World Sea-Level Rise Dataset

Primary tabs

Sea-level rise (SLR) due to climate change is a serious global threat: The scientific evidence is now overwhelming. Continued growth of greenhouse gas emissions and associated global warming could well promote SLR of 1m in this century, and unexpectedly rapid breakup of the Greenland and West Antarctic ice sheets might produce a 3-5m SLR. In this research, we have assessed the consequences of continued SLR for 84 coastal developing countries. Geographic Information System (GIS) software has been used to overlay the best available, spatially-disaggregated global data on critical impact elements (land, population, agriculture, urban extent, wetlands, and GDP), with the inundation zones projected for 1-5m SLR. This research was carried out by the World Bank in 2006, and was funded by the Canadian Trust Fund (TF030569) sponsored by the Canadian International Development Agency (CIDA).

Type: 
Other
Topics: 
Climate Change
Economy Coverage: 
Low Income
Lower Middle Income
Upper Middle Income
Languages Supported: 
English
Geographical Coverage: 
Brunei Darussalam
Cambodia
China
Indonesia
Korea, Dem. People's Rep.
Korea, Rep.
Malaysia
Myanmar
Papua New Guinea
Philippines
Thailand
Vietnam
Argentina
Bahamas, The
Belize
Brazil
Chile
Costa Rica
Colombia
Cuba
Dominican Republic
Ecuador
El Salvador
Guatemala
Guyana
Haiti
Honduras
Jamaica
Mexico
Nicaragua
Panama
Peru
Suriname
Uruguay
Venezuela, RB
Algeria
Egypt, Arab Rep.
Djibouti
Iran, Islamic Rep.
Kuwait
Morocco
Oman
Qatar
Saudi Arabia
United Arab Emirates
Tunisia
Yemen, Rep.
Bangladesh
India
Pakistan
Sri Lanka
Angola
Benin
Cameroon
Congo, Dem. Rep.
Congo, Rep.
Côte d'Ivoire
Ethiopia
Equatorial Guinea
Gabon
Gambia, The
Ghana
Guinea
Guinea-Bissau
Kenya
Liberia
Madagascar
Mauritania
Mozambique
Namibia
Nigeria
São Tomé and Principe
Senegal
Sierra Leone
Somalia
South Africa
Sudan
Tanzania
Togo
Access Options:
Download
Release Date: 
November 10, 2011

Last Updated

Last Updated: 
November 20, 2013

No Visualizations Available.

Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: Susmita Dasgupta et al. Sea-Level Rise (SLR) 2006. Ref. WLD_2006_SLR_v01_M. Dataset downloaded from https://datacatalog.worldbank.org on [date].

Sea-level rise (SLR) due to climate change is a serious global threat: The scientific evidence is now overwhelming. Continued growth of greenhouse gas emissions and associated global warming could well promote SLR of 1m in this century, and unexpectedly rapid breakup of the Greenland and West Antarctic ice sheets might produce a 3-5m SLR. In this research, we have assessed the consequences of continued SLR for 84 coastal developing countries. Geographic Information System (GIS) software has been used to overlay the best available, spatially-disaggregated global data on critical impact elements (land, population, agriculture, urban extent, wetlands, and GDP), with the inundation zones projected for 1-5m SLR. This research was carried out by the World Bank in 2006, and was funded by the Canadian Trust Fund (TF030569) sponsored by the Canadian International Development Agency (CIDA).

FieldValue
Groups audience
Modified Date
2019-06-03
Release Date
Periodicity
Periodicity not specified
Identifier
cb95a86a-7067-4d32-b6af-bd0e3e40753e
License
License Not Specified
Contact Email
Public Access Level
Public
Rating: 
0
No votes yet
Type: 
Languages Supported: 
Data Classification of a Dataset: 
DEC
Programatic Region: 
Release Date: 
Thursday, November 10, 2011
Last Updated Date: 
Wednesday, November 20, 2013
Granularity: 
Citation Text: 
Use of the dataset must be acknowledged using a citation which would include: - the Identification of the Primary Investigator - the title of the survey (including country, acronym and year of implementation) - the survey reference number - the source and date of download Example: Susmita Dasgupta et al. Sea-Level Rise (SLR) 2006. Ref. WLD_2006_SLR_v01_M. Dataset downloaded from https://datacatalog.worldbank.org on [date].
Modified date: 
16029
Primary Dataset: 
Yes

Data Access and Licensing

This dataset is classified as Public under the Access to Information Classification Policy. Users inside and outside the Bank can access this dataset.

This dataset is licensed under CC-BY 4.0

CC-BY 4.0

Share Metadata

The information on this page (the dataset metadata) is also available in these formats.

PRINT EMAIL JSON RDF