Data

Australian 0.05º gridded chloride deposition v2

data.gov.au
Bioregional Assessment Program (Owned by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.gov.au/data/dataset/a138fc5d-1c74-45aa-936f-ecf370632798&rft.title=Australian 0.05º gridded chloride deposition v2&rft.identifier=c1649bd7-227f-41ff-9964-b55479bef640&rft.publisher=data.gov.au&rft.description=Australian 0.05º gridded chloride deposition v2 - Data File## **Abstract** \n\nThis dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.\n\n\n\nGrid surfaces at a resolution of 0.05° x 0.05° showing the chloride deposition rate (kg/ha/year) across Australia based upon distance from the coast. The dataset and the derivative 95% confidence interval for upper and lower datasets is made available as ArcInfo ASCII Grid format.\n\n\n\nThis revised version includes the uncertainty in the chloride deposition rate surface quantified using the mean, standard deviation and skewness (grids included).\n\n## **Purpose** \n\nHas a number of applications. Including atmospheric chemistry and as input in determination of groundwater recharge using the chloride mass balance (CMB) technique.\n\n## **Dataset History** \n\nThe chloride deposition rate dataset is developed from 291 field observations of chloride in rainfall across Australia spanning a period of 75 years. These point data were interpolating to a gridded surface at a resolution of 0.05° x 0.05° using a four parameter function derived by Keywood et al. (1997) and a pilot point regularisation approach within PEST (Doherty, 2005). The uncertainty in the chloride deposition rate surface was quantified using the mean, standard deviation and skewness derived from null-space Monte Carlo analysis (Tonkin and Doherty, 2009) of 791 equally well-calibrated models.\n\n## **Dataset Citation** \n\nCSIRO (2014) Australian 0.05º gridded chloride deposition v2. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/c1649bd7-227f-41ff-9964-b55479bef640.&rft.creator=Bioregional Assessment Program&rft.date=2022&rft.coverage=NONE&rft_rights=Creative Commons Attribution 3.0 Australia, http://creativecommons.org/licenses/by/3.0/au/, (c) CSIRO&rft_subject=Australia&rft_subject=Clarence-Moreton bioregion&rft_subject=Galilee subregion&rft_subject=Hunter subregion&rft_subject=Namoi subregion&rft_subject=Sydney Basin bioregion&rft_subject=climatologyMeteorologyAtmosphere&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Other view details
Creative Commons Attribution 3.0 Australia, Http://creativecommons.org/licenses/by/3.0/au/, (c) Csiro

Creative Commons Attribution 3.0 Australia, http://creativecommons.org/licenses/by/3.0/au/, (c) CSIRO

Brief description

## **Abstract**

This dataset was supplied to the Bioregional Assessment Programme by a third party and is presented here as originally supplied. Metadata was not provided and has been compiled by the Bioregional Assessment Programme based on the known details at the time of acquisition.



Grid surfaces at a resolution of 0.05° x 0.05° showing the chloride deposition rate (kg/ha/year) across Australia based upon distance from the coast. The dataset and the derivative 95% confidence interval for upper and lower datasets is made available as ArcInfo ASCII Grid format.



This revised version includes the uncertainty in the chloride deposition rate surface quantified using the mean, standard deviation and skewness (grids included).

## **Purpose**

Has a number of applications. Including atmospheric chemistry and as input in determination of groundwater recharge using the chloride mass balance (CMB) technique.

## **Dataset History**

The chloride deposition rate dataset is developed from 291 field observations of chloride in rainfall across Australia spanning a period of 75 years. These point data were interpolating to a gridded surface at a resolution of 0.05° x 0.05° using a four parameter function derived by Keywood et al. (1997) and a pilot point regularisation approach within PEST (Doherty, 2005). The uncertainty in the chloride deposition rate surface was quantified using the mean, standard deviation and skewness derived from null-space Monte Carlo analysis (Tonkin and Doherty, 2009) of 791 equally well-calibrated models.

## **Dataset Citation**

CSIRO (2014) Australian 0.05º gridded chloride deposition v2. Bioregional Assessment Source Dataset. Viewed 12 March 2019, http://data.bioregionalassessments.gov.au/dataset/c1649bd7-227f-41ff-9964-b55479bef640.

Full description

Australian 0.05º gridded chloride deposition v2 - Data File

This dataset is part of a larger collection

Click to explore relationships graph

Spatial Coverage And Location

text: NONE

Subjects

User Contributed Tags    

Login to tag this record with meaningful keywords to make it easier to discover

Identifiers
ACN 633 798 857