Efficient ensemble generation for uncertain correlated parameters in atmospheric chemical models: a case study for biogenic emissions from EURAD-IM version 5
<p>Atmospheric chemical forecasts heavily rely on various model parameters, which are often insufficiently known, such as emission rates and deposition velocities. However, a reliable estimation of resulting uncertainties with an ensemble of forecasts is impaired by the high dimensionality of...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-09-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/14/5583/2021/gmd-14-5583-2021.pdf |