A hidden Markov model (HMM) is used to describe daily rainfall occurrence at ten gauge stations in the state of Ceará in northeast Brazil during the February–April wet season 1975–2002. The model assumes that rainfall occurrence is governed by a few discrete states, with Markovian daily transitions between them. Four “hidden” rainfall states are identified. One pair of the states represents wet...

this study investigates the contributions of atlantic ocean to june-august rainfall over uganda and western kenya (ku). the study has utilized the datasets including precipitation from the global precipitation climatology centre, north atlantic oscillation index (naoi), south atlantic ocean dipole index (saodi), era-interim reanalysis, and the atlantic ocean sea surface temperature (sst). singu...

there is a general consensus that climate change has impact on the intensity and frequency of rainfall events. however, very little research is available about the changes in short term rainfall extremes. the focus of this paper has been on the change in annual and monthly rainfall extremes in ontario. the results indicate a greater variability (increase and decrease) among stations for shorter...

Attempts were made to study temporal variation in monthly, seasonal and annual rainfall over Kerala, India, during the period from 1871 to 2005. Longterm changes in rainfall determined by Man-Kendall rank statistics and linear trend. The analysis revealed significant decrease in southwest monsoon rainfall while increase in post-monsoon season over the State of Kerala which is popularly known as...

Four methods of downscaling daily rainfall sequences from general circulation model (GCM) simulations are intercompared over Senegal, using a 13-station network of daily observations during July–September 1961–98. The local scaling method calibrates raw GCM daily rainfall at the closest grid point to a given station so that the climatological distribution of rainfall matches the observed one. T...

Introduction Conclusions References

This study examines space–time characteristics of seasonal rainfall predictability in a tropical region by analyzing observed data and model simulations over Senegal. Predictability is analyzed in terms of the spatial coherence of observed interannual variability at the station scale, and within-ensemble coherence of general circulation model (GCM) simulations with observed sea surface temperat...