Design flood estimation is often required in hydrologic practice such as design of hydraulic structures and flood plain management. In flood estimation, use of rainfall runoff models is frequently adopted which convert selected rainfall events into the corresponding streamflow events. In Australia, runoff routing model is frequently adopted as the preferred method of rainfall runoff modeling. T...

Downscaled rainfall projections from 21 climate models from the CMIP5 (Coupled Model Intercomparison Project Phase 5) archive are used to estimate future changes in rainfall erosivity in the continental Unites States. To estimate erosivity from rainfall in the absence of sub-hourly data, we have used both daily rainfall values and the modified Fournier index – which is based on monthly rainfall...

Tropical cyclone rainfall rates have been projected to increase in a warmer climate. The area coverage of tropical cyclones influences their impact on human lives, yet little is known about how tropical cyclone rainfall area will change in the future. Here, using satellite data and global atmospheric model simulations, we show that tropical cyclone rainfall area is controlled primarily by its e...

The accuracy of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes. In fact, the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows and groundwater recharge. In this study, a comparison between statistical properties of rainfall observations an...

Rainfall derivatives are in their infancy since starting trading on the Chicago Mercentile Exchange (CME) since 2011. Being a relatively new class of financial instruments there is no generally recognised pricing framework used within the literature. In this paper, we propose a novel framework for pricing contracts using Genetic Programming (GP). Our novel framework requires generating a risk-n...

BACKGROUND The amount and distribution of rainfall and temperature influences household food availability, thus increasing the risk of child under nutrition. However, few studies examined the local spatial variability and the impact of temperature and rainfall on child under nutrition at a smaller scale (resolution). We conducted this study to evaluate the effect of weather variables on child u...

Flood is one of the most calamitous natural disasters that causes extensive property and life damages across theworld. It however, could be a blessing due to its special natural water resources recharging value. By simulating themagnitude of probable floods considering the anthropogenic and natural effects and implementing contingency plans,their damages could be reduced. In this paper, the Gen...

this study tries to investigate relationship between rainfall parameters and usle r factor. to gain r-factor, at first, shower kinetic energy was calculated and then its erosivity computed by using maximum 30 minutes rainfall intensity. therefore 3 meteorological stations in khuzestan province and one station per kohgiloyeh & boyerahmad and boushehr provinces were selected and their recorde...

West Africa is vulnerable to the effects of climate change. This paper analyzed the impacts of climate change on economic growth in Anglophone West Africa with similar background, during the periods 1969-2016. Five growth model equations have been developed to incorporate climate change variables into the model. Panel data estimations such as the fixed effect model, random effect model and Haus...