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| Titel |
qtcm 0.1.2: a Python implementation of the Neelin-Zeng Quasi-Equilibrium Tropical Circulation Model |
| VerfasserIn |
J. W.-B. Lin |
| 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 ; 2, no. 1 ; Nr. 2, no. 1 (2009-02-11), S.1-11 |
| Datensatznummer |
250000418
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| Publikation (Nr.) |
 copernicus.org/gmd-2-1-2009.pdf |
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| Zusammenfassung |
| Historically, climate models have been developed incrementally and
in compiled languages like Fortran. While the use of legacy compiled
languages results in fast, time-tested code, the resulting model
is limited in its modularity and cannot take advantage of functionality
available with modern computer languages. Here we describe an
effort at using the open-source, object-oriented language Python
to create more flexible climate models: the package qtcm,
a Python implementation of the intermediate-level Neelin-Zeng
Quasi-Equilibrium Tropical Circulation model (QTCM1) of the atmosphere.
The qtcm package retains the core numerics of QTCM1, written
in Fortran to optimize model performance, but uses Python structures
and utilities to wrap the QTCM1 Fortran routines and manage model
execution. The resulting "mixed language" modeling package allows
order and choice of subroutine execution to be altered at run time,
and model analysis and visualization to be integrated in interactively
with model execution at run time. This flexibility facilitates
more complex scientific analysis using less complex code than would
be possible using traditional languages alone, and provides tools
to transform the traditional "formulate hypothesis →
write and test code → run model → analyze
results" sequence into a feedback loop that can be executed
automatically by the computer. |
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