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Announcing TU Delft Repository replacement
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2 July 2024
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The impact of increased shellfish cultivation in the North Sea on the carbon cycle: A what-if scenario for the European Digital Twin Ocean
A Case Study of Ecological Suitability of Mussel and Seaweed Cultivation using Bivariate Copula Functions
EuroGOOS roadmap for operational coastal downstream services
Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements
Coastal environmental and atmospheric data reduction in the Southern North Sea supporting ecological impact studies
Historical and future naturalization of Magallana gigas in the Galician coast in a context of climate change
Climate change induced trends and uncertainties in phytoplankton spring bloom dynamics
Integrating inland and coastal water quality data for actionable knowledge
Remote sensing-based automatic detection of shoreline position: A case study in apulia region
A Bayesian stochastic generator to complement existing climate change scenarios: Supporting uncertainty quantification in marine and coastal ecosystems
3D Ensemble Simulation of Seawater Temperature: An Application for Aquaculture Operations
A Bayesian approach to ecosystem service trade-off analysis utilizing expert knowledge
A copula-based sensitivity analysis method and its application to a North Sea sediment transport model
Use of multiway Partial Least Squares Regression (N-PLS) as model emulator to quantify climate change induced uncertainty in future marine chlorophyll-a concentrations
Integration of satellite remote sensing data in ecosystem modelling at local scales: Practices and trends
Monitoring biodiversity change through effective global coordination
The ensemble particle filter (EnPF) in rainfall-runoff models
Improving the operational forecasting system of the stratified flow in Osaka Bay using an ensemble Kalman filter–based steady state Kalman filter
Conversion of deterministic models into stochastic models: Approach and three worked out examples as guidance for application of data assimilation
Data assimilation in particle models for groundwater contamination
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