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impactofbiasnonstationarity

Code for 'Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods' (Van de Velde et al., available as preprint at https://doi.org/10.5194/hess-2020-639)

https://github.com/h-cel/impactofbiasnonstationarity

Science Score: 44.0%

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Code for 'Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods' (Van de Velde et al., available as preprint at https://doi.org/10.5194/hess-2020-639)

Basic Info
  • Host: GitHub
  • Owner: h-cel
  • License: gpl-3.0
  • Language: MATLAB
  • Default Branch: main
  • Homepage:
  • Size: 83 KB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 2
Created over 5 years ago · Last pushed almost 4 years ago
Metadata Files
Readme License Citation

README.md

Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods

General overview

This is the code used for the calculations and evaluation in Van de Velde et al. (preprint available at https://hess.copernicus.org/preprints/hess-2020-639/#discussion). In this paper, 6 bias-adjusting methods are evaluated under climate change circumstances and compared with the change in bias between calibration and validation period. These 6 methods are QDM, mQDM, MBCn, MRQNBC, dOTC and R2D2.

Note that although this code is publicly available, the observed data used in the paper cannot be shared and has to be requested from the Royal Meteorological Institute in Uccle, Belgium.

Structure

In this code, you can find the following files. A documentation is included in each file.

Bias adjustment and evaluation:

  • a_loadClimateData
  • b_configurationBiasAdjustment
    • prepareBiasdata
    • BiasAdjustment
      • occAdj_SSR.m
      • occAdj_TDA.m
      • T
      • occAdj_Threshold.m
      • QDM
      • mQDM
      • MBCn
      • RandMatrix
      • EnDist
      • MRQNBC
    • QDM_all ¨ * coeff
    • coeffPeriodic
      • dOTC
    • DistEucl
    • NearestFrobenius
    • OptTransPlan
    • OTC
      • postprocessingSSR
  • c_BAEvaluation
    • TruncateObs
    • BA_Evaluation
    • case0
    • CDD
    • Discharge
    • fullfig
    • matload
    • PDMPieter
    • PRCPTOT
    • R10
    • R20
    • RMSE
    • RX1day
    • RX5day
    • SDII
    • SpellDist
    • TransProb
    • val2OyRP

Visualisation:

  • Visualisation

Data analysis:

  • BiasChangeAll
    • BiasChangeCalc
  • ClimaticChanges

Detailed overview of main files

Six main (or configuration) files are included in this code: * aloadClimateData: loads the climate data * bconfigurationBiasAdjustment: launches the bias adjustment * cBAEvaluation: calculates all indices and the RBO and RBMB values as used in the article * Visualisation: uses the RBO and RB_MB values calculated to make the graphs used in the article * BiasChangeAll: calculates the R index described in Section 2.4 * ClimaticChanges: data exploration of climatic changes, not used in the paper

Owner

  • Name: Hydro-Climate Extremes Lab – Ghent University
  • Login: h-cel
  • Kind: user
  • Location: Ghent, Belgium

Research on global (surface) hydrology, climate, ecology & land-atmosphere interactions using earth observation datacubes, climate and hydrological models.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Van de Velde"
  given-names: "Jorn"
  orcid: "https://orcid.org/0000-0002-1177-4744"
title: "Impact of bias nonstationarity: code"
preferred-citation:
  authors:
    - family-names: "Van de Velde"
      given-names: "Jorn"
      orcid: "https://orcid.org/0000-0002-1177-4744"
    - family-names: "Demuzere"
      given-names: "Matthias"
      orcid: "https://orcid.org/0000-0003-3237-4077"
    - family-names: "De Baets"
      given-names: "Bernard"
      orcid: "https://orcid.org/0000-0002-3876-620X"
    - family-names: "Verhoest"
      given-names: "Niko"
      orcid: "https://orcid.org/0000-0003-4116-8881"
  title: "Impact of bias nonstationarity on the performance of uni- andmultivariate bias-adjusting methods: a case study on data from Uccle, Belgium"
  type: article
  doi: https://doi.org/10.5194/hess-2020-639
version: 1.0.0
doi: https://doi.org/10.5281/zenodo.4247518
date-released: 2022-01-05
url: "https://github.com/h-cel/ImpactofBiasNonstationarity"

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