Research Data Leeds Repository

Akaki HEC-RAS model files and associated geospatial data files

Carr, Andrew B. and Trigg, Mark A. and Haile, Alemseged T. and Bernhofen, Mark V. and Alemu, Abel N. and Bekele, Tilaye W. and Walsh, Claire L. (2023) Akaki HEC-RAS model files and associated geospatial data files. University of Leeds. [Dataset] https://doi.org/10.5518/1428

Dataset description

A HEC-RAS model along with model results and associated geospatial datasets. These data accompany the research article 'Using Global Datasets to Estimate Flood Exposure at the City Scale: An Evaluation in Addis Ababa'.

Subjects:	F000 - Physical sciences > F700 - Science of aquatic & terrestrial environments > F750 - Environmental sciences > F752 - Hydrology
Divisions:	Faculty of Engineering and Physical Sciences > School of Civil Engineering
Related resources:	Location Type https://doi.org/10.3389/fenvs.2024.1330295 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	16 Nov 2023 09:27
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/1193
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Carr, Andrew B. https://orcid.org/0000-0001-8970-7149 University of Leeds https://ror.org/024mrxd33 ror Trigg, Mark A. https://orcid.org/0000-0002-8412-9332 University of Leeds https://ror.org/024mrxd33 ror Haile, Alemseged T. International Water Management Institute, Addis Ababa, Ethiopia https://ror.org/048es2e39 Bernhofen, Mark V. https://orcid.org/0000-0002-4919-0111 University of Leeds https://ror.org/024mrxd33 ror Alemu, Abel N. International Water Management Institute, Addis Ababa, Ethiopia https://ror.org/048es2e39 Water Technology Institute, Arba Minch University https://ror.org/00ssp9h11 ror Bekele, Tilaye W. Walsh, Claire L. Newcastle University https://ror.org/01kj2bm70 ror Type of data: Dataset Research funders: UKRI Grant numbers: ES/S008179/1 Publication date: 2023 Resource language: English Publisher: University of Leeds Contact Email Address: a.b.carr@leeds.ac.uk Last Modified: 12 Feb 2024 13:09

Files

Data

Akaki_HECRAS_model [1GB] Akaki_HECRAS_model [1GB] Akaki_HECRAS_model [1GB] Visible to: Anyone File name: Akaki_HECRAS_model.zip Content type: Data Description: A folder containing the HEC-RAS model project files for the return period event model runs including the reference model and each of the global dataset tests. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB

Akaki_HECRAS_model_historical [338MB] Akaki_HECRAS_model_historical [338MB] Akaki_HECRAS_model_historical [338MB] Visible to: Anyone File name: Akaki_HECRAS_model_historical.zip Content type: Data Description: A folder containing the HEC-RAS model project files for the historical event simulation used for validation. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 338MB

RM_5_DSM1.tif [24MB] RM_5_DSM1.tif [24MB] RM_5_DSM1.tif [24MB] Visible to: Anyone File name: RM_5_DSM1.tif Content type: Data Description: Reference model – maximum flood depth grid results; 1-in-5 year; downscaling method 1 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 24MB

RM_5_DSM2.tif [18MB] RM_5_DSM2.tif [18MB] RM_5_DSM2.tif [18MB] Visible to: Anyone File name: RM_5_DSM2.tif Content type: Data Description: Reference model – maximum flood depth grid results; 1-in-5 year; downscaling method 2 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 18MB

RM_100_DSM1.tif [29MB] RM_100_DSM1.tif [29MB] RM_100_DSM1.tif [29MB] Visible to: Anyone File name: RM_100_DSM1.tif Content type: Data Description: Reference model – maximum flood depth grid results; 1-in-100 year; downscaling method 1 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 29MB

RM_100_DSM2.tif [24MB] RM_100_DSM2.tif [24MB] RM_100_DSM2.tif [24MB] Visible to: Anyone File name: RM_100_DSM2.tif Content type: Data Description: Reference model – maximum flood depth grid results; 1-in-100 year; downscaling method 2 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 24MB

PXR_5_DSM1.tif [28MB] PXR_5_DSM1.tif [28MB] PXR_5_DSM1.tif [28MB] Visible to: Anyone File name: PXR_5_DSM1.tif Content type: Data Description: Global ‘PXR’ rainfall dataset test – maximum flood depth grid results; 1-in-5 year; downscaling method 1 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 28MB

PXR_5_DSM2.tif [22MB] PXR_5_DSM2.tif [22MB] PXR_5_DSM2.tif [22MB] Visible to: Anyone File name: PXR_5_DSM2.tif Content type: Data Description: Global ‘PXR’ rainfall dataset test – maximum flood depth grid results; 1-in-5 year; downscaling method 2 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 22MB

PXR_100_DSM1.tif [33MB] PXR_100_DSM1.tif [33MB] PXR_100_DSM1.tif [33MB] Visible to: Anyone File name: PXR_100_DSM1.tif Content type: Data Description: Global ‘PXR’ rainfall dataset test – maximum flood depth grid results; 1-in-100 year; downscaling method 1 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 33MB

PXR_100_DSM2.tif [28MB] PXR_100_DSM2.tif [28MB] PXR_100_DSM2.tif [28MB] Visible to: Anyone File name: PXR_100_DSM2.tif Content type: Data Description: Global ‘PXR’ rainfall dataset test – maximum flood depth grid results; 1-in-100 year; downscaling method 2 Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 28MB

06SEP2017_0700_DSM1.tif [18MB] 06SEP2017_0700_DSM1.tif [18MB] 06SEP2017_0700_DSM1.tif [18MB] Visible to: Anyone File name: 06SEP2017_0700_DSM1.tif Content type: Data Description: Historical event simulating flooding on 6 September 2017 – flood depth grid results at 7am UTC; downscaling method 1. Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 18MB

T37PDK_20170906T073611_B8B11B4_ LandWater_virtual_clipped.tif [3MB] T37PDK_20170906T073611_B8B11B4_ LandWater_virtual_clipped.tif [3MB] T37PDK_20170906T073611_B8B11B4_ LandWater_virtual_clipped.tif [3MB] Visible to: Anyone File name: T37PDK_20170906T073611_B8B11B4_LandWater_virtual_clipped.tif Content type: Data Description: Sentinel 2 optical satellite image observing flooding on 6 September 2017. Bands 8, 11 and 4. Mime-Type: image/tiff License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3MB

T37PDK_20170906T073611_MNDWI.shp [95kB] T37PDK_20170906T073611_MNDWI.shp [95kB] T37PDK_20170906T073611_MNDWI.shp [95kB] Visible to: Anyone File name: T37PDK_20170906T073611_MNDWI.shp Content type: Data Description: Flood extent extracted from the Sentinel 2 image. License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 95kB