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A list of all pages that have property "Additional comments model" with value "Questionnaire is filled out by Albert Kettner". Since there have been only a few results, also nearby values are displayed.

Showing below up to 11 results starting with #1.

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List of results

  • Model:FUNWAVE  + (NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE: http://chinacat.coastal.udel.edu/programs/funwave/funwave.html)
  • Model:DHSVM  + (NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE: http://www.hydro.washington.edu/Lettenmaier/Models/DHSVM/index.shtml)
  • Model:WACCM-CARMA  + (NOTICE: REGISTRATION IS NEEDED TO RECEIVE THE SOURCE CODE, SEND THE OWNER A LETTER THAT YOU ARE INTERESTED IN THE SOURCE CODE: http://www.cesm.ucar.edu/models/ccsm4.0/)
  • Model:CAM-CARMA  + (NOTICE: code is free available through CCSM UCAR website: http://www.ccsm.ucar.edu/models/atm-cam/ No need to register)
  • Model:Sedflux  + (No)
  • Model:HEBEM  + (None)
  • Model:MITgcm  + (Notice: Code is freely available through the following site: http://mitgcm.org/ No need to register)
  • Model:SWAN  + (Notice: SWAN can be freely downloaded from the next site: https://sourceforge.net/projects/swanmodel/files/swan/ No registration is needed.)
  • Model:GNE  + (Particulates model is regression-based, whParticulates model is regression-based, while dissolved model is more conceptual-mechanistic. Conceptual framework and data sets in development since 2002. Integrated modeling code framework (GNE) developed in 2007; currently tested on Windows only, but can be easily adapted to other platforms. can be easily adapted to other platforms.)
  • Model:Dakotathon  + (Please send any questions or comments to mark.piper@colorado.edu or csdmssupport@colorado.edu.)
  • Model:QUAL2K  + (Questionnaire is filled out by Albert Kettner)
  • Model:1D Particle-Based Hillslope Evolution Model  + (Questions which arise about the module, the model it implements, and the associated theory, may be addressed by the preprint available at https://arxiv.org/abs/1801.02810.)
  • Model:RCPWAVE  + (RCPWAVE is distributed as a component of the Coastal Engineering Design and Analysis System (CEDAS). http://chl.erdc.usace.army.mil/cedas)
  • Model:DeltaClassification  + (Requirements To run these codes, you will Requirements</br>To run these codes, you will need the following software:</br></br>• Python 2.7 or earlier (not compatible with Python 3)</br></br>The following Python packages are also required:</br>• matplotlib</br>• scipy</br>• numpy</br>• cPickle</br>• osgeo</br>• fiona</br>• shapely</br>• utilities</br>• sklearn</br>• seaborn</br>• clusterpy</br>• itertools</br>• pandas</br>• pysal</br>• collections</br></br>What input is required?</br></br>To run this code, the following shape files are required:</br></br>• network shapefile, containing the river network extracted from satellite imagery</br>• island shapefile, containing the land masses or islands of the delta</br>• patch shapefile, containing the outline of channels</br></br>What does the code do?</br></br>The file all.ipynb contains codes run the analysis. From start to finish, the Jupyter Notebook contains code blocks that:</br></br>• loads in the shapefiles</br>• calculate the parameters for the network that both surround and drain the islands</br>• calculate the base metrics (e.g. perimeter, area, solidity, aspect ratio...)</br>• calculates maximum distance from the island center to the nearest water body</br>• estimates minimum, average and maximum widths of all network channels</br>• evaluates the fractal dimension of each delta island</br>• creates shapefiles based on the metrics calculated earlier in the code</br>• saves all metrics to an output file</br>• generates PCA and GeoSOM results from the island and channel metrics</br>• plots the U-matrix and dendrogram based on the GeoSOM resultsand dendrogram based on the GeoSOM results)
  • Model:Area-Slope Equation Calculator  + (Run this model via MATLAB)
  • Model:SBEACH  + (SBEACH is distributed as a component of the Coastal Engineering Design and Analysis System (CEDAS).)
  • Model:LuSS  + (See ReadMe.md at https://github.com/nathandbrown/LuSS for more details.)
  • Model:SNOWPACK  + (See also: https://models.slf.ch/docserver/snowpack/html/)
  • Model:GLUDM  + (See model description, validation and analSee model description, validation and analysis in:</br>Haney, N., Cohen, S. (2015), Predicting 21st century global agricultural land use with a spatially and temporally explicit regression-based model. Applied Geography, 62: 366-376. </br></br>http://sdml.ua.edu/publications/66-376. http://sdml.ua.edu/publications/)
  • Model:RiverSynth  + (See users manual and publication: Brown, See users manual and publication:</br></br>Brown, RA, Pasternack, GB, Wallender, WW. 2013. Synthetic River Valleys: Creating Prescribed Topography for Form-Process Inquiry and River Rehabilitation Design. Geomorphology 214: 40–55. http://dx.doi.org/10.1016/j.geomorph.2014.02.025/dx.doi.org/10.1016/j.geomorph.2014.02.025)
  • Model:FwDET  + (See: Version 2.0: Cohen et al. (2019), TheSee:</br>Version 2.0: Cohen et al. (2019), The Floodwater Depth Estimation Tool (FwDET v2.0) for Improved Remote Sensing Analysis of Coastal Flooding. Natural Hazards and Earth System Sciences (NHESS)</br> </br>Version 1.0: Cohen, S., G. R. Brakenridge, A. Kettner, B. Bates, J. Nelson, R. McDonald, Y. Huang, D. Munasinghe, and J. Zhang (2017), Estimating Floodwater Depths from Flood Inundation Maps and Topography. Journal of the American Water Resources Association (JAWRA):1–12. Water Resources Association (JAWRA):1–12.)