|
Titel |
LOSCAR: Long-term Ocean-atmosphere-Sediment CArbon cycle Reservoir Model v2.0.4 |
VerfasserIn |
R. E. Zeebe |
Medientyp |
Artikel
|
Sprache |
Englisch
|
ISSN |
1991-959X
|
Digitales Dokument |
URL |
Erschienen |
In: Geoscientific Model Development ; 5, no. 1 ; Nr. 5, no. 1 (2012-01-25), S.149-166 |
Datensatznummer |
250002297
|
Publikation (Nr.) |
copernicus.org/gmd-5-149-2012.pdf |
|
|
|
Zusammenfassung |
The LOSCAR model is designed to efficiently compute the partitioning
of carbon between ocean, atmosphere, and sediments on time scales
ranging from centuries to millions of years. While a variety
of computationally inexpensive carbon cycle models are already
available, many are missing a critical sediment component,
which is indispensable for long-term integrations. One of LOSCAR's
strengths is the coupling of ocean-atmosphere routines to a computationally
efficient sediment module. This allows, for instance, adequate computation
of CaCO3 dissolution, calcite compensation, and long-term carbon cycle
fluxes, including weathering of carbonate and silicate rocks.
The ocean component includes various biogeochemical tracers such as
total carbon, alkalinity, phosphate, oxygen, and stable carbon
isotopes. LOSCAR's configuration of ocean geometry is flexible and
allows for easy switching between modern and paleo-versions.
We have previously published applications of the model
tackling future projections of ocean chemistry and weathering,
pCO2 sensitivity
to carbon cycle perturbations throughout the Cenozoic, and
carbon/calcium cycling during the Paleocene-Eocene Thermal Maximum.
The focus of the present contribution is the detailed description
of the model including numerical architecture, processes and
parameterizations, tuning, and examples of input and output.
Typical CPU integration times of LOSCAR are of order seconds
for several thousand model years on current standard
desktop machines. The LOSCAR source code in C can be obtained
from the author by sending a request to
loscar.model@gmail.com. |
|
|
Teil von |
|
|
|
|
|
|