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Data assimilation, model parameterization and application Cathy and Michael.

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Presentation on theme: "Data assimilation, model parameterization and application Cathy and Michael."— Presentation transcript:

1 Data assimilation, model parameterization and application Cathy and Michael

2 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.

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

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8 Liljedahl et al. 2011

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

12 -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

13 Estimation Framework: Scaling 6in 1ft ~few m 300-500m Core Satellite ~10km 10-20cm Small coverage Large coverage Detail Low resolution Surface geophysics

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