PrimeWater Virtual Lab – Experiments for students and early career researchers
To support the exploitation of space-borne imaging spectroscopy for aquatic applications, a series of videos for students/early career researchers have been prepared in the framework of the PrimeWater Virtual Lab. The videos describe the use of some tools for PRISMA and DESIS data pre-processing, for…
Blogs, Experiments, News, Virtual Lab
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Quantile-based modeling of phytoplankton dynamics using Random Forests
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...
Limits of one-dimensional process models to forecast water quality
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]...
Developing an error-correcting complementary modeling approach for surface water quality
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...
Assimilation of Earth Observation products in water quality modelling
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...
Develop and benchmark data-driven algorithms to forecast the short-term dynamics of phytoplankton in surface water reservoirs
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...
Assess the relevance of hydrometeorological variables in phytoplankton dynamics of surface waters using data-driven modeling
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...
Multiscale Optical Data
Study Water Quality in Freshwater Reservoir with Multiscale Optical Data
Imaging spectrometry
Study Primary Producers with Satellite Imaging Spectrometry
Assimilation of Earth Observation products and in-situ data in seasonal hydrological forecasting services
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...
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