Computational Atmospheric Sciences: Publication


  1. Kulkarni Santosh, Ghude Sachin, Jena C., Karumuri R.K, Sinha B., Sinha V., Kumar Rajesh, Soni V. K., Khare Manoj : How Much Does Large-Scale Crop Residue Burning Affect the Air Quality in Delhi?. Environmental Science & Technology, 54 (8), 4790-4799, DOI: 10.1021/acs.est.0c00329, 2020
  2. Sachin D Ghude, R. Kumar, C. Jena, S. Debnath, R. Kulkarni, Stefano Alessandrini, Mrinal Biswas, Santosh Kulkrani , P. Pithani, D.M. Chate, V.K. Soni, S. Singh, Ravi S. Nanjundiah, M. Rajeevan: Evaluation of PM 2.5 forecast using chemical data assimilation in WRF-Chem model: a new initiative under the Minsitry of Earth Sciences (MoES) Air Quality Early Warning System (AQEWS) for Delhi. Current Science, VOL. 118, NO. 11, 1803-1815, 2020
  3. Pratiman Patel, Subimal Ghosh, Akshara Kaginalkar, Sahidul Islam and Subhankar Karmakar, 2019: Performance evaluation of WRF for extreme flood forecasts in a coastal urban environment. Atmospheric Research. 223.
  4. K RamaKrishna, Sachin D Ghude, Jena C, Rachana Kulkarni, Gabriela G Pfister, Prakash Pithani, Sreyashi Debnath, Rajesh Kumar, Upendra Badimella, Santosh H Kulkarni, D M LAL, Ronald Vander, Anoop S Mahajan: What is driving the diurnal variation in tropospheric NO2 columns over a cluster of high emission thermal power plants in India? Atmospheric Environment:X, 2019 (Accepted)
  5. Sumita Kedia, S K Das, S Islam, A.Hazra, N. Kumar, Aerosols impact on the convective and non-convective rain distribution over the Indian region: Results from WRF-Chem simulation, Atmospheric Environment, 202, 64-74, 2019.
  6. Yogesh Sathe, Santosh Kulkarni, Pawan Gupta, Akshara Kaginalkar, Sahidul Islam, Prashant Gargava: Application of Moderate Resolution Imaging Spectroradiometer (MODIS) Aerosol Optical Depth (AOD) and Weather Research Forecasting (WRF) model meteorological data for assessment of fine particulate matter (PM2.5) over India. Atmospheric Pollution Research, 2019, 10, 418-434.
  7. S. Ramachandran, T A Rajesh, Sumita Kedia, Influence of relative humidity, mixed-layer height, and mesoscale vertical velocity variations on column and surface aerosol characteristics over urban region, Boundary Layer Meteorology, 170, 1, 161–181, 2019
  8. Sumita Kedia, R Vellore, S Islam, A Kaginalkar, A study of Himalayan extreme rainfall events using WRF Chem, Meteorology and Atmospheric Physics, 1-11, 2018.
  9. Sumita Kedia, R Kumar, S Islam, Y Sathe, A Kaginalkar, Radiative impact of a heavy dust storm over India and surrounding oceanic regions, Atmospheric Environment, 185, 109-120, 2018.
  10. RS Priyanka, R Jayangondaperumal, A Pandey, RL Mishra, I Singh, R Bhushan, P Srivastava, S Ramachandran, C Shah, Sumita Kedia, AK Sharma, GR Bhat, Scientific Reports, 7 (1), 5433, 2017.
  11. Sumita Kedia, Ribu Cherian, Sahidul Islam, Subrata Kumar Das, Akshara Kaginalkar, 2016 : Regional simulation of aerosol radiative effects and their influence on rainfall over India using WRFChem model. Atmospheric Research, Vol-182, 232–242
  12. B Guinot, B Gonzalez, JPD Faria, Sumita kedia, Particulate matter characterization in a steelworks using conventional sampling and innovative lidar observations, Particuology, 28, 430-51, 2016.
  13. Ancy Thomas, Sagar Kashid, Akshara Kaginalkar and Sahidul Islam, 2016: How accurate are the weather forecasts available to the public in India? Weather, Vol. 71, No. 4, 84-88.
