Program: 17th Conf on Artificial and Computational Intelligence and its Applications to the Environmental Sciences (98th American Meteorological Society Annual Meeting)

Program Chair: Philippe Tissot , Texas A&M University−Corpus Christi

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

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Sunday, 7 January 2018

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

Plenary Session 1

18th Presidential Forum: Transforming Communication in the Weather, Water, and Climate Enterprise—Focusing on Challenges Facing Our Sciences

Location: Ballroom D (ACC) (Austin, Texas)

4:00 PM

PL1.1

Transforming Communication in the Environmental Sciences: Some Thoughts from a Reluctant Participant (Invited Presentation)

Richard B. Alley, Pennsylvania State Univ., University Park, PA

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

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, University of Oklahoma, Norman, OK; and E. Jergensen, C. Karstens, H. Obermeier, and T. Smith

Recorded Presentation

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

Recorded Presentation

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

Atmospheric Chemistry Modeling and Air Quality Forecasting Using a Regression Forest Model

Christoph A. Keller, NASA GMAO/USRA, Greenbelt, MD; and M. Evans

Recorded Presentation

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

Recorded Presentation

Handout (2.1 MB)

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

Coffee Break

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

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

Recorded Presentation

Handout (20.7 MB)

10:45 AM

2.2

Computational Linguistics and the Communication of Weather Forecasts

Harvey Stern, Univ. of Melbourne, Melbourne, Australia

Recorded Presentation Manuscript (248.1 kB)

Handout (255.8 kB)

2.3

Hail Swath Location Correction through Convolutional Neural Networks

11:15 AM

2.4

Predicting 12-hour Storm Reports Using Random Forest Classification

David Harrison, CIMMS/Univ. of Oklahoma/NOAA/SPC, Norman, OK; and J. W. Rogers

Recorded Presentation

11:30 AM

2.5

Assessing Uncertainty in Deep Learning Techniques that Identify Atmospheric Rivers in Climate Simulations

Ankur Mahesh, LBNL, Berkeley, CA; and T. A. O'Brien, M. Prabhat, and W. Collins

Recorded Presentation

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

Recorded Presentation

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

Lunch Break

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

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

L1.1

Some Observations of Normal Modes in the Atmosphere (Invited Presentation)

George N. Kiladis, ESRL, Boulder, CO

Recorded Presentation

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

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, CIMMS, Norman, OK; and A. McGovern, M. B. Richman, and T. Smith

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

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

Conditional Generative Adversarial Neural Networks for Radar Noise Postprocessing

Sarvesh Garimella, ACME AtronOmatic, LLC, Portland, OR

Recorded Presentation

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

Recorded Presentation

Handout (31.4 MB)

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

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, University 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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

Coffee . Break

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

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, University of Oklahoma

10:30 AM

TJ4.1

Machine Learning and Statistics: The Yin and Yang of Data Science (Core Science Keynote)

William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada

Recorded Presentation

11:00 AM

TJ4.2

Convolutional Neural Network for Rain/No-Rain Detection from Satellite Observations

Kun Zhang, Beijing Presky Co., Ltd., 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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

Handout (15.4 MB)

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

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

State of Artificial Intelligence for Environmental Science Applications

Carlos F. Gaitan, Arable Labs, Inc., Princeton, NJ

Recorded Presentation

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)

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

Manuscript (492.8 kB)

Wednesday, 10 January 2018

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

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, University 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

Recorded Presentation

8:45 AM

J36.2

Probabilistic Forecasting of High-Shear, Low-CAPE Severe Environments in the Southeastern United States

Dianna M. Francisco, North Carolina State Univ., Raleigh, NC; and L. Xie

Recorded Presentation

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

Recorded Presentation

9:15 AM

J36.4

Automated Products for Forecasting Arctic Blizzard Conditions

William R. Burrows, EC, Edmonton, AB, Canada; and C. J. Mooney

Recorded Presentation

9:30 AM

J36.5

A Hierarchical Multivariate Bayesian Approach to Ensemble Model Output Statistics in Atmospheric Prediction

Robert D. T. Wendt, NPS, Monterey, CA; and W. Nuss

Recorded Presentation

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

Recorded Presentation

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 University

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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

