Krishnamurti, T. N., Jana, S., Krishnamurti, R., Kumar, V., Deepa, R., Papa, F., et al. (2017). Monsoonal intraseasonal oscillations in the ocean heat content over the surface layers of the Bay of Bengal.
Journal of Marine Systems, 167, 19–32.
Li, H., & Misra, V. (2014). Thirty-two-year ocean-atmosphere coupled downscaling of global reanalysis over the Intra-American Seas.
Clim Dyn, 43(9-10), 2471–2489.
Li, H., & Misra, V. (2014). Global seasonal climate predictability in a two tiered forecast system. Part II: boreal winter and spring seasons.
Clim Dyn, 42(5-6), 1449–1468.
Lim, Y. - K., & Kim, K. - Y. (2006). A New Perspective on the Climate Prediction of Asian Summer Monsoon Precipitation.
J. Climate, 19(19), 4840–4853.
McNaught, C. (2014).
The Increasing Intensity and Frequency of ENSO and its Impacts to the Southeast U.S. Bachelor's thesis, Florida State University, Tallahassee, FL.
Michael, J. - P. (2014).
On Initializing CGCMs for Seasonal Predictability of ENSO. Ph.D. thesis, Florida State University, Tallahassee, FL.
Misra, V., & Bhardwaj, A. (2019). Defining the Northeast Monsoon of India.
Mon. Wea. Rev., 147(3), 791–807.
Abstract: This study introduces an objective definition for onset and demise of the Northeast Indian Monsoon (NEM). The definition is based on the land surface temperature analysis over the Indian subcontinent. It is diagnosed from the inflection points in the daily anomaly cumulative curve of the area-averaged surface temperature over the provinces of Andhra Pradesh, Rayalseema, and Tamil Nadu located in the southeastern part of India. Per this definition, the climatological onset and demise dates of the NEM season are 6 November and 13 March, respectively. The composite evolution of the seasonal cycle of 850hPa winds, surface wind stress, surface ocean currents, and upper ocean heat content suggest a seasonal shift around the time of the diagnosed onset and demise dates of the NEM season. The interannual variations indicate onset date variations have a larger impact than demise date variations on the seasonal length, seasonal anomalies of rainfall, and surface temperature of the NEM. Furthermore, it is shown that warm El Niño�Southern Oscillation (ENSO) episodes are associated with excess seasonal rainfall, warm seasonal land surface temperature anomalies, and reduced lengths of the NEM season. Likewise, cold ENSO episodes are likely to be related to seasonal deficit rainfall anomalies, cold land surface temperature anomalies, and increased lengths of the NEM season.
Misra, V., & DiNapoli, S. (2014). The variability of the Southeast Asian summer monsoon.
Int. J. Climatol., 34(3), 893–901.
Misra, V., & DiNapoli, S. M. (2013). Understanding the wet season variations over Florida.
Clim Dyn, 40(5-6), 1361–1372.
Misra, V., & Dirmeyer, P. A. (2009). Air, Sea, and Land Interactions of the Continental U.S. Hydroclimate.
J. Hydrometeor, 10(2), 353–373.