This discussion paper is/has been under review for the journal Hydrology and Earth System Sciences (HESS). Please refer to the corresponding final paper in HESS if available. Abstract Monsoon rainfall is of great importance for the agricultural production in both China and India. Understanding its rule and possibility of long term prediction is a challenge for research. This paper gives a joint...

This paper presents a new approach to the problem of modelling daily rainfall using neural networks. We first model the conditional distributions of rainfall amounts, in such a way that the model itself determines the order of the process, and the time-dependent shape and scale of the conditional distributions. After integrating over particular weather patterns, we are able to extract seasonal ...

It is widely recognised that the Murray-Darling Basin (MDB) in south-eastern Australia has been in the grip of a serious drought for many years. Over the period 1997−2006, mean annual rainfall has been approximately 16 percent lower than the long-term (1895−2006) average across the MDB. Runoff has been 39 percent lower over the same period. The continuing drought in the MDB has brought the need...

Rainfall in Kerala State, the southern part of Indian Peninsula in particular is caused by the two monsoons and the two cyclones every year. In general, climate and rainfall are highly nonlinear phenomena in nature giving rise to what is known as the ‘butterfly effect’. We however attempt to train an ABF neural network on the time series rainfall data and show for the first time that in spite o...

In this study, hydro-meteorological data collected from 1964 to 1976 on an approximately 5,000 ha predominantly forested coastal watershed (Turkey Creek) at the Francis Marion National Forest near Charleston, SC were analyzed to estimate annual evapotranspiration (ET) using four different empirical methods. The first one, reported by Zhang et al. (2001), that takes into account annual precipita...

BACKGROUND Key climatic factors influencing the transport of pesticides to drains and to depth were identified. Climatic characteristics such as the timing of rainfall in relation to pesticide application may be more critical than average annual temperature and rainfall. The fate of three pesticides was simulated in nine contrasting soil types for two seasons, five application dates and six syn...

Using long-term data on rainfall and annual runoff, an investigation was made of the spatial and temporal variability of rainfall and runoff in the Casamance River basin located in southern Senegal, West Africa. A 5-year moving average was employed to identify trends in the data. Monthly and annual rainfall tends to have been decreasing, and the annual maximum temperature rising from around the...

Abstract Evaluating how the changes in rainfall caused landslides is important to prevent sediment disasters. Using soil water index (SWI) and a three-layer tank model, this study examined relationship between occurrence of long-term Miyagawa Village, Mie Prefecture, Japan, where shallow deep-seated have occurred at different times. The model detected effects on landslides. We educated that cha...