Dataset
OpenCLIM - Urban Flood Impacts : 1km gridded outputs for five GB cities
Abstract
This dataset contains output datasets from the OpenCLIM_UrbanFlood Workflow. These runs were part of the NERC funded OpenCLIM (Open CLimate IMpacts modelling framework) project. This data can be used for the continued analysis of climate impacts and for comparison with future studies.
The data has been generated using the OpenCLIM_UrbanFlood workflow available on DAFNI (https://www.dafni.ac.uk/) and focuses on the cities of Newcastle, Norwich, Bath, Inverness and Swansea. The workflow was run for five cities across GB to analyse changes in flood risk for a large range of urban and climate futures. The workflow uses output datasets from the Urban Development Model (described below) to generate future urban landscapes.
A second model transformed the population density data into new urban form maps including building footprints. Passed through the 2-D hydrodynamic model CityCAT, a range of future storm events with varying intensities were modelled to capture changes in flow and water depths across the domain. Damages incurred as a result of flood waters were calculated and aggregated to the 1km grid level along with the number of commercial and residential buildings affected. The code for each model in the workflow is available within the OpenCLIM GitHub repository (linked in Related Documents).
The Urban Development Model (Newcastle University) presents plausible realisations of future urban change. These are initiated from the 2017 Ordnance Survey urban-rural land use ('UDMbaseline') and projected into the future using attractors and constraints based on the UK's Shared Socio-ecconomic Pathways (SSPs).
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Five cities across GB were modelled using the OpenCLIM_UrbanFlood Workflow. Models in the workflow include the Urban Development Model, which generates new urban form based on projected population / density change, and the CityCAT model, a high resolution, 2-D flood model. The workflow generates maps of urban flood risk for a wide range of future scenarios. |
| File Format: |
Files are BADC-CSV and TIFF formatted
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Process overview
| Title | CityCAT - City Catchment Analysis Tool |
| Abstract | The City Catchment Analysis Tool (CityCAT) is a 2-D hydrodynamic flood model, that models complex free-surface flow over a domain, capturing permeable and impermeable surfaces and obstacles to flow such as buildings and other man-made features. Glenis, V., Kutija, V., & Kilsby, C. G. (2018). A fully hydrodynamic urban flood modelling system representing buildings, green space and interventions. Environmental Modelling & Software, 109, 272-292. https://doi.org/10.1016/j.envsoft.2018.07.018 |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- var_id: 11
- long_name: Damage
- units: Total damages incurred (GBP) in the grid cell
- var_id: 1
- long_name: FID
- units: Index.
- var_id: 8
- long_name: Mixed_Count
- units: Total 'Mixed Use' Buildings Flooded in grid cell
- var_id: 7
- long_name: Non_Residential_Count
- units: Total 'Non-Residential' Buildings Flooded in grid cell
- var_id: 6
- long_name: Residential_Count
- units: Total 'Residential' Buildings Flooded in grid cell
- var_id: 5
- long_name: Total_Building_Count
- units: Total Buildings Flooded in grid cell
- var_id: 9
- long_name: Unclassified_Count
- units: Total 'Unclassified Use' Buildings Flooded in grid cell
- var_id: 10
- long_name: Unknown_Count
- units: Total 'Unknown Use' Buildings Flooded in grid cell
- var_id: 4
- long_name: geometry
- units: 1km OS Grid Polygon Geometry
- var_id: 3
- long_name: id
- units: 1km OS Grid Reference
- var_id: 2
- long_name: tile_name
- units: 1km OS Grid Number
Co-ordinate Variables
Temporal Range
2020-01-01T00:00:00
2080-12-03T00:00:00
Geographic Extent
60.0000° |
||
-8.0000° |
2.0000° |
|
50.0000° |