Inverse modeling with HYSPLIT Lagrangian Dispersion Model - Tests and Evaluation using the Cross Appalachian Tracer Experiment (CAPTEX) data
Abstract
HYSPLIT is a Lagrangian dispersion model that has been widely used in the atmospheric sciences community. A HYSPLIT inverse system based on 4D-Var data assimilation and a transfer coefficient matrix (TCM) has been developed and successfully applied to several implementations. In this study, the system is tested using the Cross Appalachian Tracer Experiment (CAPTEX) data. With well-quantified emission point sources for the six CAPTEX controlled releases, the tracer measurements have been extensively used to evaluate various transport and dispersion models. The known sources also provide a unique opportunity to evaluate the estimated emission sources through the top-down approach. In this inverse modeling setup, the CAPTEX measurements are first used to estimate the point source strengths assuming the source location and temporal release pattern are already known. Then the temporal release patterns are assumed to be unknown and the inverse system is used to recover the temporal variations of the releases. Identifying the release location is another task to be tested using the current HYSPLIT inverse system and the CAPTEX data. In addition, the model uncertainties obtained through HYSPLIT ensemble runs will be used to provide uncertainty analyses of the source estimation results.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.A31E0093C
- Keywords:
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- 0322 Constituent sources and sinks;
- ATMOSPHERIC COMPOSITION AND STRUCTUREDE: 3315 Data assimilation;
- ATMOSPHERIC PROCESSESDE: 0478 Pollution: urban;
- regional and global;
- BIOGEOSCIENCESDE: 3260 Inverse theory;
- MATHEMATICAL GEOPHYSICS