WMS MERIT Hydro is a global hydrography datasets, developed based on the MERIT DEM and multiple inland water maps. It contains flow direction, flow accumulation, hydrologically adjusted elevations, and river channel width. Yamazaki D., D. Ikeshima, J. Sosa, P.D. Bates, G.H. Allen, T.M. Pavelsky MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets Water Resources Research, vol.55, pp.5053-5073, 2019, doi: 10.1029/2019WR024873 EPSG:4326 -180.0 180.0 -90.0 90.0 test:GLOBAL_PC_h5glob_in_test GLOBAL_PC_h5glob WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ingeniar:PGA_1500y The seismic hazard map (PGA = 1500 years) indicates the mean value of peak ground acceleration (PGA) for a return period of 1500 years. The map has global coverage and a resolution of 30' (~55.5 kilometers at the equator). Hazard Earthquakes Current climate EPSG:4326 CRS:84 -181.764591218774 181.4634409897642 -64.09267603876499 89.6064912944738 ingeniar:PGA_2475y The seismic hazard map (PGA = 2475 years) indicates the mean value of peak ground acceleration (PGA) for a return period of 2475 years. The map has global coverage and a resolution of 30' (~55.5 kilometers at the equator). Hazard Earthquakes Current climate EPSG:4326 CRS:84 -181.7645912187736 181.46344098976442 -64.09267603876486 89.60649129447384 ingeniar:PGA_250y The seismic hazard map (PGA = 250 years) indicates the mean value of peak ground acceleration (PGA) for a return period of 250 years. The map has global coverage and a resolution of 30' (~55.5 kilometers at the equator). Hazard Earthquakes Current climate EPSG:4326 CRS:84 -181.764591218774 181.4634409897642 -64.09267603876499 89.6064912944738 ingeniar:PGA_475y The seismic hazard map (PGA = 475 years) indicates the mean value of peak ground acceleration (PGA) for a return period of 475 years. The map has global coverage and a resolution of 30' (~55.5 kilometers at the equator). Hazard Earthquakes Current climate EPSG:4326 CRS:84 -181.764591218774 181.4634409897642 -64.09267603876499 89.6064912944738 ingeniar:PGA_975y The seismic hazard map (PGA = 975 years) indicates the mean value of peak ground acceleration (PGA) for a return period of 975 years. The map has global coverage and a resolution of 30' (~55.5 kilometers at the equator). Hazard Earthquakes Current climate EPSG:4326 CRS:84 -181.764591218774 181.4634409897642 -64.09267603876499 89.6064912944738 ingeniar:Wind_CC_T100 The tropical cyclone wind map indicates the mean value of wind velocity for a return period of 100 years. The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios. The map has global coverage and a resolution of 6' (~11.1 kilometers at the equator). Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_CC_T25 The tropical cyclone wind map indicates the mean value of wind velocity for a return period of 25 years. The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios. The map has global coverage and a resolution of 6' (~11.1 kilometers at the equator). Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_CC_T250 The tropical cyclone wind map indicates the mean value of wind velocity for a return period of 250 years. The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios. The map has global coverage and a resolution of 6' (~11.1 kilometers at the equator). Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_CC_T50 The tropical cyclone wind map indicates the mean value of wind velocity for a return period of 50 years. The tropical cyclone events used for the elaboration of this map consider climate change based on models representative concentration pathways (RCP) scenarios. The map has global coverage and a resolution of 6' (~11.1 kilometers at the equator). Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_T100 The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 test:Wind_T100_reprojected_opt_in_test Wind_T100_reprojected_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_T25 The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_T250 The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 ingeniar:Wind_T50 The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Tropical cyclone Wind Climate change EPSG:4326 CRS:84 -180.05001389274798 180.05001389274798 -70.05003523608175 72.0894479536932 unepgrid:bem_1x1_valfis This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 unepgrid:bem_1x1_valfis_nres This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 unepgrid:bem_1x1_valfis_res This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 test:bem_5x5_valfis bem_5x5_valfis WCS GeoTIFF EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:bem_5x5_valfis This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:bem_5x5_valfis_nres This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:bem_5x5_valfis_res This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BEM Building GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:biem_1x1_valfis This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 unepgrid:biem_1x1_valfis_nres This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 unepgrid:biem_1x1_valfis_res This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.0 180.0000000001191 -89.99999999429878 86.00000000575943 unepgrid:biem_5x5_valfis This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:biem_5x5_valfis_nres This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:biem_5x5_valfis_res This dataset was produced by UNEP/GRID-Geneva in July 2023. Exposure BIEM Building Infrastructure GIRI EPSG:4326 CRS:84 -180.04166666633364 179.9583333336651 -90.00833335758603 85.99166664241335 unepgrid:codeglob MERIT Hydro is a global hydrography datasets, developed based on the MERIT DEM and multiple inland water maps. It contains flow direction, flow accumulation, hydrologically adjusted elevations, and river channel width. Yamazaki D., D. Ikeshima, J. Sosa, P.D. Bates, G.H. Allen, T.M. Pavelsky MERIT Hydro: A high-resolution global hydrography map based on latest topography datasets Water Resources Research, vol.55, pp.5053-5073, 2019, doi: 10.1029/2019WR024873 codeglob WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h1000glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h100glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h10glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h200glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h25glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h2glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h500glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h50glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_pc_h5glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods Current climate EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h1000glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h100glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h10glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h200glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h25glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h2glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h500glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h50glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp26_h5glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP2.6 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h1000glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h100glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h10glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h200glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h25glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h2glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h500glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h50glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:global_rcp85_h5glob The hydrological model used is the Continuum model (Silvestro et al. 2013 and 2015). It is a continuous, distributed and physically based hydrological model able to reproduce the spatial-temporal evolution of soil moisture, energy fluxes, surface soil temperature, evapotranspiration and discharge. Climate dataset used for the simulation of basin response are the W5E5 Global Meteorological dataset for present climate, and the ISIMIP3b Global Meteorological reanalysis dataset for the futur climate. In order to generate flood hazard maps, resulting discharge estimates are input to an hydraulic model based on the Manning equation that compute channel uniform flow depth. This simplified approach fits to determine flood maps on large areas. Hazard Floods RCP8.5 EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 unepgrid:gwbmglob gwbmglob WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 ngi:n1_mosaic_wgs84_opt Susceptibility Class of Landslides Triggered By Earthquakes