8th Conference on Artificial Intelligence Applications to Environmental Science

Program Chair: John K. Williams , NCAR

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Sunday, 17 January 2010

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7:30 AM-9:00 AM: Sunday, 17 January 2010


Short Course Registration

9:00 AM-6:00 PM: Sunday, 17 January 2010


Annual Meeting Registration Begins

12:00 PM-4:00 PM: Sunday, 17 January 2010


Weatherfest

3:00 PM-4:00 PM: Sunday, 17 January 2010


First-Time Attendee Briefing
Location: B314 (GWCC)

5:00 PM-6:00 PM: Sunday, 17 January 2010


Annual Meeting Review and Fellows Awards
Location: B314 (GWCC)

6:00 PM-7:00 PM: Sunday, 17 January 2010


Fellows Reception
Location: Exhibit Hall B2 (GWCC)

Monday, 18 January 2010

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7:30 AM-5:30 PM: Monday, 18 January 2010


Registration Open

9:00 AM-10:30 AM: Monday, 18 January 2010


Presidential Forum
Location: Thomas Murphy Ballroom 1 and 2 (GWCC)

10:30 AM-11:00 AM: Monday, 18 January 2010


Coffee Break in Meeting Room Foyer

12:00 PM-1:30 PM: Monday, 18 January 2010


Lunch Break

2:30 PM-4:00 PM: Monday, 18 January 2010


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall B2 (GWCC)

5:30 PM-7:30 PM: Monday, 18 January 2010


Opening of the Exhibit Hall with Reception
Location: Exhibit Hall B1 (GWCC)

Tuesday, 19 January 2010

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9:45 AM-11:00 AM: Tuesday, 19 January 2010


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall B2 (GWCC)

11:00 AM-6:00 PM: Tuesday, 19 January 2010


Exhibits Open
Location: Exhibit Hall B1 (GWCC)

12:00 PM-1:30 PM: Tuesday, 19 January 2010


Kuettner Symposium Luncheon
Location: B208 (GWCC)
  12:00 PM
B1.1
Joach Kuettner—A Man in Love with the Sky
Einar Enevoldson, The Perlan Project, Emeryville, CA


Lunch Break (Cash and Carry in Exhibit Hall)

1:30 PM-3:00 PM: Tuesday, 19 January 2010

Recording files available
Session 1
Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part I
Location: B204 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
Chair: Michael Richman, CIMMS/Univ. of Oklahoma
  1:30 PM
1.1
Development of neural network convection parameterizations for climate models using CRM simulations and ARM data
Vladimir M. Krasnopolsky, IMSG at NCEP/NWS/NOAA, Camp Springs, MD; and M. S. Fox-Rabinovitz, P. Rasch, Y. Kogan, and A. Belochitski

  2:00 PM
1.2
Data assimilation through machine learning methods
Robin C. Gilbert, University of Oklahoma, Norman, OK; and M. Richman, L. M. Leslie, and X. Wang
Recorded presentation

  2:15 PM
1.3
Linear and nonlinear postprocessing of ensemble forecasts
Ranran Wang, University of Washington, Seattle, WA; and C. Marzban
Recorded presentation

Presentation PDF (335.3 kB)

  2:30 PM
1.4
Improving snowfall accumulation predictions by post-processing ensemble forecasts with an Artificial Neural Network
Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young
Recorded presentation

Presentation PDF (267.8 kB)

  2:45 PM
1.5
Optimization of neural network performances by means of exogenous input variables for the forecast of ozone pollutant in Rome urban area
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and F. Pungi, S. Lucidi, and V. La Torre
Recorded presentation

Presentation PDF (243.2 kB)

3:00 PM-3:30 PM: Tuesday, 19 January 2010


Coffee Break in Exhibit Hall
Location: Exhibit Hall B1 (GWCC)

3:30 PM-5:30 PM: Tuesday, 19 January 2010

Recording files available
Joint Session 1
Applications of Artificial Intelligence Techniques to Air Pollution Problems
Location: B308 (GWCC)
Hosts: (Joint between the 16th Conference on Air Pollution Meteorology; and the 8th Conference on Artificial Intelligence Applications to Environmental Science )
Cochairs: Sue Ellen Haupt, Penn State Univ.; Michael J. Brown, LANL
  3:30 PM
J1.1
Evaluation of sensor placement techniques
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and I. Bush
Recorded presentation

