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model-definition.yml
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kind: M
api_version: v1beta3
metadata:
display_name: Global Urban_Flooding:Friction Coeffs
name: citycat-friction-coeffs
publisher: Newcastle University
summary: CityCAT is a tool for modelling, analysis and visualisation of surface water flooding.
source_code: https://github.com/OpenCLIM/citycat-dafni
description: >
CityCAT (City Catchment Analysis Tool) is a unique software tool for modelling, analysis and visualisation of surface water flooding.
CityCAT enables rapid assessment of combined pluvial and fluvial flood risk and allows assessment of the effects of different flood alleviation measures.
This DAFNI model generates input data for CityCAT, runs a simulation and then converts the output data.
All input data is assumed to be projected in [OSGB 1936](https://epsg.io/27700).
The domain is generated either using a boundary polygon or a combination of centroid location and size.
A rainfall total can either be specified directly or extracted from FUTURE-DRAINAGE based on a return period, duration and time horizon.
The storm profile is generated using the FEH summer profile.
The effects of buildings, green areas and inflow boundary conditions can be included.
Results are provided in a range of formats and a metadata JSON file is created which can be used to create DAFNI datasets.
contact_point_name: steve birkinshaw
contact_point_email: [email protected]
spec:
inputs:
dataslots:
- name: Boundary File
description:
A .gpkg or .shp file containing the boundary of the location of interest.
path: inputs/boundary/
required: false
- name: Friction Coeffs file
description:
This file should be shp format and the location of the non-default friction coeffs and their value.
default:
- - d7ed46bc-7f9b-4f5a-b0c4-b36f5307821b
path: inputs/friction_coeffs
required: true
- name: Parameters
description:
All input parameters and their values are stored in a csv file.
path: inputs/parameters/
required: false
outputs:
datasets:
- name: outputs/friction_coeffs/*
type: folder
description:
A gpgk of friction coeff data for the city of interest.