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development of a sea ice model-data assimilation framework in WP3 of SI/3D and perform seasonal sea ice forecasting experiments. The postdoc will set up the data assimilation framework for summer sea ice
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of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM-FATES model using: Snow cover Flux tower data
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cycling, by including growth and decay of saprotrophs (bacteria and fungi) as well as mycorrhiza fungi. The postdoc will work together with UiO expertise on data assimilation to calibrate the coupled CLM
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interactions on decadal timescales and the joint influence on for instance high latitude climate. The candidate will analyze a new and novel coupled millennium reanalysis, which uses modern data assimilation and