Presentation PDF (1.8 MB)

  3:45 PM
J1.2
Comparative investigation of source term estimation algorithms using FUSION field trial 2007 data
Nathan Platt, Institute for Defense Analyses, Alexandria, VA; and D. Deriggi
Recorded presentation

Presentation PDF (1.0 MB)

  4:00 PM
J1.3
Using regression-based source detection algorithm for source location with FFT-07 data
Randolph J. Evans, ENSCO, Inc., Melbourne, FL; and S. E. Masters and M. A. Kienzle
Recorded presentation

  4:15 PM
J1.4
Source Term Characterization of FFT07 Data using a Genetic Algorithm
Luna M. Rodriguez, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, A. J. Annunzio, and K. J. Schmehl
Recorded presentation

Presentation PDF (618.8 kB)

  4:30 PM
J1.5
Combined Methods from Entity and Field Frameworks to Determine the Source Characteristics of a Contaminant
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and L. M. Rodriguez
Recorded presentation

Presentation PDF (596.3 kB)

  4:45 PM
J1.6
A forensic approach to source location applied to FFT-07 data
Shawn Rottmann, ENSCO, Melbourne, FL; and A. Siegel
Recorded presentation

  5:00 PM
J1.7
Machine Learning for the Source Detection of Atmospheric Emissions
Guido Cervone, George Mason University, Fairfax, VA; and P. Franzese

Presentation PDF (105.6 kB)

  5:15 PM
J1.8
Real-time fusion of sensor data to achieve improved situational awareness
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and M. Bull and L. Carrivick
Recorded presentation

Presentation PDF (1.0 MB)

Wednesday, 20 January 2010

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8:30 AM-10:00 AM: Wednesday, 20 January 2010

Recording files available
Session 2
Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part II
Location: B204 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
Chair: Philippe E. Tissot, Texas A&M University-Corpus Christi
  8:30 AM
2.1
Optimization of neural net training using patterns selected by cluster analysis: a case-study of ozone prediction level
Armando Pelliccioni Sr., ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungė
Recorded presentation

Presentation PDF (1.3 MB)

  8:45 AM
2.2
Visualize, analyze and mine satellite imagery using GLIDER software tool
Rahul Ramachandran, Univ. of Alabama, Huntsville, AL; and S. Graves, T. Berendes, M. Maskey, C. Chidambaram, S. A. Christopher, P. Hogan, T. Gaskins, and M. Smith
Recorded presentation

  9:00 AM
2.3
Design and validation of a neural network system for forecasting and monitoring fog events in the UAE using SEVIRI-MSG data
Abdulla Bushahab, Emirates Institution for Advanced Science & Technology, Dubai, United Arab Emirates; and H. Ghedira, K. Mubarak, A. Dawood, and H. Al Ahmad

  9:15 AM
2.4
Prediction of skew surge by a fuzzy decision tree
Samantha J. Royston, University of Bristol / Proudman Oceanographic Laboratory, Liverpool, Merseyside, United Kingdom; and K. Horsburgh and J. Lawry
Recorded presentation

Presentation PDF (1.1 MB)

  9:30 AM
2.5
Analyzing the effects of low level boundaries on tornadogenesis through spatiotemporal relational data mining
David John Gagne II, University of Oklahoma, Norman, OK; and T. A. Supinie, A. McGovern, J. B. Basara, and R. A. Brown
Recorded presentation

Presentation PDF (341.6 kB)

  9:45 AM
2.6
Capturing relationships between coherent structures and convectively-induced turbulence using Spatiotemporal Relational Random Forests
Jennifer Abernethy, NCAR/RAL, Boulder, CO; and T. A. Supinie, A. McGovern, and J. K. Williams
Recorded presentation

