Kirtman, B. P., Misra, V., Anandhi, A., Palko, D., & Infanti, J. (2017). Future Climate Change Scenarios for Florida. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 533–555). Gainesville, FL: Florida Climate Institute.
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Kirtman, B. P., Misra, V., Burgman, R. J., Infanti, J., & Obeysekera, J. (2017). Florida Climate Variability and Prediction. In E. P. Chassignet, J. W. Jones, V. Misra, & J. Obeysekera (Eds.), Florida's climate: Changes, variations, & impacts (pp. 511–532). Gainesville, FL: Florida Climate Institute.
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Kranz, S. A., Wang, S., Kelly, T. B., Stukel, M. R., Goericke, R., Landry, M. R., et al. (2020). Lagrangian Studies of Marine Production: A Multimethod Assessment of Productivity Relationships in the California Current Ecosystem Upwelling Region. J. Geophys. Res. Oceans, 125(6).
Abstract: A multimethod process‐oriented investigation of diverse productivity measures in the California Current Ecosystem (CCE) Long‐Term Ecological Research study region, a complex physical environment, is presented. Seven multiday deployments covering a transition region from high to low productivity were conducted over two field expeditions (spring 2016 and summer 2017). Employing a Lagrangian study design, water parcels were followed over several days, comparing 24‐h in situ measurements (14C and 15NO3 ‐uptake, dilution estimates of phytoplankton growth, and microzooplankton grazing) with high‐resolution productivity measurements by fast repetition rate fluorometry (FRRF) and equilibrium inlet mass spectrometry (EIMS), and integrated carbon export measuremnts using sediment traps. Results show the importance of accounting for temporal and fine spatial scale variability when estimating ecosystem production. FRRF and EIMS measurements resolved diel patterns in gross primary and net community production. Diel productivity changes agreed well with comparably more traditional measurements. While differences in productivity metrics calculated over different time intervals were considerable, as those methods rely on different base assumptions, the data can be used to explain ecosystem processes which would otherwise have gone unnoticed. The processes resolved from this method comparison further understanding of temporal and spatial coupling and decoupling of surface productivity and potential carbon burial in a gradient from coastal to offshore ecosystems.
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Kreitner, E., & O'Brien, J. J. (2000). Front Range Flash Flooding and El Nino. COAPS Technical Report 00-2, 44 pp., Center for Ocean-Atmospheric Prediction Studies, Florida State University, Tallahassee, FL, 32306-2840.
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Krishnamurti, T. N., Karmakar, N., Misra, V., Nag, B., Sahu, D., Dubey, S., et al. (2018). Association between upper level diffluence in the Tropical Easterly Jet and the formation of the strongest Atlantic hurricanes in recent years. SPIE, 10782, 10.
Abstract: In this paper we report the evidence of the potential role of diffluence in the 200hPa wind field off the coast of West Africa in the formation of a significant number of Category 4 and Category 5 hurricanes in the recent decade. It is shown that more than 80% cases of hurricanes at Category 4 and above is preceded by upper level diffluence in the Tropical Easterly Jet (TEJ) by 0{5 days. This TEJ is the outflow from the southern flank of the Tibetan anticyclone from the Asian monsoon region.
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Krishnamurti, T. N., Kishtawal, C., LaRow, T. E., Bachiochi, D., Zhang, Z., Williford, C., et al. (1999). Improved Skill for Weather and Seasonal Climate Forecasts from Multi-Model Super Ensemble. Science, 285(5433), 1548–1550.
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Krishnamurti, T. N., Kishtawal, C. M., Shin, D. W., & Williford, C. E. (2000). Improving Tropical Precipitation Forecasts from a Multianalysis Superensemble. J. Climate, 13(23), 4217–4227.
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Krishnamurti, T. N., Rajendran, K., Vijaya Kumar, T. S. V., Lord, S., Toth, Z., Zou, X., et al. (2003). Improved Skill for the Anomaly Correlation of Geopotential Heights at 500 hPa. Mon. Wea. Rev., 131(6), 1082–1102.
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Krishnamurti, T. N., Surendran, S., Shin, D. W., Correa-Torres, R. J., Vijaya Kumar, T. S. V., Williford, E., et al. (2001). Real-Time Multianalysis-Multimodel Superensemble Forecasts of Precipitation Using TRMM and SSM/I Products. Mon. Wea. Rev., 129(12), 2861–2883.
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Kulkarni, S. C., Legler, D. M., & O'Brien, J. J. (1998). Variability of Surface Wind Convergence Estimated from ERS-1 and ERS-2 Scatterometer Winds Over the Indian Ocean. COAPS Technical Report 98-1. Tallahassee, FL: Center for Ocean-Atmospheric Prediction Studies, Florida State University.
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