The EMC-BUILT product consists in three datasets, named EMC-BUILT-S (built-up surface), EMC-BUILT-S-NRES (non-residential built-up surface) and EMC-BUILT-GREENNESS (vegetation fraction in the built-up domain. The data is produced for the year 2022 and based on...

The Meteorological Drought Tracking indicator outlines drought areas as discrete events in space and time. The indicator is available at the global scale and at near real-time, updated every ten days (dekad). By providing information on the spatial-temporal de...

These geospatial vector datasets contain the centroids of segments of built-up grid cells derived from the GHS-BUILT-S Arctic Edition R2025A 1km gridded data. All adjacent grid cells with a built-up surface estimate >0 were merged to a vector object, and the c...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...

This layer provides an early warning of extreme temperature conditions over the world based on accumulated intensity of daily temperature exceedances of the forecast with lead times ranging from 0 to 3 months. These are derived from the forecasted daily maximu...