Data assimilation, model parameterization and application Cathy and Michael.

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Presentation transcript:

Data assimilation, model parameterization and application Cathy and Michael

Year one objectives Develop primary scenario(s) and identify 1-3D domains of interest. Gather requirements from process modelers. Develop foundational data sets: parameter values, forcings, initial and boundary conditions to develop and test hydro, thermal mechanical process models/modules. Develop methods to fuse high temporal res./, low spatial res. data with high spatial res./low temporal res. data and assimilate into models. Use data assimilation tools to distribute values throughout selected high resolution 3-D model regime at appropriate scales.

Add categories: High centered, low centered, transitional polygonal ground Zulueta et al 2011

Liljedahl et al. 2011

Data to parameterize, initialize force and test models for specific domains and scenarios Ice content Hydraulic conductivity Topography

-lidar -GPR, Seismic Estimation Framework: Data Parameters of InterestIntermediate Parameters Data (in addition to point measurements ) Organic Matter -Soil Texture/Density -Soil Moisture -Vegetation -IP -GPR, EM -NDVI Freeze-Thaw Onset -Topography -Soil Moisture -Ice Content -lidar -GPR, EM -GPR, Seismic -Seismic, IP Ground Ice Content -Topography

Estimation Framework: Scaling 6in 1ft ~few m m Core Satellite ~10km 10-20cm Small coverage Large coverage Detail Low resolution Surface geophysics