Joint Session 21 AI Applications in Real-World Hydrologic Problems

Thursday, 14 January 2016: 1:30 PM-2:45 PM
Room 354 ( New Orleans Ernest N. Morial Convention Center)
Host: 14th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Valliappa Lakshmanan, Climate Corporation, Seattle, WA and John N. McHenry, Baron Advanced Meteorological Systems, LLC, Chief Scientist, Raleigh, NC

We invite submissions on topics related to machine learning and statistical methods applied to hydrologic problems, with a focus on real-world forecasting applications. We are also interested in submissions relating to the overall theme of Science in Service to Society as it applies to computational methods, hydrology, or hydrometeorology. Papers relating to the use of machine learning methods in creating hydrometeorological products and services, drought prediction, regional climate modeling, flood prediction and decision support tools are welcomed. The biennial AMS AI contest will also be held at the 2016 Annual AMS meeting as part of this joint session. The focus will be on estimating the probability of specific rainfall amounts given polarimetric radar observations. For more detail on the contest, see For additional information, please contact the program organizers, Valliappa Lakshmanan ( or John McHenry (

1:30 PM
A Rainfall Nowcasting Algorithm Based on Hydro-Estimator Data
Joan M. Castro, University of Puerto Rico, Mayaguez, PR; and N. D. Ramirez-Beltran and J. Gonzalez

2:00 PM
Spatial Clustering of Extreme Rainfall Events in Greater New York Area Using Weather Radar Data
Ali Hamidi, City University of New York, New York, NY; and N. Devineni, J. F. Booth, R. R. Ferraro, and R. Khanbilvardi
2:30 PM
Can We Obtain Viable Alternatives to Manning's Equation Using Genetic Programming?
Carlos Felipe Gaitan, University of Oklahoma/NOAA-GFDL, Princeton, NJ; and B. Moore III and V. Balaji
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