| Saturday, 10 January 2009 |
| 7:30 AM-10:00 AM, Saturday
Student Conference Badge Pick-up Only |
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| Sunday, 11 January 2009 |
| 7:30 AM-9:00 AM, Sunday
Short Course Registration |
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| 9:00 AM-6:00 PM, Sunday
Annual Meeting Registration Begins |
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| 12:00 PM-4:00 PM, Sunday, Northballroom A
Weatherfest
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| 3:00 PM-4:00 PM, Sunday, Room 130
First-Time Attendee Briefing |
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| 5:00 PM-7:00 PM, Sunday, Hall 5
Fellows Reception |
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| Monday, 12 January 2009 |
| 7:30 AM-5:30 PM, Monday
Registration Open |
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| 8:30 AM-10:15 AM, Monday, Ballroom ABC
Presidential Forum |
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| 10:15 AM-10:45 AM, Monday
Coffee Break in Meeting Room Foyer |
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| 10:45 AM-11:45 AM, Monday, Room 125A
Joint Session 1 Joint Session between the 7th Conference on Artificial Intelligence and the Meteorological Aspects of Air Pollution Committee—I |
Chairs: Michael Brown, LANL, Los Alamos, NM; Antonello Pasini, CNR, Rome Italy
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| 10:45 AM | J1.1 | Assimilating Concentration Data into Dispersion Models with a Genetic Algorithm  
Sue Ellen Haupt, Penn State Univ., University Park, PA; and K. J. Long, A. Beyer-Lout, and G. S. Young |
| 11:00 AM | J1.2 | Source Term Estimation using a Genetic Algorithm and SCIPUFF
Kerrie J. Long, Penn State University, State College, PA; and S. E. Haupt, G. Young, L. M. Rodriguez, and M. McNeal |
| 11:15 AM | J1.3 | Sheared Gaussian Coupled with Hybrid Genetic Algorithm for Source Characterization using CFD and FFT07 data
Luna M. Rodriguez, Penn State University, University Park, PA; and A. J. Annunzio, S. E. Haupt, and G. S. Young |
| 11:30 AM | J1.4 | Back trajectories for hazard origin estimation: BackHOE
George S. Young, Penn State Univ., University Park, PA; and J. Limbacher and S. E. Haupt |
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| 12:00 PM-1:30 PM, Monday
Lunch Break |
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| 1:30 PM-2:30 PM, Monday, Room 125A
Joint Session 3 Joint Session between the 7th Conference on Artificial Intelligence and the Meteorological Aspects of Air Pollution Committee—II |
Chairs: Antonello Pasini, CNR, Rome Italy; Michael Brown, LANL, Los Alamos, NM
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| 1:30 PM | J3.1 | Accounting for wind direction uncertainty in the BERT event reconstruction tool
Michael D. Williams, LANL, Los Alamos, NM; and M. J. Brown and G. E. Streit |
| 1:45 PM | J3.2 | A comparison of Bayesian and conditional density models in probabilistic ozone forecasting
Song Cai, Univ. of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. J. Cannon |
| 2:00 PM | J3.3 | Use of Neural Networks Models to Forecast Ozone pollutant in Rome Urban Area
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and F. Pungi, A. Ianni, and L. Bellina |
| 2:15 PM | J3.4 | Satellite Remote Sensing of Particulate Matter Air Quality: A Neural Network Approach
Pawan Gupta, Univ. of Alabama, Huntsville, AL; and S. A. Christopher |
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| 2:30 PM-4:00 PM, Monday, Hall 5
Formal Poster Viewing with Coffee Break
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| 2:30 PM-4:00 PM, Monday, Hall 5
Poster Session 1 Applications of Artificial Intelligence Poster Session |
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| 4:00 PM-5:30 PM, Monday, Room 125A
Session 1 Applications of Artificial Intelligence—I |
Chair: S. Lakshmivarahan, University of Oklahoma, Norman, OK
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| 4:00 PM | 1.1 | On the nonlinear relation between model parameters and forecast parameters
Caren Marzban, APL, Seattle, WA; and S. Sandgathe, D. Morison, and N. Lederer |
| 4:15 PM | 1.2 | Replacing Missing Data for Ensemble Systems
Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young |
| 4:30 PM | 1.3 | Spatiotemporal field interpolation using artificial neural networks in the Gulf of Maine
François P. Neville, University of Maine, Orono, ME |
| 4:45 PM | 1.4 | Expanding the spatial awareness of spatiotemporal relational probability trees to improve the analysis of severe thunderstorm models