10:00 AM-10:30 AM: Wednesday, 20 January 2010


Coffee Break in Meeting Room Foyer

10:30 AM-12:00 PM: Wednesday, 20 January 2010

Recording files available
Session 3
Third Annual AMS Artificial Intelligence Forecasting Contest: Methods and Results
Location: B204 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
Chair: Matthew J. Pocernich, NCAR
  10:30 AM
3.1
The Third Annual Artificial Intelligence Forecasting Competition
Stephen Sullivan, UCAR, Boulder, CO; and M. J. Pocernich and J. Abernethy
Recorded presentation

Presentation PDF (68.7 kB)

  10:45 AM
3.2
Probabilistic Turbulence Prediction using Random Forests
Zhengzheng Li, The University of Oklahoma, Norman, OK; and T. A. Supinie
Recorded presentation

Presentation PDF (128.5 kB)

  11:00 AM
3.3
Predicting Turbulence Using a Neural Network
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
Recorded presentation

Presentation PDF (89.6 kB)

  11:15 AM
3.4
Turbulence Probability using Principal Component Analysis and Support Vector Machine Approaches
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. Richman
Recorded presentation

Presentation PDF (66.3 kB)

  11:30 AM
3.5
Statistical Turbulence Prediction
Walter C. Kolczynski Jr., Penn State University, University Park, PA; and S. E. Haupt
Recorded presentation

Presentation PDF (294.8 kB)

11:00 AM-6:30 PM: Wednesday, 20 January 2010


Exhibits Open

12:00 PM-1:30 PM: Wednesday, 20 January 2010


Lunch Break (Cash and Carry in Exhibit Hall)

2:30 PM-4:00 PM: Wednesday, 20 January 2010


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall B2 (GWCC)

Poster Session
Applications of Artificial Intelligence Methods to Problems in Environmental Science
Location: Exhibit Hall B2 (GWCC)
Host: 8th Conference on Artificial Intelligence Applications to Environmental Science
 
453
Ranking severe weather outbreaks using a multivariate index
Chad M. Shafer, University of Oklahoma, Norman, OK ; and C. A. Doswell III

 
454
Using support vector machines to predict the type and relative severity of severe weather outbreaks
Chad M. Shafer, University of Oklahoma, Norman, OK ; and M. Richman, L. M. Leslie, and C. A. Doswell III

 
455
Using a K-Means clustering and watershed segmentation algorithm to automatically classify convective storm types
Angelyn G. Kolodziej, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and V. Lakshmanan


Joint Poster Session
Applications of Artificial Intelligence Techniques to Air Pollution Problems
Location: Exhibit Hall B2 (GWCC)
Hosts: (Joint between the 16th Conference on Air Pollution Meteorology; and the 8th Conference on Artificial Intelligence Applications to Environmental Science )
 
452
Determining Turbulence Scaling Variables and Source Characteristics from Contaminant Concentration Data
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt and G. Young

Handout (302.1 kB)

4:00 PM-5:45 PM: Wednesday, 20 January 2010

Recording files available
Joint Session 11
Probabilistic Forecasting for the Next Generation Air Transportation System (NextGen)
Location: B204 (GWCC)
Hosts: (Joint between the 8th Conference on Artificial Intelligence Applications to Environmental Science; the 20th Conference on Probability and Statistics in the Atmospheric Sciences; the 14th Conference on Aviation, Range, and Aerospace Meteorology; and the Presidential Forum )
Cochairs: John K. Williams, NCAR; John J. Murray, NASA Langley Research Center; Jun Du, NOAA/NWS/NCEP
  4:00 PM
J11.1
A proposed framework for estimating and reducing hourly-updated forecast uncertainty products for aviation applications in NextGen
Stan Benjamin, NOAA/ESRL/GSD, Boulder, CO; and G. DiMego
Recorded presentation

  4:15 PM
J11.2
Advances in the Collaborative Storm Prediction for Aviation (CoSPA)
James O. Pinto, NCAR/RAL, Boulder, CO; and J. K. Williams, M. Steiner, D. Albo, S. Dettling, W. Dupree, D. Morse, H. Iskenderian, T. Xiaofeng, M. Wolfson, C. Reiche, S. Weygandt, S. Benjamin, and C. Alexander
Recorded presentation

Presentation PDF (1.9 MB)

