Mikhail Smilovic

Setting up the hydrological model CWatM with GitHub (A1)

Setting up the hydrological model CWatM with GitHub

Installing Python, virtual envs, GDAL, NumPy, SciPy, netCDF4, and pandas on Windows

macOS: Python, GDAL, GitHub Desktop, CWatM, CWatM-Earth-30min, Numpy, Scipy & NetCDF4 with miniconda

Start CWatM hydrological modelling the Danube basin (A2)

Creating CWatM initialisation files (A3)

Water circles with the hydrological model CWatM (A4)

Coding and pull requests with the hydrological model CWatM (A5)

GRACE satellites for Danube basin water storage changes, with Earth Engine

Comparing GRACE and CWatM for the Danube basin, observing water storage changes since 1901 (A7)

Evapotranspiration in the Danube basin since 1901, with Earth Engine and CWatM (A8)

Downloading river discharge data for a single station from the GRDC (A9)

How to use GRACE and Earth Engine to visualize changes in terrestrial water storage

How to install Python, GDAL, virtualenvwrapper & other packages on Windows

Crop suitability using the model GAEZ: Example of Sorghum in Niger

How to install GitHub desktop, CWatM, and troubleshoot multiple Python versions

Visualising crop area timeseries from CWatM (B5)

How to use GRACE and Earth Engine to look at changes in terrestrial water storage for a region

Getting CWatM with GitHub desktop