Abstract
An ensemble Kalman filter data assimilation system has been coupled to the Danish Eulerian Hemispheric Model (DEHM), a hemispheric-scale, offline, chemistry-transport model. We present an evaluation of the performance of the assimilation system in the framework of an Observing System Simulation Experiment (OSSE). This involves assimilating “pseudo-observations” derived from a reference simulation, and then comparing the assimilation run with the reference run. We focus on nitrogen dioxide and the pseudo-observations are generated to mimic the spatial/temporal pattern of retrievals from the Ozone Monitoring Instrument.
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Acknowledgments
This work was funded by a program grant from the Danish Council for Technology and Innovation: Effects of climate changes on ecosystems – a global comparative analysis. We are grateful to the ECMWF for making the MACC reanalysis freely available. We acknowledge the free use of the tropospheric NO2 column data from the OMI sensor from www.temis.nl.
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Silver, J.D., Christensen, J.H., Kahnert, M., Robertson, L., Brandt, J. (2014). Evaluation of a Chemical Data Assimilation System. In: Steyn, D., Mathur, R. (eds) Air Pollution Modeling and its Application XXIII. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-04379-1_72
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DOI: https://doi.org/10.1007/978-3-319-04379-1_72
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