David John Gagne II, University of Oklahoma, Norman, OK; and A. McGovern, N. C. Hiers, M. Collier, and R. A. Brown |
| 5:00 PM | 1.5 | Cluster analysis of kernel-based principal components
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and I. Adrianto |
| 5:15 PM | 1.6 | Comparison of random forest, artificial neural network, and multi-linear regression: a water temperature prediction case
Robyn L. Ball, Texas A&M University, Corpus Christi, TX; and P. Tissot, B. Zimmer, and B. Sterba-Boatwright |
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| 5:25 PM-5:30 PM, Monday
Sessions Adjourn for the Day |
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| 5:30 PM-7:30 PM, Monday, Hall 4
Opening of the Exhibit Hall with Reception |
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| Tuesday, 13 January 2009 |
| 8:30 AM-9:45 AM, Tuesday, Room 125A
Session 2 Applications of Artificial Intelligence—II |
Chair: John K. Williams, NCAR, Boulder, CO
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| 8:30 AM | 2.1 | A Data Mining Approach to Soil Temperature and Moisture Prediction
William Myers, NCAR, Boulder, CO; and S. Linden and G. Wiener |
| 8:45 AM | 2.2 | Arctic blizzard prediction by nonlinear statistical downscaling of GFS Reforecast model outputs
Zhen Zeng, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, W. R. Burrows, and A. Giles |
| 9:00 AM | 2.3 | Regionalization of clear-air turbulence forecasting using machine learning
Jennifer Abernethy, NCAR/RAL, Boulder, CO |
| 9:15 AM | 2.4 | Developing a global atmospheric turbulence decision support system for aviation
John K. Williams, NCAR, Boulder, CO; and R. D. Sharman and C. J. Kessinger |
| 9:30 AM | 2.5 | UAV navigation by expert system for contaminant mapping
George S. Young, Penn State Univ., University Park, PA; and Y. Kuroki and S. E. Haupt |
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| 9:45 AM-11:00 AM, Tuesday, Hall 5
Formal Poster Viewing with Coffee Break (See poster listing in Monday's program) |
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| 11:00 AM-6:00 PM, Tuesday
Exhibits Open |
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| 11:00 AM-12:00 PM, Tuesday, Room 125A
Joint Session 6 Hydrology and AI: Status and Applications–I (Joint between the Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences and the 23rd Conference on Hydrology) |
Chairs: Philippe Tissot, Texas A&M Univ., Corpus Christi, TX; Bart Nijssen, University of Arizona, Tucson, AZ
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| 11:00 AM | J6.1 | (Invited Speaker) Precipitation monitoring and streamflow flow forecasting using ANN models
Kuo-lin Hsu, Center for Hydrometeorology and Remote Sensing, Irvine, CA |
| 11:30 AM | J6.2 | A Simple Data-Driven Model for Streamflow Prediction
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK; and J. J. Gourley, Z. Flamig, and S. Giangrande |
| 11:45 AM | J6.3 | Comparison of manual and automated quality control of operational hourly precipitation data of the national weather service
Dongsoo Kim, NOAA/NESDIS/NCDC, Asheville, NC; and E. I. Tollerud, S. V. Vasiloff, and J. Caldwell |
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| 12:00 PM-1:30 PM, Tuesday
Lunch Break (Cash and Carry in Exhibit Hall)
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| 1:30 PM-3:00 PM, Tuesday, Room 125A
Joint Session 7 Hydrology and AI: Status and Applications—II (Joint between the Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences and the 23rd Conference on Hydrology) |
Chairs: Philippe Tissot, Texas A&M Univ., Corpus Christi, TX; Bart Nijssen, University of Arizona, Tucson, AZ
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| 1:30 PM | J7.1 | The added value of surface data to radar-derived rainfall rate estimation using an artificial neural network
Benjamin Root, University of Oklahoma, Norman, OK; and T. Y. Yu and M. Yeary |
| 1:45 PM | J7.2 | Winter hydrometeor classification using polarimetric radar and spatiotemporal relational probability trees
Andy L. Spencer, Rose-Hulman Institute of Technology, Terre Haute, IN; and A. McGovern, K. L. Elmore, and M. B. Richman |
| 2:00 PM | J7.3 | Time tracking of precipitation systems in observed and forecast data
Michael E. Baldwin, Purdue University, West Lafayette, IN |
| 2:15 PM | J7.4 | Northern Hemispheric Flood Fingerprints
Kathleen E. Walls, Penn State University, University Park, PA; and P. G. Knight, H. N. Shirer, and G. S. Young |
