Joint Session 52 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences

Program Chair: Philippe Tissot , Texas A&M University-Corpus Christi
Reviewers: Edwin Campos , Uptake Technologies ; Gerald J. Creager , CIMMS/Univ. of Oklahoma and NOAA/NSSL ; David John Gagne II , NCAR ; Carlos F. Gaitan , Carlos Gaitan ; Auroop Ganguly , Northeastern Univ. ; Sarvesh Garimella , ACME AtronOmatic, LLC ; Sue Haupt , NCAR ; William W. Hsieh , Univ. of British Columbia ; Amy McGovern , Univ. of Oklahoma ; Surya Karthik Mukkavilli , Univ. of New South Wales/CSIRO Australia/World Energy Meteorology Council UK/GroundObs Ltd. ; Michael J. Starek , Texas A & M Univ.

- Indicates paper has been withdrawn from meeting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

Sunday, 7 January 2018

4:00 PM-5:00 PM: Sunday, 7 January 2018

Monday, 8 January 2018

8:30 AM-8:45 AM: Monday, 8 January 2018


Plenary Session 2
Welcoming Address
Location: Austin, Texas

8:45 AM-10:00 AM: Monday, 8 January 2018

Recording files available
Session 1
AI Techniques Applied to Environmental Science: Part I
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair: Edwin Campos, Uptake Technologies
8:45 AM
1.1
Real-Time and Climatological Storm Classification Using Machine Learning
Amy McGovern, Univ. of Oklahoma, Norman, OK; and E. Jergensen, C. Karstens, H. Obermeier, and T. Smith
9:00 AM
1.2
Real-Time and Climatological Storm Classification Using Support Vector Machines
Eli Jergensen, CIMMS/Univ. of Oklahoma, Norman, OK; and A. McGovern, C. Karstens, H. Obermeier, and T. Smith
9:15 AM
1.3
Examining Atmospheric Drivers of Temperature, Clouds, and Radiation at Summit, Greenland, with Self-Organizing Maps
Michael Gallagher, CIRES/Univ. of Colorado, Boulder, CO; and M. Shupe and N. Miller

9:30 AM
1.4
9:45 AM
1.5
Reduced Order Modeling for Global Atmospheric Chemistry Simulation Data
Meghana Velegar, Univ. of Washington, Seattle, WA; and C. A. Keller and J. N. Kutz

10:00 AM-10:30 AM: Monday, 8 January 2018


Coffee Break

10:30 AM-12:00 PM: Monday, 8 January 2018

Recording files available
Session 2
AI Techniques for Environmental Science and Extreme Weather
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair: William W. Hsieh, Univ. of British Columbia
10:30 AM
2.1
Applying Image Recognition to Enhance Fisheries Management Capabilities
Tzofi Klinghoffer, The Univ. of Alabama, Tuscaloosa, AL; and C. R. Perez, R. Vincent, P. Perdikaris, and C. Chryssostomidis
10:45 AM
2.2
Computational Linguistics and the Communication of Weather Forecasts
Harvey Stern, Univ. of Melbourne, Melbourne, Australia
11:15 AM
2.4
Predicting 12-hour Storm Reports Using Random Forest Classification
David Harrison, CIMMS/Univ. of Oklahoma/NOAA/NSSL, Norman, OK; and J. W. Rogers
11:30 AM
2.5
Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations
Ankur Mahesh, LBNL, Cupertino, CA; and T. A. O'Brien, M. Prabhat, and W. Collins
11:45 AM
2.6
SASSE: Object-Oriented Analysis, Classifying and Nowcasting of Convective Storms in Finland
Roope Tervo, Finnish Meteorological Institute, Helsinki, Finland; and J. Karjalainen, S. Oksman, and P. Rossi

12:00 PM-2:00 PM: Monday, 8 January 2018


Lunch Break

2:00 PM-3:00 PM: Monday, 8 January 2018

Recording files available
Lecture 1
2018 Haurwitz Lecture
Location: Salon K (Hilton) (Austin, Texas)
Cochairs: Ángel F. Adames, GFDL; Scott W. Powell, Colorado State Univ.

