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Marino Marrocu and Luca Massidda
Rainfall forecasting plays a key role in mitigating environmental risks in urban areas, which are subject to increasing hydrogeological risk due to transformations in the urban landscape. We present a new technique for probabilistic precipitation nowcast...
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Sirikanya Cheevaprasert, Rajeshwar Mehrotra, Sansarith Thianpopirug and Nutchanart Sriwongsitanon
This study presents an exhaustive evaluation of the performance of three statistical downscaling techniques for generating daily rainfall occurrences at 22 rainfall stations in the upper Ping river basin (UPRB), Thailand. The three downscaling techniques...
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Ashish Shrestha, Mukand Singh Babel, Sutat Weesakul, Zoran Vojinovic
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The magnitude and frequency of hydrological events are expected to increase in coming years due to climate change in megacities of Asia. Intensity?Duration?Frequency (IDF) curves represent essential means to study effects on the performance of drainage s...
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Soojin Moon and Boosik Kang
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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Pao-Shan Yu, Tao-Chang Yang, Chen-Min Kuo, Hung-Wei Tseng and Shien-Tsung Chen
The study aims to assess climate change impacts on streamflow drought in a catchment upstream of Tseng-Wen Reservoir which is the main water supplier in southern Taiwan. A singular-value-decomposition statistical downscaling method and a stochastic weath...
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Francesco Viola, Domenico Caracciolo, Dario Pumo, Leonardo V. Noto and Goffredo La Loggia
The olive tree is one of the most characteristic rainfed trees in the Mediterranean region. Observed and forecasted climate modifications in this region, such as the CO2 concentration and temperature increase and the net radiation, rainfall and wind spee...
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