Please wait

Feedback

  Fields in red are required!
iCOASST Menu
iCOASST MENU
Introduction
Background
Pilot Sites
Framework Details
iCOASST for end-users
Models and Mapping Tools
Introduction
UNALINEA
ASMITA
SCAPE+
ESTEEM
MESO i
COASTAL ME
POLCOMS
TELEMAC
CESM
Model Compositions
Suffolk
Liverpool Bay
Open MI

iCOASST

Framework Details

Introduction

This section describes the different components of the iCOASST Framework and how they are related. While all these components are useful in their own right, the strength of the iCOASST approach is that by linking them, better analysis and new insights becomes possible.

The iCOASST Framework is underpinned by qualitative mapping that describes the coastal system - Coastal and Estuarine Systems Mapping (CESM). A new CESM methodology has been developed and demonstrated in the pilot sites.

The CESM describes the landform components and their interrelationship. Landform Behaviour Models are required to represent these components. iCOASST used both existing models, and also further developed existing or completely new landform behaviour models. These landform behaviour models are valuable in their own right and can also be coupled to form model compositions, as was demonstrated in the pilot sites.

The shallow seabed is often ignored in coastal modelling, but this simplification is often in appropriate. In iCOASST well-validated Coastal Area Models were used to understand potential sediment fluxes between the seabed and shoreline, as well as indirect effects such as wave sheltering by shallow areas such as sand banks.

Increasing amounts of data are available on the UK coastline (and more widely). Data Driven Models were also investigated to see how they could augment the other analysis conducted within iCOASST. As the datasets continue to grow, so these data driven methods and insights should become more useful.

Coastal State Indicators provide a common language between coastal managers and coastal modellers, and define the quantities that coastal models should produce.