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Committee on Artificial Intelligence

Applications to Environmental Science

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AMS Committee on Artificial Intelligence
Applications to Environmental Science
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The mission of this Committee is to ensure that members of the Society are informed about and encouraged to use modern artificial intelligence techniques that can contribute meaningfully to their scientific research and algorithm development activities.  The term artificial intelligence denotes a large body of advanced computer  techniques for data analysis, knowledge discovery and operational system development that have been productively applied to a large number of scientific and industrial applications.  

The Committee believes that significant opportunity exists to further the aims of the Society by applying AI techniques to problems in meteorology and related disciplines.  Society members concerned with artificial intelligence may include forecasters who wish to improve forecast skill; psychologists who wish to improve the human forecasting environment by using intelligent computer assistance; statisticians who are interested in evaluating the performance of both humans and machines; researchers who wish to create an organized base of current meteorological knowledge; and computer scientists who wish to develop sophisticated and useful computer programs for handling the immense datasets and complex systems inherent to meteorology.

The functions of the Committee on Artificial Intelligence Applications to Environmental Science are:

  1. to encourage the use of artificial intelligence techniques to advance those fields of endeavor of interest to the Society;
  2. to support the creation of high quality expository and research publications on the use of artificial intelligence in the environmental sciences (meteorology, climatology, oceanography, hydrology, etc.), particularly in the Society’s journals;
  3. to assess new results from the field of artificial intelligence for efficacy and for relevance to environmental science and related applications;
  4. to foster AI collaborations between industry and the environmental science academic community;
  5. to provide educational opportunities on the applications of artificial intelligence in the environmental sciences;
  6. to encourage researchers in the field of artificial intelligence to address problem areas that are of interest to the Society;
  7. to serve as a communications link and focal point for discussions among Society members who are using, or who would like to use, artificial intelligence techniques;
  8. to interact with other AMS committees and other societies in matters involving artificial intelligence;
  9. to encourage and support, as appropriate, sessions focusing on the use of artificial intelligence in the Society's topical meetings; and
  10. to sponsor and organize, on behalf of the Society, topical meetings and special sessions on the applications of artificial intelligence to environmental science.
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Committee Members
Dr. Amy McGovern [ website ]
amcgovern@ou.edu
Member, Chair University of Oklahoma
110 W Boyd St
Norman, OK 73019
Dr. Michael E. Baldwin [ website ]
baldwin@purdue.edu
Member Purdue University
550 Stadium Mall Dr.
West Lafayette, IN 47907-2051
Dr. Jeffrey B. Basara [ website ]
jbasara@ou.edu
Member Oklahoma Climatological Survey
Univ. of Oklahoma
120 David L. Boren Blvd.
Norman, OK 73072
Dr. Kimberly L. Elmore, CCM
cw_de_n5op@sbcgobal.net
Member NSSL
120 David L. Boren Blvd.
Norman, OK 73072
Dr. Rahul Ramachandran [ website ]
rramachandran05@gmail.com
Member University of Alabama in Huntsville
Information Technology and Systems Center
301 Sparkman Drive
Huntsville, AL 35899
Dr. Alex J. Cannon [ website ]
acannon@uvic.ca
Member University of Victoria
University House 1
PO Box 3060 Stn CSC
Vancouver, BC, V8W 3RW
Canada
Dr. Haig Iskenderian [ website ]
haig@ll.mit.edu
Member MIT Lincoln Laboratory
Weather Sensing
244 Wood Street
Lexington, MA 02420
Dr. Armando Pelliccioni
armando.pelliccioni@ispesl.it
Member Via Fontana Candia da -1
Monteporizio (Rome)
Italy
Dr. Gerry Wiener
gerry@ucar.edu
Member National Center for Atmospheric Research
Research Applications Lab
P.O. Box 3000
Boulder, CO 80307 USA
Mr. David John Gagne II
djgagne@ou.edu
Student Member School of Meteorology
National Weather Center, Suite 5900
120 David L. Boren Blvd.
Norman, OK 73072
Mr. Carlos Gaitan
cgaitan@eos.ubc.ca
Student Member University of British Columbia (UBC)
Dept. of Earth and Ocean Sciences
6339 Stores Road
Vancouver, BC 00115 V6T 1Z4 Canada
Additional contact information for past and present members