Poster Session 1 Artificial and Computational Intelligence and its Applications to the Environmental Sciences Poster Session

Tuesday, 9 January 2018: 3:45 PM-5:30 PM
Exhibit Hall 3 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Philipe Tissot, Texas A&M Univ., Conrad Blucher Institute, Corpus Christi, TX

Presentation of all posters part of the Conference on Artificial and Computational Intelligence and Its Applications to the Environmental Sciences.

Current State of Artificial Intelligence Exploitation in the AMS Community
Eric B. Wendoloski, The Aerospace Corporation, Chantilly, VA; and T. J. Hall, K. L. Yeakel, and P. J. Isaacson

Handout (1.2 MB)

Autonomous Operations of Complex Enviromental Systems
Timothy J. Hall, The Aerospace Corporation, Columbia, MD; and S. Marley, I. Guch, T. Radcliffe, and R. Birk

The Application of Machine Learning in "Understanding Clouds"
Jing Zhuang, Moji Weather, Beijing, China; and L. Ding and K. Yue

Handout (3.9 MB) Handout (3.9 MB)

A Machine Learning Model to Estimate Oak Pollen Concentration in Korea
Yun Am Seo, National Institute of Meteorological Sciences/Korea Meteorological Administration, Seogwipo-si, Korea, Republic of (South); and T. H. Kim, C. Cho, B. J. Kim, and K. R. Kim

The Methodology for Generationg Agricultural Weather Information Using Deep Learning
Sanghoo Yoon, Daegu Univ., Gyeongsan, Korea, Republic of (South); and H. Oh

A Machine Learning Approach to Severe Weather Nowcasting using Weather Radar Data
Nicole Rozin, SIMEPAR - Parana Meteorological System, Curitiba, Brazil; and C. Beneti, J. Ruviaro, T. Silva, C. Oliveira, P. H. Siqueira, and L. Calvetti

Improved Downburst Detection Algorithm using Doppler Radars in South Korea
Soyeon Park, Pukyong National Univ., Busan, Korea, Republic of (South); and D. I. Lee and Y. Hwang

Dual Application of Convolutional Neural Networks: Forecasts of Radar Precipitation Intensity and Offshore Radar-Like Mosaics
Christopher J. Mattioli, MIT Lincoln Laboratory, Lexington, MA; and M. S. Veillette and H. Iskenderian

High-Resolution Rapid Refresh Model Analytics in a High-Performance Computing Environment
Brian K. Blaylock, Univ. of Utah, Salt Lake City, UT; and J. D. Horel

- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner