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This extension is facilitated by the decoupling of processing components and message queue using the subscription service Scalability The data processing simulation inherits its scalability from its cloud infrastructure.
In the light of the recent UK Research Council funded Environmental Virtual Observatory pilot project, this paper gives an overview of currently available implementations related to web-based technologies for processing large and heterogeneous datasets and discuss their relevance within the context of environmental data processing, simulation and prediction.
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Model construction, data processing, and simulations were carried out in MATLAB (2011b, The MathWorks Inc., Natick, MA).
For data post-processing, simulation results are exported to HDF5/CSV formats.
This promotes additional fault tolerance by protecting the ingestion process from faults that originate from data processing components Extensibility The simulation illustrates the aggregation and contextualisation component that is responsible for preparing data for analysis.
Once a simulation completes, some core material properties cannot be directly acquired which need some manual post-simulation data processing.
Analyses of extreme weather events and their impacts often requires big data processing of ensembles of climate model simulations.
Fig. 4 Simulation of data processing in the data pipeline.
Fig. 8 Monitoring depth of water in simulation during data processing.
The next section describes the principle of the microwave propagation delay, InSAR data processing and a numerical weather simulation setting.
Table 5 discusses the simulation of data processing in the data pipeline in the context of the requirements identified in RQ1 of this study.
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