Degree | University | Year | Stream |
---|---|---|---|
M.Sc. | Andhra University | 2012 | Meteorology |
Monsoon Intraseasonal Oscillation
Unified stochastic parameterization
Award Name | Awarded By | Awarded For | Year |
---|---|---|---|
Sri N. Malanchathen Philip Memorial Prize and Dr. D. W. Desai Medal | Andhra University | 1st rank | 2012 |
Year | Designation | Institute |
---|---|---|
2022-Present | Scientist D | Indian Institute of Tropical Meteorology, Pune |
2017-2021 | Scientist C | Indian Institute of Tropical Meteorology, Pune |
2014-2016 | Scientist B | Indian Institute of Tropical Meteorology, Pune |
2012-2013 | Trainee Scientist | Indian Institute of Tropical Meteorology, Pune |
In the present study we analyze the Climate Forecast System version 2 (CFSv2) model in three resolutions viz. T62, T126 and T382. We evaluate the performance of all three resolutions of CFSv2 in simulating the Monsoon Intraseasonal Oscillation (MISO) of the Indian summer monsoon (ISM) by analyzing a suite of dynamical and thermodynamical parameters. Results reveal a slower northward propagation of MISO in all models with the characteristic northwest-southeast tilted rain band missing over India. The anomalous moisture convergence and vorticity are collocated with the convection centre instead of being northwards. This affects the northward propagation of MISO. The easterly shear to the north of the equator is better simulated by the coarser resolution models than CFST382. The low level specific humidity shows improvement only in CFST382 till ~15˚N. The analyses of the vertical profiles of moisture and its relation to rainfall reveal that all the CFSv2 resolutions have lesser moisture in the lower level (< 850 hPa) and a drier level above. This eventually hampers the growth of deep convection in the model. These model shortcomings indicate a possible need of improvement in moist process parameterization in the model in tune with the increase in resolution.