| 2:30 PM | | Discussion
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| 3:00 PM-3:30 PM, Tuesday, Hall 4
Coffee Break in Exhibit Hall |
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| 3:30 PM-5:30 PM, Tuesday, Room 125A
Session 3 Forecasting Contest |
Chair: Michael B. Richman, Univ. of Oklahoma, Norman, OK
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| 3:30 PM | 3.1 | Polarimetric Radar and validation data for the 2008 artificial intelligence competition
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman |
| 3:45 PM | 3.2 | Probabilistic hedging of the True Skill Statistic
Neil Gordon, Meteorological Service of New Zealand, Kelburn, Wellington, New Zealand; and D. Kilminster and A. Ziegler |
| 4:00 PM | 3.3 | Application of Neural Net Models to Classify and to Forecast the Observed Precipitation Type at the Ground using the Artificial Intelligence Competition Data Set
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungi |
| 4:15 PM | 3.4 | Regime Dependent Precipitation Type Forecasting
Tyler C. McCandless, Penn State University, University Park, PA |
| 4:30 PM | 3.5 | Employing stratified data mining models
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK |
| 4:45 PM | 3.6 | The effects of data issues and skill scores in creating predictive models
Matthew J. Pocernich, NCAR, Boulder, CO |
| 5:00 PM | 3.7 | Ensemble classifier for winter storm precipitation in polarimetric radar data
Emmanuel Goossaert, University of Oklahoma, Norman, OK; and R. Alam |
| 5:15 PM | 3.8 | Comparison of support vector machines and minimax probability machines for precipitation prediction
Stephen Sullivan, UCAR, Boulder, CO |
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| 5:25 PM-5:30 PM, Tuesday
Sessions Adjourn for the Day |
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| Wednesday, 14 January 2009 |
| 8:30 AM-10:00 AM, Wednesday, Room 125A
Joint Session 2 Applications of artificial learning techniques in climate variability, especially as it relates to the urban environment (Joint between the 21st Conference on Climate Variability and Change and the Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences) |
Cochairs: William W. Hsieh, Univ. of British Columbia, Vancouver, BC Canada; Sue Ellen Haupt, Penn State Univ., University Park, PA
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| 8:30 AM | J2.1 | (Invited Speaker) Using Neural Networks in Numerical Climate and Weather Forecast Systems
Vladimir M. Krasnopolsky, NCEP/NWS/NOAA (SAIC), Camp Springs, MD |
| 8:45 AM | J2.2 | Fast neural network emulations of long wave radiation for the NCEP Climate Forecast System Model: seasonal prediction and climate simulation
Vladimir M. Krasnopolsky, NCEP/NWS/NOAA (SAIC), Camp Springs, MD; and M. S. Fox-Rabinovitz, S. J. Lord, Y. T. Hou, and A. A. Belochitski |
| 9:00 AM | J2.3 | Major Influences of Circulation Patterns on Temperatures in the Italian Side of the Greater Alpine Region: an Investigation via Neural Network Modeling
Antonello Pasini, CNR, Rome, Italy; and R. Langone |
| 9:15 AM | J2.4 | Statistical seasonal prediction of extreme precipitation in winter over Canada
Zhen Zeng, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh and A. Shabbar |
| 9:30 AM | J2.5 | Post-processing GCM forecasts of seasonal extreme climate using machine learning methods
Joel Finnis, University of British Columbia, Vancouver, BC, Canada; and W. W. Hsieh, Z. Zeng, A. Shabbar, W. Merryfield, and H. Lin |
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| 10:00 AM-10:30 AM, Wednesday
Coffee Break in Meeting Room Foyer |
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| 11:00 AM-6:00 PM, Wednesday
Exhibits Open |
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| 12:00 PM-1:30 PM, Wednesday
Lunch Break (Cash and Carry in Exhibit Hall) |
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| 2:30 PM-4:00 PM, Wednesday, Hall 5
Formal Poster Viewing with Coffee Break |
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| 5:25 PM-5:30 PM, Wednesday
Sessions Adjourn for the Day |
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| 5:30 PM-6:30 PM, Wednesday, Hall 4
Reception in Exhibit Hall (Cash Bar) |
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| 7:00 PM-9:00 PM, Wednesday, Northballroom
AMS Annual Awards Banquet |
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| Thursday, 15 January 2009 |
| 5:15 PM-5:20 PM, Thursday
AMS 89th Annual Meeting Adjourns |
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