Mozambique - Standardized Precipitation Index (SPI)

The Standardized Precipitation Index (SPI) is the globally recommended standard for characterizing meteorological drought. It quantifies observed precipitation as a standardized deviation from the long-term probability distribution function for a specific location and time scale. This dataset typically includes multiple time-scales (e.g., 1-month, 3-month, 6-month, 12-month) to capture different types of drought impacts, from immediate soil moisture deficits to long-term hydrological stress. Because SPI is normalized, it allows for safe comparisons between different climatic zones—allowing a wet region and a dry region to be compared on the same scale of drought severity.

Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.

Layer provides distribution of landslide hazard, describing by an index of very low to very high hazard. Data produced under the ADRF Sub Saharan Africa Risk Profiles project. The project provides also risk data produced, exposure and hazard data used in the analyses.

The Indicator for Meteorological Drought Tracking provides a clear spatio-temporal identification of persistent low-precipitation conditions at the global scale and at near real-time. It provides the outline and the duration and total spatial extent of drought clusters. The indicator is based on the Standardized Precipitation Index (SPI) for 3-months accumulation periods (i.e. SPI-3). The SPI indicator is derived from the ERA5 fifth generation reanalysis for the global climate and weather of the ECMWF, with baseline 1991-2020. Drought events are identified by means of a three dimensional density-based clustering algorithm (DBSCAN).

This Archive contains shapefiles for FEWS NET Food Security Outlook for **Southern Africa**. It was last updated on September 26, 2014. The classification used is IPC V2.0 Compatible, aimed to address acute food insecurity. The two shapefiles represent the two analytic periods: * southernafrica201307_ML1 Most likely food security outcome for July-September 2014 * southernafrica201407_ML2 Most likely food security outcome for October-December 2014 Within the shapefiles, the food security outlook is contained in a field named as ML1 or ML2 according to the outlook period. The code itself is the IPC phase. Two additional codes are used: * 66 = water * 88 = parks, forests, reserves * 99 = missing data (usually urban centers).

Rainfall and precipitation data for Sudan showing the spatial distribution of annual or seasonal rainfall. Use this layer for agricultural planning, drought monitoring, flood risk assessment, water resource management, and climate analysis.