Misra, V., & DiNapoli, S. M. (2013). Understanding the wet season variations over Florida.
Clim Dyn, 40(5-6), 1361–1372.
Misra, V., & Li, H. (2014). The seasonal predictability of the Asian summer monsoon in a two-tiered forecast system.
Clim Dyn, 42(9-10), 2491–2507.
Misra, V., Li, H., Wu, Z., & DiNapoli, S. (2014). Global seasonal climate predictability in a two tiered forecast system: part I: boreal summer and fall seasons.
Clim Dyn, 42(5-6), 1425–1448.
Misra, V., Pantina, P., C. Chan, S., & DiNapoli, S. (2012). A comparative study of the Indian summer monsoon hydroclimate and its variations in three reanalyses.
Clim Dyn, 39(5), 1149–1168.
Misra, V., Stroman, A., & DiNapoli, S. (2013). The rendition of the Atlantic Warm Pool in the reanalyses.
Clim Dyn, 41(2), 517–532.
Misra, V., Bhardwaj, A., & Mishra, A. (2018). Characterizing the rainy season of Peninsular Florida.
Climate Dynamics, 51(5-6), 2157–2167.
Abstract: Peninsular Florida (PF) has a very distinct wet season that can be objectively defined with onset and demise dates based on daily rainfall. The dramatic onset of rains and its retreat coincides with the seasonal cycle of the regional scale atmospheric and upper ocean circulations and upper ocean heat content of the immediate surrounding ocean. The gradual warming of the Intra-Americas Seas (IAS; includes Gulf of Mexico, Caribbean Sea and parts of northwestern subtropical Atlantic Ocean) with the seasonal evolution of the Loop Current and increased atmospheric heat flux in to the ocean eventually enhance the moisture flux into terrestrial PF around the time of the onset of the Rainy Season of PF (RSPF). Similarly, the RSPF retreats with the cooling of the IAS that coincides with the weakening of the Loop Current and reduction of the upper ocean heat content of the IAS. It is also shown that anomalous onset and demise dates of the RSPF have implications on its seasonal rainfall anomalies.
Oh, J. - H., Kim, B. - M., Kim, K. - Y., Song, H. - J., & Lim, G. - H. (2013). The impact of the diurnal cycle on the MJO over the Maritime Continent: a modeling study assimilating TRMM rain rate into global analysis.
Clim Dyn, 40(3-4), 893–911.
Parfitt, R., Ummenhofer, C. C., Buckley, B. M., Hansen, K. G., & D'Arrigo, R. D. (2020). Distinct seasonal climate drivers revealed in a network of tree-ring records from Labrador, Canada.
Clim Dyn, 54(3-4), 1897–1911.
Abstract: Traditionally, high-latitude dendroclimatic studies have focused on measurements of total ring width (RW), with the maximum density of the latewood (MXD) serving as a complementary variable. Whilst MXD has typically improved the strength of the growing season climate connection over that of RW, its measurements are costly and time-consuming. Recently, a less costly and more time-efficient technique to extract density measurements has emerged, based on lignin's propensity to absorb blue light. This Blue Intensity (BI) methodology is based on image analyses of finely-sanded core samples, and the relative ease with which density measurements can be extracted allows for significant increases in spatio-temporal sample depth. While some studies have attempted to combine RW and MXD as predictors for summer temperature reconstructions, here we evaluate a systematic comparison of the climate signal for RW and latewood BI (LWBI) separately, using a recently updated and expanded tree ring database for Labrador, Canada. We demonstrate that while RW responds primarily to climatic drivers earlier in the growing season (January-April), LWBI is more responsive to climate conditions during late spring and summer (May-August). Furthermore, RW appears to be driven primarily by large-scale atmospheric dynamics associated with the Pacific North American pattern, whilst LWBI is more closely associated with local climate conditions, themselves linked to the behaviour of the Atlantic Multidecadal Oscillation. Lastly, we demonstrate that anomalously wide or narrow growth rings consistently respond to the same climate drivers as average growth years, whereas the sensitivity of LWBI to extreme climate conditions appears to be enhanced.
Selman, C., & Misra, V. (2017). The impact of an extreme case of irrigation on the southeastern United States climate.
Clim Dyn, 48(3-4), 1309–1327.
Stefanova, L., Misra, V., Chan, S., Griffin, M., O'Brien, J. J., & Smith III, T. J. (2012). A proxy for high-resolution regional reanalysis for the Southeast United States: assessment of precipitation variability in dynamically downscaled reanalyses.
Clim Dyn, 38(11-12), 2449–2466.