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Storm surge on coastline CC - 50 Years
The storm surge hazard map indicates the mean run-up height on the coast for seven return periods. The return periods is 50 years. The map has coastal coverage with points in the countries with storm surge hazard.
Storm surge hazard is modeled only along the coastline. The process involves generating a grid along the coastline and 5km inland. In fact, no backwater effects were modeled, this is only due to the continent's contour map (shapefile) version used to create the grid mentioned on the coastline.
The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios.
In this project Mediterranean tropical-like cyclones were not included in the hazard assessment process. We considered only tropical cyclones as storms that develop in areas of low pressure over tropical oceans, and that are associated with several hazards such as strong winds and storm surge. These two hazards were assessed at a global level but given that although tropical cyclones are formed along the North Atlantic Ocean but do not occur in Europe, neither strong wings nor storm surge were modeled for European countries. Read More
Storm surge hazard is modeled only along the coastline. The process involves generating a grid along the coastline and 5km inland. In fact, no backwater effects were modeled, this is only due to the continent's contour map (shapefile) version used to create the grid mentioned on the coastline.
The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios.
In this project Mediterranean tropical-like cyclones were not included in the hazard assessment process. We considered only tropical cyclones as storms that develop in areas of low pressure over tropical oceans, and that are associated with several hazards such as strong winds and storm surge. These two hazards were assessed at a global level but given that although tropical cyclones are formed along the North Atlantic Ocean but do not occur in Europe, neither strong wings nor storm surge were modeled for European countries. Read More
Storm surge on coastline CC - 500 Years
The storm surge hazard map indicates the mean run-up height on the coast for seven return periods. The return periods is 500 years. The map has coastal coverage with points in the countries with storm surge hazard.
Storm surge hazard is modeled only along the coastline. The process involves generating a grid along the coastline and 5km inland. In fact, no backwater effects were modeled, this is only due to the continent's contour map (shapefile) version used to create the grid mentioned on the coastline.
The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios.
In this project Mediterranean tropical-like cyclones were not included in the hazard assessment process. We considered only tropical cyclones as storms that develop in areas of low pressure over tropical oceans, and that are associated with several hazards such as strong winds and storm surge. These two hazards were assessed at a global level but given that although tropical cyclones are formed along the North Atlantic Ocean but do not occur in Europe, neither strong wings nor storm surge were modeled for European countries. Read More
Storm surge hazard is modeled only along the coastline. The process involves generating a grid along the coastline and 5km inland. In fact, no backwater effects were modeled, this is only due to the continent's contour map (shapefile) version used to create the grid mentioned on the coastline.
The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios.
In this project Mediterranean tropical-like cyclones were not included in the hazard assessment process. We considered only tropical cyclones as storms that develop in areas of low pressure over tropical oceans, and that are associated with several hazards such as strong winds and storm surge. These two hazards were assessed at a global level but given that although tropical cyclones are formed along the North Atlantic Ocean but do not occur in Europe, neither strong wings nor storm surge were modeled for European countries. Read More
Surface wind
Surface wind. Units: m/s
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Susceptibility Class of Landslides Triggered By Earthquakes
The earthquake-induced landslides susceptibility map indicates the areas of the world that are more prone to landslides triggered by earthquakes. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The earthquake-induced landslides susceptibility map classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and soil moisture information from global datasets. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. The susceptibility map has global coverage and a resolution of 3 arc-sec. (~90 meters at the equator). The data is available as 5-degree x 5-degree tiles (6000 pixels x 6000 pixels), compressed into 30-degree x 30-degree packages.
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Susceptibility Class of Landslides Triggered By Precipitation - Existing climate
The precipitation-induced landslides susceptibility map for the existing climate indicates the areas of the world that are more prone to landslides in the current climate conditions. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The precipitation-induced landslides susceptibility map for the current climate classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and antecedent rainfall information from global datasets. Antecedent rainfall information has been obtained from the W5E5 dataset for the period 1979-2016. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. The susceptibility map has global coverage and a resolution of 3 " (~90 meters at the equator). The data is available as 5-degree x 5-degree tiles (6000 pixels x 6000 pixels), compressed into 30-degree x 30-degree packages."
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Susceptibility Class of Landslides Triggered By Precipitation - Lower bound
The precipitation-induced landslides susceptibility map for the lower bound (SSP126) climate scenario indicates the areas of the world that are more prone to landslides in future climate conditions. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The precipitation-induced landslides susceptibility map for the lower bound climate scenario classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and antecedent rainfall information from global datasets. Antecedent rainfall information has been obtained from the IPSL-CM6A-LR climate model from the ISIMIP3b dataset SSP126. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. The susceptibility map has global coverage and a resolution of 3 arc-sec.
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Susceptibility Class of Landslides Triggered By Precipitation - Upper bound
The precipitation-induced landslides susceptibility map for the upper bound (SSP586) climate scenario indicates the areas of the world that are more prone to landslides in future climate conditions. The landslide susceptibility is based on the model developed by NGI (Nadim et al., 2006, 2013; Jaedicke et al., 2013) but with improvements and refinements. The precipitation-induced landslides susceptibility map for the upper bound climate scenario classifies the terrain into five susceptibility classes by combining slope, vegetation, lithology, and antecedent rainfall information from global datasets. Antecedent rainfall information has been obtained from the IPSL-CM6A-LR climate model from the ISIMIP3b dataset SSP5868. The weights of different susceptibility factors were calibrated to the information available in landslide inventories and physical processes. The susceptibility map has global coverage and a resolution of 3 " (~90 meters at the equator). The data is available as 5-degree x 5-degree tiles (6000 pixels x 6000 pixels), compressed into 30-degree x 30-degree packages.
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Third Pole Climate Forum (TPCF)
a regional climate forum focused on the "Third Pole" region, which encompasses the Tibetan Plateau and surrounding high mountain ranges, including the Himalayas.
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Total Average Annual Loss (AAL) per Building & Infrastructure - Existing climate
Values of average annual loss (AAL) including all hazards. The AAL provides an estimator of losses that are likely to occur every year due to a specific hazard. Values of AAL are calculated per country, sector (buildings, power, telecommunications, roads and railways, water and wastewater, oil and gas, ports and airports) and subsector.
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Total Average Annual Loss (AAL) per Building & Infrastructure - Lower bound
Values of average annual loss (AAL) including all hazards. The AAL provides an estimator of losses that are likely to occur every year due to a specific hazard. Values of AAL are calculated per country, sector (buildings, power, telecommunications, roads and railways, water and wastewater, oil and gas, ports and airports) and subsector.
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