Selective improvement of global datasets for the computation of locally relevant environmental indicators: A method based on global sensitivity analysis

Title
Selective improvement of global datasets for the computation of locally relevant environmental indicators: A method based on global sensitivity analysis
Authors
Keywords
Global sensitivity analysis, Global datasets, Environmental modelling, Decision-making
Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 96, Issue -, Pages 58-67
Publisher
Elsevier BV
Online
2017-07-05
DOI
10.1016/j.envsoft.2017.06.041

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation