Assimilation of small scale observations with a nested adjoint model

Clark Amerault; James Doyle

doi:10.1117/12.795348

10 September 2008 Assimilation of small scale observations with a nested adjoint model

Clark Amerault, James Doyle

Proceedings Volume 7085, Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II; 70850R (2008) https://doi.org/10.1117/12.795348
Event: Optical Engineering + Applications, 2008, San Diego, California, United States

Abstract

An adjoint limited area numerical weather prediction model with multiple nests has been developed. The adjoint modeling system has the capability to pass gradient information from the finer spaced nest to the coarser spaced domain. Therefore, gradients of scalar functions calculated from small scale features can be computed with respect to the large scale model state. Sensitivity experiments were performed to show that the nested adjoint model produces physically meaningful gradients. Results from data assimilation experiments will be presented at the conference. An adjoint model such as the one presented here, could be an important tool for variational assimilation schemes that intend to make use of high resolution remotely sensed data.

Citation Download Citation

Clark Amerault and James Doyle "Assimilation of small scale observations with a nested adjoint model", Proc. SPIE 7085, Atmospheric and Environmental Remote Sensing Data Processing and Utilization IV: Readiness for GEOSS II, 70850R (10 September 2008); https://doi.org/10.1117/12.795348

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