Published January 24, 2019 | Version v1

Agosta et al. (2019), The Cryosphere : data processing, analyses and figures

Authors/Creators

  • 1. Université de Liège, F.R.S.-FNRS, Belgique

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

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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