Agosta et al. (2019), The Cryosphere : data processing, analyses and figures
Description
Contact: Cécile Agosta (cecile.agosta@gmail.com)
My python code for creating figures and tables of the article:
(see the published version in The Cryosphere, 2019)
C. Agosta, C. Amory, C. Kittel, A. Orsi, V. Favier, H. Gallée, M.R. van den Broeke, J.T.M. Lenaerts , J.M. van Wessem, and X. Fettweis: Estimation of the Antarctic surface mass balance using MAR (1979–2015) and identification of dominant processes, The Cryosphere Discuss., [doi:10.5194/tc-2018-76](https://doi.org/10.5194/tc-2018-76), in review, 2018.
If you use those scripts, I would be happy to receive news of what you did with it: cecile.agosta@gmail.com. And if you find bugs (which is likely), write me too.
scripts:
1. antarctica-20c-smb.py
2. antarctica-20c-density.py
modules:
- curvature
- extract\_data
- extract\_dem
- projection
- read\_model
- read\_obs
- readwrite
- sectors
- shade
how to run it:
`ipython`
```
%run antarctica-20c-smb.py
%pylab
```
and then launch the function you want, e.g.:
```
fig1()
fig2()
fig3()
fig4()
fig5()
fig6()
table1()
table2()
tableS2()
figS3()
figS4()
figS5()
figS6()
figS7()
figS8()
figS9()
figS10()
figS11()
figS12()
```
and:
`ipython`
```
%run antarctica-20c-density.py
%pylab
figS1()
tableS1()
```
Files
antarctica-smb-20c.zip
Additional details
References
- Agosta et al. (2019) Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, https://doi.org/10.5194/tc-2018-76