Evaluation of precipitation measurements obtained from different types of rain gauges

Urban, Grzegorz; Strug, Krzysztof

doi:10.1127/metz/2021/1084

Cited by 4 publications

(1 citation statement)

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“…It should be noted that input to RainGRS, i.e., data from telemetric rain gauges, weather radar and satellite, typically significantly underestimate rainfall compared with data from manual rain gauges (Urban & Strug, 2021).…”

Section: Raingrs Multi-source Precipitation Estimatesmentioning

confidence: 99%

Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation

Pasierb,

Bałdysz,

Szturc

et al. 2024

Meteorological Applications

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Precipitation estimation models are typically sourced by rain gauges, weather radars and satellite observations. A relatively new technique of precipitation estimation relies on the network of Commercial Microwave Links (CMLs) employed for cellular communication networks: the rain‐inducted attenuation in the links enables the precipitation estimation. In the paper, it is analysed to what extent the precipitation derived from CML attenuation data is useful in estimation of the precipitation field with the high temporal and spatial resolution required in nowcasting models. Two methods of determination of precipitation along CMLs from attenuation of signal with several frequencies were proposed. Then, in order to generate precipitation field, three approaches for assigning appropriate precipitation values to a specific point or set of pixels along the link are developed and tested. The CML‐based estimates are compared with point observations from manual rain gauges and multi‐source precipitation fields using daily and half‐hourly accumulations. It was found that the CML‐based precipitation fields are much worse than radar‐derived estimates. At the same time, they had slightly poorer reliability than spatially interpolated telemetric rain gauge data and significantly higher reliability than satellite estimates. Furthermore, the impact of link characteristics, such as length and frequency, on the reliability of CML‐based precipitation estimates is analysed.

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Section: Raingrs Multi-source Precipitation Estimatesmentioning

confidence: 99%

Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation

Pasierb,

Bałdysz,

Szturc

et al. 2024

Meteorological Applications

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Evaluation of the GPM IMERG product at the hourly timescale over China

Wang

Miao

Zhao

et al. 2023

Atmospheric Research

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Generation of Combined Daily Satellite-Based Precipitation Products over Bolivia

Saavedra

Ureña

2022

Remote Sensing

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This study proposes using Satellite-Based Precipitation (SBP) products and local rain gauge data to generate information on the daily precipitation product over Bolivia. The selected SBP products used were the Global Satellite Mapping of Precipitation Gauge, v6 (GSMaP_Gauge v6) and the Climate Hazards Group Infrared Precipitations with Stations (CHIRPS). The Gridded Meteorological Ensemble Tool (GMET) is a generated precipitation product that was used as a control for the newly generated products. The correlation coefficients for raw data from SBP products were found to be between 0.58 and 0.60 when using a daily temporal scale. The applied methodology iterates correction factors for each sub-basin, taking advantage of surface measurements from the national rain gauge network. Five iterations showed stability in the convergence of data values. The generated daily products showed correlation coefficients between 0.87 and 0.98 when using rain gauge data as a control, while GMET showed correlation coefficients of around 0.89 and 0.95. The best results were found in the Altiplano and La Plata sub-basins. The database generated in this study can be used for several daily hydrological applications for Bolivia, including storm analysis and extreme event analysis. Finally, a case study in the Rocha River basin was carried out using the daily generated precipitation product. This was used to force a hydrological model to establish the outcome of simulated daily river discharge. Finally, we recommend the usage of these daily generated precipitation products for a wide spectrum of hydrological applications, using different models to support decision-making.

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Evaluation of precipitation measurements obtained from different types of rain gauges

Cited by 4 publications

References 0 publications

Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation

Application of commercial microwave links (CMLs) attenuation for quantitative estimation of precipitation

Evaluation of the GPM IMERG product at the hourly timescale over China

Generation of Combined Daily Satellite-Based Precipitation Products over Bolivia

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