Results 21 to 30 of about 2,439 (256)
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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Rationalization of Rainfall Station In Ternate Island [PDF]
E3S Web of Conferences, 2021 Good rainfall data can be obtained from recordings that are maintained and monitored continuously. Thus, the more rain stations there are, the more detailed the rainfall data will be.
Widyawati Ega +4 more
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Results in Engineering, 2023 The purpose of the study was to use hierarchical clustering and Thiessen polygon algorithms to identify the significant rain gauge stations for flood forecasting at Sardar Sarovar Dam. Rainfall data from 2010 to 2018 was utilized to analyze the catchment
Darshan Mehta +4 more
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Comparative study on the influence of rain-gauge network on the uncertainty of hydrological modeling
Shui kexue jinzhan, 2019 The design of the rain gauge network affects the accuracy of model simulation. Therefore,studying the effect of rain gauge density and its distribution on improving runoff simulation accuracy and reducing the modeling uncertainty is of vital importance ...
CHEN Hua +6 more
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Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration [PDF]
PeerJ, 2020 River discharges are often predicted based on a calibrated rainfall-runoff model. The major sources of uncertainty, namely input, parameter and model structural uncertainty must all be taken into account to obtain realistic estimates of the accuracy of ...
Alexandre M.J.-C. Wadoux +3 more
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Geostatistical mapping of precipitation: implications for rain gauge network design
Water Science and Technology, 2006 This study examined four univariate kriging techniques; simple kriging (SK), ordinary kriging (OK), multi-Gaussian kriging (MGC), and log-normal kriging (LNK); and two multivariate kriging algorithms; kriging with external drift (KED) using elevation and slope in two different models for the estimation of daily rainfall in a 250 m × 250 m grid over a ...
M H, Nour, D W, Smit, M, Gamal El-Din
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Application of transformed data in rain gauge network design using entropy concept [PDF]
مهندسی منابع آب, 2017 Precipitation is known as one of the most important factors in a hydrologic cycle. Hence, an accurate knowledge of rainfall data, which are usually gathered through a group of rain gauges, is necessary for any hydrologic simulation on a watershed ...
Mahmood Reza Shaghaghian
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Advances in Meteorology, 2016 A 24-hour heavy rainfall event occurred in northeastern France from November 3 to 4, 2014. The accuracy of the quantitative precipitation estimation (QPE) by PANTHERE and ANTILOPE radar-based gridded products during this particular event, is examined at ...
Basile Pauthier +5 more
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Assessing satellite-based precipitation estimates in the Southern Appalachian mountains using rain gauges and TRMM PR [PDF]
Advances in Geosciences, 2010 A study was performed using the first full year of rain gauge records from a newly deployed network in the Southern Appalachian mountains. This is a region characterized by complex topography with orographic rainfall enhancement up to 300% over small ...
O. P. Prat, A. P. Barros
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