because of the increasing importance of supplying water for the country, water resource management is of paramount importance. predicting precipitation, as one of the most important climatic parameters, is especially important in using water supplies. time series can be used to predict precipitation. time series analysis seems to be a suitable tool for such forecasting. the present work studies...

Precipitation and high-level cloud (HLC) areas in association with the large-scale circulation over the tropical Pacific are analyzed for simulations of nineteen Coupled Model Intercomparison Project Phase 3 (CMIP3) models with observations for 16 years of 1984–1999. The distribution of rainfall and HLC areas are composited around the geographical center of tropospheric upper-level (200 hPa) di...

15 Soil moisture variability and the depth of water stored in the arable layer of the soil are 16 important topics in agricultural research and rangeland management. In this study we use the 17 Distributed Rainfall-Runoff (DR2) model to perform a detailed mapping of topsoil moisture 18 status (SMS) in a mountain Mediterranean catchment. This model, previously tested in the 19 same study area ag...

In the present article, an attempt has been made to derive optimal data-driven machine learning methods for forecasting average daily and monthly rainfall of Fukuoka city in Japan. This comparative study has been conducted from three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information is done...

In the present article, an attempt is made to derive optimal data-driven machine learning methods for forecasting an average daily and monthly rainfall of the Fukuoka city in Japan. This comparative study is conducted concentrating on three aspects: modelling inputs, modelling methods and pre-processing techniques. A comparison between linear correlation analysis and average mutual information ...

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...

This paper presents a fuzzy inference model for predicting rainfall using scan data from the USDA Soil Climate Analysis Network Station at Alabama Agricultural and Mechanical University (AAMU) campus for the year 2004. The model further reflects how an expert would perceive weather conditions and apply this knowledge before inferring a rainfall. Fuzzy variables were selected based on judging pa...

There is a need for more skilful medium-term rainfall forecasts for the Bowen Basin, a key coal-mining region in Queensland, Australia. Prolonged heavy rainfall during the 2010–2011 summer was not forecasted and it severely affected industry operations. Official forecasts are currently based on general circulation models (GCMs) and indicate there will be change in the timing and strength of the...