A science-based use of ensembles of opportunities for assessment and scenario studies
The multimodel ensemble exercise performed within the HTAP project context (Fiore et al., 2009) is used here as an example of how a <i>pre-inspection</i>, diagnosis and selection of an ensemble, can produce more reliable results. The procedure is contrasted with the often-used practice o...
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doaj-4ab7d8587abf4a1c87085a16f2788c632020-11-24T22:40:52ZengCopernicus PublicationsAtmospheric Chemistry and Physics1680-73161680-73242015-03-011552535254410.5194/acp-15-2535-2015A science-based use of ensembles of opportunities for assessment and scenario studiesE. Solazzo0S. Galmarini1European Commission, Joint Research Centre, Institute for Environment and Sustainability, Air and Climate Unit, Ispra, ItalyEuropean Commission, Joint Research Centre, Institute for Environment and Sustainability, Air and Climate Unit, Ispra, ItalyThe multimodel ensemble exercise performed within the HTAP project context (Fiore et al., 2009) is used here as an example of how a <i>pre-inspection</i>, diagnosis and selection of an ensemble, can produce more reliable results. The procedure is contrasted with the often-used practice of simply averaging model simulations, assuming different models produce independent results, and using the diversity of simulation as an illusory estimate of model uncertainty. It is further and more importantly demonstrated how conclusions can drastically change when future emission scenarios are analysed using an un-inspected ensemble. The HTAP multimodel ensemble analysis is only taken as an example of a widespread and common practice in air quality modelling.http://www.atmos-chem-phys.net/15/2535/2015/acp-15-2535-2015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
E. Solazzo S. Galmarini |
spellingShingle |
E. Solazzo S. Galmarini A science-based use of ensembles of opportunities for assessment and scenario studies Atmospheric Chemistry and Physics |
author_facet |
E. Solazzo S. Galmarini |
author_sort |
E. Solazzo |
title |
A science-based use of ensembles of opportunities for assessment and scenario studies |
title_short |
A science-based use of ensembles of opportunities for assessment and scenario studies |
title_full |
A science-based use of ensembles of opportunities for assessment and scenario studies |
title_fullStr |
A science-based use of ensembles of opportunities for assessment and scenario studies |
title_full_unstemmed |
A science-based use of ensembles of opportunities for assessment and scenario studies |
title_sort |
science-based use of ensembles of opportunities for assessment and scenario studies |
publisher |
Copernicus Publications |
series |
Atmospheric Chemistry and Physics |
issn |
1680-7316 1680-7324 |
publishDate |
2015-03-01 |
description |
The multimodel ensemble exercise performed within the HTAP project context
(Fiore et al., 2009) is used here as an example of how a <i>pre-inspection</i>, diagnosis and
selection of an ensemble, can produce more reliable results. The procedure
is contrasted with the often-used practice of simply averaging model
simulations, assuming different models produce independent results, and
using the diversity of simulation as an illusory estimate of model
uncertainty. It is further and more importantly demonstrated how conclusions
can drastically change when future emission scenarios are analysed using an
un-inspected ensemble. The HTAP multimodel ensemble analysis is only taken
as an example of a widespread and common practice in air quality modelling. |
url |
http://www.atmos-chem-phys.net/15/2535/2015/acp-15-2535-2015.pdf |
work_keys_str_mv |
AT esolazzo asciencebaseduseofensemblesofopportunitiesforassessmentandscenariostudies AT sgalmarini asciencebaseduseofensemblesofopportunitiesforassessmentandscenariostudies AT esolazzo sciencebaseduseofensemblesofopportunitiesforassessmentandscenariostudies AT sgalmarini sciencebaseduseofensemblesofopportunitiesforassessmentandscenariostudies |
_version_ |
1725703112734277632 |