@@ -40,8 +40,8 @@ the changes in glacier width with thickness changes.
4040 and routing algorithms. This was the single option in OGGM before v1.4.
4141 2. via binned **elevation bands flowlines **, which are computed by the binning and
4242 averaging of 2D slopes into a "bulk" flowline glacier. This is the method
43- first developed and applied by [Huss_Farinotti_2012 ]_. This is the standard method
44- since OGGM v1.6.
43+ first developed and applied by [Huss_Farinotti_2012 ]_. ** This is the standard method
44+ since OGGM v1.6. **
4545
4646
4747Both methods have strengths and weaknesses, which we discuss in more depth
@@ -317,16 +317,16 @@ References
317317----------
318318
319319.. [Huss_Farinotti_2012 ] Huss, M. and Farinotti, D.: Distributed ice thickness
320- and volume of all glaciers around the globe, J. Geophys. Res. Earth Surf.,
321- 117(4), F04010, doi:10.1029/2012JF002523, 2012.
320+ and volume of all glaciers around the globe, J. Geophys. Res. Earth Surf.,
321+ 117(4), F04010, doi:10.1029/2012JF002523, 2012.
322322
323323 .. [Huss_Hock_2015 ] Huss, M. and Hock, R.: A new model for global glacier
324- change and sea-level rise, Front. Earth Sci., 3(September), 1– 22,
325- doi:10.3389/feart.2015.00054, 2015.
324+ change and sea-level rise, Front. Earth Sci., 3(September), 1- 22,
325+ doi:10.3389/feart.2015.00054, 2015.
326326
327327 .. [Werder_et_al_2019 ] Werder, M. A., Huss, M., Paul, F., Dehecq, A. and
328- Farinotti, D.: A Bayesian ice thickness estimation model for large-scale
329- applications, J. Glaciol., 1– 16, doi:10.1017/jog.2019.93, 2019.
328+ Farinotti, D.: A Bayesian ice thickness estimation model for large-scale
329+ applications, J. Glaciol., 1- 16, doi:10.1017/jog.2019.93, 2019.
330330
331331 Implementation details
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