Skip to content

Data analysis and modelling used in Vanderkelen et al., 2018a and b

License

Notifications You must be signed in to change notification settings

Ivanderkelen/2018_Vanderkelen_etal_HESS_ab

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

2018_Vanderkelen_et_al_ab

Data analysis and modelling used in Vanderkelen et al., 2018 a and b.

DOI

For users

This repository includes the processing scripts of the Water Balance Model (WBM) for Lake Victoria. The main analysis is performed in Matlab 2017b. The four different components of the repository are described below.

1. WBmodel

This folder contains all the necessary scripts to run the WBM forced by observations as done in Vanderkelen et al. (2018a) and evaluation, historical and future simulations of the COordinated Regional Downscaling EXperiment (CORDEX) as done in Vanderkelen et al. (2018b). It inlcudes the preprocessing scripts for the observational WBM. The preprocessing scripts for the evaluation, historical and future CORDEX simulations can be found in the folder calculateWBterms. Preprocessed data necessary to direcly run the model is available upon request. This data includes the calculated WBterms, lake levels and outflow for the observational, evaluation, historical and future runs; shapefiles of the lake and the data used in the CN method.

Run the WB model in the main.m script. Here, users can also choose different options for the model (e.g. type of simulations, dam management scenario etc.)

2. calculateWBterms

Folder containing the scripts to calculate the WB terms for the CORDEX evaluation, historical and future simulations.

3. biascorrection

Folder containing scripts in the R language to apply a bias correction on the calculated WBterms in matlab. First, the .mat files are converted to .csv through the matlab script bc_preprocess.m which can be found in the biascorrection folder. Then, by running the PFT_lin.R or QUANT.R scripts, a linear parametric bias correction or a quantile mapping bias correction method is applied on the WB terms using the R package qmap. For details on these methods, see Vanderkelen et al., 2018b; section 2.4.

4. plotting

This folder contains all the scripts used for plotting the figures in Vanderkelen et al., 2018 a and b. For an overview, open main_plotting.m.

Versions

Version 0.1.0 - April 2018

License

This project is licensed under the MIT License. See also the LICENSE file.

References

Vanderkelen, I., van Lipzig, N. P. M., and Thiery, W.: Modelling the water balance of Lake Victoria (East Africa) – Part 1: Observational analysis, Hydrol. Hydrol. Earth Syst. Sci., 22, 5509–5525, 2018. https://doi.org/10.5194/hess-22-5509-2018.

Vanderkelen, I., van Lipzig, N. P. M., and Thiery, W.: Modelling the water balance of Lake Victoria (East Africa), part 2: future projections, Hydrol. Earth Syst. Sci., 22, 5527–5549, 2018.L https://doi.org/10.5194/hess-22-5527-2018.

About

Data analysis and modelling used in Vanderkelen et al., 2018a and b

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • MATLAB 81.2%
  • R 11.9%
  • M 6.9%