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Ogive optimization toolbox

version 1.00.06 (3.1 MB) by Jakob Sievers
Ogive optimization toolbox for deriving surface fluxes in challenging environments


Updated 10 Feb 2019

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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 (2019). Ogive optimization toolbox (, MATLAB Central File Exchange. Retrieved .



- Dead dropbox link to test data updated
- Matlab 2018b compatibility


- Matlab 2016b and MAC compatibility
- Fully scripted runs
- Interactive timeline during visual inspection
- Excel/Matlab output of results
- Spike detection and signal offset improved
- Other: See Manual


A number of important updates and corrections.
Note: from this submission and on the OOT will attempt to determine whether a more recent version of the OOT has been submitted on this page, and will prompt the user to download if this is the case.


No changes

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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