Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth-Reference-Cited by-同舟云学术

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Process-based forecasts of lake water temperature and dissolved oxygen outperform null models, with variability over time and depth

Published:2024-09 Issue: Volume: Page:102825
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Woelmer Whitney M.,Thomas R. Quinn,Olsson Freya,Steele Bethel G.,Weathers Kathleen C.,Carey Cayelan C.

Funder

National Science Foundation

Publisher

Elsevier BV

Reference109 articles.

1. Permutation entropy: a natural complexity measure for time series;Bandt;Phys. Rev. Lett.,2002

2. Water quality assessment of lake water: a review;Bhateria;Sustain. Water Resour. Manage.,2016

3. Bridging the divide between ecological forecasts and environmental decision making;Bodner;Ecosphere,2021

4. Evaluating raw ensembles with the continuous ranked probability score;Bröcker;Q. J. R. Meteorol. Soc.,2012

5. Increasing the reliability of reliability diagrams;Bröcker;Weather Forecast.,2007

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