Efficient ensemble generation for uncertain correlated parameters in atmospheric chemical models: a case study for biogenic emissions from EURAD-IM version 5
Annika Vogel and Hendrik Elbern
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Total article views: 1,160 (including HTML, PDF, and XML)
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Viewed (geographical distribution)
Total article views: 1,893 (including HTML, PDF, and XML)
Thereof 1,683 with geography defined
and 210 with unknown origin.
Total article views: 1,160 (including HTML, PDF, and XML)
Thereof 1,065 with geography defined
and 95 with unknown origin.
Total article views: 733 (including HTML, PDF, and XML)
Thereof 618 with geography defined
and 115 with unknown origin.
While atmospheric chemical forecasts rely on uncertain model parameters, their huge dimensions hamper an efficient uncertainty estimation. This study presents a novel approach to efficiently sample these uncertainties by extracting dominant dependencies and correlations. Applying the algorithm to biogenic emissions, their uncertainties can be estimated from a low number of dominant components. This states the capability of an efficient treatment of parameter uncertainties in atmospheric models.
While atmospheric chemical forecasts rely on uncertain model parameters, their huge dimensions...