* - Indicates paper has been withdrawn from meeting

Compact View of Conference

Sunday, 14 January 2007
	7:30 AM-9:00 AM, Sunday, East Registration Short Course Registration
	9:00 AM-6:00 PM, Sunday, East Registration Conference Registration
Monday, 15 January 2007
	7:30 AM-6:00 PM, Monday, East Registration Registration continues through Thursday, 18 January
	9:00 AM-10:15 AM, Monday Plenary Session for the Presidential Forum (Presidential Forum will then run parallel to other sessions throughout the day)
	10:15 AM-10:45 AM, Monday, Meeting Room Foyer Coffee Break
	10:45 AM-12:00 PM, Monday, 210B Session 1 Artificial Intelligence and Remote Sensing
Chair: John K. Williams, NCAR, Boulder, CO
10:45 AM 1.1 Neural network retrievals of precipitation and atmospheric temperature and moisture profiles from high-resolution microwave and infrared sounding data   William J. Blackwell, MIT Lincoln Laboratory, Lexington, MA; and F. W. Chen 11:00 AM 1.2 A hybrid machine learning and fuzzy logic approach to CIT diagnostic development   John K. Williams, NCAR, Boulder, CO; and J. Craig, A. Cotter, and J. K. Wolff 11:15 AM 1.3 A random-forest turbulence prediction algorithm   Andrew Cotter, NCAR, Boulder, CO; and J. K. Williams, R. K. Goodrich, and J. A. Craig 11:30 AM 1.4 Support vector machines for regional clear-air turbulence prediction   Jennifer A. Abernethy, NCAR, Boulder, CO; and R. Sharman 11:45 AM 1.5 Using artificial intelligence to optimize wireless sensor network deployments for sub-alpine biogeochemical process studies   Lynette L. Laffea, Univ. of Colorado, Boulder, CO; and J. K. Williams, R. K. Monson, and R. H. Han
	12:15 PM-1:30 PM, Monday Lunch Break
	1:30 PM-2:30 PM, Monday, 210B Session 2 Artificial Intelligence and Forecasting - Part I
Chair: S. Lakshmivarahan, University of Oklahoma, Norman, OK
1:30 PM 2.1 Dynamical-Statistical Models for Lightning Prediction to 48-hr Over Canada and the United States (Invited Speaker)   William R. Burrows, Environment Canada, Edmonton, AB, Canada 2:00 PM 2.2 Use of an Artificial Neural Network to Forecast Thunderstorm Location   Waylon G. Collins, NOAA/NWS, Corpus Christi, TX; and P. Tissot 2:15 PM 2.3 Creating spatio-temporal tornado probability forecasts using fuzzy logic and motion variability   V. Lakshmanan, CIMMS/Univ. of Oklahoma, Norman, OK; and K. L. Ortega and T. M. Smith
	2:30 PM-4:00 PM, Monday, Exhibit Hall C Formal Poster Viewing with Coffee Break
	2:30 PM-4:00 PM, Monday, Exhibit Hall C Joint Poster Session 1 Climate change: in Hydrometeorological Variables, Detection & Attribution (Joint Between the 19th Conference on Climate Variability and Change, 23rd Conference on IIPS, Climate Change Manifested by Changes in Weather, and the 5th Conference on Artificial Intelligence and its Applications to Environmental Sciences)
Chair: Aiguo Dai, NCAR, Boulder, CO
JP1.1 Spatial coherence of rainfall variations using the Oklahoma Mesonet   K. Margret Sturgis, Oklahoma Climatological Survey and Univ. of Oklahoma, Norman, OK; and R. A. McPherson, M. B. Richman, and D. J. Karoly   Poster Moved. New Paper Number 4A.11A     JP1.2A What can we (not?!) say about historical temperature changes from Radiosonde records?   Peter Thorne, UK Met Office, Exeter, United Kingdom; and M. McCarthy and H. Titchner   JP1.3 Blocking in the Northern and Southern Hemisphere: An update to include 2000 - 2006   Joseph V. Clark, Univ. of Missouri, Columbia, MO; and K. M. Mihalka and A. R. Lupo   JP1.4 GPS radio occultations of arctic temperature profiles   Jaclyn Trzaska, Rutgers Univ., New Brunswick, NJ; and J. Francis and D. E. Veron   JP1.5 Identifying Connections Between Temperature Trends and Station Changes in the United States   Rebecca A. Smith, Florida State Univ./COAPS, Tallahasssee, FL; and J. J. O'Brien   JP1.6 Comparison of glacier-inferred temperatures with