Australian gridded chloride deposition-rate dataset.

Autor: Wilkins A; CSIRO Mineral Resources, Queensland Centre for Advanced Technologies, PO Box 883, Kenmore, Qld 4069, Australia., Crosbie R; CSIRO Land and Water, Locked Bag 2, Glen Osmond SA 5064, Australia., Louth-Robins T; CSIRO Land and Water, Locked Bag 2, Glen Osmond SA 5064, Australia., Davies P; CSIRO Land and Water, Locked Bag 2, Glen Osmond SA 5064, Australia., Raiber M; CSIRO Land and Water, GPO Box 2583, Brisbane, Qld 4001, Australia., Dawes W; CSIRO Land and Water, Private Bag 5, Wembley WA 6913, Australia., Gao L; CSIRO Land and Water, Locked Bag 2, Glen Osmond SA 5064, Australia.
Jazyk: angličtina
Zdroj: Data in brief [Data Brief] 2022 Apr 20; Vol. 42, pp. 108189. Date of Electronic Publication: 2022 Apr 20 (Print Publication: 2022).
DOI: 10.1016/j.dib.2022.108189
Abstrakt: 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.
Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(© 2022 The Author(s). Published by Elsevier Inc.)
Databáze: MEDLINE