* - Indicates paper has been withdrawn from meeting

Program Chairpersons:
John Williams, NCAR

Compact View of Conference

Sunday, 17 January 2010
7:30 AM-9:00 AM, Sunday
Short Course Registration
 
9:00 AM-6:00 PM, Sunday
Annual Meeting Registration Begins
 
12:00 PM-4:00 PM, Sunday
Weatherfest
 
3:00 PM-4:00 PM, Sunday, B314
First-Time Attendee Briefing
 
5:00 PM-6:00 PM, Sunday, B314
Annual Meeting Review and Fellows Awards
 
6:00 PM-7:00 PM, Sunday, Exhibit Hall B2
Fellows Reception
 
Monday, 18 January 2010
7:30 AM-5:30 PM, Monday
Registration Open
 
9:00 AM-10:30 AM, Monday, Thomas Murphy Ballroom 1 and 2
Presidential Forum
 
10:30 AM-11:00 AM, Monday
Coffee Break in Meeting Room Foyer
 
12:00 PM-1:30 PM, Monday
Lunch Break
 
2:30 PM-4:00 PM, Monday, Exhibit Hall B2
Formal Poster Viewing with Coffee Break
 
5:30 PM-7:30 PM, Monday, Exhibit Hall B1
Opening of the Exhibit Hall with Reception
 
Tuesday, 19 January 2010
9:45 AM-11:00 AM, Tuesday, Exhibit Hall B2
Formal Poster Viewing with Coffee Break
 
11:00 AM-6:00 PM, Tuesday, Exhibit Hall B1
Exhibits Open
 
12:00 PM-1:30 PM, Tuesday, B208
Kuettner Symposium Luncheon
12:00 PMB1.1Joach Kuettner—A Man in Love with the Sky  
Einar Enevoldson, The Perlan Project, Emeryville, CA
 
12:00 PM-1:30 PM, Tuesday
Lunch Break (Cash and Carry in Exhibit Hall)
 
1:30 PM-3:00 PM, Tuesday, B204
Session 1 Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part I
Chair: Michael B. Richman, Univ. of Oklahoma, Norman, OK
1:30 PM1.1Development 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 PM1.2Data assimilation through machine learning methods  
Robin C. Gilbert, University of Oklahoma, Norman, OK; and M. B. Richman, L. M. Leslie, and X. Wang
2:15 PM1.3Linear and nonlinear postprocessing of ensemble forecasts  extended abstract
Ranran Wang, University of Washington, Seattle, WA; and C. Marzban
2:30 PM1.4Improving snowfall accumulation predictions by post-processing ensemble forecasts with an Artificial Neural Network  extended abstract
Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young
2:45 PM1.5Optimization of neural network performances by means of exogenous input variables for the forecast of ozone pollutant in Rome urban area  extended abstract
Armando Pelliccioni, ISPESL, Monteporzio Catone, Italy; and F. Pungi, S. Lucidi, and V. La Torre
 
3:00 PM-3:30 PM, Tuesday, Exhibit Hall B1
Coffee Break in Exhibit Hall
 
3:30 PM-5:30 PM, Tuesday, B308
Joint Session 1 Applications of Artificial Intelligence Techniques to Air Pollution Problems (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., University Park, PA; Michael J. Brown, LANL, Los Alamos, NM
3:30 PMJ1.1Evaluation of sensor placement techniques  extended abstract
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and I. Bush
3:45 PMJ1.2Comparative investigation of source term estimation algorithms using FUSION field trial 2007 data  extended abstract
Nathan Platt, Institute for Defense Analyses, Alexandria, VA; and D. Deriggi
4:00 PMJ1.3Using 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
4:15 PMJ1.4Source Term Characterization of FFT07 Data using a Genetic Algorithm  extended abstract
Luna M. Rodriguez, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, A. J. Annunzio, and K. J. Schmehl
4:30 PMJ1.5Combined Methods from Entity and Field Frameworks to Determine the Source Characteristics of a Contaminant  extended abstract
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and L. M. Rodriguez
4:45 PMJ1.6A forensic approach to source location applied to FFT-07 data  
Shawn Rottmann, ENSCO, Melbourne, FL; and A. Siegel
5:00 PMJ1.7Machine Learning for the Source Detection of Atmospheric Emissions  extended abstract
Guido Cervone, George Mason University, Fairfax, VA; and P. Franzese
5:15 PMJ1.8Real-time fusion of sensor data to achieve improved situational awareness  extended abstract
Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and M. Bull and L. Carrivick
 
