AboutParticipantsMethodologyData preparationAnalysisResultsConclusions AboutExperiment name: Quantile-based modeling of phytoplankton dynamics using Random Forests  Scientific question: Can we improve the predictability of such events that occur at the limit of probability? If we can, how reliable is the prediction for a new instance? Experiment idea: This experiment...

AboutParticipantsMethodologyData preparationAnalysisResultsReferencesAboutExperiment name: Limits of one-dimensional process models to forecast water quality Scientific question: Quantifying the relevance of the major sources of uncertainty and establishing the forecasting horizon of one-dimensional process models Experiment idea: 6 Partner 0 Publications 0 Datasets Participants EMVIS Kyriakos KANDRIS [email protected]...

AboutParticipantsMethodologyData preparationAnalysisResultsConclusionsAboutExperiment name: Developing an error-correcting complementary modeling approach for surface water quality Scientific question: Can we train data-driven algorithms to accurately detect systematic errors produced by process-based models? Experiment idea: This is a proof-of-concept for the development of hybrid modeling approaches in surface water...

AboutParticipantsMethodologyData preparationAnalysisResultsConclusionsAboutExperiment name: Assimilation of Earth Observation products in water quality modelling Scientific question: Can we combine EOs and enKF/4dVAR data assimilation techniques to improve the predictive skill of hydro-ecological modelling in reservoirs? Experiment idea: This study focuses on improving the prediction accuracy of chlorophyll-a...

AboutParticipantsMethodologyData preparationAnalysisResultsConclusionsAboutExperiment name: Develop and benchmark data-driven algorithms to forecast the short-term dynamics of phytoplankton in surface water reservoirs Scientific question: How much more accurate can data-driven algorithms be in predicting chlorophyll-a compared to naïve predicting alternatives? What are the limits of predictability in terms...

AboutParticipantsMethodologyData preparationAnalysisResultsConclusionsAboutExperiment name: Assess the relevance of hydrometeorological variables in phytoplankton dynamics of surface waters using data-driven modeling Scientific question: Can we use data-driven algorithms to gain insight into the drivers of phytoplankton dynamics in lake and reservoir ecosystems? Experiment idea: Data-driven models typically compromise...

Study Water Quality in Freshwater Reservoir with Multiscale Optical Data

Study Primary Producers with Satellite Imaging Spectrometry

AboutParticipantsMethodologyData preparationAnalysisResultsReferencesAboutExperiment name: Assimilation of Earth Observation products and in-situ data in seasonal hydrological forecasting services Experiment idea: This experiment allows assimilation of different earth observation products, assimilated both individually and in a combination, and in-situ data in a hydrological model. The model is further...