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DisclaimerDisclaimer The material contained in this PPT is a raw model output and research product. This is meant for scientific use. For any clarification/interpretation, please contact India Meteorological Department.
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INITIAL CONDITION: 10 June 2014 Extended range prediction during 2014 season Extended range prediction during 2014 season Using CFS based Grand Ensemble Prediction System (CGEPS)
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Ocean and Atmospheric Initial conditions (IC) are obtained from NCEP. Technique was developed to perturb ICs to generate 11 members. (Abhilash et al., 2013) Model has been integrated at low resolution (T126, ~100km, termed as CFS126 hereafter; Abhilash et al. 2014) and high resolution (T382, ~38km, termed as CFS382 hereafter; Sahai et al. 2014) for 45 days for each 11 ICs at five day intervals starting from 16th May (Eg: 16 May, 21 May, 26 May, 31 May, 05 Jun........etc). Climatology has been calculated from 10-year hindcast. Bias correction in daily forecasted SST from CFS126 for each lead time has been done by removing the daily mean bias for corresponding lead time (model climatology-observed climatology) from forecasted daily SST (Sahai et al., 2013; Abhilash et al., 2013). This model is hereafter termed as GFSbc. Strategy: Ensemble Prediction using CFSv2
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Generation of CGEPS In the formulation of MME from CGEPS, 21 ensembles of GFSbc, 11 ensembles of CFS126 and 11 ensembles of CFS382 have been used (Abhilash et al. 2014, submitted ). Hence, total 43 ensemble members were produced independently from 3 variants of CFS model to generate the CGEPS and forecast consensus is done by making simple average among the members.
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Real-time forecast based on 10 June 2014 initial condition
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Daily evolution of rainfall and wind at 850hPa
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Daily evolution of vorticity at 850hPa and mean sea level pressure
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Daily evolution of divergence and winds at 200hPa
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Pentad wise rainfall predicted by MME
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Area averaged rainfall over homogeneous regions predicted by MME
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Verification of area averaged rainfall over homogeneous regions predicted by MME CEI
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Verification of area averaged rainfall over homogeneous regions predicted by MME MZI
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Verification of area averaged rainfall over homogeneous regions predicted by MME NEI
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Verification of area averaged rainfall over homogeneous regions predicted by MME NWI
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Verification of area averaged rainfall over homogeneous regions predicted by MME SPI
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Extended EOF analysis is carried out similar to Wheeler and Hendon 2004 using standardized rainfall anomalies up to lag -15 days, averaged between 60-95E for the latitudes -12 to 30. The rainfall anomalies for the lag days are appended side by side to create the extended data matrix. The EOF analysis is carried out using IMD-TRMM merged data from 1998-2011. The real time data for 2013 is projected onto the EOFs created from the 14 years of past data. The amplitude of EOF1 and EOF2 (PC1 and PC2 ) are plotted in a PC1/PC2 phase space similar to Wheeler Hendon 2004 to get an idea of the evolution of ISO and its strength. Computation of MISO (Ref: Suhas et al. 2012, Sahai et al. 2013) Phase1: Peninsular India; Phase2: Central India; Phase3: Central India; Phase4: North India Phase5: Foothills Phase6: South Indian Ocean; Phase7: Indian Ocean; Phase8: Southern tip
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MISO monitoring and forecast for next 25 days Note: There were some technical issues. Therefore, the MISO figures are re-plotted for previous forecasts also.
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MISO monitoring and forecast for next 25 days Note: There were some technical issues. Therefore, the MISO figures are re-plotted for previous forecasts also.
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MISO monitoring and forecast for next 25 days Note: There were some technical issues. Therefore, the MISO figures are re-plotted for previous forecasts also.
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The low pressure system which is strong over Arabian Sea will give good rainfall over the west coast. However, the presence of ridge east of western Ghats (anticyclonic circulation over central India) will hamper the establishment of monsoon over Indian land. Overall, monsoon activity in June will be below normal over the country. Large scale MISO forecast suggests that it will be weaker during entire June. Key points from the present forecast
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