n1_mosaic_wgs84_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.00041666666667 179.99958333334152 -60.00041666666996 84.99958333333333 ngi:n2_mosaic_wgs84_opt Susceptibility Class of Landslides Triggered By Precipitation current climate n2_mosaic_wgs84_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.00041666666667 179.99958333334152 -60.00041666666996 84.99958333333333 ngi:n3_mosaic_wgs84_opt Susceptibility Class of Landslides Triggered By Precipitation SSP126 n3_mosaic_wgs84_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.00041666666667 179.99958333334152 -60.00041666666996 84.99958333333333 ngi:n4_mosaic_wgs84_opt Susceptibility Class of Landslides Triggered By Precipitation SSP586 n4_mosaic_wgs84_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.00041666666667 179.99958333334152 -60.00041666666996 84.99958333333333 ngi:n5_mosaic_wgs84_opt Maximum terrain slope angle n5_mosaic_wgs84_opt WCS GeoTIFF EPSG:4326 CRS:84 -180.00041666666667 179.99958333334152 -60.00041666666996 84.99958333333333 unepgrid:shadglob shadglob WCS GeoTIFF EPSG:4326 CRS:84 -180.0 180.0 -90.0 90.0 cima:sma-01_SSP126_dur_GF Average duration of a drought event in days as defined by the SMA-1 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SMA SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP126_num_GF Number of Drought events as defined by the SMA-1 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SMA SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP126_sev1_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SMA SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP126_sev2_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SMA SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP126_sev3_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SMA SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP585_dur_GF Average duration of a drought event in days as defined by the SMA-1 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SMA SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP585_num_GF Number of Drought events as defined by the SMA-1 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SMA SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP585_sev1_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SMA SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP585_sev2_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SMA SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_SSP585_sev3_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SMA SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_past_dur_GF Average duration of a drought event in days as defined by the SMA-1 indicator a consecutive series of days below -1 in present climate conditions Hazard Droughts SMA Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_past_num_GF Number of Drought events as defined by the SMA-1 indicator a consecutive series of days below -1 in present climate conditions Hazard Droughts SMA Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_past_sev1_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SMA Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_past_sev2_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SMA Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:sma-01_past_sev3_GF Drought Hazard map based on the SMA-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SMA-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SMA Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP126_dur_GF Average duration of a drought event in days as defined by the SPI-6 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SPI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP126_num_GF Number of Drought events as defined by the SPI-6 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SPI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP126_sev1_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SPI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP126_sev2_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SPI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP126_sev3_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SPI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP585_dur_GF Average duration of a drought event in days as defined by the SPI-6 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SPI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP585_num_GF Number of Drought events as defined by the SPI-6 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SPI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP585_sev1_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SPI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP585_sev2_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SPI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_SSP585_sev3_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SPI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_past_dur_GF Average duration of a drought event in days as defined by the SPI-6 indicator a consecutive series of days below -1 in present climate condition Hazard Droughts SPI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_past_num_GF Number of Drought events as defined by the SPI-6 indicator a consecutive series of days below -1 in present climate conditions Hazard Droughts SPI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_past_sev1_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months. Hazard Droughts SPI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_past_sev2_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months. Hazard Droughts SPI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:spi-06_past_sev3_GF Drought Hazard map based on the SPI-6 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SPI-6 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months. Hazard Droughts SPI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP126_dur_GF Average duration of a drought event in days as defined by the SSI-1 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SSI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP126_num_GF Number of Drought events as defined by the SSI-1 indicator a consecutive series of days below -1 using SSP1 RCP2.6 Climate change scenario Hazard Droughts SSI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP126_sev1_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SSI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP126_sev2_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SSI SSP1 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP126_sev3_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP1 RCP2.6 Climate change scenario. Hazard Droughts SSI SSP5 RCP2.6 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP585_dur_GF Average duration of a drought event in days as defined by the SSI-1 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SSI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP585_num_GF Number of Drought events as defined by the SSI-1 indicator a consecutive series of days below -1 using SSP5 RCP8.5 Climate change scenario Hazard Droughts SSI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP585_sev1_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SSI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP585_sev2_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SSI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_SSP585_sev3_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months using SSP5 RCP8.5 Climate change scenario Hazard Droughts SSI SSP5 RCP8.5 EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_past_dur_GF Average duration of a drought event in days as defined by the SSI-1 indicator a consecutive series of days below -1 in present climate conditions Hazard Droughts SSI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_past_num_GF Number of Drought events as defined by the SSI-1 indicator a consecutive series of days below -1 in present climate conditions Hazard Droughts SSI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_past_sev1_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 25 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SSI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_past_sev2_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 10 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SSI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333 cima:ssi-01_past_sev3_GF Drought Hazard map based on the SSI-1 indicator. The map refers to the return period RT = 5 Years and it is computated on the basis of exceeding the SSI-1 value of one Sigma in each pixel of the analyised domain for a duration of at least 3 consecutive months Hazard Droughts SSI Current climate EPSG:4326 CRS:84 -179.13333333333333 190.9333333297222 -55.966666664444446 83.60000000083333