Quantifying winter water storage using artificial ice reservoirs (AIRs)
Notebooks
- 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
How to install!
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