2:00 PM-3:15 PM: Monday, 8 January 2018

Recording files available
Session 3
AI Techniques for Decision Support
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair: Edwin Campos, Uptake Technologies
2:00 PM
3.1
Using Machine Learning to Forecast Severe Thunderstorm Winds on a CONUS-Wide Grid
Ryan A. Lagerquist, Univ. of Oklahoma, Norman, OK; and A. McGovern, M. B. Richman, and T. Smith
2:15 PM
3.2
Automatic Integrated Control of Lawn Irrigation with Rainwater Harvesting for Water Conservation and Stormwater Reduction
Fatemeh Habibi Ardekani, Univ. of Texas, Arlington, TX; and J. lee, S. Noh, and D. J. Seo

2:30 PM
3.3
A Decision Support Tool for Optimal Control of Planet Temperature Using Reinforcement Learning
Phuong D. Ngo, University of Tromsø (UiT), The Arctic Univ. of Norway, Tromsø, Norway; and M. Tejedor and F. Godtliebsen

2:45 PM
3.4
The Construction of an Earth Science Knowledge Network
Tsengdar Lee, NASA, Washington, DC; and J. Zhang and R. Ramachandran
3:00 PM
3.5
Using Machine Learning to Predict Warm-Season Convection over Northeastern Colorado
Gregory R. Herman, Colorado State Univ., Fort Collins, CO; and R. S. Schumacher

3:30 PM-4:00 PM: Monday, 8 January 2018

Recording files available
Session 4
AI Applications to the Environment in Private Companies and Public−Private Partnerships
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair: Sarvesh Garimella, ACME AtronOmatic, LLC
3:30 PM
4.1
3:45 PM
4.2
Cloud Classification of Cellphone Photos by Machine Learning
Kun Yue, Moji Weather, Beijing, China; and J. Zhuang and L. Ding

4:15 PM-6:00 PM: Monday, 8 January 2018


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall 3 (ACC) (Austin, Texas)

8:00 PM-10:00 PM: Monday, 8 January 2018


Ryan Symposium Reception
Location: The Reverbery at the Hilton (Austin, Texas)

Tuesday, 9 January 2018

8:30 AM-10:00 AM: Tuesday, 9 January 2018

Recording files available
Session 5
AI Techniques for Numerical Weather Predictions
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Chair: Surya Karthik Mukkavilli, Univ. of New South Wales/CSIRO Australia/World Energy Meteorology Council UK/GroundObs Ltd.
8:30 AM
5.1
NCAR's Gridded Atmospheric Forecast System (GRAFS)
Sue Ellen Haupt, NCAR, Boulder, CO; and D. J. Gagne II, J. Cowie, S. Linden, G. Wiener, and J. A. Lee
8:45 AM
5.2
Nonlinear Averaging of NCEP Wave Model Ensemble Using an Ensemble of NNs
Vladimir M. Krasnopolsky, NOAA/NWS/NCEP, College Park, MD; and R. Campos, J. H. G. M. Alves, and S. G. Penny
9:00 AM
5.3
Exploring Using Artificial Intelligence (AI) for NWP and Situational Awareness Applications
Sid A. Boukabara, NOAA/NESDIS, College Park, MD; and E. Maddy, K. Ide, K. Garrett, E. Jones, K. Kumar, N. Shahroudi, and A. Neiss
9:15 AM
5.4
Automated Detection of Bird Roosts using NEXRAD Radar Data and Convolutional Neural Networks
Carmen Chilson, Univ. of Oklahoma, Norman, OK; and K. Avery, A. McGovern, E. Bridge, D. Sheldon, and J. F. Kelly
9:30 AM
5.5
Using Random Forests to Assess Environmental Modulation of Mesocyclone Intensity in the NSSL Experimental Warn-on-Forecast System for Ensembles
Patrick S. Skinner, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and C. K. Potvin, D. M. Wheatley, K. H. Knopfmeier, and L. J. Wicker
9:45 AM
5.6
Machine Learning with Numerical Weather Prediction Cloud Forecasts for Optical Communications Support
Alexandria M. Russell, Northrop Grumann Corporation, McLean, VA; and B. D. Felton and R. J. Alliss

10:00 AM-10:30 AM: Tuesday, 9 January 2018


Coffee . Break

10:30 AM-12:00 PM: Tuesday, 9 January 2018

Recording files available
Themed Joint Session 4
Machine Learning and Statistics in Data Science
Location: Room 7 (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the 25th Conference on Probability and Statistics )
Chair: Amy McGovern, Univ. of Oklahoma
10:30 AM
TJ4.1
11:00 AM
TJ4.2
Convolutional Neural Network for Rain/No-Rain Detection from Satellite Observations
Kun Zhang, Beijing Piesat Information and Technology Limited, Beijing, China; and H. Xia, H. Zhang, C. Lin, and W. Guo

11:15 AM
TJ4.3
Self-Organizing Maps for Tornadic Near-Storm Environments
Alexandra Anderson-Frey, Pennsylvania State Univ., Univ. Park, PA; and Y. P. Richardson, A. R. Dean, R. L. Thompson, and B. T. Smith
11:30 AM
TJ4.4
Improving Forecasts of Extreme Values by Machine Learning Models Using Occam's Razor
William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada
11:45 AM
TJ4.5
Spatial Structure Evaluation of Unsupervised Deep Learning for Atmospheric Data
David John Gagne II, NCAR, Boulder, CO; and S. E. Haupt and D. W. Nychka

