Conference paper
Measurement and modeling of moist processes
Report of the Proceedings of the Colloquium and Workshop on Multiscale Coupled Modeling
01 Jun 1993
Abstract
Finally, Stauffer discussed the use of the adjoint equations of a numerical model for internal parameter estimation, In an example using a 1-D shallow-fluid model, optimal control theory is applied to the determination of an "optimal" set of weighting coefficients used in the nudging approach, which relaxes the model state toward the observed state by adding to one or more of the prognostic equations artificial tendency terms which are proportional to the difference between the two states. The "proportionality constants" are usually based on scaling arguments, and modified by weighting functions which reflect the time and space separation of the model solution from the data, as well as data quality and representativeness. He demonstrated that the magnitude and distribution of these coefficients can be determined using the shallow-fluid model and its adjoint such that the model error during the assimilation period is optimally reduced subject to some constraints. 3.4 Measurement and modeling of moist processes William Cotton: Explicit Simulation of Mesoscale
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Details
- Title
- Measurement and modeling of moist processes
- Creators
- Donald J. Perkey - Drexel UniversityWilliam Cotton - Colorado State UniversityDavid Starr - Goddard Space Flight CenterKenneth Mitchell - National Oceanic and Atmospheric AdministrationRex Fleming - National Oceanic and Atmospheric AdministrationSteve Koch - Goddard Space Flight CenterGreg Tripoli - University of Wisconsin–Madison
- Publication Details
- Report of the Proceedings of the Colloquium and Workshop on Multiscale Coupled Modeling
- Publisher
- National Aeronautics and Space Administration
- Resource Type
- Conference paper
- Language
- English
- Academic Unit
- Drexel University
- Identifiers
- 991022043493104721