Difference between revisions of "User:Abarkwith"

From CSDMS
Line 11: Line 11:
|Confirm email member=andr3@bgs.ac.uk
|Confirm email member=andr3@bgs.ac.uk
|Work phone member=01159363175
|Work phone member=01159363175
|Working group member=Terrestrial Working Group, Cyberinformatics and Numerics Working Group, Hydrology Focus Research Group
|Working group member=Terrestrial Working Group, Coastal Working Group, Hydrology Focus Research Group
|Description of your CSDMS-related interests member=Terrestrial
Currently managing the Dynamic Environment Sensitivity to Climate Change (DESC) project, which seeks to create a modelling platform where the influence of predicted future climate scenarios can be tested on a variety of landscape evolutionary processes at a range of spatio-temporal scales. The current DESC modelling platform is based on the Cellular Automaton Evolutionary Slope And River (CAESAR) model, which can simulate morphological changes in river catchments or reaches, on a flood by flood basis over periods of an hour up to several thousands of years. Through the coupling of the quasi three dimensional groundwater model ZOOMQ3D to CAESAR it was shown that although the cumulative sediment output at the base of a catchment is similar to a non-groundwater simulation, the spatio-temporal distribution of erosion and deposition throughout the modelled area was modified, being influenced through the interplay of rainfall events and groundwater maxima and minima. The coupled model is however, computationally expensive and labour intensive; therefore the groundwater model is currently being replaced by simple subsurface flow algorithms. To further improve hydrological representation and increase the number of novel applications, modification of the surface routing algorithms and inclusion of soil characteristics, evapotranspiration and land use are being undertaken, with dynamic vegetation and improvements to landslide development being added in the near future. When complete, the model will be used to simulate the effects of different climate scenarios on a variety of environments.
 
Coastal
In the UK, much of the coastal observation, modelling and risk-mitigation work to date has focussed on relatively local domains. CARE, the dynamic coastal evolution project, aims to generate an OpenMI-compliant modelling system that integrates geology, geomorphology and climate, and is focussed on longer time and larger length scales in order to understand better the geomorphological effects of steadily evolving climate regimes. Although this project is in its initial stages, a loose model framework has been created which provides a flexible quasi three-dimensional environment where coastal sediment transport algorithms can be evaluated for a particular study area. Although the framework uses a simple PDF to drive wave climates, in the future running simulations with observed or perturbed wave climate data will open up a number of possible paths including: hind-casting, storm influences, and possible future coastal scenarios.
 
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Revision as of 02:22, 5 October 2011

"UK" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country member" property.



Andrew Barkwith, website username login: Abarkwith

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BGS
Mathematical Modelling
Kingsley Dunham Centre
Keyworth
Nottinghamshire
NG12 5GG
UK"UK" is not in the list (Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Australia, Austria, ...) of allowed values for the "Country member" property.
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(Office)01159363175
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andr3@bgs.ac.uk

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Member of the following CSDMS groups

  • Terrestrial Working Group
  • Coastal Working Group
  • Hydrology Focus Research Group

Signed up for the mailing list:

CSDMS-related interest

Terrestrial Currently managing the Dynamic Environment Sensitivity to Climate Change (DESC) project, which seeks to create a modelling platform where the influence of predicted future climate scenarios can be tested on a variety of landscape evolutionary processes at a range of spatio-temporal scales. The current DESC modelling platform is based on the Cellular Automaton Evolutionary Slope And River (CAESAR) model, which can simulate morphological changes in river catchments or reaches, on a flood by flood basis over periods of an hour up to several thousands of years. Through the coupling of the quasi three dimensional groundwater model ZOOMQ3D to CAESAR it was shown that although the cumulative sediment output at the base of a catchment is similar to a non-groundwater simulation, the spatio-temporal distribution of erosion and deposition throughout the modelled area was modified, being influenced through the interplay of rainfall events and groundwater maxima and minima. The coupled model is however, computationally expensive and labour intensive; therefore the groundwater model is currently being replaced by simple subsurface flow algorithms. To further improve hydrological representation and increase the number of novel applications, modification of the surface routing algorithms and inclusion of soil characteristics, evapotranspiration and land use are being undertaken, with dynamic vegetation and improvements to landslide development being added in the near future. When complete, the model will be used to simulate the effects of different climate scenarios on a variety of environments.

Coastal

In the UK, much of the coastal observation, modelling and risk-mitigation work to date has focussed on relatively local domains. CARE, the dynamic coastal evolution project, aims to generate an OpenMI-compliant modelling system that integrates geology, geomorphology and climate, and is focussed on longer time and larger length scales in order to understand better the geomorphological effects of steadily evolving climate regimes. Although this project is in its initial stages, a loose model framework has been created which provides a flexible quasi three-dimensional environment where coastal sediment transport algorithms can be evaluated for a particular study area. Although the framework uses a simple PDF to drive wave climates, in the future running simulations with observed or perturbed wave climate data will open up a number of possible paths including: hind-casting, storm influences, and possible future coastal scenarios.