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Pacific Coast Fog: Using Data Assimilation Techniques to Develop Ecologically Relevant Fog Data Sets
(2011)
  • Alicia Torregrosa
  • S. Jeffrey Underwood, Georgia Southern University
Abstract
The goal of this project is to create critically needed coastal fog datasets. Anticipated products from the collaboration between on-the-ground natural resource managers and a multidisciplinary coalition of physical scientists are: 1) a compilation of existing fog related data from multiple sources: satellite (AVHRR, GOES, Modis, Landsat), NOAA buoy , and airport and meteorological stations, 2) USGS Open File report documenting the results of a multiday working session with climatologists, remote sensing specialists, fog modelers, statisticians, and natural resource managers, convened to review the data, examine and assess the correlations between data streams and models, specify initial parameters to be extracted from the data fusion, and define the data assimilation framework for deriving interpolations and projections, 3) an internet-based collaboration platform to share the data, and 4) a second working session to review assimilated product, discuss a longer-term strategy for operational continuity and product refinement.
Disciplines
Publication Date
2011
Citation Information
Alicia Torregrosa (PI) and S. Jeffrey Underwood (Senior Researcher). "Pacific Coast Fog: Using Data Assimilation Techniques to Develop Ecologically Relevant Fog Data Sets", Sponsored by the California Landscape Conservation Cooperative, $99,883. (#5308380) 2011-2012.