• test_W5E5_quality.ipynb:
  • extract temperature data for Leh Glacier (4572 m a.s.l.) from W5E5 and ERA5 (monthly varying lapse rates),
  • extract temperature data from Gangles AWS (4009 m a.s.l.)
  • Apply lapse correction for AWS temperature and compare

• Leh_peak_water.ipynb:
  • Methodology documentation at OGGM Hydrological mass-balance output

• Leh_runoff.ipynb:
  • Methodology documentation at OGGM Hydrological mass-balance output

• glacial_irr_water.ipynb:
  • Methodology to find out area of land AIR runoff can irrigate. Assumptions are:
  • Leh glacier has a catchment area of 5 km2.
  • AIR median water supply is 11 m3
  • Total irrigation demand = AIR supply + Glacial supply - Potential Evapotranspiration (AIR + Glacier - PE)

the newest OGGM developer version has to be installed in order that MBsandbox works: e.g. do:

$ conda create --name env_mb
$ source activate env_mb
$ git clone  https://github.com/OGGM/oggm.git
$ cd oggm 
$ pip install -e .
$ cd .. 
$ git clone https://github.com/OGGM/massbalance-sandbox
$ cd massbalance-sandbox
$ pip install -e .

Test the installation via pytest while being in the massbalance-sandbox folder:

$ pytest .

(Attention, this can take a long time. As it downloads several climate datasets and example ensemble projections into the future. If you only want to use W5E5 climate data, run instead:

$ pytest -v -m "not no_w5e5"

The MBsandbox package can be imported in python by

>>> import MBsandbox