Evolution of Radar and Lightning Variables in Convective Events in Barcelona and Surroundings for the Period 2006–2020

Rigo, Tomeu; Castillo, Sergio

doi:10.21926/aeer.2102004

Cited by 4 publications

(3 citation statements)

References 44 publications

(59 reference statements)

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“…This issue is of high importance at the time of managing the different resources associated with the life cycle of water, as the rivers, the settle, or the run-off [6][7][8]. Castillo and Rigo [9,10] showed this high variability of the precipitation regimes in the region of study through the comparison of radar fields and the lightning discharges detected.…”

Section: Introductionmentioning

confidence: 95%

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Warm Rain Analysis from Remote Sensing Data in the Metropolitan Area of Barcelona for 2015–2022

Rigo¹

2023

Hydrology

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The Metropolitan Area of Barcelona is one of the most densely populated European regions. The hydrological conditions are very extreme, as are those of the Mediterranean Basin, with long drought periods. The management of water systems is one of the priorities, implying the understanding of the whole life cycle of water. One of the worst-known steps in this cycle corresponds to the rainfall events occurring between warm and cold periods, with quasi-tropical precipitation but with little or no lightning activity. This manuscript relies on the analysis of this type of precipitation for 2015–2022 for characterization and modelling to provide the signatures that can help diagnose these events in real time. The comparison of cold convective and warm rain events thorough radar, lightning and numerical weather prediction data has allowed us to find the main differences between both types. Warm rain events are predominant in the region, with more than 70% cases exceeding 10 mm of daily precipitation. The maritime influence is crucial in most of the warm rain episodes.

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Section: Introductionmentioning

confidence: 95%

“… [10] has more information regarding these data. *Freezing level fields: maps of the height of the freezing level derived from the operational running model of the Servei Meteorològic de Catalunya: the Weather Research…”

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confidence: 99%

Warm Rain Analysis from Remote Sensing Data in the Metropolitan Area of Barcelona for 2015–2022

Rigo¹

2023

Hydrology

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“…Heavy rain, hail, lightning, and other strong convective weather events usually have the characteristics of strong intensity, rapid development, and wide distribution, thus causing high impacts on people’s lives and economic development [ 1 , 2 , 3 ]. Warning and responding to severe convective weather events require accurate and timely observations with high spatial and temporal resolutions.…”

Section: Introductionmentioning

confidence: 99%

Radar Composite Reflectivity Reconstruction Based on FY-4A Using Deep Learning

Yang

Zhao

Xue

et al. 2022

Sensors

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Weather radars are commonly used to track the development of convective storms due to their high resolution and accuracy. However, the coverage of existing weather radar is very limited, especially in mountainous and ocean areas. Geostationary meteorological satellites can provide near global coverage and near real-time observations, which can compensate for the lack of radar observations. In this paper, a deep learning method was used to estimate the radar composite reflectivity from observations of China’s new-generation geostationary meteorological satellite FY-4A and topographic data. The derived radar reflectivity products from satellite observations can be used over regions without radar coverage. In general, the deep learning model can reproduce the overall position, shape, and intensity of the radar echoes. In addition, evaluation of the reconstruction radar observations indicates that a modified model based on the attention mechanism (Attention U-Net model) has better performance than the traditional U-Net model in terms of all statistics such as the probability of detection (POD), critical success index (CSI), and root-mean-square error (RMSE), and the modified model has stronger capability on reconstructing details and strong echoes.

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Can the Correlation between Radar and Cloud-to-Ground Daily Fields Help to Identify the Different Rainfall Regimes? The Case of Catalonia

2022

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The rainfall regime is changing in the Catalan territory, likely in most areas in the Mediterranean Basin. This variability, spatial and temporal, means that there may be periods of severe drought combined with periods of heavy rainfall and floods. In this way, the management of water resources is complicated and can produce a high impact on different social aspects. The high convective activity leads to investigating the relationship between the electric discharges and radar parameters (reflectivity, echo top, vertically integrated liquid, and accumulated rainfall). The correlation allows identifying some elements that may be significant in terms of changes in rainfall regimes. Besides, using several radar parameters apart from precipitation accumulation reveals interesting explicit patterns of the previously known. These patterns can help better understand the precipitation behavior and the changes associated with it.

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Evolution of Radar and Lightning Variables in Convective Events in Barcelona and Surroundings for the Period 2006–2020

Cited by 4 publications

References 44 publications

Warm Rain Analysis from Remote Sensing Data in the Metropolitan Area of Barcelona for 2015–2022

Warm Rain Analysis from Remote Sensing Data in the Metropolitan Area of Barcelona for 2015–2022

Radar Composite Reflectivity Reconstruction Based on FY-4A Using Deep Learning

Can the Correlation between Radar and Cloud-to-Ground Daily Fields Help to Identify the Different Rainfall Regimes? The Case of Catalonia

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