The increasing abundance of climatological, hydrological, and remote sensing ‘big’ environmental data in the public domain nowadays calls for enhanced data analysis, data handling, data management and data integration methodologies to translate scientific data to knowledge products that are informative, intuitive, understandable and supportive in water resources decision making. Lynker knows what data is available, how to access it, and how to translate data into useful integrated products. We can combine data with objective-specific hydrological simulation models in hydroinformative products. We are specialized in visualizing and converting complex results of numerical models to comprehensible information for policy makers.

We specialize in the automation of data display capabilities to efficiently process large quantities of data. Our team is constantly developing new and innovative display capabilities to illustrate data through informative, accurate, and easy to understand mediums.

Our developers have pioneered state-of-the-art data management and visualization techniques of datasets for the National Weather Service. The short-range configuration of the National Water Model produces over 1 billion streamflow data points per day, requiring the use of cutting-edge technologies and the development of novel solutions. Tasks in this project include the development of an automation pipeline that watches and downloads the latest forecasts, initiates post-processing on the datasets, and updates spatial web services with the resulting visualizations in near-real time.