The management of hydro-meteorological data demands the highest process standards. Both recorded and derived data from various observation areas are archived together, edited in graphical and tabular form, analyzed, evaluated and presented. In order that these tasks are carried out efficiently and economically, the support of a specialized software solution is required. Our water data management solutions offer a comprehensive spectrum of functions for integrated collection, processing, quality control, evaluation and publication of data from extensive hydro-meteorological measuring networks.
Visualization of information from your hydrometeorological & early flood warning network in a matter of seconds is critical in the decision making process. Contrail supports the data collection, processing, archiving and dissemination of your hydrometeorological and water resources data in one place.
OneRain's Contrail enterprise level software platform collects, processes and archives rainfall, flow, stream level, weather station and many other hydrometeorological data from multiple sources including ALERT/ALERT2 line-of-sight radio data, cellular data, and satellite weather gauge data, and any web-accessible data sources as well as neighboring outside sources such as USGS gauges, METAR, TIDES, HADS, RWIS... . The platform supports any number of users from their laptops, their smartphones, their tablets, however they are connected to the Internet.
At its core are the advanced alarm and notification capabilities. Used in Early Flood Warning, Safety of Dams, Emergency Management...
Energy providers, engineers, universities and labs use Weather Analytics’ localized atmospheric and solar radiation output in order to model and manage energy use and consumption within buildings and profile new renewable-energy sites. Weather Analytics provides solution-ready, statistically stable climate data, including hard-to-find variables. We provide global geographic coverage and easy access to comprehensive climate intelligence, including on demand Typical Meteorological Year (TMY) and Actual Meteorological Year (AMY) climate files for simulation and modeling.
Every year, 35 million hectares —or about 1% of the world’s forests— are lost to wildfire. Recently in North America the area burnt by wildfires has increased sharply, while regions like Southeast Asia and South America have seen a rise in the number of land-clearing fires and other escaped wildfires in equatorial forests.
The extraordinary costs of fire suppression activities are matched only by the damages to property and ecosystems these fire wreak—in South America, this loss is estimated at $1.6 billion annually. In the US, damages from major fires were found to account for as much as 95% of total costs from fire.
Advances have been made through the use of basic weather data from meteorological stations. In years past, fire agencies used this data to develop fire danger rating systems that helped them predict, prevent and suppress fires.
How can fire management agencies improve their ability to predict, prevent and fight wildfires? By installing dedicated fire weather network.
based in Victoria, BRITISH COLUMBIA (CANADA).
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