Making The Most Out Of A Hydrological Model Dataset: Sensitivity Analyses To Open The Model Black-Box (Data And Code)

This is "data and code" repository for the Water Resources Research Article 2017WR020401 by Borgonovo et al. (2017): "Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box". Each sub-directory contains the Matlab or R scripts to reproduce all paper plots. Note, that the data of this repository (i.e. under ./data_input ) are identical to the data analysed by Rakovec et al. (2014). References: Borgonovo, E., Lu, X., Plischke, E., Rakovec, O. and Hill, M. C. (2017), Making the most out of a hydrological model data set: Sensitivity analyses to open the model black-box. Water Resour. Res.. Accepted Author Manuscript. doi:10.1002/2017WR020767 Rakovec, O., M. C. Hill, M. P. Clark, A. H. Weerts, A. J. Teuling, and R. Uijlenhoet (2014), Distributed Evaluation of Local Sensitivity Analysis (DELSA), with application to hydrologic models, Water Resour. Res., 50, 409–426, doi:10.1002/2013WR014063.本仓库为Borgonovo等人（2017）发表于《水资源研究（Water Resources Research）》的论文2017WR020401《充分利用水文模型数据集：通过敏感性分析揭开模型黑箱的面纱》配套的数据与代码仓库。每个子目录均配备可复现论文全部图表的Matlab或R脚本。 请注意，本仓库./data_input路径下的数据集，与Rakovec等人（2014）所采用的分析数据集完全一致。 参考文献： 1. Borgonovo, E., Lu, X., Plischke, E., Rakovec, O. 与 Hill, M. C. (2017)，《充分利用水文模型数据集：通过敏感性分析揭开模型黑箱的面纱》，*Water Resour. Res.*，已接收作者稿，doi:10.1002/2017WR020767 2. Rakovec, O., Hill, M. C., Clark, M. P., Weerts, A. H., Teuling, A. J. 与 Uijlenhoet, R. (2014)，《局域敏感性分析的分布式评估（Distributed Evaluation of Local Sensitivity Analysis, DELSA）及其在水文模型中的应用》，*Water Resour. Res.*，50卷，第409–426页，doi:10.1002/2013WR014063