Session: 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) (87th AMS Annual Meeting)

Tuesday, 16 January 2007: 1:40 PM-5:00 PM

210B (Henry B. Gonzalez Convention Center)

Cochairs: Antonello Pasini, CNR and Vladimir M. Krasnopolsky, Univ. of Maryland and SAIC at NOAA/NCEP/EMC

Papers:

1:40 PM

J3.1

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, NCEP/NWS/NOAA (SAIC), Camp Springs, MD; and M. S. Fox-Rabinovitz

Recorded presentation Poster PDF (20.9 kB)

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

Poster PDF (34.6 kB)

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

Recorded presentation Poster PDF (237.5 kB)

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

J3.5a

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

Recorded presentation

4:00 PM

J3.7

Robust nonlinear multivariate statistical models for climate analysis

Alex J. Cannon, Meteorological Service of Canada, Vancouver, BC, Canada; and W. W. Hsieh

Recorded presentation

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

http://www.cis.hut.fi/alexilin/climate/

Recorded presentation Poster PDF (1.7 MB)

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

Recorded presentation Poster PDF (315.5 kB)

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

Recorded presentation

See more of: Fifth Conference on Artificial Intelligence Applications to Environmental Science

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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)