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Chemical source inversion using assimilated constituent observations in an idealized two-dimensional system
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Sun, Zhibin Cooper, Robert Tangborn, Andrew Pawson, Steven |
| Copyright Year | 2009 |
| Description | We present a source inversion technique for chemical constituents that uses assimilated constituent observations rather than directly using the observations. The method is tested with a simple model problem, which is a two-dimensional Fourier-Galerkin transport model combined with a Kalman filter for data assimilation. Inversion is carried out using a Green's function method and observations are simulated from a true state with added Gaussian noise. The forecast state uses the same spectral spectral model, but differs by an unbiased Gaussian model error, and emissions models with constant errors. The numerical experiments employ both simulated in situ and satellite observation networks. Source inversion was carried out by either direct use of synthetically generated observations with added noise, or by first assimilating the observations and using the analyses to extract observations. We have conducted 20 identical twin experiments for each set of source and observation configurations, and find that in the limiting cases of a very few localized observations, or an extremely large observation network there is little advantage to carrying out assimilation first. However, in intermediate observation densities, there decreases in source inversion error standard deviation using the Kalman filter algorithm followed by Green's function inversion by 50% to 95%. |
| File Size | 1593404 |
| Page Count | 44 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20090023877 |
| Archival Resource Key | ark:/13960/t7jq5zd2r |
| Language | English |
| Publisher Date | 2009-04-29 |
| Access Restriction | Open |
| Subject Keyword | Meteorology And Climatology Carbon Cycle Climate Change Green's Functions Inversions Air Water Interactions Satellite Observation Galerkin Method Chemical Composition Air Land Interactions Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
