Program: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences (89th American Meteorological Society Annual Meeting )

Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Program Chair: Sue Ellen Haupt , Penn State Univ.

« Collapse View

- Indicates paper has been withdrawn from meeting

Saturday, 10 January 2009

7:30 AM-10:00 AM: Saturday, 10 January 2009

Student Conference Badge Pick-up Only

Sunday, 11 January 2009

7:30 AM-9:00 AM: Sunday, 11 January 2009

Short Course Registration

9:00 AM-6:00 PM: Sunday, 11 January 2009

Annual Meeting Registration Begins

12:00 PM-4:00 PM: Sunday, 11 January 2009

Weatherfest

Location: Northballroom A (Phoenix Convention Center)

3:00 PM-4:00 PM: Sunday, 11 January 2009

First-Time Attendee Briefing

Location: Room 130 (Phoenix Convention Center)

5:00 PM-7:00 PM: Sunday, 11 January 2009

Fellows Reception

Location: Hall 5 (Phoenix Convention Center)

Monday, 12 January 2009

7:30 AM-5:30 PM: Monday, 12 January 2009

Registration Open

8:30 AM-10:15 AM: Monday, 12 January 2009

Presidential Forum

Location: Ballroom ABC (Phoenix Convention Center)

10:15 AM-10:45 AM: Monday, 12 January 2009

Coffee Break in Meeting Room Foyer

Location: Phoenix Convention Center

10:45 AM-11:45 AM: Monday, 12 January 2009

Joint Session 1

Joint Session between the 7th Conference on Artificial Intelligence and the Meteorological Aspects of Air Pollution Committee—I

Location: Room 125A (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Chairs: Michael Brown, LANL; Antonello Pasini, CNR

Papers:

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

Recorded presentation Poster PDF (669.2 kB)

11:00 AM

J1.2

Source Term Estimation using a Genetic Algorithm and SCIPUFF

Kerrie J. Schmehl, Penn State University, State College, PA; and S. E. Haupt, G. Young, L. M. Rodriguez, and M. McNeal III

Recorded presentation Poster PDF (249.4 kB)

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

Recorded presentation Poster PDF (226.8 kB)

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

Recorded presentation Poster PDF (267.9 kB)

12:00 PM-1:30 PM: Monday, 12 January 2009

Lunch Break

1:30 PM-2:30 PM: Monday, 12 January 2009

Joint Session 3

Joint Session between the 7th Conference on Artificial Intelligence and the Meteorological Aspects of Air Pollution Committee—II

Location: Room 125A (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Chairs: Antonello Pasini, CNR; Michael Brown, LANL

Papers:

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

Recorded presentation

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

Recorded presentation

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

Recorded presentation Poster PDF (585.4 kB)

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

Recorded presentation

2:30 PM-4:00 PM: Monday, 12 January 2009

Poster Session 1

Applications of Artificial Intelligence Poster Session

Location: Hall 5 (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Papers:

P1.1

Forecasting of the winds along the glide paths at an airport by applying a chaotic oscillatory neural network (CONN) to the Doppler LIDAR data

K.M. Kwong, Hong Kong Polytechnic University, Hong Kong, , China; and P. W. Chan

Poster PDF (2.3 MB)

P1.2

A COMPUTER VISION SYSTEM TO ANALYSE LIGHTNING FLASHES IMAGES

Rosangela B. B. Gin, Centro Universitario da FEI, Sao Bernardo do Campo, Sao Paulo, Brazil; and R. A.C. Bianchi and B. H.A. Pilon

http://...

Poster PDF (159.4 kB)

Formal Poster Viewing with Coffee Break

Location: Hall 5 (Phoenix Convention Center)

4:00 PM-5:30 PM: Monday, 12 January 2009

Applications of Artificial Intelligence—I

Location: Room 125A (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Chair: S. Lakshmivarahan, University of Oklahoma

Papers:

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

Recorded presentation

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

Recorded presentation Poster PDF (290.0 kB)

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

Recorded presentation

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

Recorded presentation

5:00 PM

1.5

Cluster analysis of kernel-based principal components

Michael B. Richman, Univ. of Oklahoma, Norman, OK; and I. Adrianto

Recorded presentation

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

Recorded presentation

5:25 PM-5:30 PM: Monday, 12 January 2009

Sessions Adjourn for the Day

5:30 PM-7:30 PM: Monday, 12 January 2009

Opening of the Exhibit Hall with Reception

Location: Hall 4 (Phoenix Convention Center)

Tuesday, 13 January 2009

8:30 AM-9:45 AM: Tuesday, 13 January 2009

Applications of Artificial Intelligence—II

Location: Room 125A (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Chair: John K. Williams, NCAR

Papers:

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

Recorded presentation Poster PDF (41.6 kB)

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

Recorded presentation

9:00 AM

2.3

Regionalization of clear-air turbulence forecasting using machine learning

Jennifer Abernethy, NCAR/RAL, Boulder, CO

Poster PDF (466.0 kB)

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

Recorded presentation Poster PDF (1.3 MB)

