Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration

Published 2016 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration
Authors
Keywords
Calibration, Latin hypercube sampling, Model uncertainty, Simplex optimization method, WARM
Journal
ECOLOGICAL MODELLING
Volume 328, Issue -, Pages 72-77
Publisher
Elsevier BV
Online
2016-03-09
DOI
10.1016/j.ecolmodel.2016.02.013

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

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
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.