WRI Aqueduct Floods Hazard Maps Version 2

WRI/Aqueduct_Flood_Hazard_Maps/V2
Dataset Availability
2010-01-01T00:00:00Z–2080-12-31T23:59:59Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("WRI/Aqueduct_Flood_Hazard_Maps/V2")
Tags
flood monitoring wri

Description

Aqueduct Floods data measures riverine and coastal food risks under both current baseline conditions and future projections in 2030, 2050, and 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods helps to conduct comprehensive cost-benefit analysis to evaluate the value of dike food protection strategies.

Aqueduct Floods aims to empower disaster risk analysts and managers with quantitative information on food risks and adaptation strategy costs, and to help inform policy and investment decision-making.

This technical note explains in detail the framework, methodology, and data used in developing Aqueduct Floods.

Bands

Resolution
1000 meters

Bands

Name Units Min Max Description
inundation_depth m 0* 32.05*

Flood inundation depth
* estimated min or max value

Image Properties

Image Properties

Name Type Description
climatescenario STRING

Climate Scenario types:

  • historical: Baseline condition/ no climate scenario needed
  • rcp4p5: Representative Concentration Pathway 4.5 (steady carbon emissions)
  • rcp8p5: Representative Concentration Pathway 8.5 (rising carbon emissions)
floodtype STRING

Type of Flood:

  • inuncoast: Coastal flood hazard
  • inunriver: Riverine flood hazard
projection INT

Sea level rise scenario (in percentile)

  • 5: A low sea level rise scenario
  • 50: The median sea level rise projection
  • 95: A high sea level rise scenario
returnperiod INT

Return period is the average time interval expected between hazard events of a given magnitude or greater (in years). The flood hazard maps are generated for return periods of 1, 2, 5, 10, 25, 50, 100, 250, 500, and 1000 years.
subsidence STRING

Applies only for inuncoast flood type

  • nosub: Subsidence not included in projection
  • wtsub: Subsidence included in projection
model STRING

Applies only for inunriver flood type, represents type of model used.

  • 000000000WATCH: Baseline condition
  • 00000NorESM1-M: (GCM model) Bjerknes Centre for Climate Research, Norwegian Meteorological Institute
  • 0000GFDL_ESM2M: (GCM model) Geophysical Fluid Dynamics Laboratory (NOAA)
  • 0000HadGEM2-ES: (GCM model) Met Office Hadley Centre
  • 00IPSL-CM5A-LR: (GCM model) Institut Pierre Simon Laplace
year INT

Flood occurence year

Terms of Use

Terms of Use

The WRI datasets are available without restriction on use or distribution. WRI does request that the user give proper attribution and identify WRI, where applicable, as the source of the data. For more information check WRI's open data commitment,

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('WRI/Aqueduct_Flood_Hazard_Maps/V2');
var inundationDepth = dataset.select('inundation_depth');
var inundationDepthVis = {
  min: 0,
  max: 1,
  palette: ['ffffff','0000ff'],
};
Map.setCenter(-68.36, -6.73, 4);
Map.addLayer(inundationDepth, inundationDepthVis, 'Aqueduct Flood Hazard Maps');
Open in Code Editor
Aqueduct Floods data measures riverine and coastal food risks under both current baseline conditions and future projections in 2030, 2050, and 2080. In addition to providing hazard maps and assessing risks, Aqueduct Floods helps to conduct comprehensive cost-benefit analysis to evaluate the value of dike food protection strategies. Aqueduct Floods …
WRI/Aqueduct_Flood_Hazard_Maps/V2, flood,monitoring,wri
2010-01-01T00:00:00Z/2080-12-31T23:59:59Z
Google Earth Engine