Data

Australian chloride deposition rate (1937-2021)

Commonwealth Scientific and Industrial Research Organisation
Wilkins, Andy ; Crosbie, Russell ; Louth-Robins, Tristan ; Davies, Philip ; Raiber, Matthias ; Dawes, Warrick ; Gao, Lei
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/zkr0-fw05&rft.title=Australian chloride deposition rate (1937-2021)&rft.identifier=https://doi.org/10.25919/zkr0-fw05&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Chloride deposition (kg/hectare/year) gridded at a resolution of 0.05° x 0.05° across Australia, in GeoTiff format.\n\nThis collection supersedes https://doi.org/10.4225/08/545BEE54CD4FC\n\nAlso included are results from a Monte-Carlo analysis indicating the uncertainty in the chloride deposition: standard deviation and skewness of deposition and log10(deposition), and 5th and 95th percentile of deposition, all in GeoTiff format. In these files chloride deposition has units kg/hectare/year.\n\nThe 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.\nLineage: 367 chloride deposition-rate measurements at points within Australia are upscaled to the entire continent on a regular 0.05° grid. The method of Davies and Crosbie (https://doi.org/10.1016/j.jhydrol.2018.03.051) is used. 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.\n\nThis collection supersedes https://doi.org/10.4225/08/545BEE54CD4FC since it uses 367 source observations (as opposed to 291) and a more transparent methodology.&rft.creator=Wilkins, Andy &rft.creator=Crosbie, Russell &rft.creator=Louth-Robins, Tristan &rft.creator=Davies, Philip &rft.creator=Raiber, Matthias &rft.creator=Dawes, Warrick &rft.creator=Gao, Lei &rft.date=2022&rft.edition=v2&rft.coverage=westlimit=112.5269; southlimit=-44.1329; eastlimit=154.2909; northlimit=-9.5614; projection=WGS84&rft_rights=Creative Commons Attribution-ShareAlike 4.0 International Licence https://creativecommons.org/licenses/by-sa/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2022.&rft_subject=atmospheric chemistry&rft_subject=chloride mass balance&rft_subject=groundwater recharge&rft_subject=hydrochemistry&rft_subject=rainfall&rft_subject=Agricultural hydrology&rft_subject=Agriculture, land and farm management&rft_subject=AGRICULTURAL, VETERINARY AND FOOD SCIENCES&rft_subject=Groundwater hydrology&rft_subject=Hydrology&rft_subject=EARTH SCIENCES&rft.type=dataset&rft.language=English Access the data

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Creative Commons Attribution-ShareAlike 4.0 International Licence
https://creativecommons.org/licenses/by-sa/4.0/

Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2022.

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Brief description

Chloride deposition (kg/hectare/year) gridded at a resolution of 0.05° x 0.05° across Australia, in GeoTiff format.

This collection supersedes https://doi.org/10.4225/08/545BEE54CD4FC

Also included are results from a Monte-Carlo analysis indicating the uncertainty in the chloride deposition: standard deviation and skewness of deposition and log10(deposition), and 5th and 95th percentile of deposition, all in GeoTiff format. In these files chloride deposition has units kg/hectare/year.

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.
Lineage: 367 chloride deposition-rate measurements at points within Australia are upscaled to the entire continent on a regular 0.05° grid. The method of Davies and Crosbie (https://doi.org/10.1016/j.jhydrol.2018.03.051) is used. 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.

This collection supersedes https://doi.org/10.4225/08/545BEE54CD4FC since it uses 367 source observations (as opposed to 291) and a more transparent methodology.

Available: 2022-04-12

Data time period: 1937-01-01 to 2021-01-01

This dataset is part of a larger collection

Click to explore relationships graph

154.2909,-9.5614 154.2909,-44.1329 112.5269,-44.1329 112.5269,-9.5614 154.2909,-9.5614

133.4089,-26.84715