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Ang Zhang, Haiyun Shi, Tiejian Li and Xudong Fu
Rainfall stations of a certain number and spatial distribution supply sampling records of rainfall processes in a river basin. Uncertainty may be introduced when the station records are spatially interpolated for the purpose of hydrological simulations. ...
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Francesca Cecinati, Antonio M. Moreno-Ródenas, Miguel A. Rico-Ramirez, Marie-claire Ten Veldhuis and Jeroen G. Langeveld
In urban hydrological models, rainfall is the main input and one of the main sources of uncertainty. To reach sufficient spatial coverage and resolution, the integration of several rainfall data sources, including rain gauges and weather radars, is often...
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Nicolas Akil, Guillaume Artigue, Michaël Savary, Anne Johannet and Marc Vinches
Neural networks are used to forecast hydrogeological risks, such as droughts and floods. However, uncertainties generated by these models are difficult to assess, possibly leading to a low use of these solutions by water managers. These uncertainties are...
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Apollon Bournas and Evangelos Baltas
In this research work, an analysis is conducted concerning the impact on rainfall-runoff simulations of utilizing rain gauge precipitation measurements against weather radar quantitative precipitation estimates. The study area is the Sarantapotamos river...
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Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
The Integrated Multisatellite Retrievals for Global Precipitation Measurement (GPM) (IMERG) Level 3 estimates rainfall from passive microwave sensors onboard satellites that are associated with several uncertainty sources such as sensor calibration, retr...
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Nadine Maier, Lutz Breuer, Alejandro Chamorro, Philipp Kraft and Tobias Houska
Floodplains are highly complex and dynamic systems in terms of their hydrology. Thus, they harbor highly specialized floodplain plant species depending on different inundation characteristics. Climate change will most likely alter those characteristics. ...
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Hadis Pakdel, Dev Raj Paudyal, Sreeni Chadalavada, Md Jahangir Alam and Majid Vazifedoust
The frequency and severity of extremes, including extreme precipitation events, extreme evapotranspiration and extreme water storage deficit events, are changing. Thus, the necessity for developing a framework that estimates non-stationary conditions is ...
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Mohamed Salem Nashwan, Shamsuddin Shahid and Xiaojun Wang
This study assessed the uncertainty in the spatial pattern of rainfall trends in six widely used monthly gridded rainfall datasets for 1979?2010. Bangladesh is considered as the case study area where changes in rainfall are the highest concern due to glo...
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Syahrizal Koem
Pág. 355 - 364
Drought is one of the natural disasters that can cause disadvantages, especially in the agricultural sector. Gorontalo Regency is the corn production center, yet it has high vulnerability and low adaptive capacity towards the climate change. In addition,...
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Peizhen Ren, Jianzhu Li, Ping Feng, Yuangang Guo and Qiushuang Ma
Satellite precipitation products are unique sources of precipitation measurement that overcome spatial and temporal limitations, but their precision differs in specific catchments and climate zones. The purpose of this study is to evaluate the precipitat...
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Wooyeon Sunwoo, Minha Choi
Pág. 1 - 20
Runoff prediction in limited-data areas is vital for hydrological applications, such as the design of infrastructure and flood defenses, runoff forecasting, and water management. Rainfall?runoff models may be useful for simulation of runoff generation, p...
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Alessandro Mazza
Pág. 1 - 18
Precipitation during the period 2001?2016 over the northern and central part of Tuscany was studied in order to characterize the rainfall regime. The dataset consisted of hourly cumulative rainfall series recorded by a network of 801 rain gauges. The ter...
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Qinghua Wu, Guiling Wang, Wei Zhang, Haodong Cui, Wei Zhang
Pág. 1 - 19
Water resource shortage has been a serious problem since the 1980s in the North China Plain (NCP), resulting in plenty of environmental problems. Estimating the groundwater recharge rate accurately is vital for managing groundwater effectively. This stud...
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Qinghua Wu, Guiling Wang, Wei Zhang, Haodong Cui and Wei Zhang
Water resource shortage has been a serious problem since the 1980s in the North China Plain (NCP), resulting in plenty of environmental problems. Estimating the groundwater recharge rate accurately is vital for managing groundwater effectively. This stud...
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Suman Maity, Manabottam Mandal, Sridhara Nayak, Rajeev Bhatla
Pág. 287 - 309
The Indian Summer Monsoon (ISM) is driven by organized large-scale convection; hence, its simulation is expected to depend on an appropriate representation of cumulus convection in the model. In the present study, the performance of different cumulus par...
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Amin Minaei, Sara Todeschini, Robert Sitzenfrei and Enrico Creaco
Climate change increasingly is affecting every aspect of human life on the earth. Many regional climate models (RCMs) have so far been developed to carefully assess this important phenomenon on specific regions. In this study, ten RCMs captured from the ...
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Bomi Kim, Garim Lee, Yaewon Lee, Sohyun Kim and Seong Jin Noh
In this study, we analyzed the impact of model spatial resolution on streamflow predictions, focusing on high-resolution scenarios (<1 km) and flooding conditions at catchment scale. Simulation experiments were implemented for the Geumho River catchment ...
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