Soil Water Index (SWI) computation
Project description
pyswi
Python package allowing computation of the Soil Water Index from surface soil moisture observations by means of exponential filter.
Description
The package includes the following features:
- SWI time series calculation and error propagation from SSM time series
a recursive approach to SWI and its noise with calculation routines in Cython
an equivalent SWI calculation in Python with an exponential-filter-based error propagation scheme
- Recursive SWI approach to calculate SWI for a single or a set of T-values in near-real time
also Weighted calculation of the SWI, allowing for custom weight assignment to individual observations
iterative_storage
Storage of iteration data between processing runs.
Description
In a process that works iteratively and needs to store some data between processing runs, the classes in this package can be used to store that data as netCDF files of any format. The main functionality of this package is in the building of the storage filenames and in reading the correct iteration data from the disk when the process is started again.
Installation
This package should be installable through pip:
pip install pyswi
Note
This project has been set up using PyScaffold 3.2.3. For details and usage information on PyScaffold see https://pyscaffold.org/.
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