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Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
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Kwang-Leol Jeong and Se-Min Jeong
Computational fluid dynamics (CFD) is an effective tool for ship resistance prediction and hull form optimization. A three-dimensional volume mesh is essential for CFD simulation, and mesh generation requires much time and effort. Mesh deformation can re...
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Mahmut Oguz Selbesoglu
Global Navigation Satellite System (GNSS) signals arrive at the Earth in a nonlinear and slightly curved way due to the refraction effect caused by the troposphere. The troposphere delay of the GNSS signal consists of hydrostatic and wet parts. In partic...
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Mohammad Arab Amiri and Mohammad Saadi Mesgari
Spatial and temporal variability analysis of precipitation is an important task in water resources planning and management. This study aims to analyze the spatial and temporal variability of precipitation in the northeastern corner of Iran using data fro...
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Meiling Cheng, Yonggui Wang, Bernard Engel, Wanshun Zhang, Hong Peng, Xiaomin Chen and Han Xia
Accurate assessment of spatial and temporal precipitation is crucial for simulating hydrological processes in basins, but is challenging due to insufficient rain gauges. Our study aims to analyze different precipitation interpolation schemes and their pe...
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Mateusz Szczesniak and Mikolaj Piniewski
Ground-based precipitation data are still the dominant input type for hydrological models. Spatial variability in precipitation can be represented by spatially interpolating gauge data using various techniques. In this study, the effect of daily precipit...
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