 -20 -78 23 34 40 43 S CPC MARKOV -25 -26 -27 -28 -30 -31 -32 -31 -30 S CDC LIN INVERSE -47 -66 -92-113-123-122-103 -80 -46 S DOOL CONST ANALOG 64 61 62 63 73 75 70 58 43 S CPC CCA -15 -25 -35 -43 -37 -31 -26 -23 -20 S CSU CLIPER -30 -20 -11 -210 23 35 53 70 S UBC NONLIN CCA -23 -18 -14 -11 -10 -10 -10 -11 -11 S FSU REGRESSION
Tropical Pacific: Average of-- NCEP coupled LDEO4 Constructed analog
Tropical Pacific: Average of-- NCEP coupled LDEO4 Constructed analog
If there is a La Nina
If there is a La Nina
Dry Mask
Persisted SST from May
Persisted SST from May
Summary Precipitation: Climatological probabilities, or very slight tilt toward wet Temperature: 50% to 55% probability of above normal.
Western North Pacific model tropical cyclone activity Suzana J. Camargo June 16, 2003.
Introduction • Forecasting of seasonal tropical cyclone activity is important. • DYNAMICAL forecasting of seasonal hurricane activity is a promising approach. • Detection of tropical cyclone-like structures in models.
TropicalCyclones in AGCMs • AGCMs can create model tropical cyclones (MTCs) with strong similarities to observed tropical cyclones. • MTCs in LOW resolution AGCMs have deficiencies: impact on their INTENSITY .