  14. Miraj K and Ancy Thomas, 2016: Optimization of weather model, International Journal of Recent and Innovation Trends in Computing and Communication (IJRITCC) – Volume 4,- issue 5/63
  15. Ancy Thomas, Rajasree Nair and Akshara Kaginalkar : Chapter on Weather forecasting technology for Crop Management: for the Book on Weather & Plant Health Management in Kerala (2015, Page 44 -63).
  16. S Ramachandran, Sumita Kedia, V Sheel, Spatiotemporal characteristics of aerosols in India: Observations and model simulations, Atmospheric Environment 116, 225-244, 2015.
  17. Sumita Kedia, S. Ramchandran, B.N Holben, S, N Tripathi, 2014: Quantification of aerosol type, and sources of aerosols over the Indo-Gangetic Plain. Atmospheric Environment, 98, 607-619.
  18. Srikanth Yalavarthi, Akshara Kaginalkar, 2014 : An Early Experience of Regional Ocean Modelling on Intel Many Integrated Core Architecture. 21st Annual International Conference on High Performance Computing December 17-20 December, 2014 Goa.
  19. Yesubabu V, Sahidul Islam, D. R. Sikka, Akshara Kaginalkar, Sagar Kashid, A.K. Srivastava, 2014: Impact of variational assimilation technique on simulation of a heavy rainfall event over Pune, India. Natural Hazards, Vol. 71-1, 639-658. DOI :10.1007/s11069-013-0933-2.
  20. Ancymol Thomas, Basanta K Samala, Akshara Kaginalkar, 2014: Simulation of North Indian Ocean Tropical Cyclones using RAMS Numerical Weather Prediction Model. Tropical Cyclone Research and Review, Vol. 3(1), 44-52.
  21. K. Ashok, Nagaraju C, Alex Sen G and D.S. Pai, 2014: Decadal Changes in the relationship between the Indian and Australian summer monsoons. Climate Dynamics, Vol. 42,3-4, 1043-1052. DOI: 10.1007/s00382-012-1625-4.
  22. S. Ramachandran and S. Kedia, 2013: Aerosol-Precipitation Interactions over India: Review and Future Perspectives. Advances in Meteorology, Vol. 2013, Article ID 649156.
  23. S. Ramachandran and S. Kedia, 2013: Aerosol Optical Properties over South Asia from Ground-Based Observations and Remote Sensing: A Review. Climate, 1(3), 84-119; doi:10.3390/cli1030084.
  24. C.V. Srinivas, V. Yesubabu, S.S.V.S. Ramakrishna and B. Venkatraman, 2013: Real-Time prediction of a severe cyclone ‘Jal’ over Bay of Bengal using a high resolution mesoscale model WRF (ARW). Natural Hazards, Vol. 65(1), 331-357. DOI: 10.1007/s11069-012-0364-5.
  25. C.V. Srinivas, Bhaskar Rao, D. V., Yesubabu, V., Baskaran, R. and Venkatraman, B., 2013: Tropical cyclone predictions over the Bay of Bengal using the high-resolution Advanced Research Weather Research and Forecasting (ARW) model. Quarterly Journal of the Royal Meteorological Society, Vol. 139, 676, 1810–1825. DOI: 10.1002/qj.2064.
  26. Samala, B. K., C, N., Banerjee, S., A Kaginalkar, and M Dalvi, 2013: Study of the Indian summer monsoon using WRF–ROMS regional coupled model simulations. Atmospheric Science Letters, Vol. 14, 1. DOI: 10.1002/asl2.409.
  27. Satyaban Bishoyi Ratna, 2012: Summer Monsoon Rainfall Variability over Maharashtra, India. Pure and Applied Geophysics, Vol. 169, 1-2, 259-273. DOI 10.1007/s00024-011-0276-4.
  28. D. R. Sikka and Satyaban Bishoyi Ratna, 2011: On Improving the Ability of a High-Resolution Atmospheric General Circulation Model for Dynamical Seasonal Prediction of the Extreme Seasons of the Indian Summer Monsoon. MAUSAM, 62, 3, 339-360.
