Use of an optical rain gauge in a system of monitoring severe weather phenomena

Kalchikhin, V. V.; Kobzev, A. A.

doi:10.1088/1755-1315/211/1/012063

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Several rain measurement tools using a variety of methods have been developed. The measurement value generated in the process requires accuracy [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Rain Measurement Simulation Using the Hall Effect Flow-Meter

Sirenden¹

2020

JoTP

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The sensor analysis or flow-meter measuring instrument has been successfully carried out on the signal output to see the stability or accuracy of a measurement. The flowmeter measurement value was analyzed using a rainfall simulator. The rainfall intensity value will then be predicted using the Kalman filter. Kalman filters can predict various data or output signals so that the measurement results can be more stable and accurate. This research methodology consists of several stages, namely the stages of literature study, designing research tools and components, designing systems, making or assembling tools, testing all components, programs and testing the flow-meter output signal record. The flowmeter is controlled by the Arduino Nano microcontroller. Tests were carried out in this study ten times, with a time span of 60 seconds for each experiment. The increase in water flow was detected by the flow-meter which was then captured by the hercules application and the data was then copied to Ms. Excel. After the rainfall intensity value is obtained, the value will be estimated using the Kalman filter. The estimation results will show the stability and accuracy value of the flow-meter.

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“…Several rain measurement tools using a variety of methods have been developed. The measurement value generated in the process requires accuracy [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Rain Measurement Simulation Using the Hall Effect Flow-Meter

Sirenden¹

2020

JoTP

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Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

et al. 2023

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Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers around the globe could greatly benefit from specific and adapted meteorological information for the controller position, helping to reduce the increased workload induced by adverse weather. The present work proposes a radar-based nowcasting algorithm providing compact meteorological information on convective weather near airports for introduction into the algorithms intended to assist in air-traffic management. The use of vertically integrated liquid density enables extremely rapid identification and short-term prediction of convective regions that should not be traversed by aircraft, which is an essential requirement for use in tactical controller support systems. The proposed tracking and nowcasting method facilitates the anticipation of the meteorological situation around an airport. Nowcasts of centroid locations of various approaching thunderstorms were compared with corresponding radar data, and centroid distances between nowcasted and observed storms were computed. The results were analyzed with Method for the Object-Based Evaluation from the Model Evaluation tools software (MET-10.0.1, Developmental Testbed Center, Boulder, CO, US) and later integrated into an assistance arrival manager software, showing the potential of this approach for automatic air traffic assistance in adverse weather scenarios.

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Use of an optical rain gauge in a system of monitoring severe weather phenomena

Cited by 2 publications

References 3 publications

Rain Measurement Simulation Using the Hall Effect Flow-Meter

Rain Measurement Simulation Using the Hall Effect Flow-Meter

Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

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