Ogive optimization toolbox

版本 1.1.7.2 (2.7 MB) 作者: Jakob Sievers
Ogive optimization toolbox for deriving surface fluxes in challenging environments
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更新时间 2023/12/13

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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.

引用格式

Jakob Sievers (2024). Ogive optimization toolbox (https://www.mathworks.com/matlabcentral/fileexchange/53545-ogive-optimization-toolbox), MATLAB Central File Exchange. 检索时间: .

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Ogive_optimization_1.1.7.2

Ogive_optimization_1.1.7.2/differentialevolution

Ogive_optimization_1.1.7.2/export_fig_ver0199

Ogive_optimization_1.1.7.2/fminsearchbnd

Ogive_optimization_1.1.7.2/fminsearchbnd/test

Ogive_optimization_1.1.7.2/tools

Ogive_optimization_1.1.7.2/tools/cm_and_cb_utilities

Ogive_optimization_1.1.7.2/tools/xlwrite

Ogive_optimization_1.1.7.2/fminsearchbnd/demo

版本 已发布 发行说明
1.1.7.2

Bugfixes
1.1.7.1

Bugfixes
1.01.07

Bugfixes
1.01.06

Bugfixes
1.01.05

Bugfixes
1.01.04

Bugfix
1.01.03

Bugfixes
1.01.02

Bugfixes
1.01.01

- Bugfixes
- Now scaling by median instead of mean when creating density maps. This removes the need for drop-off testing of data.
- Added graphical output illustrating causes for discarding datasets
1.01.00

- Matlab 2019a compatibility
- Bugfixes
1.00.09

Bugfixes
1.00.08

Bugfixes
1.00.07

See manual
1.00.06

- Dead dropbox link to test data updated
- Matlab 2018b compatibility
1.00.05

- 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
1.0.4.0

Bugfixes
1.0.3.0

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.
1.0.2.0

Bugfixes
1.0.1.0

No changes
1.0.0.0