tREADME.md - pism - [fork] customized build of PISM, the parallel ice sheet model (tillflux branch)
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tREADME.md (1632B)
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1 std-greenland/hydro/
2 ===========
3
4 These subglacial hydrology runs are documented in the published paper
5
6 * E. Bueler and W. van Pelt (2015) Mass-conserving subglacial hydrology in the Parallel Ice Sheet Model version 0.6. Geoscientific Model Development 8 (6) pp. 1613–1635, [doi:10.5194/gmd-8-1613-2015](http://dx.doi.org/10.5194/gmd-8-1613-2015)
7
8 These runs start with input data from files generated one level up (directory
9 `examples/std-greenland/`), especially from script `gridseq.sh`. Thus these
10 runs are based on the well-documented runs in Chapter 1 of the PISM User's
11 Manual, specifically those in the "grid sequencing" section.
12
13 Do
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15 $ ln -s ../pism_Greenland_5km_v1.1.nc
16 $ ln -s ../Greenland_5km_v1.1.nc
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18 Run a grid sequencing like in Chapter 1 of the User's Manual to get
19 `g2km_gridseq.nc` (or similar). Then do
20
21 $ ./run-decoupled.sh 5 g2km_gridseq.nc # 5 year runs
22
23 This run produces six files: `routing-decoupled.nc`, `ex_routing-decoupled.nc`, `ts_routing-decoupled.nc`, `distributed-decoupled.nc`, `ex_distributed-decoupled.nc`, `ts_distributed-decoupled.nc`.
24
25 To generate map-plane figures from the paper do:
26
27 $ ln -s ../basemapfigs.py
28 $ ./allfigs.sh g2km_gridseq
29
30 The second script `allfigs.sh` calls other figure-generating
31 scripts: `basemapfigs.py`, `genGreenfig.sh`, `genscatfig.sh`,
32 and `showPvsW.py`. It also uses `mogrify` from the [Imagemagick](http://www.imagemagick.org/) tools.)
33
34 To show some additional hydrology time-series do
35
36 $ ./hydro-tsshow.py ts-routing.png ts_routing-decoupled.nc
37 $ ./hydro-tsshow.py ts-distributed.png ts_distributed-decoupled.nc
38