Index Catalog // Deep Blue Data

Need language around using Deep Blue Data as a repository for your NIH data sharing plan? See Data Sharing Boilerplate .

Start Over

Filtering by: Creator Chen, Hongfan Creator van der Holst, Bart Language Julia

Results for "Global Sensitivity Analysis and Uncertainty Quantification for Background Solar Wind using the Alfvén Wave Solar Atmosphere Model"

Creator:

Jivani, Aniket, Sachdeva, Nishtha, Huang, Zhenguang, Chen, Yang, van der Holst, Bart, Manchester, Ward, Iong, Daniel, Chen, Hongfan, Zou, Shasha, Huan, Xun, and Toth, Gabor

Description:

In this work, we perform Global Sensitivity Analysis (GSA) for the background solar wind in order to quantify contributions from uncertainty of different model parameters to the variability of in-situ solar wind speed and density at 1au, both of which have a major impact on CME propagation and strength. Scripts written in the Julia language are used to build the PCE and calculate the sensitivity results. Data is available in csv, NetCDF and JLD files. A `Project.toml` file is included to activate and install all required dependencies (See README for details).

Keyword:

Uncertainty Quantification, Space Weather, and Global Sensitivity Analysis

Discipline:

Engineering