Cargando…

Australian gridded chloride deposition-rate dataset

Chloride deposition-rate measurements at points within Australia are upscaled to the entire continent on a regular 0.05° grid. The upscaling uses a double-exponential correlation between deposition rate and distance to the coast, where the parameters in the double-exponential are spatially varying....

Descripción completa

Detalles Bibliográficos
Autores principales: Wilkins, Andy, Crosbie, Russell, Louth-Robins, Tristan, Davies, Phil, Raiber, Matthias, Dawes, Warrick, Gao, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065633/
https://www.ncbi.nlm.nih.gov/pubmed/35515987
http://dx.doi.org/10.1016/j.dib.2022.108189
_version_ 1784699626239033344
author Wilkins, Andy
Crosbie, Russell
Louth-Robins, Tristan
Davies, Phil
Raiber, Matthias
Dawes, Warrick
Gao, Lei
author_facet Wilkins, Andy
Crosbie, Russell
Louth-Robins, Tristan
Davies, Phil
Raiber, Matthias
Dawes, Warrick
Gao, Lei
author_sort Wilkins, Andy
collection PubMed
description Chloride deposition-rate measurements at points within Australia are upscaled to the entire continent on a regular 0.05° grid. The upscaling uses a double-exponential correlation between deposition rate and distance to the coast, where the parameters in the double-exponential are spatially varying. These parameters are estimated using least-squares with Tikhonov regularisation to ensure minimal spatial variability. A calibration-constrained, null-space Monte-Carlo analysis is used to quantify uncertainty in the prediction. The resulting dataset consists of the best-fit chloride deposition rates across Australia, as well as estimates of uncertainty. The dataset can be used for various purposes including: estimating groundwater recharge through the use of the chloride mass-balance method; catchment salt balance estimates; regional investigations of groundwater hydrochemistry; and, corrosion prediction.
format Online
Article
Text
id pubmed-9065633
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-90656332022-05-04 Australian gridded chloride deposition-rate dataset Wilkins, Andy Crosbie, Russell Louth-Robins, Tristan Davies, Phil Raiber, Matthias Dawes, Warrick Gao, Lei Data Brief Data Article Chloride deposition-rate measurements at points within Australia are upscaled to the entire continent on a regular 0.05° grid. The upscaling uses a double-exponential correlation between deposition rate and distance to the coast, where the parameters in the double-exponential are spatially varying. These parameters are estimated using least-squares with Tikhonov regularisation to ensure minimal spatial variability. A calibration-constrained, null-space Monte-Carlo analysis is used to quantify uncertainty in the prediction. The resulting dataset consists of the best-fit chloride deposition rates across Australia, as well as estimates of uncertainty. The dataset can be used for various purposes including: estimating groundwater recharge through the use of the chloride mass-balance method; catchment salt balance estimates; regional investigations of groundwater hydrochemistry; and, corrosion prediction. Elsevier 2022-04-20 /pmc/articles/PMC9065633/ /pubmed/35515987 http://dx.doi.org/10.1016/j.dib.2022.108189 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Wilkins, Andy
Crosbie, Russell
Louth-Robins, Tristan
Davies, Phil
Raiber, Matthias
Dawes, Warrick
Gao, Lei
Australian gridded chloride deposition-rate dataset
title Australian gridded chloride deposition-rate dataset
title_full Australian gridded chloride deposition-rate dataset
title_fullStr Australian gridded chloride deposition-rate dataset
title_full_unstemmed Australian gridded chloride deposition-rate dataset
title_short Australian gridded chloride deposition-rate dataset
title_sort australian gridded chloride deposition-rate dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9065633/
https://www.ncbi.nlm.nih.gov/pubmed/35515987
http://dx.doi.org/10.1016/j.dib.2022.108189
work_keys_str_mv AT wilkinsandy australiangriddedchloridedepositionratedataset
AT crosbierussell australiangriddedchloridedepositionratedataset
AT louthrobinstristan australiangriddedchloridedepositionratedataset
AT daviesphil australiangriddedchloridedepositionratedataset
AT raibermatthias australiangriddedchloridedepositionratedataset
AT daweswarrick australiangriddedchloridedepositionratedataset
AT gaolei australiangriddedchloridedepositionratedataset