{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["42"],"submitter":["Wilkins A"],"funding":["CSIRO","ACARP"],"pubmed_abstract":["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."],"journal":["Data in brief"],"pagination":["108189"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9065633"],"repository":["biostudies-literature"],"pubmed_title":["Australian gridded chloride deposition-rate dataset."],"pmcid":["PMC9065633"],"pubmed_authors":["Davies P","Louth-Robins T","Dawes W","Gao L","Crosbie R","Raiber M","Wilkins A"],"additional_accession":[]},"is_claimable":false,"name":"Australian gridded chloride deposition-rate dataset.","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.","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Jun","modification":"2025-04-18T12:12:01.95Z","creation":"2025-04-06T21:49:44.231Z"},"accession":"S-EPMC9065633","cross_references":{"pubmed":["35515987"],"doi":["10.1016/j.dib.2022.108189"]}}