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Published in Atmospheric Pollution Research, 2022
Analysing the performance of high resolution air-quality and meteorological parameters obtained from the forecasting system developed at IITM, Pune against observation data from the WIFEX campaign and to calculate statistical performance and skill score of model AQI output against CPCB observation data over Delhi-NCR during winter 2020-2021.
Recommended citation: Sengupta, A., Govardhan, G., Debnath, S., Yadav, P., Kulkarni, S.H., Parde, A.N., Lonkar, P., Dhangar, N., Gunwani, P., Wagh, S. and Nivdange, S., 2022. Probing into the wintertime meteorology and particulate matter (PM2. 5 and PM10) forecast over Delhi. Atmospheric Pollution Research, 13(6), p.101426. https://doi.org/10.1016/j.apr.2022.101426
Published in Climate Dynamics, 2022
The major objectives of this study were three-fold. First, to analyse the seasonal cahnges in the apparent scaling rates over the Indian subcontinent and to determine the differences in the departure from the expected climate scaling rate using ERA5 reanalysis temperature and precipiatation data. Second, to use ERA5 data on pressure levels to determine the seasonal variations of the dynamic and thermodynamic contribution to precipitation extremes and find the factos that cause these deviations in scaling rates. Third, to further probe into these variations using composite analysis of the various climate variables as dynamic and thermodynamic indices to find the major driving factors behind extremes across seasons.
Recommended citation: Sengupta, A., Vissa, N.K. & Roy, I. Seasonal variations in the dynamic and thermodynamic response of precipitation extremes in the Indian subcontinent. Clim Dyn (2022). https://doi.org/10.1007/s00382-022-06613-6
Published in Atmospheric Research, 2023
In the present study, the performance of three high resolution data sets - GPM-IMERG satellite derived, ERA5 and IMDAA reanalysis precipitation - in determining the seasonal variations in precipitation-temperature scaling rates are investigated. When compared with the IMD data, IMERG and IMDAA capture the spatial variations and magnitude of scaling rates of daily precipitation extremes much better than ERA5
Recommended citation: Sengupta, A., Vissa, N. K., & Roy, I. (2023). Assessing the performance of satellite derived and reanalyses data in capturing seasonal changes in extreme precipitation scaling rates over the Indian subcontinent. Atmospheric Research, 288, 106741. https://doi.org/10.1016/j.atmosres.2023.106741
Published:
Analysing the ability of CMIP6 models to simulate the asymmetric/nonlinear nature of ENSO-rainfall teleconnecitons in different regions of the world and seasons
Published:
How will ENSO and its teleconnections change once we achieve net-zero emissions. We use 1000-year long stabilisation runs from the ACCESS-ESM1.5 to analyse these changes and try to identify somef of the caveats of such an analysis at different global-warming levels.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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