This paper examines drought characteristics as an evidence of climate change in two agro-
climatic zones of Nigeria and farmers' climate change perceptions of impacts and adaptation …

This study assesses the climate change impact on rainfall and drought incidents across
Nigeria. Linear regression, Mann-Kendall tests and lag-1 serial correlation were adopted to …

Investigating climatology and predicting rainfall amounts are crucial for planning and
mitigating the risks caused by variable rainfall. This study utilized two multivariate …

This study focuses on investigating the chaotic and multifractal behavior of atmospheric time
series of solar radiation (solar), maximum temperature (Tmax), and minimum temperature …

Estimation of actual evapotranspiration (ETa) is challenging due to its complex interactions
with surrounding environments; thus, understanding the complexity and predictability of ETa …

In view of current concerns over global warming and climate change, in order to contribute to
a better geographically explicit understanding of complexity of temperature dynamics over …

In this paper, we focus on the prediction issue of the nonlinear chaotic time series. In
particular, we introduce the modified echo state network (M-ESN) to predict the time series of …

The complexity of hydrological data requires an understanding of its spatiotemporal
evolution for effective modeling and prediction. In this study, the underlying spatiotemporal …

In this work we analyze predictability and complexity of monthly rainfall temporal series
recorded from 1950 to 2012, at 133 gauging stations in Pernambuco state, northeastern …

The use of satellite and reanalysis weather product is gaining traction in the scientific
community especially in developing worlds where in situ data are sparse. Tropical locations …