https://github.com/noctiluc3nt/reddy

R-Package: A toolbox for analyzing eddy-covariance measurements
https://github.com/noctiluc3nt/reddy

eddy-covariance fluxes land-atmosphere-interactions meteorology r-programming turbulence

Last synced: about 1 month ago
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R-Package: A toolbox for analyzing eddy-covariance measurements

• Host: GitHub
• URL: https://github.com/noctiluc3nt/reddy
• Owner: noctiluc3nt
• License: gpl-3.0
• Created: 2023-07-02T20:09:58.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2025-10-17T08:30:05.000Z (6 months ago)
• Last Synced: 2025-10-17T11:10:05.992Z (6 months ago)
• Topics: eddy-covariance, fluxes, land-atmosphere-interactions, meteorology, r-programming, turbulence
• Language: R
• Homepage: https://noctiluc3nt.github.io/ec_analyze/
• Size: 2.64 MB
• Stars: 5
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Reddy: A toolbox for analyzing eddy-covariance measurements

[![doc](https://img.shields.io/badge/Reddy-documentation-blue)](https://noctiluc3nt.github.io/ec_analyze/)

[![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

[![Last Commit](https://img.shields.io/github/last-commit/noctiluc3nt/Reddy)](https://github.com/noctiluc3nt/Reddy)

## Installation

The package Reddy can be installed directly from github:

```

    devtools::install_git("https://github.com/noctiluc3nt/Reddy")

```

## Documentation, Examples and Usage

The [manual](https://github.com/noctiluc3nt/Reddy/tree/main/inst/manual/Reddy-manual.pdf) describes all functions and the [gitbook](https://noctiluc3nt.github.io/ec_analyze/) provides background information and examples how to execute the core functions of this package. The examples are also provided as [jupyter notebooks](https://github.com/noctiluc3nt/ec_analyze/tree/main/notebooks) (based on [example data](https://github.com/noctiluc3nt/ec_analyze/tree/main/data)).

## Functionality and Scripts

The Reddy package provides functions for the post-processing, analysis and evaluation of eddy-covariance measurements, which are described in the [manual](https://github.com/noctiluc3nt/Reddy/tree/main/inst/manual/Reddy-manual.pdf) and are divided into the following scripts:

- `anisotropy.R`: invariant analysis of the Reynolds stress tensor, calculation of turbulence anisotropy and visualization in a barycentric map

- `auxilliary.R`: collection of some useful generic functions for the evaluation (e.g., discrete binning, cross-correlation maximization)

- `constants.R`: constants used for calculations (internal)

- `diagnostics-meteorology.R`: calculation of "background-meteorology" quantities (e.g., clear-sky index, vapor pressure deficit, unit conversions of moisture variables)

- `diagnostics-topography.R`: calculation of topographic and surface properties (e.g. topographic position index, slope-based parameter, roughness length)

- `diagnostics-turbulence.R`: calculation of some standard turbulence diagnostics (e.g., friction velocity, TKE, turbulence intensity, stability parameter)

- `ec-processing.R`: collection of functions for post-processing and quality control of eddy-covariance measurements

- `ec-processing-routine.R`: an example for a post-processing and quality control routine of eddy-covariance measurements utilizing the functions in `ec-processing.R` with storing the final averaged output data in an external file

- `flux-footprint.R`: calculation and visualization of 1D and 2D flux footprint based on the parameterization from Kormann & Meixner, 2001 and Kljun et al., 2015

- `model-utils.R`: collection of function to post-process NWP model output (e.g. flux deaccumulation, conversion of sigma levels to physical height)

- `multiresolution-decomposition.R`: calculation and visualization of multiresolution decomposition (MRD) and derivation of a suggestion for a suitable averaging time following the MRD-based algorithm from Vickers & Mahrt, 2003

- `ogive.R`: calculation and visualization of ogives, i.e. cumulative distribution functions

- `parameterizations-of-turbulence.R`: collection of functions used to calculated bulk closures, flux-profile and flux-variance relations (e.g. Richardson number, eddy viscosity, eddy conductivity, scaling functions) used in turbulence parameterizations in numerical weather prediction and climate models

- `quadrant-analysis.R`: calculation and visualization of quadrant analysis to study coherent structures and their organization

- `spectrum.R`: calculation and visualization of frequency (temporal) and wavenumber (spatial) spectra, possibility to bin them to compare the dissipation rates with theoretically expected slopes

- `structure-functions.R`: calculation of structure functions and autocorrelation

- `surface-energy-balance.R`: visualization of surface energy balance, residual flux and closure ratio

**Any issues or comments?** Create an issue [here](https://github.com/noctiluc3nt/Reddy/issues).

Contact: laura.mack@geo.uio.no

## Literature

- Mack, L., Berntsen, T.K., Vercauteren, N., Pirk, N. (2024). Transfer Efficiency and Organization in Turbulent Transport over Alpine Tundra. Boundary-Layer Meteorology 190, 38. DOI: https://doi.org/10.1007/s10546-024-00879-5