Published December 21, 2021 | Version v1.1.0

Dataset and scripts for manuscript "Using Neural Network Ensembles to Separate Ocean Biogeochemical and Physical Drivers of Phytoplankton Biogeography in Earth System Models"

  • 1. Johns Hopkins University

Description

Please note: The title of this version contains an updated title for the manuscript compared to the previous version of this dataset. This is only due to title updates during the peer review process for the manuscript.

The zip file contains the scripts, functions, and source files for the manuscript titled "Using Neural Network Ensembles to Separate Ocean Biogeochemical and Physical Drivers of Phytoplankton Biogeography in Earth System Models." The manuscript has been submitted for peer review.

Please consult the README file for information on the specifications of the files.

These files may occasionally be updated to add annotations to the scripts to make them more user friendly and to correct any errors.

Notes

This research was supported by the National Science Foundation (Grant No. 1756568), the Department of Energy (Grant No. DE-SC0019344), and the National Oceanographic and Atmospheric Administration (Grant No. NA21OAR4310256).

Files

20211221_UsingNNEsToSeparateComponentsInESMs.zip

Files (3.2 GB)

Name Size
md5:9023665a4bb32c04ac2a652399dc04d9
3.2 GB Preview Download

Additional details

Related works

Is new version of
Dataset: 10.5281/zenodo.4774438 (DOI)

Funding

U.S. National Science Foundation
Collaborative Research: Southern Ocean Convection in climate models: controls and Impacts 1756568