Session: Artificial and Computational Intelligence and its Applications to the Environmental Sciences Poster Session (98th American Meteorological Society Annual Meeting)

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

Chair:

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.

Papers:

687

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)

688

Autonomous Operations of Complex Enviromental Systems

Timothy J. Hall, The Aerospace Corporation, Columbia, MD; and S. Marley, I. Guch, T. Radcliffe, and R. Birk

689

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)

690

Bioelectric Field Measurements: Augmenting Image Recognition for Fisheries Management

691

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

692

The Methodology for Generationg Agricultural Weather Information Using Deep Learning

Sanghoo Yoon, Daegu Univ., Gyeongsan, Korea, Republic of (South); and H. Oh

693

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

694

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

695

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

696

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

592A

The Unusual Nature of West Coast NCDC Climate Divisions’ Seasonal Precipitation Anomaly Patterns Relative to ENSO Phase for the 2015−16 and 2016−17 Seasons, as Compared to Long-Term 1895−96 to 2014−15 Climatological Tendencies

Charles Fisk, Naval Base Ventura County, Pt. Mugu, CA