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| Titel |
Quantifying the prediction accuracy of a 1-D SVAT model at a range of ecosystems in the USA and Australia: evidence towards its use as a tool to study Earth's system interactions |
| VerfasserIn |
G. P. Petropoulos, M. R. North, G. Ireland, P. K. Srivastava, D. V. Rendall |
| 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 ; 8, no. 10 ; Nr. 8, no. 10 (2015-10-16), S.3257-3284 |
| Datensatznummer |
250116606
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| Publikation (Nr.) |
 copernicus.org/gmd-8-3257-2015.pdf |
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| Zusammenfassung |
This paper describes the validation of the SimSphere SVAT (Soil–Vegetation–Atmosphere Transfer) model conducted at
a range of US and
Australian ecosystem types. Specific focus was given to examining the models' ability
in predicting shortwave incoming solar radiation (Rg), net radiation
(Rnet), latent heat (LE), sensible heat (H), air temperature at 1.3 m
(Tair 1.3 m) and air temperature at 50 m (Tair 50 m). Model
predictions were compared against corresponding in situ measurements acquired for a
total of 72 selected days of the year 2011 obtained from eight sites belonging
to the AmeriFlux (USA) and OzFlux (Australia) monitoring networks. Selected
sites were representative of a variety of environmental, biome and climatic
conditions, to allow for the inclusion of contrasting conditions in the
model evaluation.
Overall, results showed a good agreement between the model predictions and
the in situ measurements, particularly so for the Rg, Rnet, Tair
1.3 m and Tair 50 m parameters. The simulated Rg parameter exhibited
a root mean square deviation (RMSD) within 25 % of the observed fluxes for
58 of the 72 selected days, whereas an RMSD within
~ 24 % of the observed fluxes was reported for the Rnet
parameter for all days of study (RMSD = 58.69 W m−2). A systematic
underestimation of Rg and Rnet (mean bias error (MBE) = −19.48
and −16.46 W m−2) was also found. Simulations for the
Tair 1.3 m and Tair 50 m showed good agreement with the
in situ observations, exhibiting RMSDs of 3.23 and
3.77 °C (within ~ 15 and ~ 18 %
of the observed) for all days of analysis, respectively. Comparable, yet
slightly less satisfactory simulation accuracies were exhibited for the H
and LE parameters (RMSDs = 38.47 and 55.06 W m−2, ~ 34 and ~ 28 % of the
observed). Highest simulation accuracies were obtained for the open woodland
savannah and mulga woodland sites for most of the compared parameters.
The Nash–Sutcliffe efficiency index for all parameters ranges from 0.720 to
0.998, suggesting a very good model representation of the observations.
To our knowledge, this study presents the most detailed evaluation of
SimSphere done so far, and the first validation of it conducted
in Australian ecosystem types. Findings are important and timely, given the
expanding use of the model both as an educational and research tool today.
This includes ongoing research by different space agencies examining its
synergistic use with Earth observation data towards the development of
global operational products. |
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