1. Panda, S. K., Gedam, S. S., and Rajaram, G. (2015). Study of Ionospheric TEC from GPS observations and comparisons with IRI and SPIM model predictions in the low latitude anomaly Indian subcontinental region. Advances in Space Research, 55(8), 1948-1964.

  2. Rao, A.B. and Kumar, P. (2014). Cost Implications of Carbon Capture and Storage for the Coal Power Plants in India, Energy Procedia, 54, 431 – 438.

  3. Bhoyar, S., Shrivastava, R., Gupta, N., Dusad, S., Mishra, S. and Rao, A. B. (2014). Understanding the impact of lifestyle on individual carbon footprint, Procedia - Social and Behavioral Sciences, 133, 47-60.

  4. Ganguli, P., and Reddy, M. J. (2014). Evaluation of trends and multivariate frequency analysis of droughts in three meteorological subdivisions of western India. International Journal of Climatology, 34(3), 911-928.

  5. Upadhyaya, S., and Ramsankaran, R. A. A. J. (2014). Multi-Index Rain Detection: A New Approach for Regional Rain Area Detection from Remotely Sensed Data. Journal of Hydrometeorology, 15(6), 2314-2330.

  6. Liu, J., Huang, J., Tian, L., Ma, H., Su, W., Ramsankaran, R., Zhang, X., and Zhu, D. (2014). Regional winter wheat yield prediction by integrating MODIS LAI into the WOFOST model with sequential assimilation technique. Food, Agriculture and Environment, 12(1), 180-187.

  7. Mavukkandy, M. O., Karmakar, S., and Harikumar, P. S. (2014). Assessment and rationalization of water quality monitoring network: a multivariate statistical approach to the Kabbini River (India). Environmental Science and Pollution Research, 21(17), 10045-10066.

  8. Kannan, S., Ghosh, S., Mishra, V., and Salvi, K. (2014). Uncertainty resulting from multiple data usage in statistical downscaling. Geophysical Research Letters, 41(11), 4013-4019.

  9. Pathak, A., Ghosh, S., and Kumar, P. (2014). Precipitation Recycling in the Indian Subcontinent during Summer Monsoon. Journal of Hydrometeorology, 15(5), 2050-2066.

  10. Mittal, S. K., Momaya, K. S., and Agrawal, S. (2013). Longitudinal and Comparative Perspectives on the Competitiveness of Countries: Learning from Technology and the Telecom Sector. Journal of CENTRUM Cathedra: The Business and Economics Research Journal, 6(2), 235-256.Doi:http://dx.doi.org/10.7835/jcc-berj-2013-0090

  11. Ganguli, P., and Reddy, M. J. (2013). Analysis of ENSO-based climate variability in modulating drought risks over western Rajasthan in India. Journal of Earth System Science, 122(1), 253-269.

  12. Behera, M. R., Chun, C., Palani, S., and Tkalich, P. (2013). Temporal variability and climatology of hydrodynamic, water property and water quality parameters in the West Johor Strait of Singapore. Marine pollution bulletin, 77(1), 380-395.

  13. Ramsankaran, R. A. A. J., Kothyari, U. C., Ghosh, S. K., Malcherek, A., and Murugesan, K. (2013). Physically-based distributed soil erosion and sediment yield model (DREAM) for simulating individual storm events. Hydrological Sciences Journal, 58(4), 872-891.

  14. Gautam, R., Hsu, N. C., Lau, W. K. M., and Yasunari, T. J. (2013). Satellite observations of desert dust‐induced Himalayan snow darkening. Geophysical Research Letters, 40(5), 988-993.

  15. Gautam, R., Hsu, N. C., Eck, T. F., Holben, B. N., Janjai, S., Jantarach, T., Tsay, S., and Lau, W. K. (2013). Characterization of aerosols over the Indochina peninsula from satellite-surface observations during biomass burning pre-monsoon season. Atmospheric Environment, 78, 51-59.

  16. Vittal, H., Karmakar, S., and Ghosh, S. (2013). Diametric changes in trends and patterns of extreme rainfall over India from pre‐1950 to post‐1950. Geophysical Research Letters, 40(12), 3253-3258.

  17. Alameddine, I., Karmakar, S., Qian, S. S., Paerl, H. W., and Reckhow, K. H. (2013). Optimizing an estuarine water quality monitoring program through an entropy‐based hierarchical spatiotemporal Bayesian framework. Water Resources Research, 49(10), 6933-6945.

  18. Ducret-Stich, R. E., Tsai, M. Y., Ragettli, M. S., Ineichen, A., Kuenzli, N., and Phuleria, H. C. (2013). Role of highway traffic on spatial and temporal distributions of air pollutants in a Swiss Alpine valley. Science of the Total Environment, 456, 50-60.

  19. Ragettli, M. S., Corradi, E., Braun-Fahrländer, C., Schindler, C., de Nazelle, A., Jerrett, M., Ducret-Stich, R.E., Künzli, N., and Phuleria, H. C. (2013). Commuter exposure to ultrafine particles in different urban locations, transportation modes and routes.Atmospheric Environment, 77, 376-384.

  20. Hsu, N. C., Gautam, R., Sayer, A. M., Bettenhausen, C., Li, C., Jeong, M. J., and  Holben, B. N. (2012). Global and regional trends of aerosol optical depth over land and ocean using SeaWiFS measurements from 1997 to 2010. Atmos. Chem. Phys, 12(17), 8037-8053.

  21. Ghosh, S., Das, D., Kao, S. C., and  Ganguly, A. R. (2012). Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes.Nature Climate Change, 2(2), 86-91.