Ogive optimization toolbox
version 1.01.07 (2.67 MB) by
Jakob Sievers
Ogive optimization toolbox for deriving surface fluxes in challenging environments
The Ogive optimization toolbox has been developed for the purpose of assisting researchers derive surface fluxes in challenging environments. The method, which was proposed in a recent paper by Sievers et al., (2015) (see reference below), is a comprehensive expansion of the traditional Eddy Covariance method, which allows researchers to filter out low-frequency influences and instrument noise/dampening of their results. Though the method is useful for all conditions it excels particularly in low-flux conditions, during sharply non-neutral atmospheric conditions and in environments characterized by topographical influence on wind patterns.
The toolbox contains a number of examples which are activated by running the main script with no input. Enclosed in the toolbox you will find a PDF manual which details how to initiate and use the toolbox on your own data. In addition, the manual describes ways of contacting the lead author for support, questions and recommendations.
Have fun trying this out and remember to cite the original paper in case you end up using the results in any publications.
Methodological paper:
Sievers, J., Papakyriakou, T., Larsen, S. E., Jammet, M. M., Rysgaard, S., Sejr, M. K., and Sørensen, L. L.: Estimating surface fluxes using eddy covariance and numerical ogive optimization, Atmos. Chem. Phys., 15, 2081-2103, 10.5194/acp-15-2081-2015, 2015.
Cite As
Jakob Sievers (2022). Ogive optimization toolbox (https://www.mathworks.com/matlabcentral/fileexchange/53545-ogive-optimization-toolbox), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Created with
R2019a
Compatible with any release
Platform Compatibility
Windows macOS LinuxCategories
Tags
Acknowledgements
Inspired by: fminsearchbnd, fminsearchcon, Differential Evolution, scriptsearch, RUNMEAN, arrow, MakeColorMap, Subaxis - Subplot, Kernel Smoothing Regression, ticks_format, rotation, Gaussfit
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.