Design and development of a novel acoustic rain sensor with automated telemetry

Guico, Maria Leonora; Abrajano, Gemalyn; Domer, Prince Aldrin; Talusan, Jose Paulo

doi:10.1051/matecconf/201820103003

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…The nature and origin of the sound produced by drops striking a water surface were explored by Prokhorov & Chashechkin [132]. To date, acoustic recording of rainfall has been adopted in land-based research in only a small number of experimental studies (Trono et al [133], Guico et al [134], Avanzato & Beritelli [135], Dunkerley [136]), and has not yet found application in long-term rainfall monitoring.…”

Section: Acoustic Intensity Gaugesmentioning

confidence: 99%

Recording Rainfall Intensity: Has an Optimum Method Been Found?

Dunkerley

2023

Water

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Many design principles for rain gauges that have the capacity to record rainfall intensity have been proposed or developed. These are here grouped into 15 categories, and the abilities and limitations of each are discussed. No standard or optimum method has emerged, despite more than 80 years of effort in the last two centuries, together with prior work from the 17th C onwards. Indeed, new methods continue to be explored for both point-based and area-wide collections of intensity data. Examples include the use of signal attenuation by rain along the tower-to-tower links of cellular phone networks, monitoring the speed of vehicle windscreen wipers, and exploiting the sound or vision from security and traffic-monitoring cameras. Many of these approaches have the potential to provide vastly more observation sites than conventional meteorological stations equipped with rain gauges. Some of these contemporary approaches seek to harness the potential of crowdsourced or citizen-science data. It is hoped that the present overview of methods will provide a guide for those wishing to collect or analyses rainfall intensity data for application in areas such as soil erosion processes, ecohydrology, agrochemical washoff, or urban flash flooding. Because rainfall intensity is one of the key aspects of the hydrologic cycle likely to respond as climate change and variability proceed, the choice of appropriate data collection methods has additional contemporary importance for the monitoring of regional and global precipitation changes.

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Section: Acoustic Intensity Gaugesmentioning

confidence: 99%

Recording Rainfall Intensity: Has an Optimum Method Been Found?

Dunkerley

2023

Water

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“…For rain detection (binary classification), a threshold of 0.1 mm/h was chosen to differentiate "rain pixels" from "No Rain pixels". Additionally, 6 classes were defined based on existing bibliography [19], see Table 1.…”

Section: B Categorical Focal Lossmentioning

confidence: 99%

Detection and classification of rainfall in South America using satellite images and machine learning techniques

Andelsman,

Masuelli,

Tamarit

2023

Pap. Phys.

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The study of precipitation is one of the most intriguing areas in atmospheric sciences, with significant implications for our daily lives and climate change projections. This paper explores the estimation of rainfall trends in South American regions using convolutional neural networks (CNNs). The study focuses on the application of Cloud-Net, a CNN-based model with a format similar to an autoencoder, to obtain qualitative estimates of precipitation patterns. The employed loss functions, Categorical Cross Entropy and Categorical Focal Loss, address the challenges of classifying minority categories in unbalanced data. Regional analysis was conducted, identifying days with high rainfall intensity and the predominant intensities in 25 regions. The CNN model’s performance was compared with the XGBoost algorithm, showing excellent results for extreme rainfall categories and challenging intermediate categories. Furthermore, a comparison was made with Quantitative Precipitation Estimation (QPE) data and ground measurements from rain gauges. While the CNN model provided a valuable qualitative estimate of precipitation trends, achieving precise quantitative estimation would require an extensive data set of in-situ measurements. Overall, this research demonstrates the potential of CNNs for estimating rainfall trends and understanding precipitation patterns in South American regions. The findings offer valuable insights for further applications in meteorology and environmental studies.

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Rainfall intensity and intermittency over timescales of minutes: Measurement using low sampling-rate acoustic recording

Dunkerley

2023

Atmospheric Research

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Design and development of a novel acoustic rain sensor with automated telemetry

Cited by 5 publications

References 4 publications

Recording Rainfall Intensity: Has an Optimum Method Been Found?

Recording Rainfall Intensity: Has an Optimum Method Been Found?

Detection and classification of rainfall in South America using satellite images and machine learning techniques

Rainfall intensity and intermittency over timescales of minutes: Measurement using low sampling-rate acoustic recording

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