Monte Carlo Timeseries Fit Optimization

TheseMatlab codes usea Monte Carlo simulation to calculate an optimized age model for subglacial precipitate sampleswithin their individualage uncertainty bounds. They then calculatethe fit between the age model and a user-defined climatethreshold. Relevant data are provided. These codes were used t...

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Bibliographic Details
Main Author: Gavin Piccione
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2022
Subjects:
Monte Carlo
Timeseries
Antarc*
Antarctic
Ice Sheet
Online Access:https://doi.org/10.5281/zenodo.6968568
id ftzenodo:oai:zenodo.org:6968568
record_format openpolar
spelling ftzenodo:oai:zenodo.org:6968568 2024-09-15T17:41:54+00:00 Monte Carlo Timeseries Fit Optimization Gavin Piccione 2022-08-05 https://doi.org/10.5281/zenodo.6968568 unknown Zenodo https://doi.org/10.5281/zenodo.6968567 https://doi.org/10.5281/zenodo.6968568 oai:zenodo.org:6968568 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Monte Carlo Timeseries info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.696856810.5281/zenodo.6968567 2024-07-26T14:25:15Z TheseMatlab codes usea Monte Carlo simulation to calculate an optimized age model for subglacial precipitate sampleswithin their individualage uncertainty bounds. They then calculatethe fit between the age model and a user-defined climatethreshold. Relevant data are provided. These codes were used to run the calculations from the manuscript: Subglacial Precipitates Record Antarctic Ice Sheet Response to Pleistocene Millennial Climate Cyclesby Piccione et al. 2022, published in Nature Communications. All codes require a Matlab license. Codes were tested on Matlab version R2021a. Other/Unknown Material Antarc* Antarctic Ice Sheet Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic Monte Carlo
Timeseries
spellingShingle Monte Carlo
Timeseries
Gavin Piccione
Monte Carlo Timeseries Fit Optimization
topic_facet Monte Carlo
Timeseries
description TheseMatlab codes usea Monte Carlo simulation to calculate an optimized age model for subglacial precipitate sampleswithin their individualage uncertainty bounds. They then calculatethe fit between the age model and a user-defined climatethreshold. Relevant data are provided. These codes were used to run the calculations from the manuscript: Subglacial Precipitates Record Antarctic Ice Sheet Response to Pleistocene Millennial Climate Cyclesby Piccione et al. 2022, published in Nature Communications. All codes require a Matlab license. Codes were tested on Matlab version R2021a.
format Other/Unknown Material
author Gavin Piccione
author_facet Gavin Piccione
author_sort Gavin Piccione
title Monte Carlo Timeseries Fit Optimization
title_short Monte Carlo Timeseries Fit Optimization
title_full Monte Carlo Timeseries Fit Optimization
title_fullStr Monte Carlo Timeseries Fit Optimization
title_full_unstemmed Monte Carlo Timeseries Fit Optimization
title_sort monte carlo timeseries fit optimization
publisher Zenodo
publishDate 2022
url https://doi.org/10.5281/zenodo.6968568
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_relation https://doi.org/10.5281/zenodo.6968567
https://doi.org/10.5281/zenodo.6968568
oai:zenodo.org:6968568
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.696856810.5281/zenodo.6968567
_version_ 1810488192484245504

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