Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S.: code

Authors: Thomas, R. Quinn; McClure, Ryan P.; Moore, Tadhg M.; Woelmer, Whitney M.; Boettiger, Carl; Figueiredo, Renato J.; Hensley, Robert T.; +1 Authors

Code repository: https://github.com/rqthomas/NEON-forecast-code/tree/v1.1

doi: 10.5281/zenodo.6267617 , 10.5281/zenodo.6267616 , 10.5281/zenodo.6674487

Near-term forecasts of NEON lakes reveal gradients of environmental predictability across the U.S.: code

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Abstract

Github repository that contains code for generating and analyzing 35-day water temperature forecasts at six National Ecological Observatory Network lakes. The analysis period is from 2021-05-18 to 2021-10-22

This work was supported by NSF grants DEB-1926388, CNS-1737424, DBI-1933016, DBI-1933102, DBI-1942280, and DEB-1926050.

Related Organizations

Virginia Tech
United States
National Ecological Observatory Network
United States
University of California, Berkeley
United States
University of Florida
United States

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