A compact Earth system model.
OSCAR v2 is now discontinued. The last version is v2.4. See OSCAR v3 for the newest iteration.
Download a release. Read The Fine Manual.
OSCAR v2 has been developed and run mostly with Python 2.7.x. It relies on very common libraries: numpy
, matplotlib
, and a few scipy
functions.
The source code is provided firstly for transparency, and only secondly for dissemination. This means that it is provided as is, and no support of any kind is guaranteed. Hopefully, this will change in the future.
This version is the last update of OSCAR v2. It is meant to be as close to OSCAR v3.0 as possible.
- Added: the
mod_biomeV3
option to force biome aggregation to that of v3.0. - Added: the
mod_EHWPspeed
option that introduces further variations in the decay time of harvested wood products. In addition to thenormal
configuration, thefast
one scales the value oftau_HWP
so that 20% of the pool remains after 80% of the initial decay time (a rescale by ~0.5), and theslow
one scales the value oftau_HWP
so that 30% of the pool remains after 150% of the initial decay time (a rescale by ~1.25). - Removed: the
mod_EHWPfct
option, so that only exponential decay of harvested wood products is now possible. This slightly increases CO2 emissions from land-use change in a Monte Carlo run. - Removed: the dependency of
p_wet
on themod_LSNKcover
option. It is now the average of all possible configurations, which has very little effect on the simulated wetlands CH4 emissions.
- Added: a new parameter
p_HWP1_BB
quantifying how much of the harvested wood products in pool 1 are actually burnt in the open, and thus accounted for in non-CO2 anthropogenic biomass burning emissions. It is set to0.5
to roughly match present-day estimates. - Added: a new configuration based on
GISS-E2-R-TOMAS
to themod_O3Tradeff
option. - Removed: the
Laube-HL
configuration of themod_O3Sfracrel
option, since it makes little physical sense to have parameters specific to high latitudes in a global model like OSCAR. - Removed: the
Daniel2010-lin
configuration of themod_O3Snitrous
option, since a non-saturating effect of N2O onto stratospheric O3 lacked physical ground. - Fixed: the discretization of
r_HWP
(the response function for harvested wood products). The previous discretization caused delayed and therefore too low emissions. - Fixed: the value of
k_BC_adjust
for the optionmod_BCadjust == CSIRO
. This has very little impact on a Monte Carlo run. - Fixed: the value of
radeff_O3t
for the optionmod_O3Tradeff == mean_ACCMIP
. This has no impact on a Monte Carlo run. - Fixed: the default values of the
beta_npp0
andCO2_comp
parameters when isolating the urban biome, to preventNaN
from appearing during the simulation. - Fixed:
NaN
values no longer appear in thealpha_BB
parameters when isolating the urban biome.
- Added: permafrost carbon thaw and release, exactly as described by Gasser et al. (2018). This comes with a new CO2 atmospheric flux accounting for the oxidation of geologic CH4 released in the atmosphere.
- Fixed: an error in the pre-processing of the
AeroChem_ACCMIP
input data for theCSIRO-Mk360
configuration. This was causing biased atmospheric lifetimes for POA and BC aerosols under this configuration (and slightly biased ones under the averagemean-ACCMIP
configuration).
- Fixed: an error in the
f_pCO2
functions, causing a too efficient ocean carbon sink under high warming and high atmospheric CO2. - Fixed: an error in the
f_pH
function, causing unrealistic surface ocean pH changes.
Initial release on GitHub. Exact model used by Gasser et al. (2017).
v2.3 (partial) | : Gasser, T., M. Kechiar, P. Ciais, E. J. Burke, T. Kleinen, D. Zhu, Y. Huang, A. Ekici & M. Obersteiner. "Path-dependent reductions in CO2 emission budgets caused by permafrost carbon release." Nature Geoscience 11: 830-835 (2018). doi:10.1038/s41561-018-0227-0
v2.2 (full) | Gasser, T., P. Ciais, O. Boucher, Y. Quilcaille, M. Tortora, L. Bopp & D. Hauglustaine. "The compact Earth system model OSCAR v2.2: description and first results." Geoscientific Model Development 10: 271-319 (2017). doi:10.5194/gmd-10-271-2017