Results 11 to 20 of about 2,564 (257)
Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
علوم و مهندسی آبیاریDifferent interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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Quantification of node importance in rain gauge network: influence of temporal resolution and rain gauge density. [PDF]
Sci Rep, 2020 AbstractRain gauge network is important for collecting rainfall information effectively and efficiently. Rain gauge networks have been studied for several decades from a range of hydrological perspectives, where rain gauges with unique or non-repeating information are considered as important.
Tiwari S, Jha SK, Singh A.
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An Innovative Acoustic Rain Gauge Based on Convolutional Neural Networks [PDF]
Information, 2020 An accurate estimate of rainfall levels is fundamental in numerous application scenarios: weather forecasting, climate models, design of hydraulic structures, precision agriculture, etc. An accurate estimate becomes essential to be able to warn of the imminent occurrence of a calamitous event and reduce the risk to human beings. Unfortunately, to date,
Avanzato, Roberta, Beritelli, Francesco
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Optimization of Rain Gauge Networks for Arid Regions Based on Remote Sensing Data [PDF]
Remote Sensing, 2021 Water depletion is a growing problem in the world’s arid and semi-arid areas, where groundwater is the primary source of fresh water. Accurate climatic data must be obtained to protect municipal water budgets. Unfortunately, the majority of these arid regions have a sparsely distributed number of rain gauges, which reduces the reliability of the spatio-
Mona Morsy +5 more
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Geosystems and Geoenvironment, 2022 Accurate rainfall estimates are required to forecast the spatio-temporal distribution of rain-triggered landslides. In this study, a comparison between rain gauge and satellite rainfall data for assessing landslide distribution in a data-sparse region ...
C.L. Vishnu +3 more
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Applied Sciences, 2020 To reduce hydrological disasters, it is necessary to operate rain gauge stations at locations where the spatio-temporal characteristics of rainfall can be reflected.
Taeyong Kwon +3 more
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Radar subpixel-scale rainfall variability and uncertainty: lessons learned from observations of a dense rain-gauge network [PDF]
Hydrology and Earth System Sciences, 2013 Runoff and flash flood generation are very sensitive to rainfall's spatial and temporal variability. The increasing use of radar and satellite data in hydrological applications, due to the sparse distribution of rain gauges over most catchments worldwide,
N. Peleg, M. Ben-Asher, E. Morin
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Journal of Hydroinformatics, 2023 The analysis of the spatial and temporal distribution of storm events contributes to a better use of water resources, for example, the supply of drinking water, irrigation practices, electricity generation and management of extreme events to control ...
Maria Asucena Rodriguez-Ramirez +1 more
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Investigating rainfall estimation from radar measurements using neural networks [PDF]
Natural Hazards and Earth System Sciences, 2013 Rainfall observed on the ground is dependent on the four dimensional structure of precipitation aloft. Scanning radars can observe the four dimensional structure of precipitation.
A. Alqudah, V. Chandrasekar, M. Le
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Rain rate measurements by a rain gauge network inSingapore
Electronics Letters, 1997 Point rainfall rates measured over several years by a network of rain gauges located along a line in Singapore are presented. Moupfouma's probability law model (with suitable local parameters) for rainfall rates fits the cumulative distribution of rainfall rates obtained.
null Ong, null Zhu
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