Results 21 to 30 of about 1,948,518 (201)
Forecast of heavy rainfall in West of Iran According to Weather Radar Estimates Using the Z-R method [PDF]
The amount of precipitation measured by the radar is different from the amount of precipitation received on the ground. This difference has many causes, some of which are related to the nature of the radar and others to the climate of each region.
Farshad Safarpour +2 more
doaj +1 more source
Rainfall data have a profound significance for meteorology, climatology, hydrology, and environmental sciences. However, existing rainfall observation methods (including ground-based rain gauges and radar-/satellite-based remote sensing) are not ...
Mingzheng Chen +5 more
doaj +1 more source
Evaluating the Spatial Resolution of Digital Elevation Models (DEMs) on the Accuracy of Rainfall Estimation at the Annual Scale [PDF]
Introduction and GoalUsers prepare accurate data of the amount of rainfall by using rain gauge stations. However, an interpolation of rainfall data is difficult due to temporal and spatial variability.
Morteza Gheysouri +3 more
doaj +1 more source
Traditional radar-based rainfall estimation is typically done by known functional relationships between the rainfall intensity (R) and radar measurables, such as R–Zh, R–(Zh, ZDR), etc.
Kyuhee Shin +3 more
doaj +1 more source
A Multi-Layer Perceptron Regression and Variant Windowing for Estimating Rainfall Based on Weather Radar Data [PDF]
Accurate rainfall information is crucial for various applications, including river flow estimation, water resource management, and flood warning system development.
Ferdinandus Penalun +3 more
doaj +1 more source
The purpose of this study was to develop an optimal estimation model for rainfall rate retrievals using radar reflectivity, thereby gaining an effective grasp of rainfall information for disaster prevention uses. A process was designed for evaluating the
Chih-Chiang Wei, Chen-Chia Hsu
doaj +1 more source
Spatial evaluation rainfall estimation on weather radar using Marshall–Palmer reflectivity–rainfall rate in Banten [PDF]
Based on data from the National Disaster Management Agency (Ind.: Badan Nasional Penanggulangan Bencana – BNPB), throughout 2022, more than 91% of disaster events were hydrometeorological disasters, with floods at 43% and landslides at 17%.
Hartanto +4 more
doaj +1 more source
Probabilistic Envelope Curves for Extreme Rainfall Events - Curve Inviluppo Probabilistiche per Precipitazioni Estreme [PDF]
A regional envelope curve (REC) of flood flows summarises the current bound on our experience of extreme floods in a region. RECs are available for most regions of the world.
Nicholas C. Matalas +3 more
core +1 more source
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming [PDF]
Rainfall is one of the most challenging variables to predict, as it exhibits very unique characteristics that do not exist in other time series data. Moreover, rainfall is a major component and is essential for applications that surround water resource ...
Kampouridis, Michael +7 more
core +1 more source
High spatio-temporal resolution and accurate long-term rainfall estimates are critical in sustainable water resource planning and management, assessment of climate variability and extremes, and hydro-meteorology-related water system decisions. The recent
Surabhi Upadhyay +6 more
doaj +1 more source