9:15 AM

J38.4

Improving Satellite Observation Utilization for Model Initialization with Machine Learning: An Introduction and Tackling the “Labeled Dataset” Challenge for Cyclones around the World

Christina Bonfanti, NOAA/ESRL and CIRES, Boulder, CO; and Y. J. Lee, J. Q. Stewart, M. W. Govett, B. J. Etherton, and L. Trailovic

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

Handout (2.6 MB)

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

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 University; Kerry H. Cook, The Univ. of Texas at Austin; 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

Recorded Presentation

11:00 AM

TJ7.2

Super-Resolution and Deep Learning for Climate Downscaling

Thomas Vandal, Northeastern Univ., Cambridge, MA; and A. R. Ganguly

Recorded Presentation

TJ7.3

Machine Learning Models for Climate Data

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

Recorded Presentation

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

Recorded Presentation

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

Lunch Break

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

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

Recorded Presentation

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/University 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

1:45 PM

J45.1

Using Nonlinear Autoregressive Models with Exogenous Input to Analyze Temperature-Related Human Mortality

Cameron C. Lee, Kent State Univ., Kent, OH; and S. C. Sheridan

Recorded Presentation

2:00 PM

J45.3

Development of a Wet-Bulb Globe Temperature Approximation Equation from Standard Meteorological Variables and Implementation of an Automated Site Specific Heat Stress Condition Display at the Eglin Test and Training Complex

David G. Biggar, 96th Weather Squadron, Eglin Air Force Base, FL; and P. B. Homan, T. A. Russ, K. D. Burris, and M. D. Scott

Recorded Presentation Manuscript (108.2 kB)

Handout (925.7 kB)

2:15 PM

J45.4

Excessive Heat Events and Health: Building Resilience Based on Subseasonal-to-Seasonal Excessive Heat Outlook Systems

Augustin Vintzileos, University of Maryland, College Park, College Park, MD

Recorded Presentation

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

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, University of Oklahoma, Norman, OK; and C. Karstens, D. Harrison, and T. Smith

Recorded Presentation

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

Recorded Presentation

Handout (2.9 MB)

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

Recorded Presentation

2:15 PM

J44.4

Space−Time Cube and Cluster Representation of Evolving Landforms at Local and Regional Scales Using Lidar Time Series Data

Michael J. Starek, Texas A&M University−Corpus Christi, Corpus Christi, TX; and P. Tissot and C. Nguyen

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

Thursday, 11 January 2018

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

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

10:30 AM

J52.1

Impact of Targeted Measurements and Advanced Machine Learning Techniques on 0−3-h Ahead Rapid Update Wind Power and Ramp Rate Forecasts in the Tehachapi Wind Resource Area of California

Steven H. Young, UL, Albany, NY; and J. Zack

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

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

Recorded Presentation

11:30 AM

J52.6

Improvements to Sodar Turbulence Intensity Measurements

Andrew Hastings Black, Vaisala, Inc., Louisville, CO

Recorded Presentation

J52.5

Regime-Based Forecast Corrections Using Support Vector Machines

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Sunday, 7 January 2018

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

PL 1

Plenary Session 18th Presidential Forum: Transforming Communication in the Weather, Water, and Climate Enterprise—Focusing on Challenges Facing Our Sciences

Location: Ballroom D (ACC) (Austin, Texas)

Monday, 8 January 2018

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

PL 2

Plenary Session Welcoming Address

Location: Austin, Texas

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

AI Techniques Applied to Environmental Science: Part I

Location: Room 7 (ACC) (Austin, Texas)

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

Coffee Break

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

AI Techniques for Environmental Science and Extreme Weather

Location: Room 7 (ACC) (Austin, Texas)

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

Lunch Break

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

L 1

Lecture 2018 Haurwitz Lecture

Location: Salon K (Hilton) (Austin, Texas)

2018 Haurwitz Lecture

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

AI Techniques for Decision Support

Location: Room 7 (ACC) (Austin, Texas)

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

AI Applications to the Environment in Private Companies and Public−Private Partnerships

Location: Room 7 (ACC) (Austin, Texas)

With the rapid development of AI techniques in meteorological and environmental disciplines, a significant amount of research is occurring in the private sector, and in collaborations between companies and academia. This session will focus on AI applications in private companies and public−private partnerships, showcasing new approaches and implementations that leverage AI to help solve complex problems.

