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INITIAL CONDITION: 31 May 2014 Extended range prediction during 2014 season Extended range prediction during 2014 season Using CFS based Grand Ensemble.

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Presentation on theme: "INITIAL CONDITION: 31 May 2014 Extended range prediction during 2014 season Extended range prediction during 2014 season Using CFS based Grand Ensemble."— Presentation transcript:

1 INITIAL CONDITION: 31 May 2014 Extended range prediction during 2014 season Extended range prediction during 2014 season Using CFS based Grand Ensemble Prediction System (CGEPS)

2  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

3 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.

4 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

5 Real-time forecast based on 31 May 2014 initial condition

6 Daily evolution of rainfall and wind at 850hPa

7 Daily evolution of vorticity at 850hPa and mean sea level pressure

8 Daily evolution of divergence and winds at 200hPa

9 Pentad wise rainfall predicted by MME

10 MISO monitoring and forecast for next 25 days

11  The rainfall would be confined to west coast and NE India up to 15 June.  The surface pressure gradient pattern and low level circulation indicates that (a) monsoon trough will be developing around 12 June over Indo-Gangetic plains (b) presence of ridge east of western Ghats (anticyclonic circulation over central India) will hamper the establishment of monsoon over Indian land.  Thus, the strengthening and progression of the monsoon seems to be slackened till 18 June and monsoon would reach central India by 20 June as a feeble current.  Large scale MISO forecast also suggests that it will be over peninsular India up to 25 June and may advance to Central India afterwards.  Overall, monsoon activity in June will be mainly confined to west coast, NE India and southern peninsula. Key points from the present forecast

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