Land Data Assimilation

Accurate initialization of land surface water and energy stores is critical in environmental prediction because of their regulation of land-atmosphere fluxes over a variety of time scales. Errors in land surface forcing and parameterization accumulate in these integrated land stores leading to incorrect surface water and energy partitioning. However, many new land surface observations are becoming available that may be used to constrain the dynamics of these states. These constraints can be imposed by (1) forcing the land surface primarily by observations, thereby avoiding the often severe numerical weather prediction biases, and (2) using data assimilation techniques to constrain unrealistic storage dynamics. This is the goal underlying the Land Data Assimilation Systems conceptual framework which aims to develop the best estimation of the current state of land surfaces through an best possible integration of land surface observation and simulation.

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