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ClimateAdapt/wei_rb_base_jja (MapServer)

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Service Description: Water stress indicator WEI for summer (June, July, and August) on river basin level for ClimWatAdapt base line.\n\nA water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. \n\nWEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4\nmedium water stress, and a value greater than 0.4 severe water stress. \n\nThis variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability during June, July and August. Summer WEI is calculated for the summer season (June, July, August) on a river basin level forthe baseline and the 2050s. Water availability is averaged over the summer season from the climate normal period and the future time slice (2050s). As in 1), the median of the hydrological model simulations is used. Total water withdrawals are computed for the summer season of the years 2005 and 2050 (EcF and SuE). Here, annual values for the domestic, industry and livestock sectors are equally distributed to every month; irrigation water withdrawals are simulated on a monthly basis and aggregated to seasonal values.\n\nData source: http://climate-adapt.eea.europa.eu/

Map Name: wei_rb_base_jja

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Layers: Description: Water stress indicator WEI for summer (June, July, and August) on river basin level for ClimWatAdapt base line.\n\nA water stress indicator is defined as the total withdrawal of freshwater resources in relation to the long-term average availability of the freshwater water resources within a river (sub)basin. One of the most important indicators for water scarcity or water stress is the water exploitation index (WEI) or water stress indicator (w.t.a.), which is defined as the total water withdrawals-to-water availability ratio within a river basin. Water scarcity can be the result of intensive water use, low water availability (climate driven) or a combination of these pressures. The indicator provides to policy makers a quick overview of areas that may encounter water shortage problems. \n\nWEI or a w.t.a.-value between 0.0 and 0.2 is considered a low water stress, WEI between 0.2 and 0.4\nmedium water stress, and a value greater than 0.4 severe water stress. \n\nThis variant of the water exploitation index is defined as the ratio of water withdrawals in all sectors to water availability during June, July and August. Summer WEI is calculated for the summer season (June, July, August) on a river basin level forthe baseline and the 2050s. Water availability is averaged over the summer season from the climate normal period and the future time slice (2050s). As in 1), the median of the hydrological model simulations is used. Total water withdrawals are computed for the summer season of the years 2005 and 2050 (EcF and SuE). Here, annual values for the domestic, industry and livestock sectors are equally distributed to every month; irrigation water withdrawals are simulated on a monthly basis and aggregated to seasonal values.\n\nData source: http://climate-adapt.eea.europa.eu/

Copyright Text: European Environment Agency

Spatial Reference: 4326  (4326)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriDecimalDegrees

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, AMF, geoJSON

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



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