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NCI/8af9d8ef-1f2f-4df1-97fc-02ce1642381b

133,-26.5

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

20321
METADATA

Daily top layer soil moisture (~0-10 cm) relative wetness, 50th percentile of the ensemble of model estimates: AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011

Description

Modelled root-layer soil moisture (0-100 cm) using the Australian Water Resources Assessment model via assimilation of satellite soil moisture products: 50th 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).

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

Temporal coverage

From 2000-01-01 To 2011-12-31

Dates

  • Date modified

    20/06/2019

Citation and Identifier

How to cite this collection:

H. Jin , A.B. Smith , D.L. McJannet , B. Henderson , D. Collins , Prof. Albert I.J.M. van Dijk , Jean-Michel Perraud , Dr. Luigi Renzullo (2014): Daily top layer soil moisture (~0-10 cm) relative wetness, 50th percentile of the ensemble of model estimates: AWRA 0.5, 0.05 degree, Australian Coverage, 2000-2011. Version . Australian National University. dataset.

Rights and Licensing

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

https://creativecommons.org/licenses/by/4.0/

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

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

Data type

dataset

Access data

This data can be accessed from the following websites