Project Description

Smart high-frequency environmental sensor networks for quantifying nonlinear hydrological process dynamics across spatial scales.

Technological progress offers as many opportunities as it triggers challenges: what is needed now are new strategies to generate, manage and analyse BIG DATA at unprecedented spatial and temporal resolution.

For this project, we propose a rationale stating that only novel, high-frequency/high-resolution environmental monitoring and predictive modelling will yield new process understanding of ecosystem functioning.

Innovation can only stand as a synonym for ‘significant positive changes’ if [a] we manage to clearly state the challenges (global change & non-stationarity) and problems (generating and managing high-frequency information) and [b] transform them into solutions, i.e. the quantification and prediction of environmental responses to global change as a prerequisite for designing and implementing adaptation and/or mitigation strategies wherever needed.

Project Details

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  • Tags

    • Hydrology
    • Ocean and Coast
    • Big data