Results 1 to 10 of about 1,948,518 (201)

A Rainfall Model Based on a Geographically Weighted Regression Algorithm for Rainfall Estimations over the Arid Qaidam Basin in China

open access: yesRemote Sensing, 2016
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
doaj   +3 more sources

Radar Estimation of Intense Rainfall Rates through Adaptive Calibration of the Z-R Relation

open access: yesAtmosphere, 2015
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
doaj   +3 more sources

Daily Rainfall Estimation using ANFIS Combination Models Trained by Clustering of Fuzzy c-Means and Evolutionary Algorithms [PDF]

open access: yesمحیط زیست و مهندسی آب, 2021
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
doaj   +1 more source

Analyzing the Application of X-Band Radar for Improving Rainfall Observation and Flood Forecasting in Yeongdong, South Korea

open access: yesRemote Sensing, 2021
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
doaj   +1 more source

Optimizing Radar-Based Rainfall Estimation Using Machine Learning Models

open access: yesRemote Sensing, 2022
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
doaj   +1 more source

Error investigation of rain retrievals from disdrometer data using triple colocation

open access: yesAtmospheric Science Letters, 2022
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
doaj   +1 more source

Comparison of Different Rainfall Erosion Estimation Methods for the Island of Crete

open access: yesProceedings, 2020
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
doaj   +1 more source

Precipitation Monitoring Using Commercial Microwave Links: Current Status, Challenges and Prospectives

open access: yesRemote Sensing, 2023
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
doaj   +1 more source

Censored rainfall modelling for estimation of fine-scale extremes [PDF]

open access: yesHydrology and Earth System Sciences, 2018
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
doaj   +1 more source

Influences of Using Different Satellite Soil Moisture Products on SM2RAIN for Rainfall Estimation Across the Tibetan Plateau

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
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
doaj   +1 more source

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