{"id":1544,"date":"2018-09-06T21:54:09","date_gmt":"2018-09-06T11:54:09","guid":{"rendered":"http:\/\/wald.anu.science\/?page_id=1544"},"modified":"2022-03-08T15:11:10","modified_gmt":"2022-03-08T04:11:10","slug":"data","status":"publish","type":"page","link":"https:\/\/www.wenfo.org\/aer\/data\/","title":{"rendered":"Downloading Data"},"content":{"rendered":"
The material\u00a0provided\u00a0through this website is\u00a0experimental and derived through\u00a0active research. The Australian National\u00a0University does not have a legislated role in providing authoritative information. All\u00a0information\u00a0is made available on the understanding that it does not constitute\u00a0professional advice.\u00a0Before relying on the material in any important matter, users should carefully evaluate its accuracy, currency, completeness and relevance for their purposes, and should obtain any appropriate professional advice relevant to their particular circumstances.\u00a0Links to other websites do not constitute an\u00a0endorsement of material at those sites, or any associated organisation, product or service.<\/em><\/p>\n <\/p>\n Van Dijk, A.I.J.M. and Rahman, J. (2019). Synthesising multiple observations into annual environmental condition reports: the OzWALD system and Australia\u2019s Environment Explorer. In Elsawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2019, pp. 884\u2013890.<\/em> <\/p>\n Note:\u00a0each file contains multiple layers; one for each\u00a0year in\u00a0the record. These can be accessed by year by using OpenDAP protocols (see above). Files containing all years can also be downloaded directly in full, but note that files are usually larger than 500 MB.<\/p>\n Disclaimer The material\u00a0provided\u00a0through this website is\u00a0experimental and derived through\u00a0active research. The Australian National\u00a0University does not have a legislated role in providing authoritative information. All\u00a0information\u00a0is made available on the understanding that it does not constitute\u00a0professional advice.\u00a0Before relying on the material in any important matter, users should carefully evaluate its accuracy, currency, completeness and relevance for their<\/p>\n<\/a>Data Origin<\/span><\/span><\/h4>\n
Most of the data are produced by our OzWALD (Australian Water and Landscape Dynamics) model-data fusion system, which integrates a wide range\u00a0of satellite and ground observations\u00a0through the use of a computer model of Australia’s environment. You can find further details about the source and processing of the data in ANU’s OzWALD system in the following short paper (Note: because of ongoing development, aspects of the system may have changed since this paper was published)<\/em>:<\/h6>\n
\nISBN: 978-0-9758400-9-2.\u00a0https:\/\/doi.org\/10.36334\/modsim.2019.J5.vandijk<\/a>\u00a0<\/em><\/p>\nThe spatial data produced by ANU are derived from original observations and derived data products published by the following organisations:<\/h6>\n
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If you have any questions about the methods\u00a0and the data on our website, please do not hesitate to ask us about it.<\/h6>\n
<\/a>Downloading data<\/span><\/span><\/h4>\n
Regional Summary\u00a0Data<\/span><\/h5>\n
You can\u00a0download Regional Summary Data directly via the ‘Get the data<\/em>‘ link below the data chart on the website. If you wish\u00a0to download all available data at once, you can find all data in csv format\u00a0here<\/a>.<\/h6>\n
Gridded\u00a0data<\/span><\/h5>\n
All gridded data can be accessed and downloaded\u00a0via NCI’s\u00a0THREDDS<\/a> service\u00a0in NetCDF4<\/a> format. If\u00a0you are familiar with these then\u00a0you can directly\u00a0access our data\u00a0catalogue<\/a>.\u00a0You can\u00a0find annual files with data at the\u00a0highest temporal and spatial\u00a0time step available.\u00a0To access the gridded annual\u00a0maps you can also follow the Direct Download\u00a0Links below.\u00a0If you are not familiar with the NCI THREDDS\u00a0you can find a good description here<\/a>.\u00a0Various software packages have native or external utilities\u00a0to\u00a0read NetCDF format, including QGIS, ArcGIS (instructions here<\/a>), Matlab, Python, and ENVI\/IDL. You can find a partial (if somewhat dated)\u00a0list of processing and viewing\u00a0software\u00a0here<\/a>.<\/h6>\n
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