Refine by
Weather Radar Articles & Analysis
20 articles found
Significance of Weather Stations Weather station are significant for several reasons: Weather Forecasting: Weather station provide real-time and historical data on atmospheric conditions, which is crucial for weather forecasting. ...
Obstruction Avoidance: Ensure there are no obstacles, such as pipes or other equipment, blocking the radar waves' path. Weather Considerations: Account for weather conditions that might affect signal accuracy, such as heavy rain or fog. ...
The weather station is your nearest source of real-time weather changes. They should be used in conjunction with different weather models and sensors when forecasting the weather. Learn all about weather stations in this article.Weather stations definition The weather stations or meteorological ...
The Challenge Through many years, BlueKolding A/S has prioritized and applied software solutions for capacity extension and operations optimization for the entire sewerage system, from the sewer network to the wastewater treatment plants. The aim was to maximize the use of the existing facilities and at the same time ensure an optimum and compliant operation under all conditions, such as under ...
By taking advantage of the water utilities’ real-time measurements, historical data, and external sources – such as weather radars and energy consumption information – Neuroflux’s intelligent data analysis helps build machine learning models that can automatically detect anomalies in the sewers and show the users where they might need to ...
Flood warnings comprise of several processes including weather, river and coastal conditions, forecasting river and sea levels, disseminating flood warnings, and influencing those at risk to the effective action to prepare for and respond to flood warnings. ...
ByOvarro
The "defense series" deliver high-reliability performance in harsh-environment military, automotive, aerospace applications with high-power, high-voltage, and high-vibration requirements, including GBR, airborne radar, ship base radar, etc. Military Standard Landing Defense Multi-Channel Complicated System of Radar: early warning ...
Abstract Implementation of weather radar precipitation estimates into hydrology, especially urban hydrology practice in Poland, requires the introduction of more precise radar reflectivity versus rain rate (Z-R) relationships accounting for drop size distribution (DSD) specific for different precipitation phases. ...
Two years of K-Band micro rain radar-2 (MRR) data are used to investigate the vertical variability of rain in an atmospheric column and assess MRR rainfall estimates accuracy from both direct rainfall measurement using the Mie Theory (i.e., MRR RR) and a Z-R relationship (Z = 300 R1.4) (i.e., MRR Rz). Two different height resolutions (HR) settings are used. A nearby Doppler ...
For the purposes of weather nowcasting, flood risk monitoring and water resources assessment, it is often difficult to achieve a reliable spatio-temporal representation of rainfall due to a low rain gauge network density. However, quantitative precipitation estimation (QPE) has acquired new prospects with the introduction of weather radars, ...
In fact, relying on a new technique that uses modern weather prediction to fine-tune water supplies, the city continued drawing water from key reservoirs at normal rates while waiting for warmer weather. ...
ByEnsia
It is promising that fusion of precipitation data from remote sensing, weather radar, rain gauge and numerical weather modelling could be achieved by parallel computing and distributed data storage, which will trigger a leap in precipitation estimation as the available data from multiple sources could be fused to generate a better product than ...
This study explores the utility of ubiquitous sensors producing categorical wet/dry rainfall measurements for improving the resolution of areal quantitative precipitation estimates through fusion with weather radar observations. The model developed in this study employs a Markov random field model to compute the probability of rainfall at sub-grid pixels. These ...
Calibration of the X-band LAWR (Local Area Weather Radar) is traditionally based on an assumed linear relation between the LAWR radar output and the rainfall intensity. ...
This paper investigates the accuracy of rainfall estimates from C- and X-band weather radars and their application for stream flow simulation. Different adjustment procedures are applied to raw radar estimates using gauge readings from a network of 12 raingauges. ...
Municipal wastewater treatment plant (WWTP) influent is typically dependent on diurnal variation of urban production of liquid waste, infiltration of stormwater runoff and groundwater infiltration. During wet weather conditions the infiltration phenomenon typically increases the risk of overflows in the sewer system as well as the risk of having to bypass the WWTP. ...
This study evaluates the Next Generation Weather Radar (NEXRAD) Digital Storm-Total Precipitation product (DSP) by analyzing 30 rain events on the Upper Guadalupe River Basin, Texas, from September 2006 to May 2007. ...
But Cuba does not have great financial means or technological resources. For example, its weather radars — provided as part of a UN project — date from the 1970s, with additional equipment donated in the 1980s by the Soviet Union. More recently, with little money, these were transformed by Cuban engineers into modern digital radars. ...
Hydro-NEXRAD is a prototype software system that provides hydrology and water resource communities with ready access to the vast data archives of the U.S. weather radar network known as NEXRAD (Next Generation Weather Radar). This paper describes radar-rainfall estimation algorithms and their modular components ...
The implementation of weather radars in Norway by the Norwegian Meteorological Institute (met.no) has made radar a potential tool to improve hydrologic predictions through the use of distributed precipitation input. Met.no supplies gauge-adjusted quantitative hourly radar precipitation estimates. A key concern regarding the use ...