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Accurate rainfall estimations based on ground-based rainfall observations and satellite-based rainfall measurements are essential for hydrological and environmental modeling in the Qaidam Basin of China.
Aifeng Lv, Lei Zhou
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Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation
Rainfall intensity estimation from weather radar is still significantly uncertain, due to local anomalies, radar beam attenuation, inappropriate calibration of the radar reflectivity factor (Z) to rainfall rate (R) relationship, and sampling errors.
Andrea Libertino +4 more
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Daily Rainfall Estimation using ANFIS Combination Models Trained by Clustering of Fuzzy c-Means and Evolutionary Algorithms [PDF]
Nowadays, due to the high uncertainty in estimating precipitation in different geographical areas, the use of computational intelligence methods based on optimization algorithms to accurately estimate daily precipitation has been considered by water ...
Mohammad Najafzadeh +2 more
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The mountainous Yeongdong region of South Korea contains mountains over 1 km. Owing to this topographic blockage, the region has a low-density rain-gauge network, and there is a low-altitude (~1.5 km) observation gap with the nearest large S-band radar ...
Seong-Sim Yoon, Sang-Hun Lim
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Optimizing Radar-Based Rainfall Estimation Using Machine Learning Models
Weather radar research has produced numerous radar-based rainfall estimators based on climate, rainfall intensity, a variety of ground-truthing instruments and sensors (e.g., rain gauges, disdrometers), and techniques.
Diar Hassan +3 more
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Error investigation of rain retrievals from disdrometer data using triple colocation
Assessing the uncertainty of precipitation measurements is a challenging problem because precipitation estimates are inevitably influenced by various errors and environmental conditions.
Clizia Annella +4 more
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Comparison of Different Rainfall Erosion Estimation Methods for the Island of Crete
Interactions between soil and rainfall plays a vital role in ecological, hydrological and biogeochemical cycles of land. Among those interactions, the phenomenon of rainfall induced soil erosion is crucial to the soil functions, as it affects the soil ...
Dimitrios D. Alexakis, Manolis Grillakis
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As rainfall exhibits high spatiotemporal variability, accurate and real-time rainfall monitoring is vitally important in fields such as hydrometeorological research, agriculture and disaster prevention and control.
Peng Zhang, Xichuan Liu, Kang Pu
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Censored rainfall modelling for estimation of fine-scale extremes [PDF]
Reliable estimation of rainfall extremes is essential for drainage system design, flood mitigation, and risk quantification. However, traditional techniques lack physical realism and extrapolation can be highly uncertain. In this study, we improve the
D. Cross +3 more
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The SM2RAIN (soil moisture to rain) model has been widely used for rainfall estimation worldwide. However, due to the lack of sufficient ground observation, the SM2RAIN model driven by different passive microwave soil moisture products over the Tibetan ...
Linguang Miao +3 more
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