The accurate assessment of spatiotemporal rainfall variability is a crucial and challenging task in many hydrological applications, mainly due to the lack of a sufficient number of rain gauges. The purpose of the present study is to investigate the spatiotemporal variations of annual and monthly rainfall over Fujian province in China by combining the Bayesian maximum entropy (BME) method and sa...

abstract major of hydrological systems are very complicated and it is not possible to understand them completely, therefore simplification is necessary to understand or control of a part of the system behavior such as water balance relationships. hydrological models are simple structure of complicated systems in water cycle in the nature. the first goal of a hydrological model is function predi...

To understand the characteristics of severe floods under global climate change, we created a design hyetograph for a 100-year return period. This incorporates a modified ranking method using the top 10 extreme rainfall events for present, near-future, and far-future periods. The rainfall data sets were projected with a general circulation model with high spatial and temporal resolution and used...

This paper examined the impact of rainfall regimes shifts on some hydrologic factors and forest growth in North Patagonian temperate rainforests using a dynamic forest model and a rainfall time series generator. My feeling is that the paper is potentially interesting and the authors made a reasonable effort but insufficient descriptions of the model and its validation caused something like unre...

[1] This work quantifies and explains the direct physical effects of slope angle on infiltration and runoff generation by extending the Green-Ampt equation onto sloping surfaces. A new extended solution using identical precipitation hydrographs was compared to the original formulation and then used to calculate the infiltration and runoff generation for different slope angles but for identical ...

To date, little objective verification has been performed for rainfall predictions from numerical forecasts of landfalling tropical cyclones. Until 2001, digital output from the operational version of the Geophysical Fluid Dynamics Laboratory (GFDL) hurricane forecast model was available only on a 1° grid. The GFDL model was rerun or reanalyzed for 25 U.S. landfalling tropical cyclones from 199...

To resolve the difficulty of parameter estimation of Storm rainfall intensity formulation, a new multicellular GEP parameter estimation algorithm, named MC_GEP_MPO, with a novel individual coding scheme based on Gene Expression Programming algorithm is proposed in this paper. MC_GEP_MPO is used for solving the parameter estimation problem of the single return period of rainfall intensity foreca...

the aim of this research is the assessment of the relation between rainfall and large scale synoptically patterns at khorasan razavi province. in this study, using adaptive neuro fuzzy inference system, the rainfall estimation has been done from april to june in the area under study. spring rainfall data including the information of 38 synoptic, climatologic and rain gauge stations from 1970 to...

Results of numerous evaluation studies indicated that satellite-rainfall products are contaminated with significant systematic and random errors. Therefore, such products may require refinement and correction before being used for hydrologic applications. In the present study, we explore a rainfall-runoff modeling application using the Climate Prediction Center-MORPHing (CMORPH) satellite rainf...

The paper addresses the role of the conceptual rainfall-runoff modelling approach in hydrology on a scientific and technological context. From this analysis, suggestions for modelling and further research in this field are proposed. K E Y W O R D S : model development; model use; conceptual rainfall-runoff modelling; epistemology; hydrology.