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CITATION.cff
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cff-version: 1.2.0
title: StatsBG
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Lee
family-names: Bardon
email: leerbardon@gmail.com
affiliation: University of Southern California
orcid: 'https://orcid.org/0000-0001-5470-903X'
identifiers:
- type: doi
value: 10.1029/2021GL093455
description: Code base associated with above DOI.
url: "https://github.com/leebardon/stats-biogeo-2021"
version: 1.0.0
date-released: 2021-11-18
abstract: >-
This package contains a series of analytical tools to
extract and data from output from MIT's Darwin marine
ecosystem model, embedded in MITgcm. It trains statistical
learning models (GAMs) on a subset of historical Darwin
ocean data, sampled to mimic real-world observational
data, and also on randomly-sampled datasets of various
sizes. It quantifies the effect of spatial bias and of
training set sample size on the resulting predictions.
Altogether, the program allows us to assess GAMs model
skill in predicting the virtual ocean's plankton
biogeography, both in present-day spatial extrapolations,
and by the end of the 21st century, as a response to
climate change.
license: MIT