Improving the Algal Bloom Prediction in the North Sea by Ensemble Kalman Filtering in the GEM/BLOOM Model

The ecological state of the North Sea surface water can be indicated by ocean variables such as the Chlorophyll-a (Chlfa) concentration. Chlfa is the principal photosynthetic pigment and is common to all phytoplankton and can therefore be used as a measure of phytoplankton biomass. The GEM/BLOOM model developed at Deltares is a generic...

Enhancing Algae Bloom Prediction in the North Sea: A Bayesian Belief Net Approach

Water quality modeling has become an important research field over the past decades due to the increasing interest in studying the effects that human activities have on the water ecosystems. The BLOOM model is a tool used to determine the quality of marine or coastal waters by means of the estimation of the chlorophyll-a concentration. In this...

High-performance Processing in Networked and Grid Environments

In this dissertation, we present several techniques to achieve the high-performance processing in networked and grid environments. Many applications need a high-performance processing system to execute efficiently. High-performance processing mainly stems from parallelism. The parallel nature of grid computing is a very attractive solution to...

A first validation of BLOOM for species groups

Modelvoorspellingen voor plaagalgenbulletin 2007: Eindrapportage