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Activity Number: 251 - Spatial and Spatiotemporal Modeling in Climate and Meteorology
Type: Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract #329752 Presentation
Title: Space-Time Characterization of Sub-Grid Air-Sea Flux Variability
Author(s): Julie Bessac* and Hannah Christensen and Adam Monahan and Aneesh Subramanian and Nils Weitzel
Companies: Argonne National Laboratory and National Center for Atmospheric Research and University of Victoria and Scripps Institution of Oceanography and Meteorological Institute of the University of Bonn
Keywords: Sub-grid variability ; Space-Time modeling ; Wind data; Conditional distribution

Parts of the error in climate and weather modeling result from unresolved scales. Indeed many physical phenomena happen at scales finer than the discretization one and these interact with the resolved scales. Hence, quantifying the influence of the sub-grid scales on the resolved one is needed to better represent the resolved scales in the entire system. Sub-grid scale parameterizations have been developed to model this influence. Traditionally, such parameterizations are deterministic and physics based. More recently, parameterizations have been combined with stochastic frameworks. We propose to address the irreducible stochasticity resulting from area-averaged quantities not having a deterministic dependence on the resolved flow. This is relevant to problems such as the parameterization of turbulent air-sea fluxes, since the true turbulent flux depends on the unresolved local wind speed. We evaluate the difference between the true turbulent fluxes and those calculated using area-averaged wind speeds. We investigate a space-time characterization of this discrepancy, conditioned on the low resolution fields, with the view of developing a stochastic wind wind-flux parameterization.

Authors who are presenting talks have a * after their name.

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