Australian gridded chloride deposition-rate dataset

Andy Wilkins; Russell Crosbie; Tristan Louth-Robins; Phil Davies; Matthias Raiber; Warrick Dawes; Lei Gao

doi:10.1016/j.dib.2022.108189

Australian gridded chloride deposition-rate dataset

Data Brief. 2022 Apr 20:42:108189. doi: 10.1016/j.dib.2022.108189. eCollection 2022 Jun.

Authors

Andy Wilkins¹, Russell Crosbie², Tristan Louth-Robins², Phil Davies², Matthias Raiber³, Warrick Dawes⁴, Lei Gao²

Affiliations

¹ CSIRO Mineral Resources, Queensland Centre for Advanced Technologies, PO Box 883, Kenmore, Qld 4069, Australia.
² CSIRO Land and Water, Locked Bag 2, Glen Osmond SA 5064, Australia.
³ CSIRO Land and Water, GPO Box 2583, Brisbane, Qld 4001, Australia.
⁴ CSIRO Land and Water, Private Bag 5, Wembley WA 6913, Australia.

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.

Keywords: Atmospheric chemistry; Chloride mass balance; Groundwater recharge; Hydrochemistry; Rainfall.