مورد إلكتروني
Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox
العنوان: | Matlab/R workflows to assess critical choices in Global Sensitivity Analysis using the SAFE toolbox |
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المصدر: | ISSN: 2215-0161 |
بيانات النشر: | Elsevier 2019-09-30 |
تفاصيل مُضافة: | Noacco, V. Sarrazin, Fanny Pianosi, F. Wagener, T. |
نوع الوثيقة: | Electronic Resource |
مستخلص: | Global Sensitivity Analysis (GSA) is a set of statistical techniques to investigate the effects of the uncertainty in the input factors of a mathematical model on the model’s outputs. The value of GSA for the construction, evaluation, and improvement of earth system models is reviewed in a companion paper by Wagener and Pianosi (2019). The present paper focuses on the implementation of GSA and provides a set of workflow scripts to assess the critical choices that GSA users need to make before and while executing GSA. The workflows proposed here can be adopted by GSA users and easily adjusted to a range of GSA methods. We demonstrate how to interpret the outcomes resulting from these different choices and how to revise the choices to improve GSA quality, using a simple rainfall-runoff model as an example. We implement the workflows in the SAFE toolbox, a widely used open source software for GSA available in MATLAB and R.•The workflows aim to contribute to the dissemination of good practice in GSA applications.•The workflows are well-documented and reusable, as a way to ensure robust and reproducible computational science. |
مصطلحات الفهرس: | Earth system modelling, Sensitivity analysis, Input variability, Reproducibility, Uncertainty analysis, Output metric, Sample size, Simulation performance, Screening, Input interactions |
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الإتاحة: | Open access content. Open access content |
ملاحظة: | ISSN: 2215-0161 MethodsX 6;; 2258 - 2280 English |
أرقام أخرى: | DEPKD oai:ufz.de:22389 1406012043 |
المصدر المساهم: | PUBLIKATIONS-DATENBANK From OAIster®, provided by the OCLC Cooperative. |
رقم الأكسشن: | edsoai.on1406012043 |
قاعدة البيانات: | OAIster |
الوصف غير متاح. |