Accuracy assessment and intercomparison of precipitation measurement instruments

Lanza, Luca Giovanni; Cauteruccio, Arianna

doi:10.1016/b978-0-12-822973-6.00007-x

Cited by 8 publications

(27 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It must be considered, however, that precipitation has high time and space variability, and a great density of stations is needed to assess statistically significant precipitation patterns. In addition, the quality and homogeneity of the datasets is a crucial element (Lanza and Cauteruccio 2022). The second key item is the choice of the interpolation method.…”

Section: Introductionmentioning

confidence: 99%

A comparison between different methods to fill gaps in early precipitation series

et al. 2022

View full text Add to dashboard Cite

The aim of this work is to analyse and compare different methodologies to fill gaps in early precipitation series, and to evaluate which time resolution is reachable, i.e. monthly or daily one. The following methods are applied and tested to fill the 1764–1767 gap in the precipitation series of Padua: (1) using a relationship between monthly amounts and frequencies; (2) transforming a daily log with visual observations into numerical values through analysis, classification, and calibration; (3) substituting the missing values with an instrumental record from a nearby, contemporary station in the same climatic area. To apply the second method, the descriptions reported in the Morgagni Logs are grouped in 37 classes and transformed into numerical values, using for calibration the observed amounts in the Poleni record over the 24-year common period. As a third method, the series of Temanza and Pollaroli in Venice is used to fill the gap, and the application of a factor scale based on the ratio Padua/Venice tempted. The results of these three methods are discussed and commented.

show abstract

Section: Introductionmentioning

confidence: 99%

A comparison between different methods to fill gaps in early precipitation series

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Despite the advantages of TBRs, their main drawbacks are due to measurement errors and uncertainties originating in the operation of the equipment itself, as well as by external agents, which impacts on measurement reliability. Numerous studies in recent years have focused on explaining the nature of these measurement biases and have pro-posed different calibration methodologies and strategies to reduce the measurement uncertainty in TBRs, and some book chapters have addressed this topic [30,69]. However, to the best of our knowledge, there are no review articles on TBR measurement uncertainties, calibration, or error reduction strategies.…”

Section: Tipping Bucket Rain Gauges and Their Measurement Uncertaintiesmentioning

confidence: 99%

“…According to [69], all instruments have biases and uncertainties, but in precipitation, their quantification and adjustment are more complex than for other environmental variables due to the variability of hydrometeors. However, this aspect is often forgotten by managers of operational monitoring networks and data users; consequently, biases areforwarded through applications or modeling, resulting in a lack of reliability [66,70,71].…”

Section: Tipping Bucket Rain Gauges and Their Measurement Uncertaintiesmentioning

confidence: 99%

“…In general, an underestimation of total rainfall can be observed, due to the difficulty of TBRs to catch the exact amount of water falling over the projection of the measurement area on the ground (wind, evaporation, splashing, and wetting phenomena) and to correctly measure the amount of water collected by its funnel (mechanical biases). In TBRs, the main sources of measurement biases are those caused by wind and mechanical biases [69,72].…”

Section: Tipping Bucket Rain Gauges and Their Measurement Uncertaintiesmentioning

confidence: 99%

See 1 more Smart Citation

Tipping Bucket Rain Gauges in Hydrological Research: Summary on Measurement Uncertainties, Calibration and Error Reduction Strategies

Segovia-Cardozo,

Bernal-Basurco,

Rodríguez-Sinobas

2023

Preprint

View full text Add to dashboard Cite

Tipping bucket rain gauges (TBRs) have been, and apparently will continue to be one of the most widely used pieces of equipment for rainfall monitoring, being frequently used for the calibration, validation and downscaling of radar and remote sensing data, due to their major advantages–low cost, simplicity, and low energy consumption. Thus, many works have focused and continue to focus on their main disadvantage–measurement biases (mainly in wind and mechanical underestimations). However, despite arduous scientific effort, calibration methodologies are not frequently implemented by monitoring networks operators or data users, propagating bias in databases and in the different applications of such data, causing uncertainty in the modeling, management, and forecasting in hydrological research, mainly due to a lack of knowledge. Within this context, this work presents a review of the scientific advances in TBR measurement uncertainties, calibration, and error reduction strategies from a hydrological point of view, by describing different rainfall monitoring techniques in Section 2, summarizing TBR measurement uncertainties in Section 3, focusing on calibration, and error reduction strategies in Section 4, a discussion and perspectives in Section 5, and conclusions in Section 6, providing an overview of the of the state of the art and future perspectives of the technology.

show abstract

“…Though ranking high among the relevant environmental variables (due to the wellknown significant interactions with the everyday human life and economic activities), atmospheric precipitation is not yet measured operationally with neither the degree of accuracy that would meet the most demanding applications nor any rigorous standardization framework [1,2]. Precipitation records are indeed collected in various countries using different approaches to the treatment of the measurement accuracy and uncertainty issues.…”

mentioning

confidence: 99%

Precipitation Measurement Instruments: Calibration, Accuracy and Performance

Lanza

Cauteruccio

2022

Water

Self Cite

View full text Add to dashboard Cite

show abstract

Accuracy assessment and intercomparison of precipitation measurement instruments

Cited by 8 publications

References 38 publications

A comparison between different methods to fill gaps in early precipitation series

A comparison between different methods to fill gaps in early precipitation series

Tipping Bucket Rain Gauges in Hydrological Research: Summary on Measurement Uncertainties, Calibration and Error Reduction Strategies

Precipitation Measurement Instruments: Calibration, Accuracy and Performance

Contact Info

Product

Resources

About