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| Titel |
Coupling between the JULES land-surface scheme and the CCATT-BRAMS atmospheric chemistry model (JULES-CCATT-BRAMS1.0): applications to numerical weather forecasting and the CO2 budget in South America |
| VerfasserIn |
D. S. Moreira, S. R. Freitas, J. P. Bonatti, L. M. Mercado, N. M. É. Rosário, K. M. Longo, J. B. Miller, M. Gloor, L. V. Gatti |
| 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. 4 ; Nr. 6, no. 4 (2013-08-22), S.1243-1259 |
| Datensatznummer |
250084975
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| Publikation (Nr.) |
 copernicus.org/gmd-6-1243-2013.pdf |
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| Zusammenfassung |
| This article presents the coupling of the JULES surface model to the
CCATT-BRAMS atmospheric chemistry model. This new numerical system
is denominated JULES-CCATT-BRAMS. We demonstrate the performance of
this new model system in relation to several meteorological variables
and the CO2 mixing ratio over a large part of South America,
focusing on the Amazon basin. The evaluation was conducted for
two time periods, the wet (March) and dry (September) seasons of
2010. The model errors were calculated in relation to meteorological
observations at conventional stations in airports and automatic
stations. In addition, CO2 mixing ratios in the first model
level were compared with meteorological tower measurements
and vertical CO2 profiles were compared with observations
obtained with airborne instruments. The results of this
study show that the JULES-CCATT-BRAMS modeling system provided a
significant gain in performance for the considered atmospheric
fields relative to those simulated by the LEAF (version 3)
surface model originally employed by CCATT-BRAMS. In addition,
the new system significantly increases the ability to simulate
processes involving air–surface interactions, due to the ability
of JULES to simulate photosynthesis, respiration and dynamic
vegetation, among other processes. We also discuss a wide
range of numerical studies involving coupled atmospheric,
land surface and chemistry processes that could be
done with the system introduced here. Thus, this work
presents to the scientific community a free modeling tool,
with good performance in comparison with observational data
and reanalysis model data, at least for the region and time
period discussed here. Therefore, in principle, this model
is able to produce atmospheric hindcast/forecast simulations
at different spatial resolutions for any time period and
any region of the globe. |
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