Ashish Ramesh Dhakate

Mr. Ashish Ramesh Dhakate


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 June 2011 in Climatic Change
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Journal Article
Closed access
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SRSuryachandra A. Rao
Suryachandra A. Rao
ADAshish Ramesh Dhakate
Ashish Ramesh Dhakate
SSSubodh K. Saha
Subodh K. Saha
SMSomnath Mahapatra
Somnath Mahapatra
HCHemantkumar S. Chaudhari
Hemantkumar S. Chaudhari
SSSobhan K. Sahu
Sobhan K. Sahu

26 July 2019 in Atmosphere
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Journal Article
Open access
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STSnehlata Tirkey
Snehlata Tirkey
PMPARTHASARATHI MUKHOPADHYAY
PARTHASARATHI MUKHOPADHYAY
PRPhani Murali Krishna Ravuri
Phani Murali Krishna Ravuri
ADAshish Ramesh Dhakate
Ashish Ramesh Dhakate
KSKIRAN SALUNKE
KIRAN SALUNKE
In the present study, we analyze the Climate Forecast System version 2 (CFSv2) model in three resolutions, T62, T126, and T382. We evaluated 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 dynamic and thermodynamic 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 were collocated with the convection center instead of being northwards. This affected the northward propagation of MISO. The easterly shear to the north of the equator was better simulated by the coarser resolution models than CFS T382. The low level specific humidity showed improvement only in CFS T382 until ~15° N. The analyses of the vertical profiles of moisture and its relation to rainfall revealed that all CFSv2 resolutions had a lower level of moisture in the lower level (< 850 hPa) and a drier level above. This eventually hampered 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.