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CBS EXPERT TEAM ON EXTENDED AND LONG-RANGE FORECASTING 26~30 March 2012, Geneva, Switzerland STATUS / PROGRESS REPORT FOR GPC-SEOUL Suhee Park Korea Meteorological.

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Presentation on theme: "CBS EXPERT TEAM ON EXTENDED AND LONG-RANGE FORECASTING 26~30 March 2012, Geneva, Switzerland STATUS / PROGRESS REPORT FOR GPC-SEOUL Suhee Park Korea Meteorological."— Presentation transcript:

1 CBS EXPERT TEAM ON EXTENDED AND LONG-RANGE FORECASTING 26~30 March 2012, Geneva, Switzerland STATUS / PROGRESS REPORT FOR GPC-SEOUL Suhee Park Korea Meteorological Administration

2 Contents  History of GPC-Seoul  KMA Forecast system  Basic forecast outputs  Products  Verification  Future developments

3 History of GPC-Seoul  Discussed the function of GPCs and requirement to be joined (CBS OPAG, Geneva, Feb. 2003)  Discussed GPCs/RCCs/NMHSs’ Needs (CBS OPAG, Jeju, Oct. 2005)  Submitted the results of verification for pre-designated for GPC (2006)  GPC Seoul (KMA) was officially designated (CBS-Ext.06, Seoul, Nov. 2006)  Opened the GPC-Seoul officially (1 Jul. 2007)

4 KMA Forecast system: Tier-2 GDAPS (Global Data Assimilation and Prediction System) Major Physics Cloud ConvectionKuo (1974) Land Surface & PBL SiB; Meller–Yamada(1982) Radiation Lacis & Hansen (1974) for SW Roger & Walshaw (1966), Glodman & Kyle (1968) and Houghton (1977) for LW Large scale condensationKanamitsu et al.(1983) Dynamics Three-dimensional global spectral model with hydrostatic primitive equations Hybrid sigma-pressure coordinate Semi-implicit method ResolutionT106L21 Ensemble size20 members Sea Surface TemperaturePredicted SST anomaly Land Surface Initial ConditionObserved Climatology Model ClimatologySMIP2/HFP simulation (1979 to 2010) Forecast range1-month forecast, 3-month forecast, and 6-month forecast  To predict the global SST, a statistical global SST prediction system is being developed by combining Coupled Pattern Projection Model (CPPM), Lagged Linear Regression Method (LLRM), El Nino prediction model, and persistence method.

5 Basic forecast outputs Issue frequency:3 rd, 13 th, and 23 rd day of each month Temporal resolution:10 days and 1 month averages, accumulations over 1 month forecast and over 3 month forecast. Spatial resolution:2.5°×2.5° Spatial coverage:Global Lead time:About 3 weeks Output types:Graphical images and GRIB2 digital data. Figures and data for 3 month forecast of GPC-Seoul are available in WMO LC-LRFMME homepage(www.wmolc.org). Verification as per WMO SVSLRF (a)location of verification information : LC-LRFSVS (b)the verification is completed on 31 years hindcasts (c)the ensemble size of forecast and hindcast is same 20 members.

6 Products Variable: 850hPa temperature anomaly Precipitation anomaly SST anomaly Spatial resolution:2.5°×2.5° Temporal Resolution:1 month Coverage: Global and East Asia Global and East Asia Global and East Asia Issue frequency:monthly Lead-time L0NNN L1YYY L2NNN L3NNN L4NNN L4+NNN Location of rendered images: http://web.kma.go.kr/eng/weather/forecast/long-range1.jsp for 1 month forecast, http://web.kma.go.kr/eng/weather/forecast/long-range3.jsp for 3 month forecast

7 Verification: MSSS Variable:2m temperaturePrecipitationSSTNiño region indices Seasons:All 12 Leads:3 week leads 2 month leads MSSSYYYY Variable:2m temperaturePrecipitationSST Seasons:4 seasons Leads:3 week leads MSSS maps:YYY MSSS 1 maps:YYY MSSS 2 maps:YYY MSSS 3 maps:YYY Location:SVS-LRF website  SVSLRF Level 2 scores  SVSLRF Level 1 scores

8 Future developments  Collaboration with UK Met Office(GPC-Exeter)  From 2014, the operational forecast model of GPC-Seoul will be replaced by the Joint Seasonal Forecasting System, based on the GloSea system.

9 Thank you very much!


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