Revealing the spatio-temporal characteristics of drought in Mozambique and their relationship with large-scale climate variability

Mozambique. Mozambique does not currently have the necessary tools for systematic monitoring and forecasting of drought at a subnational scale. The purpose this study was to characterize conditions trends throughout country evaluate influence major climatic drivers on events (period 1950–2019). Drought were studied by means Standardized Precipitation Evapotranspiration Index (SPEI) run theory. principal component analysis technique k-means clustering method applied defining homogenous regions. Mann-Kendall trend test Rescaled Range statistical used temporal characteristics drought. cross-correlation method, spectral based Fast Fourier Transform cross-wavelet analysis, identify possible climate drivers. results are ultimately intended contribute development system in country. Three homogeneous regions can be defined South Centre showed more intense severe events. In all regions, significant towards higher incidence droughts long-term persistence found. El Niño-Southern Oscillation Darwin Sea Level Pressure anomalies identified as variability, especially southern These indices predictors models. • A stepwise spatio-temporal assessment prediction is proposed. Mozambique, which lacks effective tools. with distinctive found Niño 4 SST SLP forecast