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Bolin Centre for Climate Research
renoult-2020
Commits
3abcfd70
Commit
3abcfd70
authored
4 years ago
by
Martin Renoult
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Update README.md
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3abcfd70
Th
ese 5
code
s
can be ran to estimate climate sensitivity by using the tropical
Th
is
code can be ran to estimate climate sensitivity by using the tropical
temperature of the models participating in the Paleoclimate Modelling
Intercomparison Project (PMIP) and simulating either the Last Glacial Maximum
or the mid-Pliocene Warm Period.
...
...
@@ -12,15 +12,15 @@ U. Mikolajewicz, R. Ohgaito, X. Shi, Q. Zhang, T. Mauritsen, In Review. A Bayesi
emergent constraints: case studies of climate sensitivity with PMIP. Climate of
the Past.
The Bayesian
codes are
using the package PyMC3: Salvatier J., Wiecki T.V.,
The Bayesian
method is
using the package PyMC3: Salvatier J., Wiecki T.V.,
Fonnesbeck C. (2016) Probabilistic programming in Python using PyMC3.
PeerJ Computer Science 2:e55 DOI: 10.7717/peerj-cs.55.
See https://docs.pymc.io for installation.
The code
s are
using the package adjustText for esthetic plots. Please refer to
The code
is
using the package adjustText for esthetic plots. Please refer to
https://github.com/Phlya/adjustText for installation.
The conjugate prior approach is using the
cod
e spBayes. Please refer to the package description
The conjugate prior approach is using the
packag
e spBayes. Please refer to the package description
by Finley and Banerjee (2020) https://cran.r-project.org/web/packages/spBayes/spBayes.pdf
Other used packages are included in the standard Anaconda Distribution.
...
...
@@ -31,13 +31,13 @@ Department of Meteorology)
martin.renoult@misu.su.se
21/05/2020: - Corrected a mistake in the computation of the variance L80 of the Kalman Filter
-
Updated the
two
Bayesian
codes
with more annotations, removed some useless stuff
-
Removed the previous OLS
code
-
Added a more efficient OLS and prediction intervals
code
in R
-
Updated the Bayesian
approach
with more annotations, removed some useless stuff
-
Removed the previous OLS
python script
-
Added a more efficient OLS and prediction intervals
script
in R
-
Added a conjugate prior approach in R for the mPWP problem
23/12/2019: for macOS Catalina (10.15) users: There could be an issue coming from
PyMC3 3.8 and Theano (code
s are
running but performances are extremely reduced,
PyMC3 3.8 and Theano (code
is
running but performances are extremely reduced,
the right c++ compiler is not found).
It seems installing new command lines tools through Xcode might solve the issue.
The codes have been updated to the new PyMC3 3.8!
\ No newline at end of file
The code has been updated to the new PyMC3 3.8!
\ No newline at end of file
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