* - Indicates paper has been withdrawn from meeting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 PM B1.1 Joach 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 PM 1.1 Development of neural network convection parameterizations for climate models using CRM simulations and ARM data   Vladimir M. Krasnopolsky, NCEP/NWS/NOAA and SAIC, 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   Recorded presentation Robin C. Gilbert, University of Oklahoma, Norman, OK; and M. B. Richman, L. M. Leslie, and X. Wang 2:15 PM 1.3 Linear and nonlinear postprocessing of ensemble forecasts   Recorded presentation Ranran Wang, University of Washington, Seattle, WA; and C. Marzban 2:30 PM 1.4 Improving snowfall accumulation predictions by post-processing ensemble forecasts with an Artificial Neural Network   Recorded presentation Tyler C. McCandless, Penn State University, University Park, PA; and S. E. Haupt and G. Young 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   Recorded presentation 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 PM J1.1 Evaluation of sensor placement techniques   Recorded presentation Ian H. Griffiths, RiskAware Ltd, Bristol, United Kingdom; and I. Bush 3:45 PM J1.2 Comparative investigation of source term estimation algorithms using FUSION field trial 2007 data   Recorded presentation Nathan Platt, Institute for Defense Analyses, Alexandria, VA; and D. Deriggi 4:00 PM J1.3 Using regression-based source detection algorithm for source location with FFT-07 data   Recorded presentation Randolph J. Evans, ENSCO, Inc., Melbourne, FL; and S. E. Masters and M. A. Kienzle 4:15 PM J1.4 Source Term Characterization of FFT07 Data using a Genetic Algorithm   Recorded presentation Luna M. Rodriguez, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, A. J. Annunzio, and K. J. Long 4:30 PM J1.5 Combined Methods from Entity and Field Frameworks to Determine the Source Characteristics of a Contaminant   Recorded presentation Andrew J. Annunzio, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and L. M. Rodriguez 4:45 PM J1.6 A forensic approach to source location applied to FFT-07 data   Recorded presentation Shawn Rottmann, ENSCO, Melbourne, FL; and A. Siegel 5:00 PM J1.7 Machine Learning for the Source Detection of Atmospheric Emissions   Guido Cervone, George Mason University, Fairfax, VA; and P. Franzese 5:15 PM J1.8 Real-time fusion of sensor data to achieve improved situational awareness   Recorded presentation 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 AM 2.1 Optimization of neural net training using patterns selected by cluster analysis: a case-study of ozone prediction level   Recorded presentation Armando Pelliccioni Sr., ISPESL, Monteporzio Catone, Italy; and R. Cotroneo and F. Pungì 8:45 AM 2.2 Visualize, analyze and mine satellite imagery using GLIDER software tool   Recorded presentation 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 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   Recorded presentation Samantha J. Royston, University of Bristol / Proudman Oceanographic Laboratory, Liverpool, Merseyside, United Kingdom; and K. Horsburgh and J. Lawry 9:30 AM 2.5 Analyzing the effects of low level boundaries on tornadogenesis through spatiotemporal relational data mining   Recorded presentation David John Gagne II, University of Oklahoma, Norman, OK; and T. A. Supinie, A. McGovern, J. B. Basara, and R. A. Brown 9:45 AM 2.6 Capturing relationships between coherent structures and convectively-induced turbulence using Spatiotemporal Relational Random Forests   Recorded presentation 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 AM 3.1 The Third Annual Artificial Intelligence Forecasting Competition   Recorded presentation Stephen Sullivan, UCAR, Boulder, CO; and M. J. Pocernich and J. Abernethy 10:45 AM 3.2 Probabilistic Turbulence Prediction using Random Forests   Recorded presentation Zhengzheng Li, The University of Oklahoma, Norman, OK; and T. A. Supinie 11:00 AM 3.3 Predicting Turbulence Using a Neural Network   Recorded presentation Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK 11:15 AM 3.4 Turbulence Probability using Principal Component Analysis and Support Vector Machine Approaches   Recorded presentation Kimberly L. Elmore, CIMMS/Univ. of Oklahoma and NOAA/NSSL, Norman, OK; and M. B. Richman 11:30 AM 3.5 Statistical Turbulence Prediction   Recorded presentation 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)
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
	2:30 PM-4:00 PM, Wednesday, Exhibit Hall B2 Poster Session Applications of Artificial Intelligence Methods to Problems in Environmental Science
453 Ranking severe weather outbreaks using a multivariate index   Chad M. Shafer, University of Oklahoma, Norman, OK ; and C. A. Doswell   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. B. Richman, L. M. Leslie, and C. A. Doswell   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
	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 PM J11.1 A proposed framework for estimating and reducing hourly-updated forecast uncertainty products for aviation applications in NextGen   Recorded presentation Stan Benjamin, NOAA/ESRL, Boulder, CO; and G. DiMego 4:15 PM J11.2 Advances in the Collaborative Storm Prediction for Aviation (CoSPA)   Recorded presentation 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 PM J11.3 Probabilistic forecasting of ceiling and visibility at CONUS terminals: Development progress   Recorded presentation Paul H. Herzegh, NCAR, Boulder, CO; and B. Lambi, J. Cowie, G. Wiener, R. Bateman, and J. Black 4:45 PM J11.4 Using a genetic algorithm to estimate source term parameters of volcanic ash clouds   Recorded presentation Kerrie J. Long, Penn State University, State College, PA; and D. Truesdell and S. E. Haupt 5:00 PM J11.5 Techniques for providing probabilistic forecasts of turbulence for NextGen   Recorded presentation Matthew J. Pocernich, NCAR, Boulder, CO; and R. D. Sharman and J. K. Williams 5:15 PM J11.6 Regionalized probabilistic turbulence forecasting using machine learning with in-situ data   Recorded presentation Jennifer Abernethy, NCAR/RAL, Boulder, CO; and R. D. Sharman and J. K. Williams 5:30 PM J11.7 A probabilistic global turbulence nowcast and forecast system   Recorded presentation 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 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 J10.1 The three dimensions of prediction and service   Philip Chadwick, EC, Toronto, ON, Canada 11:15 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   Recorded presentation Pablo Santos, NOAA/NWS, Miami, FL; and M. DeMaria and D. W. Sharp 11:30 AM J10.3 Verification of aviation turbulence detection, nowcast, and forecast products   Recorded presentation John K. Williams, NCAR, Boulder, CO; and M. J. Pocernich, R. D. Sharman, and J. Abernethy 11:45 AM J10.4 Evaluation of a probabilistic convective nowcast for CoSPA   Recorded presentation D. Ahijevych, NCAR, Boulder, CO; and J. Williams, S. Dettling, H. Cai, and M. Steiner 12:00 PM J10.5 Choosing a scoring rule for verification of forecast probability distributions: Continuous ranked probability score or ignorance score?   Recorded presentation Jonathan R. Moskaitis, National Research Council, Monterey, CA
	12:15 PM-1:30 PM, Thursday, B206 Presidential Town Hall Meeting: Dr. Jane Lubchenco’s Plenary Luncheon (Cash and Carry lunch available outside of the meeting room)
12:15 PM Panelist: Jane Lubchenco   Jane Lubchenco, NOAA Administrater, Washington, DC
	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

Browse the complete program of The 90th American Meteorological Society Annual Meeting