Study of Climate Trends using Nonlinear and Stochastic Methods

Convener: Penland 
Co-Convener: X. L. Wang

Discussions of global warming often involve fitting linear trends to data. In fact, trends due to any particular physical phenomenon are rarely linear. We invite researchers to this session who have developed and/or used rigorous methods of investigating the nature of climate trends. Results based on either statistical or stochastic numerical methods are welcome. Of particular interest are studies that investigate the dynamical origins of observations affected by multiple physical effects (for example, El Nino and the global warming trend).