  4:30 PM
J11.3
Probabilistic forecasting of ceiling and visibility at CONUS terminals: Development progress
Paul H. Herzegh, NCAR, Boulder, CO; and B. Lambi, J. Cowie, G. Wiener, R. Bateman, and J. Black
Recorded presentation

  4:45 PM
J11.4
Using a genetic algorithm to estimate source term parameters of volcanic ash clouds
Kerrie J. Schmehl, Penn State University, State College, PA; and D. Truesdell and S. E. Haupt
Recorded presentation

Presentation PDF (330.3 kB)

  5:00 PM
J11.5
Techniques for providing probabilistic forecasts of turbulence for NextGen
Matthew J. Pocernich, NCAR, Boulder, CO; and R. D. Sharman and J. K. Williams
Recorded presentation

  5:15 PM
J11.6
Regionalized probabilistic turbulence forecasting using machine learning with in-situ data
Jennifer Abernethy, NCAR/RAL, Boulder, CO; and R. D. Sharman and J. K. Williams
Recorded presentation

  5:30 PM
J11.7
A probabilistic global turbulence nowcast and forecast system
John K. Williams, NCAR, Boulder, CO; and C. Kessinger, R. D. Sharman, W. F. Feltz, and A. Wimmers
Recorded presentation

5:30 PM-6:30 PM: Wednesday, 20 January 2010


Reception in Exhibit Hall (Cash Bar)
Location: Exhibit Hall B1 (GWCC)

7:00 PM-9:00 PM: Wednesday, 20 January 2010


AMS Annual Awards Banquet
Location: Thomas Murphy Ballroom 1-4 (GWCC)

Thursday, 21 January 2010

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7:30 AM-8:30 AM: Thursday, 21 January 2010


Washington Symposium Breakfast
Location: B208 (GWCC)

9:45 AM-11:00 AM: Thursday, 21 January 2010


Formal Poster Viewing with Coffee Break
Location: Exhibit Hall B2 (GWCC)

9:45 AM-1:30 PM: Thursday, 21 January 2010


Exhibits Open

11:00 AM-12:15 PM: Thursday, 21 January 2010

Recording files available
Joint Session 10
Verification of Probabilistic Forecasts
Location: B305 (GWCC)
Hosts: (Joint between the 20th Conference on Probability and Statistics in the Atmospheric Sciences; the 14th Conference on Aviation, Range, and Aerospace Meteorology; and the 8th Conference on Artificial Intelligence Applications to Environmental Science )
Cochairs: Bjarne Hansen, EC; Barbara G. Brown, NCAR; Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL
 
J10.1
The three dimensions of prediction and service

  11:00 AM
J10.1A
A comparison between raw ensemble output, Bayesian model averaging and logistic regression using ECMWF ensemble precipitation reforecasts
Maurice J. Schmeits, KNMI, De Bilt, Netherlands; and C. J. Kok

  11:30 AM
J10.2
Determining Optimal Thresholds for Inland Locations of Tropical Cyclone Incremental Wind Speed Probabilities to Support the Provision of Expressions of Uncertainty within Text Forecast Products
Pablo Santos, NOAA/NWS, Miami, FL; and M. DeMaria and D. W. Sharp
Recorded presentation

Presentation PDF (711.9 kB)

  11:45 AM
J10.3
Verification of aviation turbulence detection, nowcast, and forecast products
John K. Williams, NCAR, Boulder, CO; and M. J. Pocernich, R. D. Sharman, and J. Abernethy
Recorded presentation

  12:00 PM
J10.4
Evaluation of a probabilistic convective nowcast for CoSPA
D. Ahijevych, NCAR, Boulder, CO; and J. Williams, S. Dettling, H. Cai, and M. Steiner
Recorded presentation

Presentation PDF (739.1 kB)

  12:15 PM
J10.5
Choosing a scoring rule for verification of forecast probability distributions: Continuous ranked probability score or ignorance score?
Jonathan R. Moskaitis, Naval Research Laboratory, Monterey, CA
Recorded presentation

3:00 PM-3:30 PM: Thursday, 21 January 2010


Coffee Break in Meeting Room Foyer

5:00 PM-5:05 PM: Thursday, 21 January 2010


AMS 90th Annual Meeting Adjourns
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