observations and climate model simulations   Diandong Ren, Univ. of Oklahoma/CAPS, Norman, OK; and D. J. Karoly   JP1.7 Assessing the trends of Southern Hemisphere transient wave activity in reanalyses and rawinsonde observations   Yanjuan Guo, SUNY, Stony Brook, NY; and E. K. M. Chang   JP1.8 Comparative study on the land-cover change and global warming impacts on regional climate in Northeast Asia   Tomonori Sato, Univ. of Tokyo, Kashiwa, Japan; and F. Kimura   Poster JP1.9 has been moved. New paper number 2B.7A in the 23IIPS Program     JP1.10 The search for ocean influences on midlatitude cyclones   Richard E. Danielson, Dalhousie University, Halifax, NS, Canada   JP1.11 Regional climate change expected in Eastern/Central Europe   Judit Bartholy, Eötvös Loránd University, Budapest, Hungary; and R. Pongracz, C. Torma, and A. Hunyady   JP1.12 Increased Precipitation is Climate Change imposed by Anthropogenic Activities   Pankaj Kumar Sinha, Cochin University of Science & Technology, Cochin, India   JP1.13 Impact of land cover on the regional response to global warming   Ming Cai, Florida State Univ., Tallahassee, FL; and Y. K. Lim and E. Kalnay   JP1.14 Evidence in support of the climate change-Atlantic hurricane hypothesis   James B. Elsner, Florida State University, Tallahassee, FL   JP1.15 Detected trends in extreme temperature and precipitation indices in the Central/Eastern European region   Rita Pongracz, Eötvös Loránd University, Budapest, Hungary; and J. Bartholy
	2:30 PM-4:00 PM, Monday, Exhibit Hall C Poster Session 1 Artificial Intelligence and Environmental Science Posters
P1.1 Going Nonlinear: Towards Automated Puff Intercept   George Young, Penn State Univ., University Park, PA; and S. E. Haupt   P1.2 Statistical downscaling of a specific weather pattern for rainfall forecast using techniques of artificial intelligence   María Cleofé Valverde Ramírez, INPE, Săo Paulo, Brazil   P1.3 Wheat Yield Prediction using Artificial Neural Networks   Babak Safa, Iranian Meteorological Organization, Isfahan, Isfahan, Iran; and A. Khalili, M. Teshnehlab, and A. M. Liaghat   P1.4 3D Classification of Winter North Atlantic Geopotential Field Variability with the Help of Kohonen Maps (SOM)   Ladislav Metelka, Czech Hydrometeorological Institute, Hradec Kralove, Czech Republic
	4:00 PM-5:15 PM, Monday, 210B Session 3 Artificial Intelligence and Forecasting - Part II
Chair: Valliappa Lakshmanan, CIMMS/Univ. of Oklahoma, NOAA/NSSL, Norman, OK
4:00 PM 3.1 ANN Training Methods Targeting Performance during Extreme Events   Philippe Tissot, Texas A&M Univ., Corpus Christi, TX; and B. Zimmer 4:15 PM 3.2 Application of Decision Support methods to Weather Sensitive Operations   Rich Domikis, The Boeing Company, Springfield, VA; and J. L. Scollins, M. Glanzmann, and L. Bisson 4:30 PM 3.3 A Fingerprinting Technique for Major Weather Events   Benjamin Root, Penn State Univ., University Park, PA; and P. G. Knight, R. H. Grumm, R. Holmes, J. Ross, and G. S. Young 4:45 PM 3.4 A Neural Network to Aid Forecasters in Identifying Significant Weather Events   Ron Holmes, NOAA/NWSFO, State College, PA; and R. H. Grumm and G. S. Young 5:00 PM 3.5 The future role of humans in the weather forecasting process - to provide input to a system that mechanically integrates judgmental (human) and automated predictions?   Harvey Stern, Bureau of Meteorology, Melbourne, Vic., Australia
	5:30 PM, Monday Sessions end for the day
Tuesday, 16 January 2007
	8:30 AM-9:45 AM, Tuesday, 210B Session 4 Applications of Artificial Intelligence
Chair: Michael B. Richman, University of Oklahoma, Norman, OK
