Drought is a complex natural phenomenon, so, precise prediction of drought is an effective
mitigation tool for measuring the negative consequences on agriculture, ecosystems …

Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent
years, global warming has caused a gradual rise in ocean temperatures. In order to survive …

Rainfall is the significant parameter for climate change, meteorological and hydrological
process. The present paper describes the seasonal rainfall patterns in the Rayalaseema …

To investigate variability patterns, to predict short-term and long-term changes of weather,
time-series data analysis is considered to be a valuable tool. The paper presents modelling …

Surface air temperature (SAT) is a key meteorological parameter. Modelling and forecasting
of the SAT has vital importance to understand the ecological and agricultural changes. We …

Indian southwest monsoon rainfall has a huge socioeconomic influence, and any changes
in monsoon rainfall patterns will have major consequences for agriculture, water supplies …

The main objective of the paper is to investigate the behavior, modeling, and predicting the
patterns of the seasonal rainfall in Tamil Nadu using the unobserved components model …

The Indian economy and food grain production are intricately tied to the spatial distribution
and the amount of rainfall during the summer monsoon period (June to September) …

The paper deals with modelling and forecasting the behaviour of monthly average maximum
and minimum temperature patterns through unobservable components model (UCM) for the …

The changes in amount and pattern of seasonal rainfall have a significant impact on
agriculture and water resources management in Coastal Andhra Pradesh (CAP) of India …