2:00 PM-3:00 PM: Tuesday, 9 January 2018

Recording files available
Panel Discussion 1
State of Artificial Intelligence for Environmental Science Applications
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences
Moderator: Carlos F. Gaitan, Carlos Gaitan
Panelists: William W. Hsieh, Univ. of British Columbia; Vladimir Krasnopolsky, NOAA/NWS/NCEP; John K. Williams, The Weather Company, an IBM Business
2:00 PM
PD 1.1

3:00 PM-3:30 PM: Tuesday, 9 January 2018


Session 6
Preview of the Artificial and Computational Intelligence and Its Applications to the Environmental Sciences Poster Session
Location: Room 7 (ACC) (Austin, Texas)
Host: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences

3:45 PM-5:30 PM: Tuesday, 9 January 2018


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall 3 (ACC) (Austin, Texas)

Poster Session 1
Artificial and Computational Intelligence and its Applications to the Environmental Sciences Poster Session
Location: 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.
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)

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

Wednesday, 10 January 2018

8:30 AM-10:00 AM: Wednesday, 10 January 2018

Recording files available
Joint Session 36
Statistics and Artificial Intelligence
Location: Room 19AB (ACC) (Austin, Texas)
Hosts: (Joint between the 25th Conference on Probability and Statistics; and the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )
Cochairs: Matthew Peroutka, NOAA/NWS; Amy McGovern, Univ. of Oklahoma
8:30 AM
J36.1
The Weather Information Statistical Post-Processing System (WISPS): Project Update
Jason J. Levit, CIRA, Fort Collins, CO; and M. Peroutka, R. Conroy, E. Engle, and I. Stajner
8:45 AM
J36.2
9:00 AM
J36.3
Machine Learning Approaches to Reducing Tropical Cyclone Prediction Errors
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and L. M. Leslie, H. A. Ramsay, and P. J. Klotzbach
9:15 AM
J36.4
Automated Products for Forecasting Arctic Blizzard Conditions
William R. Burrows, EC, Edmonton, AB, Canada; and C. J. Mooney
9:45 AM
J36.6
An Ordered Hurdle Model for Probabilistic Low-Visibility Nowcasting to Support Decisions at Airports
Philipp Kneringer, Univ. of Innsbruck, Innsbruck, Austria; and S. J. Dietz, G. J. Mayr, and A. Zeileis
Recording files available
Joint Session 38
Artificial Intelligence and High Performance Computing for Weather Predictions
Location: Room 12B (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the Fourth Symposium on High Performance Computing for Weather, Water, and Climate )
Cochairs: David John Gagne II, NCAR; Timothy S. Sliwinski, Texas Tech Univ.
8:30 AM
J38.1
The Factors Driving the Development of Machine Learning at the UK Met Office
Vicky Pope, UKMO, Exeter, UK; and C. Ewen, A. Arribas, R. Prudden, and N. Robinson
8:45 AM
J38.2
Opportunities for Machine Learning in Weather Forecasting
Rachel Prudden, Met Office, Exeter, UK; and N. Robinson, A. Arribas, and C. Ewen
9:00 AM
J38.3
Using Deep Learning for Targeted Data Selection: Improving Satellite Observation Utilization for Model Initialization
Yu-Ju Lee, NOAA/ESRL/GSD (CIRES), Boulder, CO; and C. Bonfanti, L. Trailovic, B. J. Etherton, M. W. Govett, and J. Q. Stewart
9:15 AM
J38.4
9:30 AM
J38.5
Soil Moisture Forecasting and Hindcasting Using Deep Learning and SMAP Satellite Data
Kuai Fang, Pennsylvania State Univ., Univ. Park, PA; and C. Shen, D. Kifer, and X. Yang
9:45 AM
J38.6
Precipitation Nowcasting Leveraging Deep Learning and HPC Systems to Optimize the Data Pipeline
Alexander Douglas Heye, Cray, Inc., Seattle, WA; and J. Cain, K. Venkatesan, A. Kommaraju, C. George, and P. Brown

10:30 AM-12:00 PM: Wednesday, 10 January 2018

Recording files available
Themed Joint Session 7
Machine Learning and Climate Studies
Location: Ballroom A (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the 31st Conference on Climate Variability and Change )
Cochairs: Auroop Ganguly, Northeastern Univ.; Kerry H. Cook, Univ. of Texas; Gudrun Magnusdottir, Univ. of California
10:30 AM
TJ7.1
Deep Learning for Detecting Extreme Weather and Climate Patterns (Core Science Keynote)
William Collins, Univ. of California, Berkeley, CA; and M. Prabhat, E. Racah, Y. Liu, K. Kashinath, C. Pal, J. C. Biard, K. E. Kunkel, M. Wehner, and T. O'Brien
11:00 AM
TJ7.2
Super-Resolution and Deep Learning for Climate Downscaling
Thomas Vandal, Northeastern Univ., Cambridge, MA; and A. R. Ganguly
11:30 AM
TJ7.4
Automated Detection of Fronts Using a Deep Learning Algorithm
Kenneth E. Kunkel, Cooperative Institute for Climate and Satellites, Asheville, NC; and J. C. Biard and E. Racah
11:45 AM
TJ7.5
Computational Models for Detection and Analysis of Synoptic-Scale Ice Storm Patterns
Ranjini Swaminathan, Central Climate Science Center at Texas Tech Univ., Lubbock, TX; and K. Hayhoe

