dimmilena / pyclimdex

Implementation of Climdex indices in Python/xarray/dask

pyclimdex

Implementation of Climdex indices in Python/xarray/dask

Usage

1. Install from pypi:

pip install pyclimdex

or from GitHub:

pip install git+https://github.com/bgroenks96/pyclimdex.git

2. Import either temperature or precipitation indices

import climdex.precipitation as pdex

3. Initialize indices and compute them on your xarray DataArray or Dataset

   indices = pdex.indices(time_dim='time')
   # compute total monthly precipitation;
   # your data should be daily or sub-daily time scale
   ptot = indices.prcptot(data, period='1M')

That's it! You can find more info on the Climdex indices here.

pyclimdex currently supports the following indices for temperature and precipitation respectively:

Temperature

• Annual frost days
• Annual tropical nights
• Annual icing days
• Annual summer days
• Monthly max daily max temp (TXx)
• Monthly min daily max temp (TXn)
• Monthly max daily min temp (TNx)
• Monthly min daily min temp (TNx)
• Daily temperature range (DTR)

Precipitation

• Monthly 1-day precip (Rx1day)
• Monthly 5-day precip (Rx5day)
• Annual 10mm precip days
• Annual 20mm precip days
• Annual n mm precip days
• Total precipitation (variable time period)
• Simple intensity index (SDII)
• Consecutive dry days (CDD)
• Consecutive wet days (CWD)

Indices which rely on historical data are not currently supported. Contributions are welcome!