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| Titel |
How should sparse marine in situ measurements be compared to a continuous model: an example |
| VerfasserIn |
L. Mora, M. Butenschön, J. I. Allen |
| 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 ; 6, no. 2 ; Nr. 6, no. 2 (2013-04-25), S.533-548 |
| Datensatznummer |
250017807
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| Publikation (Nr.) |
 copernicus.org/gmd-6-533-2013.pdf |
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| Zusammenfassung |
| This work demonstrates an example of the importance of an adequate method to
sub-sample model results when comparing with in situ measurements. A test of
model skill was performed by employing a point-to-point method to compare
a multi-decadal hindcast against a sparse, unevenly distributed historic in
situ dataset. The point-to-point method masked out all hindcast cells that
did not have a corresponding in situ measurement in order to match each in
situ measurement against its most similar cell from the model. The
application of the point-to-point method showed that the model was successful
at reproducing the inter-annual variability of the in situ datasets.
Furthermore, this success was not immediately apparent when the measurements
were aggregated to regional averages. Time series, data density and target
diagrams were employed to illustrate the impact of switching from the
regional average method to the point-to-point method. The comparison based on
regional averages gave significantly different and sometimes contradicting
results that could lead to erroneous conclusions on the model performance.
Furthermore, the point-to-point technique is a more correct method to exploit
sparse uneven in situ data while compensating for the variability of its
sampling. We therefore recommend that researchers take into account for the
limitations of the in situ datasets and process the model to resemble the
data as much as possible. |
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