Runoff simulations are of great significance to the planning management water resources. Here, we discussed influence model component, parameters and input on runoff modeling, taking Hanjiang River Basin as research area. Convolution kernel attention mechanism were introduced into an LSTM network, a new data-driven Conv-TALSTM was developed. The analyzed based Conv-TALSTM, results suggested tha...

Recent analysis of spatial and temporal resolution of rainfall and the advent of small inexpensive rainfall radars has lead to increased use of radar estimated rainfall as input to hydrological models especially in urban areas. Detailed rainfall measurements have indicated a very high spatial variation of up to 100 % of a distance of less that 200 m over a 3 hour rainfall event [Jensen and Pede...

Conventional usage of multiparameter radar measurements for rainfall estimation has been associated with tracking the variability of the raindrop size distribution. The use of multiparameter radar measurements in a statistical framework to estimate rainfall is presented in this paper. The techniques developed in this paper are applied to the radar and rain gauge measurement of rainfall observed...

The relationships between observed rainfall, El Niño/Southern Oscillation (ENSO) and sea surface temperature (SST) variations in the Pacific and Indian Oceans were analyzed using a 1° latitude–longitude grid over Indonesia. The Global Summary of the Day rainfall records provide 26 years of rainfall data (January 1985 to August 2010) for 23 stations throughout the Indonesian islands. The ENSO an...

Rainfall data of high temporal resolution are required in a multitude of hydrological applications. In the present paper, a temporal rainfall disaggregation model is applied to convert daily time series into an hourly resolution. The model is based on the principles of random multiplicative cascade processes. Its parameters are dependent on (1) the volume and (2) the position in the rainfall se...

Understanding spatiotemporal rainfall patterns in mountainous areas is of great importance for prevention of natural disasters such as flash floods and landslides. There is little knowledge about rainfall variability over historically underobserved complex terrains, however, and especially about the variations of hourly rainfall. In this study, the spatiotemporal variations of hourly rainfall i...

A monotonic transformation is applied to hourly rainfall data to achieve marginal normality. This deenes a latent Gaussian variable, with zero rainfall corresponding to censored values below a threshold. Autocor-relations of the latent v ariable are estimated by maximum likelihood. The goodness of t of the model to Edinburgh rainfall data is comparable with that of existing point process models...

Climate plays an important role in crop biomass production. Extreme climatic conditions and high seasonal variability of climatic parameters could adversely affect productivity (Li et al., 2006) since rainfall determines the crop yields and the choice of the crops that can be grown. The pattern and amount of rainfall are among the most important factors that affect cropping systems. The analysi...

(1) Snow melt period of December to April in combination with precipitation (typical of lowland and hilly parts of the Labe, Vltava and Morava catchments). (2) Longer duration of rainfall lasting 10 to 72 hours (rainfall intensified and prolonged by elevation enhancement). (3) Intensive short duration of summer rainfall exceeding (flood peak occurring within hours of rainfall peak, small areas ...

Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR), TRMM Microwave Imager (TMI) and Visible and Infrared Scanner (VIRS) observations within the Precipitation Feature (PF) database have been analyzed to examine regional variability in rain area and maximum horizontal extent of rainfall features, and role of storm morphology on rainfall production (and thus modes where vertically...