12:00 PM-1:30 PM: Wednesday, 10 January 2018


Lunch Break

1:30 PM-2:30 PM: Wednesday, 10 January 2018

Recording files available
Lecture 2
2018 Horton Lecture
Location: Room 18A (ACC) (Austin, Texas)
1:30 PM
L2.1
Rain Rates from Space: Past & Future (Invited Presentation)
Gerald R. North, Texas A&M Univ., College Station, TX
Recording files available
Joint Session 45
Health Early Warning Systems: Use of Novel Technologies and Associated Costs, Benefits, and Best Practices
Location: Room 18B (ACC) (Austin, Texas)
Hosts: (Joint between the Ninth Conference on Environment and Health; and the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )
Cochairs: Gerald J. Creager, CIMMS/Univ. of Oklahoma and NOAA/NSSL; Jeremy J. Hess, Emory Schools of Medicine and Public Health
1:30 PM
J45.2
The Heat Health Warning System in Germany: Application and Lessons Learned
Andreas Matzarakis, DWD, Freiburg, Germany; and S. Muthers

1:30 PM-3:00 PM: Wednesday, 10 January 2018

Recording files available
Joint Session 44
Applications of Artificial Intelligence in the Coastal Environment
Location: Room 12B (ACC) (Austin, Texas)
Hosts: (Joint between the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences; and the 16th Symposium on the Coastal Environment )
Cochairs: Gregory Dusek, NOAA; Philippe Tissot, Texas A&M University-Corpus Christi
1:30 PM
J44.1
Using Machine Learning to Predict Storm Longevity in Real Time
Amy McGovern, Univ. of Oklahoma, Norman, OK; and C. Karstens, D. Harrison, and T. Smith
1:45 PM
J44.2
Nearshore Wave Prediction System Model Output Statistics (NWPS MOS): Improvement of NOAA Probabilistic Rip Current Forecast Model
Jung-Sun Im, NOAA/NWS/Meteorological Development Laboratory, Silver Spring, MD; and G. Dusek, S. B. Smith, and M. E. Churma
2:00 PM
J44.3
Neural Network Surge Predictions: Design, Implementation, History, and Performance Comparison
Philipe Tissot, Texas A&M Univ., Corpus Christi, TX; and M. Buchanan and N. Durham
2:15 PM
J44.4
2:30 PM
J44.5
Unsupervised Clustering Method for Complexity Reduction of Airborne and Terrestrial 3D Point Cloud Data in Marshes
Chuyen Nguyen, Texas A&M Univ., Corpus Christi, TX; and M. J. Starek, P. Tissot, and J. Gibeaut
2:45 PM
J44.6
Self-Organizing Map Clustering of Terrestrial Lidar Data within Marshes
Xiaopeng Cai, Texas A&M Univ., Corpus Christi, TX; and C. Nguyen, P. Tissot, and M. J. Starek

Thursday, 11 January 2018

10:30 AM-11:45 AM: Thursday, 11 January 2018

Recording files available
Joint Session 52
Machine Learning Applications in the Energy Sector
Location: Room 15 (ACC) (Austin, Texas)
Hosts: (Joint between the Ninth Conference on Weather, Climate, and the New Energy Economy; and the 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences )
Cochairs: David John Gagne II, NCAR; Sue Haupt, NCAR
10:45 AM
J52.2
Development of a Thunderstorm Power Outage Prediction Model
Stephen Shield, The Ohio State Univ., Columbus, OH; and D. B. McRoberts and S. M. Quiring
11:00 AM
J52.3
Smart Grid: A Bottom-Up Approach for Consumer Demand Forecasts
Kiley L. Yeakel, The Aerospace Corporation, Chantilly, VA; and E. B. Wendoloski, C. M. Lawson, S. M. Vogel, and K. A. Roettiger
11:15 AM
J52.4
Improving the Accuracy of Cloud Detection Using Machine Learning
Mary Ellen Craddock, Northrop Grumman Corporation, McLean, VA; and R. Alliss and M. Mason
11:30 AM
J52.6
Improvements to Sodar Turbulence Intensity Measurements
Andrew Hastings Black, Vaisala, Inc., Louisville, CO