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This package present methods used to compute meaningful physical properties in aquatic physics.

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PyLake

This work present methods used to compute meaningful physical properties in aquatic sciences.

The methods are based on Xarray. Multi-dimensional large time-series array are compatible if an xarray is passed as input.

Algorithms and documentation are sometimes inspired by LakeAnalyzer in R (https://github.com/GLEON/rLakeAnalyzer)

Implemented methods:

  • Thermocline
  • Mixed layer
  • Metalimnion extent (epilimnion and hypolimnion depth)
  • Wedderburn Number
  • Schmidt stability
  • Heat content
  • Seiche periode
  • Lake Number
  • Brunt-Vaisala frequency
  • Average layer temperature
  • Monin-Obhukov

Installation

Pylake use Dask which require a python version >=3.8

pip install pylake

Usage

Have a look in the notebooks, an example is provided

import pylake
import numpy as np

Temp = np.array([14.3,14,12.1,10,9.7,9.5,6,5])
depth = np.array([1,2,3,4,5,6,7,8])
epilimnion, hypolimnion = pylake.metalimnion(temp, depth)

Work in progress

Warning messages Lake metabolizer is being implemented.

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This package present methods used to compute meaningful physical properties in aquatic physics.

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