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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....
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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 |
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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 |
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