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| Titel |
SimSphere model sensitivity analysis towards establishing its use for deriving key parameters characterising land surface interactions |
| VerfasserIn |
G. P. Petropoulos, H. M. Griffiths, T. N. Carlson, P. Ioannou-Katidis, T. Holt |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 7, no. 5 ; Nr. 7, no. 5 (2014-09-02), S.1873-1887 |
| Datensatznummer |
250115709
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| Publikation (Nr.) |
 copernicus.org/gmd-7-1873-2014.pdf |
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| Zusammenfassung |
| Being able to accurately estimate parameters characterising land surface
interactions is currently a key scientific priority due to their central
role in the Earth's global energy and water cycle. To this end, some
approaches have been based on utilising the synergies between land surface
models and Earth observation (EO) data to retrieve relevant parameters. One
such model is SimSphere, the use of which is currently expanding, either as
a stand-alone application or synergistically with EO data. The present
study
aimed at exploring the effect of changing the atmospheric sounding profile on
the sensitivity of key variables predicted by this model assuming different
probability distribution functions (PDFs) for its inputs/outputs. To satisfy
this objective and to ensure consistency and comparability to analogous
studies conducted previously on the model, a sophisticated, cutting-edge
sensitivity analysis (SA) method adopting Bayesian theory was implemented
on SimSphere. Our results did not show dramatic changes in the nature
or ranking of influential model inputs in comparison to previous studies.
Model outputs examined using SA were sensitive to a small number of the
inputs; a significant amount of first-order interactions between the inputs
was also found, suggesting strong model coherence. Results showed
that the assumption of different PDFs for the model inputs/outputs did not
have an important bearing on mapping the most responsive model inputs and
interactions, but only the absolute SA measures. This study extends our
understanding of SimSphere's structure and further establishes its coherence
and correspondence to that of a natural system's behaviour. Consequently,
the present work represents a significant step forward in the global efforts
on SimSphere verification, especially those focusing on the
development of global operational products from the model synergy
with EO data. |
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