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.
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.
- Matlab 2016b and MAC compatibility
A number of important updates and corrections.
Inspired by: fminsearchbnd, fminsearchcon, Differential Evolution, arrow, ticks_format, Subaxis - Subplot, RUNMEAN, MakeColorMap, Kernel Smoothing Regression, rotation, Gaussfit, recursive_scriptsearch
Create scripts with code, output, and formatted text in a single executable document.