My primary research interests are in the areas of (1) atmospheric convection, (2) tropical dynamics, and (3) regional hydroclimatology. The primary goal of my research is to improve our understanding of clouds, convection, and precipitation in a changing climate to improve predictability of hydroclimatological changes in response to anthropogenic warming. My research combines field campaign observations, satellite observations, and cloud resolving models to study the physical processes controlling deep convection and heavy precipitation at the storm-scale, as well as climate models to study the interactions between deep convection, clouds, and the large-scale atmospheric circulation across scales in the tropics.

CV

Schiro Google Scholar

Selected Publications

Schiro, K. A., S. C. Sullivan, Y.-H. Kuo, H. Su, P. Gentine, G. Elsaesser, J. H. Jiang, and J. D. Neelin, 2020: Environmental controls on tropical mesoscale convective system precipitation intensity. Journal of the Atmospheric Sciences, 77(12), 4233-4249.

Zhang, C., S. Xie, C. Tao, S. Tang, T. Emmenegger, J. D. Neelin, K. A. Schiro, W. Lin, 2020: The ARM Data-oriented Metrics and Diagnostics Package for Climate Models. Bulletin for the American Meteorological Society (BAMS), 101(10), E1619-E1627.

Sullivan, S. C., Schiro, K. A., Yin, J., & Gentine, P. (2020). Changes in tropical precipitation intensity with El Niño warming. Geophysical Research Letters, 47(14), e2020GL087663.

Kuo, Y. H., J. D. Neelin, J. F. Booth, C.-C. Chen, W.-T. Chen, A. Gettelman, X. Jiang, E. Maloney, C. R. Mechoso, Y. Ming, K. A. Schiro, C. J. Seman, C.-M. Wu, and M. Zhao, 2020: Convective transition statistics over tropical oceans for climate model diagnostics: GCM performance. J. Atmos. Sci., 77(1), 379-403.

Schiro, K. A., H. Su, Y. Wang, B. G. Langenbrunner, J. H. Jiang, and J. D. Neelin, 2019: Relationships between tropical circulation and high cloud fraction changes with warming revealed by perturbation physics experiments in CAM5. Geophysical Research Letters, DOI: 10.1029/2019GL083026

Sullivan, S. C., K. A. Schiro, C. Stubenrauch, and P. Gentine, 2019: The response of organized convection throughout the tropics to El Nino warming. Journal of Geophysical Research: Atmospheres, 124, 8481-8500.

Wang, D., S. E. Giangrande, K. A. Schiro, M. P. Jensen, and R. A. Houze, 2019: The Characteristics of Tropical and Midlatitude Mesoscale Convective Systems as Revealed by Radar Wind Profilers. Journal of Geophysical Research: Atmospheres, 124(8), 4601-4619.

Schiro, K. A. and J. D. Neelin, 2019: Deep Convective Organization, Moisture Vertical Structure and Convective Transition using Deep-Inflow Mixing. Journal of the Atmospheric Sciences, 76(4), 965-987.

Chakraborty, S., K. A. Schiro, R. Fu, and J. D. Neelin, 2018: On the role of aerosols, humidity, and vertical wind shear in the transition to deep convection at the Green Ocean Amazon 2014/5 site. Atmos. Chem. Phys., 18(15), DOI:10.5194/acp-18-11135-2018.

Schiro, K. A., F. Ahmed, S. E. Giangrande, and J. D. Neelin, 2018: GOAmazon campaign points to deep-inflow approach to deep convection across scales. Proc. Natl. Acad. Sci., 115(18), 4577-4582.

Kuo, Y-H., K. A. Schiro, and J. D. Neelin, 2018: Convective transition statistics over tropical oceans for climate model diagnostics: Observational baseline. J. Atmos. Sci., 75, 1553-1570.

Schiro, K. A. and J. D. Neelin, 2018: Tropical Continental Downdraft Characteristics: Mesoscale Systems versus Unorganized Convection. Atmospheric Chemistry and Physics, 18, 1997-2010.

B. R. Lintner, D. K. Adams, K. A. Schiro, A. Stansfield, A. da Rocha, and J. D. Neelin, 2017: Relationships among climatological moisture vertical structure, column water vapor, and precipitation over the central Amazon in CMIP5 models. Geophysical Research Letters, 44, DOI: 10.1002/2016GL071923.

Schiro, K. A., J. D. Neelin, D. K. Adams, B. R. Lintner, 2016: Deep Convection and Column Water Vapor over Tropical Land vs. Tropical Ocean: A comparison between the Amazon and the Tropical Western Pacific. Journal of the Atmospheric Sciences, 73(10), 4043–4063.