Wednesday, 20 January 2010
8:30 AM-10:00 AM, Wednesday, B204
Session 2 Applications of Artificial Intelligence Methods to Problems in Environmental Science: Part II
Chair: Philippe E. Tissot, Texas A&M University-Corpus Christi, Corpus Christi, TX
8:30 AM2.1Optimization of neural net training using patterns selected by cluster analysis: a case-study of ozone prediction level  extended abstract
Armando Pelliccioni Sr., ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungė
8:45 AM2.2Visualize, 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
9:00 AM2.3Design 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 AM2.4Prediction of skew surge by a fuzzy decision tree  extended abstract
Samantha J. Royston, University of Bristol / Proudman Oceanographic Laboratory, Liverpool, Merseyside, United Kingdom; and K. Horsburgh and J. Lawry
9:30 AM2.5Analyzing the effects of low level boundaries on tornadogenesis through spatiotemporal relational data mining  extended abstract
David John Gagne II, University of Oklahoma, Norman, OK; and T. A. Supinie, A. McGovern, J. B. Basara, and R. A. Brown
9:45 AM2.6Capturing 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
 
10:00 AM-10:30 AM, Wednesday
Coffee Break in Meeting Room Foyer
 
10:30 AM-12:00 PM, Wednesday, B204
Session 3 Third Annual AMS Artificial Intelligence Forecasting Contest: Methods and Results
Chair: Matthew J. Pocernich, NCAR, Boulder, CO
10:30 AM3.1The Third Annual Artificial Intelligence Forecasting Competition  extended abstract
Stephen Sullivan, UCAR, Boulder, CO; and M. J. Pocernich and J. Abernethy
10:45 AM3.2Probabilistic Turbulence Prediction using Random Forests  extended abstract
Zhengzheng Li, The University of Oklahoma, Norman, OK; and T. A. Supinie
11:00 AM3.3Predicting Turbulence Using a Neural Network  extended abstract
Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
11:15 AM3.4Turbulence Probability using Principal Component Analysis and Support Vector Machine Approaches  extended abstract
Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman
11:30 AM3.5Statistical Turbulence Prediction  extended abstract
Walter C. Kolczynski Jr., Penn State University, University Park, PA; and S. E. Haupt
 
11:00 AM-6:30 PM, Wednesday
Exhibits Open
 
12:00 PM-1:30 PM, Wednesday
Lunch Break (Cash and Carry in Exhibit Hall)
 
2:30 PM-4:00 PM, Wednesday, Exhibit Hall B2
Formal Poster Viewing with Coffee Break
 
2:30 PM-4:00 PM, Wednesday, Exhibit Hall B2
Joint Poster Session Applications of Artificial Intelligence Techniques to Air Pollution Problems (Joint between the 16th Conference on Air Pollution Meteorology and the 8th Conference on Artificial Intelligence Applications to Environmental Science)
 452Determining Turbulence Scaling Variables and Source Characteristics from Contaminant Concentration Data  extended abstract
Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt and G. Young
 
2:30 PM-4:00 PM, Wednesday, Exhibit Hall B2
Poster Session Applications of Artificial Intelligence Methods to Problems in Environmental Science
 453Ranking severe weather outbreaks using a multivariate index  
Chad M. Shafer, University of Oklahoma, Norman, OK ; and C. A. Doswell III
 454Using support vector machines to predict the type and relative severity of severe weather outbreaks  
Chad M. Shafer, University of Oklahoma, Norman, OK ; and M. B. Richman, L. M. Leslie, and C. A. Doswell III
 455Using 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
 
