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.
Australian gridded chloride deposition-rate dataset.
澳大利亚网格化氯化物沉积率数据集
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作者:Wilkins Andy, Crosbie Russell, Louth-Robins Tristan, Davies Phil, Raiber Matthias, Dawes Warrick, Gao Lei
| 期刊: | Data in Brief | 影响因子: | 1.400 |
| 时间: | 2022 | 起止号: | 2022 Apr 20; 42:108189 |
| doi: | 10.1016/j.dib.2022.108189 | ||
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