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)

The Robert T. Ryan Symposium will conclude with a cocktail reception welcoming symposium attendees, along with Bob's numerous colleagues and former interns from across the weather enterprise. With a short program hosted by symposium co-chair and AMS Fellow Veronica Johnson of WJLA in Washington, D.C., this casual event will honor Bob for his distinguished career, achievements, and contributions to the American Meteorological Society.

Tuesday, 9 January 2018

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

AI Techniques for Numerical Weather Predictions

Location: Room 7 (ACC) (Austin, Texas)

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

Coffee . Break

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

TJ 4

Themed Joint Session Machine Learning and Statistics in Data Science

Location: Room 7 (ACC) (Austin, Texas)

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

PD 1

Panel Discussion State of Artificial Intelligence for Environmental Science Applications

Location: Room 7 (ACC) (Austin, Texas)

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

Preview of the Artificial and Computational Intelligence and Its Applications to the Environmental Sciences Poster Session

Location: Room 7 (ACC) (Austin, Texas)

17AI poster presenters are invited to briefly introduce their work and answer a few questions as a preview of the late Tuesday afternoon 17AI poster session.

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

Formal Poster Viewing with Coffee Break

Location: Exhibit Hall 3 (ACC) (Austin, Texas)

We encourage all attendees to take the opportunity to grab a snack and coffee and spend this extended afternoon break networking with colleagues and viewing the hundreds of posters on display in the poster hall. Poster displays are grouped by conference and change each day.

P 1

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

Location: Exhibit Hall 3 (ACC) (Austin, Texas)

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

Wednesday, 10 January 2018

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

J 36

Joint Session Statistics and Artificial Intelligence

Location: Room 19AB (ACC) (Austin, Texas)

J 38

Joint Session Artificial Intelligence and High Performance Computing for Weather Predictions

Location: Room 12B (ACC) (Austin, Texas)

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

TJ 7

Themed Joint Session Machine Learning and Climate Studies

Location: Ballroom A (ACC) (Austin, Texas)

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

Lunch Break

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

L 2

Lecture 2018 Horton Lecture

Location: Room 18A (ACC) (Austin, Texas)

J 45

Joint Session Health Early Warning Systems: Use of Novel Technologies and Associated Costs, Benefits, and Best Practices

Location: Room 18B (ACC) (Austin, Texas)

Health early warning systems are changing. The scope of hazards is widening, data from an increasing range of sources are being incorporated, time scales are lengthening, and warning system skills are increasing. There is an increasing need to share information across disciplines and sectors about how systems are developed, implemented, and improved over time; about their costs and benefits; and regarding best practices in modeling, implementation, and communications. Presentations describing early warning system innovations are encouraged, as well as those addressing questions of early warning systems best practices, implementation indicators, costs and benefits, inclusion of novel data streams, and intersectoral partnerships. Systems need not focus directly on health impacts but can instead focus on warning of hazards that pose risks to health.

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

J 44

Joint Session Applications of Artificial Intelligence in the Coastal Environment

Location: Room 12B (ACC) (Austin, Texas)

Contributions to this session are sought in the application of AI techniques to study coastal problems including coastal hydrodynamics, beach and marsh morphology, applications of remote sensing observations, and other large data sets.

Thursday, 11 January 2018

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

J 52

Joint Session Machine Learning Applications in the Energy Sector

Location: Room 15 (ACC) (Austin, Texas)

» Expand View

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

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

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

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

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

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

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

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

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

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

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

Tuesday, 9 January 2018

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

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

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

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

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

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

Wednesday, 10 January 2018

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

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

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

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

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

Thursday, 11 January 2018

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

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

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

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

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

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

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

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

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

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

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

Tuesday, 9 January 2018

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

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

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

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

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

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

Wednesday, 10 January 2018

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

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

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

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

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

Thursday, 11 January 2018

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