Fifth Conference on Artificial Intelligence Applications to Environmental Science (Expanded View)

* - Indicates paper has been withdrawn from meeting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 AM1.1Neural 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 AM1.2A hybrid machine learning and fuzzy logic approach to CIT diagnostic development  extended abstract
John K. Williams, NCAR, Boulder, CO; and J. Craig, A. Cotter, and J. K. Wolff
11:15 AM1.3A random-forest turbulence prediction algorithm  extended abstract
Andrew Cotter, NCAR, Boulder, CO; and J. K. Williams, R. K. Goodrich, and J. A. Craig
11:30 AM1.4Support vector machines for regional clear-air turbulence prediction  extended abstract
Jennifer A. Abernethy, NCAR, Boulder, CO; and R. Sharman
11:45 AM1.5Using artificial intelligence to optimize wireless sensor network deployments for sub-alpine biogeochemical process studies  extended abstract
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 PM2.1Dynamical-Statistical Models for Lightning Prediction to 48-hr Over Canada and the United States (Invited Speaker)  extended abstract
William R. Burrows, Environment Canada, Edmonton, AB, Canada
2:00 PM2.2Use of an Artificial Neural Network to Forecast Thunderstorm Location  extended abstract
Waylon G. Collins, NOAA/NWS, Corpus Christi, TX; and P. Tissot
2:15 PM2.3Creating spatio-temporal tornado probability forecasts using fuzzy logic and motion variability  extended abstract
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
 JP1.1Spatial coherence of rainfall variations using the Oklahoma Mesonet  extended abstract
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  
 JP1.2AWhat 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
 JP1.3Blocking 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
 JP1.4GPS radio occultations of arctic temperature profiles  
Jaclyn Trzaska, Rutgers Univ., New Brunswick, NJ; and J. Francis and D. E. Veron
 JP1.5Identifying 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
 JP1.6Comparison of glacier-inferred temperatures with observations and climate model simulations  
Diandong Ren, Univ. of Oklahoma/CAPS, Norman, OK; and D. J. Karoly
 JP1.7Assessing the trends of Southern Hemisphere transient wave activity in reanalyses and rawinsonde observations  
Yanjuan Guo, SUNY, Stony Brook, NY; and E. K. M. Chang
 JP1.8Comparative study on the land-cover change and global warming impacts on regional climate in Northeast Asia  extended abstract
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  
 JP1.10The search for ocean influences on midlatitude cyclones  
Richard E. Danielson, Dalhousie University, Halifax, NS, Canada
 JP1.11Regional climate change expected in Eastern/Central Europe  
Judit Bartholy, Eötvös Loránd University, Budapest, Hungary; and R. Pongracz, C. Torma, and A. Hunyady
 JP1.12Increased Precipitation is Climate Change imposed by Anthropogenic Activities  
Pankaj Kumar Sinha, Cochin University of Science & Technology, Cochin, India
 JP1.13Impact of land cover on the regional response to global warming  
Ming Cai, Florida State Univ., Tallahassee, FL; and Y. K. Lim and E. Kalnay
 JP1.14Evidence in support of the climate change-Atlantic hurricane hypothesis  
James B. Elsner, Florida State University, Tallahassee, FL
 JP1.15Detected trends in extreme temperature and precipitation indices in the Central/Eastern European region  extended abstract
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
 P1.1Going Nonlinear: Towards Automated Puff Intercept  extended abstract
George Young, Penn State Univ., University Park, PA; and S. E. Haupt
 P1.2Statistical downscaling of a specific weather pattern for rainfall forecast using techniques of artificial intelligence  
María Cleofé Valverde Ramírez, INPE, Săo Paulo, Brazil
 P1.3Wheat Yield Prediction using Artificial Neural Networks  
Babak Safa, Iranian Meteorological Organization, Isfahan, Isfahan, Iran; and A. Khalili, M. Teshnehlab, and A. M. Liaghat
 P1.43D Classification of Winter North Atlantic Geopotential Field Variability with the Help of Kohonen Maps (SOM)  extended abstract
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 PM3.1ANN Training Methods Targeting Performance during Extreme Events  
Philippe Tissot, Texas A&M Univ., Corpus Christi, TX; and B. Zimmer
4:15 PM3.2Application of Decision Support methods to Weather Sensitive Operations  extended abstract
Rich Domikis, The Boeing Company, Springfield, VA; and J. L. Scollins, M. Glanzmann, and L. Bisson
4:30 PM3.3A 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 PM3.4A Neural Network to Aid Forecasters in Identifying Significant Weather Events  extended abstract
Ron Holmes, NOAA/NWSFO, State College, PA; and R. H. Grumm and G. S. Young
5:00 PM3.5The future role of humans in the weather forecasting process - to provide input to a system that mechanically integrates judgmental (human) and automated predictions?  extended abstract
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 AMPaper 4.1 moved. New paper number 4.3A  
8:31 AM4.2Assimilating Monitored Data into Dispersion Models  
Sue Ellen Haupt, Penn State Univ., State College, PA; and G. Young and L. J. Peltier
8:45 AM4.3Characterizing Contaminant Source and Meteorological Forcing using Data Assimilation with a Genetic Algorithm  extended abstract wrf recording
Kerrie J. Long, Penn State Univ., University Park, PA; and S. E. Haupt, G. Young, and C. T. Allen
9:00 AM4.3AAnticipating the formation of tornadoes through data mining  extended abstract wrf recording
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 AM4.4ANN Predictive Water Temperature Modeling of Cold Water Events in a Shallow Lagoon  extended abstract wrf recording
Robyn Ball, Texas A&M Univ., Corpus Christi, TX; and P. Tissot, B. Zimmer, J. S. Adams, and B. Sterba-Boatwright
9:30 AM4.5A Machine Learning Tool to Forecast PM10 Level  extended abstract
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 PMWelcoming Remarks  
1:45 PMJ3.2Hybrid Numerical Climate and Weather Prediction Models Combining Deterministic and Statistical Learning Model Components (Invited Speaker)  extended abstract wrf recording
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. S. Fox-Rabinovitz
2:15 PMJ3.3Accurate and fast neural network emulation of full, long, and short wave, model radiation used for decadal climate simulations with NCAR CAM  extended abstract
Vladimir M. Krasnopolsky, Univ. of Maryland and NOAA/NCEP/EMC/SAIC, Camp Springs, MD; and M. Fox-Rabinovitz and A. Belochitski
2:30 PMJ3.4Predictability in past and future climate conditions: a preliminary analysis by neural networks using unforced and forced Lorenz systems as toy models  extended abstract wrf recording
Antonello Pasini, CNR, Rome, Italy
2:45 PMJ3.5Linking 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 PMCoffee Break in Exhibit Hall  
3:30 PMJ3.6Nonlinear 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 PMJ3.7Robust nonlinear multivariate statistical models for climate analysis  
Alex J. Cannon, MSC, Vancouver, BC, Canada; and W. W. Hsieh
4:15 PMJ3.8Finding interesting climate phenomena by exploratory statistical techniques  extended abstract wrf recording
Alexander Ilin, Helsinki University of Technology, Espoo, Finland; and H. Valpola and E. Oja
4:30 PMJ3.9Multiple imputation through machine learning algorithms  extended abstract wrf recording
Michael B. Richman, Univ. of Oklahoma, Norman, OK; and T. B. Trafalis and I. Adrianto
4:45 PMJ3.10Object-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