8:30 AM Paper 4.1 moved. New paper number 4.3A   8:31 AM 4.2 Assimilating Monitored Data into Dispersion Models   Sue Ellen Haupt, Penn State Univ., State College, PA; and G. Young and L. J. Peltier 8:45 AM 4.3 Characterizing Contaminant Source and Meteorological Forcing using Data Assimilation with a Genetic Algorithm   Kerrie J. Long, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and C. T. Allen 9:00 AM 4.3A Anticipating the formation of tornadoes through data mining   Amy McGovern, Univ. of Oklahoma, Norman, OK; and D. H. Rosendahl, A. Kruger, M. G. Beaton, R. A. Brown, and K. K. Droegemeier 9:15 AM 4.4 ANN Predictive Water Temperature Modeling of Cold Water Events in a Shallow Lagoon   Robyn Ball, Texas A&M Univ., Corpus Christi, TX; and P. Tissot, B. Zimmer, J. S. Adams, and B. Sterba-Boatwright 9:30 AM 4.5 A Machine Learning Tool to Forecast PM10 Level   G. Raimondo, Polytechnic Univ., Turin, Italy; and A. Montuori, W. Moniaci, E. Pasero, and E. Almkvist
	9:45 AM-11:00 AM, Tuesday, Exhibit Hall C Formal Poster Viewing with Coffee Break
	11:00 AM-6:00 PM, Tuesday, Exhibit Hall D Exhibits Open
	12:00 PM-1:30 PM, Tuesday Lunch Break
	12:00 PM-1:45 PM, Tuesday Arakawa Symposium Luncheon
	1:40 PM-5:00 PM, Tuesday, 210B Joint Session 3 Artificial Intelligence and Climate Applications (Joint between 5th Conference on Applications of Artificial Intelligence in the Environmental Sciences and 19th Conference on Climate Variability and Change)
Cochairs: Antonello Pasini, CNR, Rome Italy; Vladimir M. Krasnopolsky, Univ. of Maryland and SAIC at NOAA/NCEP/EMC, Camp Springs, MD
1:40 PM Welcoming Remarks   1:45 PM J3.2 Hybrid Numerical Climate and Weather Prediction Models Combining Deterministic and Statistical Learning Model Components (Invited Speaker)   Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. S. Fox-Rabinovitz 2:15 PM J3.3 Accurate and fast neural network emulation of full, long, and short wave, model radiation used for decadal climate simulations with NCAR CAM   Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. Fox-Rabinovitz and A. Belochitski 2:30 PM J3.4 Predictability in past and future climate conditions: a preliminary analysis by neural networks using unforced and forced Lorenz systems as toy models   Antonello Pasini, CNR, Rome, Italy 2:45 PM J3.5 Linking Climatic Variables with Colombian Development Indicators via Inductive Learning Tools   John Alexander Segura Sr., Hydrosciences Research Group, Bogotá, Colombia; and R. J. Brito, Y. R. Coronel, and N. Obregón 3:00 PM Coffee Break in Exhibit Hall   3:30 PM J3.6 Nonlinear principal component analysis: A new information criterion for model selection in noisy climate datasets (Invited Speaker)   William W. Hsieh, Univ. of British Columbia, Vancouver, BC, Canada 4:00 PM J3.7 Robust nonlinear multivariate statistical models for climate analysis   Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh 4:15 PM J3.8 Finding interesting climate phenomena by exploratory statistical techniques   Alexander Ilin, Helsinki University of Technology, Espoo, Finland; and H. Valpola and E. Oja 4:30 PM J3.9 Multiple imputation through machine learning algorithms   Michael B. Richman, Univ. of Oklahoma, Norman, OK; and T. B. Trafalis and I. Adrianto 4:45 PM J3.10 Object-oriented analysis of precipitation systems in NCEP Stage II analyses   Michael E. Baldwin, Purdue Univ., West Lafayette, IN; and R. J. Trapp
	5:30 PM-5:00 PM, Tuesday Sessions end for the day
Wednesday, 17 January 2007
	11:00 AM-6:45 PM, Wednesday, Exhibit Hall D Exhibits Open
	5:30 PM-6:45 PM, Wednesday, Exhibit Hall D Reception in Exhibit Hall (Cash Bar)
	7:00 PM-9:30 PM, Wednesday, Ballroom C123 AMS Annual Awards Banquet
Thursday, 18 January 2007
	11:00 AM-4:00 PM, Thursday, Exhibit Hall D Exhibits Open
	3:00 PM-3:30 PM, Thursday, Exhibit Hall D Coffee Break in Exhibit Hall and Raffle
	3:00 PM, Thursday Registration Desk Closes
	4:00 PM, Thursday Exhibits Close
	5:30 PM, Thursday Conference Ends
	6:00 PM-9:00 PM, Thursday Rasmusson Symposium Banquet

Browse the complete program of The 87th AMS Annual Meeting