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

Recorded presentation Poster PDF (466.0 kB)

9:45 AM-11:00 AM: Tuesday, 13 January 2009

Formal Poster Viewing with Coffee Break (See poster listing in Monday's program)

Location: Hall 5 (Phoenix Convention Center)

11:00 AM-12:00 PM: Tuesday, 13 January 2009

Joint Session 6

Hydrology and AI: Status and Applications–I

Location: Room 125A (Phoenix Convention Center)

Sponsors: (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.; Bart Nijssen, University of Arizona

Papers:

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

Recorded presentation

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

Recorded presentation Poster PDF (213.4 kB)

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

Recorded presentation Poster PDF (270.0 kB)

11:00 AM-6:00 PM: Tuesday, 13 January 2009

Exhibits Open

12:00 PM-1:30 PM: Tuesday, 13 January 2009

Lunch Break (Cash and Carry in Exhibit Hall)

1:30 PM-3:00 PM: Tuesday, 13 January 2009

Joint Session 7

Hydrology and AI: Status and Applications—II

Location: Room 125A (Phoenix Convention Center)

Sponsors: (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.; Bart Nijssen, University of Arizona

Papers:

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

Recorded presentation Poster PDF (160.0 kB)

1:45 PM

J7.2

Winter hydrometeor classification using polarimetric radar and spatiotemporal relational probability trees

Andy L. Spencer, Canoga Park, CA; and A. McGovern, K. L. Elmore, and M. B. Richman

Recorded presentation Poster PDF (65.5 kB)

2:00 PM

J7.3

Time tracking of precipitation systems in observed and forecast data

Michael E. Baldwin, Purdue University, West Lafayette, IN

Recorded presentation

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

Recorded presentation Poster PDF (693.8 kB)

2:30 PM

J7.5

Discussion

3:00 PM-3:30 PM: Tuesday, 13 January 2009

Coffee Break in Exhibit Hall

Location: Hall 4 (Phoenix Convention Center)

3:30 PM-5:30 PM: Tuesday, 13 January 2009

Forecasting Contest

Location: Room 125A (Phoenix Convention Center)

Sponsor: Seventh Conference on Artificial Intelligence and its Applications to the Environmental Sciences

Chair: Michael B. Richman, Univ. of Oklahoma

Papers:

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

Recorded presentation Poster PDF (33.0 kB)

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

Poster PDF (269.3 kB)

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 Jr. and F. Pungi

Recorded presentation Poster PDF (64.5 kB)

4:15 PM

3.4

Regime Dependent Precipitation Type Forecasting

Tyler C. McCandless, Penn State University, University Park, PA

Recorded presentation Poster PDF (116.1 kB)

4:30 PM

3.5

Employing stratified data mining models

Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK

Recorded presentation Poster PDF (65.5 kB)

4:45 PM

3.6

The effects of data issues and skill scores in creating predictive models

Matthew J. Pocernich, NCAR, Boulder, CO

Recorded presentation Poster PDF (2.4 MB)

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

Recorded presentation Poster PDF (72.3 kB)

5:15 PM

3.8

Comparison of support vector machines and minimax probability machines for precipitation prediction

Stephen Sullivan, UCAR, Boulder, CO

Recorded presentation Poster PDF (337.5 kB)

5:25 PM-5:30 PM: Tuesday, 13 January 2009

Sessions Adjourn for the Day

Wednesday, 14 January 2009

8:30 AM-10:00 AM: Wednesday, 14 January 2009

Joint Session 2

Applications of artificial learning techniques in climate variability, especially as it relates to the urban environment

Location: Room 125A (Phoenix Convention Center)

Sponsors: (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; Sue Ellen Haupt, Penn State Univ.

Papers:

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

Recorded presentation

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

Recorded presentation

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

Recorded presentation Poster PDF (234.2 kB)

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

Recorded presentation

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

Recorded presentation

10:00 AM-10:30 AM: Wednesday, 14 January 2009

Coffee Break in Meeting Room Foyer

Location: Phoenix Convention Center

11:00 AM-6:00 PM: Wednesday, 14 January 2009

Exhibits Open

12:00 PM-1:30 PM: Wednesday, 14 January 2009

Lunch Break (Cash and Carry in Exhibit Hall)

2:30 PM-4:00 PM: Wednesday, 14 January 2009

Formal Poster Viewing with Coffee Break

Location: Hall 5 (Phoenix Convention Center)

5:25 PM-5:30 PM: Wednesday, 14 January 2009

Sessions Adjourn for the Day

5:30 PM-6:30 PM: Wednesday, 14 January 2009

Reception in Exhibit Hall (Cash Bar)

Location: Hall 4 (Phoenix Convention Center)

7:00 PM-9:00 PM: Wednesday, 14 January 2009

AMS Annual Awards Banquet

Location: Northballroom (Phoenix Convention Center)

Thursday, 15 January 2009

5:15 PM-5:20 PM: Thursday, 15 January 2009

AMS 89th Annual Meeting Adjourns

« Collapse View