4:00 PM-5:45 PM, Wednesday, B204
Joint Session 11 Probabilistic Forecasting for the Next Generation Air Transportation System (NextGen) (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, Boulder, CO; John J. Murray, NASA Langley Research Center, Hampton, VA; Jun Du, NOAA/NWS/NCEP, Camp Springs, MD
4:00 PMJ11.1A 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
4:15 PMJ11.2Advances in the Collaborative Storm Prediction for Aviation (CoSPA)  extended abstract
J. Pinto, NCAR, Boulder, CO; and J. 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
4:30 PMJ11.3Probabilistic 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
4:45 PMJ11.4Using a genetic algorithm to estimate source term parameters of volcanic ash clouds  extended abstract
Kerrie J. Schmehl, Penn State University, State College, PA; and D. Truesdell and S. E. Haupt
5:00 PMJ11.5Techniques for providing probabilistic forecasts of turbulence for NextGen  
Matthew J. Pocernich, NCAR, Boulder, CO; and R. D. Sharman and J. K. Williams
5:15 PMJ11.6Regionalized probabilistic turbulence forecasting using machine learning with in-situ data  
Jennifer Abernethy, NCAR/RAL, Boulder, CO; and R. D. Sharman and J. K. Williams
5:30 PMJ11.7A probabilistic global turbulence nowcast and forecast system  
John K. Williams, NCAR, Boulder, CO; and C. J. Kessinger, R. D. Sharman, W. F. Feltz, and A. Wimmers
 
5:30 PM-6:30 PM, Wednesday, Exhibit Hall B1
Reception in Exhibit Hall (Cash Bar)
 
7:00 PM-9:00 PM, Wednesday, Thomas Murphy Ballroom 1-4
AMS Annual Awards Banquet
 
Thursday, 21 January 2010
7:30 AM-8:30 AM, Thursday, B208
Washington Symposium Breakfast
 
9:45 AM-1:30 PM, Thursday
Exhibits Open
 
9:45 AM-11:00 AM, Thursday, Exhibit Hall B2
Formal Poster Viewing with Coffee Break
 
11:00 AM-12:15 PM, Thursday, B305
Joint Session 10 Verification of Probabilistic Forecasts (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, Dorval, QC Canada; Barbara G. Brown, NCAR, Boulder, CO; Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
11:00 AMJ10.1AA 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
J10.1The three dimensions of prediction and service  
Philip Chadwick, EC, Toronto, ON, Canada
11:15 AMJ10.2Determining Optimal Thresholds for Inland Locations of Tropical Cyclone Incremental Wind Speed Probabilities to Support the Provision of Expressions of Uncertainty within Text Forecast Products  extended abstract
Pablo Santos, NOAA/NWS, Miami, FL; and M. DeMaria and D. W. Sharp
11:30 AMJ10.3Verification of aviation turbulence detection, nowcast, and forecast products  
John K. Williams, NCAR, Boulder, CO; and M. J. Pocernich, R. D. Sharman, and J. Abernethy
11:45 AMJ10.4Evaluation of a probabilistic convective nowcast for CoSPA  extended abstract
D. Ahijevych, NCAR, Boulder, CO; and J. Williams, S. Dettling, H. Cai, and M. Steiner
12:00 PMJ10.5Choosing a scoring rule for verification of forecast probability distributions: Continuous ranked probability score or ignorance score?  
Jonathan R. Moskaitis, Naval Research Laboratory, Monterey, CA
 
3:00 PM-3:30 PM, Thursday
Coffee Break in Meeting Room Foyer
 
5:00 PM-5:05 PM, Thursday
AMS 90th Annual Meeting Adjourns
 

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