0d5d69ae-7f50-40ee-a0c9-2522de138f27
English
ISO/IEC 8859-1 (also known as Latin 1)
dataset
dataset
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
info@eidc.ac.uk
https://eidc.ac.uk/
EIDC website
The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
information
pointOfContact
2024-03-04T17:27:58
UK GEMINI
2.3
WGS 84
Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100
2022-11-08
publication
https://catalogue.ceh.ac.uk/id/0d5d69ae-7f50-40ee-a0c9-2522de138f27
10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27
doi:
Hawker, L., Neal, J., Pham, K.N., Hirabayashi, Y., Yamazaki, D. (2022). Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 . NERC EDS Environmental Information Data Centre 10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27
This dataset contains fluvial flood maps of the present day 1 in 20 year return period, and corresponding flood extents for 3 SSP (Shared Socioeconomic Pathway)/RCP(Representative Concentration Pathway) scenarios for the future (2070-2100). Change in flood return periods are estimated using CMIP6 projections and subsequently used to extract flood maps from a global flood model. Full details about this dataset can be found at https://doi.org/10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27
Hawker, L.
University of Bristol
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-8317-7084
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Neal, J.
University of Bristol
enquiries@ceh.ac.uk
https://orcid.org/0000-0001-5793-9594
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
author
Pham, K.N.
University of Economics Ho Chi Minh city
enquiries@ceh.ac.uk
author
Hirabayashi, Y.
Shibaura Institute of Technology
enquiries@ceh.ac.uk
author
Yamazaki, D.
University of Tokyo
enquiries@ceh.ac.uk
author
Hawker, L.
University of Bristol
enquiries@ceh.ac.uk
https://orcid.org/0000-0002-8317-7084
ORCID record
ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
information
pointOfContact
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
custodian
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
University of Bristol
enquiries@ceh.ac.uk
owner
Fathom
enquiries@ceh.ac.uk
owner
otherRestrictions
no limitations
otherRestrictions
This resource is available under the terms of the Open Government Licence
otherRestrictions
If you reuse this data, you should cite: Hawker, L., Neal, J., Pham, K.N., Hirabayashi, Y., Yamazaki, D. (2022). Modelled fluvial flood hazard maps in Vietnam for the period 2070-2100 . NERC EDS Environmental Information Data Centre https://doi.org/10.5285/0d5d69ae-7f50-40ee-a0c9-2522de138f27
grid
90
English
utf8
inlandWaters
2070-01-01
2100-12-31
98.613
114.609
5.504
25.573
TIFF
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
distributor
https://data-package.ceh.ac.uk/sd/0d5d69ae-7f50-40ee-a0c9-2522de138f27.zip
Supporting information
Supporting information available to assist in re-use of this dataset
information
https://data-package.ceh.ac.uk/data/0d5d69ae-7f50-40ee-a0c9-2522de138f27
Download the data
Download a copy of this data
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dataset
dataset
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
This version of the global flood model develops that of Sampson et al (2015) by including an improved method to estimate channel conveyance (Neal et al., 2021) and an improved elevation dataset (Yamazaki et al., 2017).