• Machine Learning Applications for Agricultural Impacts Under Extreme Events. Book Chapter (Climate Extremes and their Implications Across Sectors. Editors: Jana Sillmann, Simone Russo and Sebastian Sippel). Elsevier (2019) Accepted.
  • B. Muhling; J. Jacobs, C.A. Stock, C. F. Gaitan; V. S. Saba. Projections of the future occurrence, distribution and seasonality of three Vibrio species in the Chesapeake Bay under a high-emission climate change scenario. GeoHealth (Accepted 2017). DOI: 10.1002/2017GH000089    
  •  B. Muhling, C. F. Gaitan, C. Stock, V. Saba, D. Tommasi, K. Dixon. Potential salinity and temperature futures for the Chesapeake Bay using a statistical downscaling spatial disaggregation framework. Estuaries and Coasts (Accepted 2017).
  •   L. Qiao, C.B. Zou, C.F Gaitán, Y. Hong, R.A. McPherson. Analysis of precipitation projections over the climate gradient of the Arkansas-Red River Basin. Journal of Applied Meteorology and Climatology (2017).

  • D. Tommasi, C. A. Stock, A. J. Hobday, R. Methot, I. C. Kaplan, P. Eveson, K. Holsman, T. J. Miller, S. Gaichas, M. Gehlen, A. Pershing, G. A. Vecchi, R. Msadek, T. Delworth, C. M. Eakin, M. A. Haltuch, R. Séférian, C. M. Spillman, J. R. Hartog, S. Siedlecki, J. F. Samhouri, B. Muhling, R. G. Asch, M. L. Pinsky, V. S. Saba, S. B. Kapnick, C. F. Gaitan, R. R. Rykaczewski, M. A. Alexander, Y. Xue, K. V. Pegion, P. Lynch, M. R. Payne, T. Kristiansen, P. Lehodey, and C. Werner. Managing living marine resources in a dynamic environment: the role of seasonal to decadal climate forecasts. Progress in Oceanography (2016).
  •  C.F Gaitan. Effects of variance adjustment techniques and time-invariant transfer functions on heat wave duration indices and other metrics derived from downscaled time-series. Study case: Montreal, Canada. Natural Hazards. (2016). OPEN ACCESS. DOI: 10.1007/s11069-016-2381-2
  •  N. Ruiz Castillo & C.F Gaitan. Projecting Future Change in Growing Degree Days for Winter Wheat. Agriculture. 6(3)-47 (2016). OPEN ACCESS.DOI: 10.3390/agriculture6030047
  •  C.F Gaitan, V. Balaji & B. Moore III. Can we obtain viable alternatives to Manning's equation using genetic programming?. Artificial Intelligence Research. June 2016. OPEN ACCESS. DOI: 10.5430/air.v5n2p92 
  • C.F. Gaitan, A.J. Cannon. Validation of historical and future statistically downscaled pseudo observed surface wind speeds in terms of climate and daily variability.  Renewable Energy. March 2013.
  • C.F. Gaitan, W.W. Hsieh, A.J. Cannon. Comparison of statistical downscaling methods for future weather and climate. Research article (Submitted).
  • C.F. Gaitan Ospina. Implementation of Technological Surveillance tools to the technologies related with the study of the biogeochemical cycles. Journal of Technology Management & Innovation. Vol 4, No. 2 (2009).