Simple weather simulation
=========================
### Model characteristic
Gaussian grid 192x98 cells
Heat, atmospheric water mass transfer provided by wind
Winds are modelled using geostrophic equation. Only geopotential height and coriolis effect affect them
Solar energy heats the air and evaporates water from earth/ocean surface
Evaporation coefficient for each cell is constant: 0.3 for land and 1.0 for sea
Earth energy loss to space per cell is a constant
Ocean water movement is not considered
### Build
stack build
### Requirements
install python3 modules: netcdf4, numpy
optional modules for data plotting: matplotlib, basemap
### Import data
python3 scripts/import_data.py data
this will download meteostations, heights and land-sea mask data and put them into "data" dir
### Run
stack exec dewpoint-exe -- --help
to see list of available options.
For example command line:
stack exec -- dewpoint-exe -s "SIN,SYD" -i 5 -d '2016-01-01' -p 60
will run simulation with 5 minutes step, start date 1st Jan 2016 and output interval 60minutes
(every 12th iteration) and output weather at stations : SYD and SIN
use -v,--verbose flag to output extended weather information (useful for debugging)
visualizing data might be very helpful when debugging:
stack exec -- dewpoint-exe -s "SIN,SYD" -i 5 -p 60 -o plot | scripts/plot_data.py
will visualise surface temperature
stack exec -- dewpoint-exe -s "SIN,SYD" -i 5 -p 60 -o plot | scripts/plot_data.py --winds
will add winds vector field to the plot
### Notes
Simulation become more or less stable after 15 calendar days