Model:KnickZone-Picker

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KnickZone-Picker

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Summary Contact Technical specs In/Output Process Testing Other Component info Also known as KZP Model type Tool Model part of larger framework Note on status model Date note status model Incorporated models or components: Spatial dimensions 1.5D, 2D Spatial extent Regional-Scale, Landscape-Scale, Watershed-Scale, Reach-Scale, Patch-Scale Model domain Terrestrial, Hydrology One-line model description Matlab-based scripts to extract topometrics for catchments and identify river knickpoints. Extended model description --- WHEN USING THIS CODE FOR YOUR RESEARCH, PLEASE CITE: --- Neely, A., Bookhagen B., Burbank, D.W. (2017): An automated knickzone selection algorithm (KZ-Picker) to analyze transient landscapes: Calibration and validation, JGR Earth Surface, doi:10.1002/2017JF004250 available at: http://onlinelibrary.wiley.com/doi/10.1002/2017JF004250/full --- The Matlab-based scripts extract several topometrics at the catchment scale based on log area/log slope and chi plots. Topometrics include: steepness index, theta, steepness index with adjusted theta for each drainage basin, specific stream power, curvature, local relief, and others. Detrended and normalized chi-squared plots are used to identify river knickpoints. Output is written as GeoTIFF files, shapefiles, and CSV files. Additional information, examples, and tutorials are provided on the github page. Keywords: Name Bodo Bookhagen Type of contact Model developer Institute / Organization University of Potsdam Postal address 1 Institute of Earth and Environmental Science Postal address 2 Karl-Liebknecht-Str. 24-25 Town / City Potsdam-Golm Postal code 14476 State Country Germany Email address bodo.bookhagen@uni-potsdam.de Phone Fax Supported platforms Unix, Linux, Mac OS, Windows Other platform Programming language Matlab Other program language Code optimized Multiple Processors Multiple processors implemented Nr of distributed processors Nr of shared processors Start year development 2015 Does model development still take place? Yes If above answer is no, provide end year model development Code development status When did you indicate the 'code development status'? Model availability As code Source code availability (Or provide future intension) Through web repository Source web address https://github.com/UP-RS-ESP/DEM-KZP Source csdms web address Program license type GPL v3 Program license type other Memory requirements depending on DEM size Typical run time depending on DEM size Describe input parameters All input parameters are defined in a well-documented and commented Matlab parameter file. Only a Digital Elevation Model, preferable in GeoTIFF format is needed. Input format ASCII, Binary Other input format GeoTIFF Describe output parameters Output data are written as GeoTIFF files, shapefiles, CSV files. Output format ASCII, Binary Other output format ESRI shapefiles, GeoTIFF Pre-processing software needed? No Describe pre-processing software Post-processing software needed? No Describe post-processing software Visualization software needed? No If above answer is yes Other visualization software Describe processes represented by the model Describe key physical parameters and equations Describe length scale and resolution constraints Describe time scale and resolution constraints Describe any numerical limitations and issues Describe available calibration data sets Example and validation datasets are available on the github page. Upload calibration data sets if available: Describe available test data sets Upload test data sets if available: Describe ideal data for testing Do you have current or future plans for collaborating with other researchers? Is there a manual available? No Upload manual if available: Model website if any Model forum / discussion board Comments Well documented Matlab Parameter file, HOWTO file for example catchment and detailed algorithm description with application in: Neely, A., Bookhagen, B., Burbank, D.W. (in review): Connecting Stream Transience and Hillslope Evolution: Insights from a Knickpoints Selection Algorithm applied to Santa Cruz Island, California, JGR-Earth Surface This part will be filled out by CSDMS staff OpenMI compliant Yes BMI compliant Yes WMT component No but possible PyMT component Is this a data component Can be coupled with:

Model info Authors Bodo Bookhagen Source code Go to external source code site Model citations Nr. of publications: -- Total citations: 0 h-index: --"--" is not a number. m-quotient: 0 QR-code Link to this page Other models by author KnickZone-Picker

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Featured publication(s)	Year	Model described	Type of Reference	Citations
Neely, A. B.; Bookhagen, B.; Burbank, D. W.; 2017. An automated knickzone selection algorithm (KZ-Picker) to analyze transient landscapes: Calibration and validation: Automated Approach to Mapping Knickzones. Journal of Geophysical Research: Earth Surface, 122, 1236–1261. 10.1002/2017JF004250 (View/edit entry)	2017	KnickZone-Picker	Related theory	53
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