  29. Ratna, S. B., Sikka, D. R., Dalvi, M. and Venkata Ratnam, J., 2011: Dynamical simulation of Indian summer monsoon circulation, rainfall and its interannual variability using a high resolution atmospheric general circulation model. International Journal of Climatology, Vol 31, 13, 1927–1942. DOI: 10.1002/joc.2202.
  30. Rao, V.B. and Satyaban Bishoyi Ratna, 2010: Mesoscale characteristics and prediction of an unusual extreme heavy precipitation event over India using a high resolution mesoscale model. Atmospheric Research, vol. 95, 2-3, 255-269. DOI: 10.1016/j.atmosres.2009.10.004
  31. J. Venkata Ratnam, D. R. Sikka and Sudipta Banerjee, 2008: Simulation of 2006 monsoon using T170L42 AGCM: sensitivity to convective parameterization schemes. International Journal of Climatology, Vol. 29, 2, 289–303. DOI: 10.1002/joc.1712.
  32. Ratnam J. Venkata, Filippo Giorgi, Akshara Kaginalkar, Stefano Cozzini, 2008: Simulation of Indian Monsoon using RegCM3–ROMS regional coupled model. Climate Dynamics, Vol. 33, 119-139. DOI: 10.1007/s00382-008-0433-3.
  33. J. Venkata Ratnam, D.R.Sikka, Akshara Kaginalkar, Amit Kesarkar, N. Jyothi and Sudipta Banerjee, 2007: Experimental Seasonal Forecast of Monsoon 2005 using Global T170L42 on PARAM Padma, Pure and Applied Geophysics, 164, 89,1641-1665. DOI: 10.1007/978-3-7643-8493-7_11.
  34. Amit P. Kesarkar, Mohit Dalvi, Akshara Kaginalkar and Ajay Ojha, 2007: Coupling of the Weather Research and Forecasting Model with AERMOD for pollutant dispersion modeling. A case study for PM10 dispersion over Pune, India. Atmospheric Environment, Vol. 41 (9), 1976-1988. DOI: 10.1016/j.atmosenv.2006.10.042.
  35. J. Venkata Ratnam and E. A. Cox, 2006: Simulation of monsoon depressions using MM5: sensitivity to cumulus parameterization schemes. Meteorol. Atmos. Phys., DOI 10.1007/s00703-005-0160-9. DOI:10.1007/s00703-005-0160-9.
  36. Mohit Dalvi, Gufran Beig, Uday Patil, Akshara Kaginalkar, C. Sharma and A.P. Mitra, 2006: A GIS based methodology for gridding of large-scale emission inventories: Application to carbon-monoxide emissions over Indian region. Atmospheric Environment, 40 (16), 2995-3007. DOI: 10.1016/j.atmosenv.2006.01.013.
  37. Venkata Ratnam and Krishna Kumar, 2005: Sensitivity of the Simulated Monsoons of 1987 and 1988 to Convective Parameterization Schemes in MM5, Journal of Climate, Vol. 18, No. 14, 2724-2743.
  38. S. Janakiraman, Ravi S. Nanjundiah, and P. N. Vinayachandran, 2005; Simulations of the Indian summer monsoon with a coupled ocean–atmosphere model on PARAM Padma, Current Science, Vol. 89, No. 9, 10.
  39. Purohit, S.C., Kaginalkar Akshara, Ratnam J.V., Janakiraman S. and Bali Manik, 2000: Implementation of a complete weather forecasting suite on PARAM 10000, Proceedings of the ninth ECMWF workshop on parallel processing.
  40. Purohit, S.C., Kaginalkar Akshara, Jindani, I., Ratnam, J. V., S., and Dash S. K, 1999: Development of parallel climate/forecast models on 100 GFlops PARAM computing systems Proceedings of the eight ECMWF workshop on the use of parallel processors in meteorology - 'Towards Teracomputing'.
  41. Purohit, S.C., Singh, T. V., Narayanan P.S., Kaginalkar Akshara, 1996: Global spectral medium range weather forecasting model on PARAM, Supercomputer 65, XII – 3, 27-36.