View or download historic and recent estimates of water stores and flows in the Australian landscape. Available estimates include soil water, groundwater, streamflow and evapotranspiration, among others. Most data are daily and have a resolution of around 5 […]
Read moreThe Australian Cosmic Ray Sensor Network (CosmOz) is a near-real time soil moisture measurement network. The network was developed through collaboration between CSIRO and several universities. The goals of CosmOz are to (1) test the utility of cosmic ray […]
Read moreThe CSIRO Environmental Earth Observation web site is a portal to several Water Research Experimental web services and research data. The web services and research data on this portal are made available as demonstrators for research and educational use only. […]
Read moreExperimental near-real time water balance information. The Asia-Pacific Water Monitor uses satellite and on-ground measurements, weather forecasts and a hydrological model to produce near-real time water balance estimates for the Asia-Pacific region. Maps show precipitation, streamflow, catchment water storage, […]
Read moreDaily satellite data from two NASA satellites is processed to identify surface water using the Open Water Likelihood algorithm developed by CSIRO. Imagery for the whole of Australia is processed. Surface water maps are overlaid onto a digital elevation model to estimate the […]
Read moreIf you want to know more about OzEWEX or about this web site, contact the current chair, Albert van Dijk (contact details) 60 SHARES Share on Facebook Tweet Subscribe to newsletter Share Share Share Share Share
Read moreOn 6 December 2012 the OzEWEX web site has gone live. Please give it a good road test and submit your articles, events and links to web sites and data sets at will! If you have any suggestions […]
Read moreOzEWEX reaches more than a thousand researchers, students and professionals in the climate, water and environment sectors, from academia and government to private industry and NGOs. You are warmly invited, indeed encouraged, to contribute to OzEWEX by submitting your […]
Read moreOzEWEX has working groups in the following six priority areas: WG1 – Observational Data chairs: Marta Yebra (ANU) and Chris Rudiger (Monash University) description – read articles – current members – discussion forum WG2 – Model Evaluation and Benchmarking chair: Gab Abramowitz (UNSW) […]
Read moreOzEWEX is morally and financially supported by the following organisations and initiatives: The Fenner School for Environment & Society, Australian National University, providing secretarial support. The Centre of Excellence for Climate System Science, funded by the Australian Research Council and involving several partner organisations […]
Read moreOzEWEX is a volunteer organisation that consists mainly of active researchers in universities and government agencies. It was established in October 2012 as an Initiation Phase Regional Hydroclimate Project under the auspices of the Global and regional Energy and Water […]
Read moreThe main purpose of OzEWEX is to provide a coordinated environment to encourage collaboration among researchers and research users that achieves benefits for the individuals involved, while at the same time working towards the OzEWEX objective. 60 SHARES […]
Read moreTo receive our Newsletter, simply sign up here (it takes less than 30 seconds). SUBSCRIBE Subscription means you will get our regular newsletter as well as occasional reminders of event deadlines or community initiatives. The total number of emails per year is less […]
Read moreOzEWEX aims to promote awareness, access and continuity of existing observation data sources that are critical for research of the energy and water cycle, and to evaluate new observations. The data of interest derive both from operational and […]
Read moreOzeWEX is the Australian Energy and Water Exchange initiative. We are a non-profit volunteer organisation that is part of the international Global and regional Energy and Water Exchanges project (GEWEX). Our goal is to promote and increase measurement, understanding and prediction […]
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