Estimating the Decision-making Value of Information Obtained from Surface Observations
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Regulatory air quality management as well as scientific understanding of air quality processes and models relies heavily on observation systems. Observations can be used through collective decision metrics, such as population health metrics. In this study, the adjoint of gas-phase CMAQ is implemented to relate ozone (O3) decision metrics (e.g. short-term ozone mortality) to the information value added by the observations at different locations across North America. Furthermore, a spatial interpolation (i.e. Kriging method) is conducted to account for uncertainties in the estimated concentrations. Finally, maps of information content are produced to illustrate how observations of ozone at various locations can help constrain decision metrics.
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Copyright © 2014 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2014
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saeednooran-estimatingthedecisionmakingvalueofinformation.pdf | 2023-05-04 | Public | Download |