Dataset

Daily top layer soil moisture (~0-10 cm) relative wetness, 97.5th percentile of the ensemble of model estimates: AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011

Ecosystem Modelling and Scaling Infrastructure (eMAST) Facility
B. Henderson (Author) D. Collins (Author) Dr. Luigi Renzullo (Principal investigator ) Jean-Michel Perraud (Author) Prof. Albert I.J.M. van Dijk (Author) View all 8 related researchers
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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=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/efb5cd58-88ca-4237-a63f-6d41b73d750f&rft.title=Daily top layer soil moisture (~0-10 cm) relative wetness, 97.5th percentile of the ensemble of model estimates: AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011&rft.identifier=http://geonetworkrr9.nci.org.au/geonetwork/srv/eng/catalog.search#/metadata/efb5cd58-88ca-4237-a63f-6d41b73d750f&rft.publisher=Terrestrial Ecosystem Research Network's (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST)&rft.description=Modelled root-layer soil moisture (0-100 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 97.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).&rft.creator=H. Jin &rft.creator=A.B. Smith &rft.creator=D.L. McJannet &rft.creator=B. Henderson &rft.creator=D. Collins &rft.creator=Prof. Albert I.J.M. van Dijk &rft.creator=Jean-Michel Perraud &rft.creator=Dr. Luigi Renzullo &rft.date=2015&rft.coverage=northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154&rft.coverage=northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154&rft_rights=These data can be freely downloaded and used. Subject to the CCBY 4.0 licence.&rft_rights=&rft_rights=Copyright 2014 CSIRO. Rights owned by the Commonwealth Scientific and Industrial Research Organisation (CSIRO).&rft_rights=http://www.csiro.au/en/About/Footer/Copyright&rft_subject=Climatology Meteorology Atmosphere &rft_subject=Atmospheric Sciences&rft_subject=Earth Sciences&rft.type=dataset&rft.language=English Access the data

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These data can be freely downloaded and used. Subject to the CCBY 4.0 licence.

Copyright 2014 CSIRO. Rights owned by the Commonwealth Scientific and Industrial Research Organisation (CSIRO).

http://www.csiro.au/en/About/Footer/Copyright

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Full description

Modelled root-layer soil moisture (0-100 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 97.5th percentile of the ensemble of model estimates. Note that the data represents the mean of an ensemble of 100 modelled estimates for each data derived via perturbed meteorological forcing. Resolution of the output data is 0.05-degree for the whole country. The unit of measure is relative wetness (0-1, indicating 0 and 100% degree of saturation).

Notes

The creation of this data was funded by the Terrestrial Ecosystem Research Network (TERN) Ecosystem Modelling and Scaling Infrastructure (eMAST) Facility under the National Collaborative Research Infrastructure Strategy (NCRIS) 2013-2014 budget initiative of the Australian Government Department of Industry. Any publication of this data or works derived from these data, must include the following citation and prior email notification (eMAST.info@gmail.com). Please send reprints/citations of papers or oral presentations to the eMAST office. Please use the following citation with the data: Renzullo, L. J., A. I. J. M. van Dijk, J-M. Perraud, D. Collins, B. Henderson, H. Jin, A. B. Smith, and D. L. McJannet. "Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment." Journal of Hydrology (2014). DOI: 10.1016/j.jhydrol.2014.08.008. Obtained from http://dap.nci.org.au, made available by the Ecosystem Modelling and Scaling Infrastructure (eMAST, http://www.emast.org.au) of the Terrestrial Ecosystem Research Network (TERN, http://www.tern.org.au). Accessed [Date accessed].
Renzullo, L. J., A. I. J. M. van Dijk, J-M. Perraud, D. Collins, B. Henderson, H. Jin, A. B. Smith, and D. L. McJannet. "Continental satellite soil moisture data assimilation improves root-zone moisture analysis for water resources assessment." Journal of Hydrology (2014). DOI: 10.1016/j.jhydrol.2014.08.008

Created: 01 09 2014

Data time period: 2000-01-01 to 2011-12-31

This dataset is part of a larger collection

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154,-9 154,-44 112,-44 112,-9 154,-9

133,-26.5

text: northlimit=-9; southlimit=-44; westlimit=112; eastLimit=154

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Identifiers
  • Local : efb5cd58-88ca-4237-a63f-6d41b73d750f
  • global : eMAST/efb5cd58-88ca-4237-a63f-6d41b73d750f
  • Local : AWRA05_v1-0_top-soil-moisture-high-percentile_daily_0-05deg_2000-2011