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Task In Task This allows a dataset to receive a citation in a paper or report. Data exchange between in situ field experiments and ex situ laboratory experiments is essential to gain a rich understanding of environmental hydraulics and for the development of effective climate change adaptation strategies. Laboratory experiments are vital as they offer boundary condition control over variables and produce generic outcomes. However, aligned field studies are key to ensuring that laboratory investigations and the tested boundary conditions are within the ranges found in prototype systems.
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Ensuring that the exchange and flux of data between these methodologies is both robust and efficient is a vital step forward to informing climate adaption strategies at the land-water interface. The purpose of this work package is therefore to develop and standardise methods and protocols for exchange of data between field observations and laboratories.
We will use case studies that require collection of field and laboratory data, and that are of value in relation to work packages 8 and 9 in the other JRAs, to establish data flux standards. Through exchanging and sharing data across common problems in both the field and flume we intend to demonstrate, and where necessary improve further, the effectiveness of flume studies for climate change adaption investigations.
This will be achieved through a detailed quantification of the extent to which complex boundary conditions e. Ultimately, this will increase the utility of physical modelling data both existing and newly generated for both policy makers and environmental managers, due to the inherent quantification, and possible reduction, in the uncertainties of laboratory model results from this exercise.
Physical Processes and Measurement Devices
The focus of this task will be to measure both in the field and model in the laboratory suspended sediment transport dynamics in complex environments and under changing forcing i. We will investigate the following:.
Effective links between laboratory-based data and numerical models are essential to allow long-term predictions on the influence of climate on complex aquatic systems. The majority of parameterisations within models are based on laboratory data and successfully simulating laboratory scaled experiments with a model drives the benchmarking process that underpins tests of model skill.
Indeed, such comparisons are the base for the validation and verification process that is pervasive in the numerical modelling community. Moreover, often laboratory models developed for one specific purpose could be utilised by modellers targeting other objectives if due consideration had been given to base data and parameter quantification during the experiments.
We will develop new methods, protocols and standards regarding the validation and verification of models and develop specific guidance for laboratory modellers that will ensure that during the design phase the use of the results in future modelling is explicitly considered to ensure that experiments map to the needs of the modelling community and the duplication of similar experiments is minimised.
These protocols will be tested using wave flume data from one participant with numerical models from another. This work package will develop freely available interactive tools for knowledge transfer to the wider community, consisting of visualisation tools for the display of meta-data and interactive tools for the transfer of expertise. The two tasks are described below. This will allow potential users to display information such as instrument position for different tests, helping them to choose suitable data for use or re-use.
It is most important that the tools are systematically organized and self-explaining but also contain different levels of presentation and information in order to address the different user groups and provide clear options and links for those users who are interested in additional information about the theoretical background of the applied formulae, models, techniques and methodologies. A modular structure will allow for easy updates. All rights reserved. Web by Samui.
Hydraulic and Hydrological Modelling
Experiments by Invited Researchers Climate change in physical experiments Morphodynamics and protective structures Exchange of experimental data Virtual Learning Videos. Volume 4 is composed of a series of case studies, dedicated to practical applications of these tools in engineering problems. Volume 5 identifies and describes the modeling software in each discipline. Convert currency.
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Hydraulic modeling development and application in water resources engineering
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