The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

Binetti, Maria Silvia; Campanale, Claudia; Massarelli, Carmine; Uricchio, Vito Felice

doi:10.3390/earth3010012

Cited by 15 publications

(7 citation statements)

References 64 publications

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“…Negative values, such as −10 dBZ, indicate very weak radar echoes, typically associated with light drizzle or very light rain. As the reflectivity values increase, the precipitation intensity also increases (Binetti et al., 2022).…”

Section: Resultsmentioning

confidence: 99%

Separation of Water Level Change From Atmospheric Artifacts Through Application of Independent Component Analysis to InSAR Time Series

Belhadj‐aissa,

Simard,

Jones

et al. 2024

Earth and Space Science

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In recent years, synthetic aperture radar (SAR) interferometry (InSAR) has emerged as a valuable tool for measuring water level change (WLC) to study hydrodynamic processes in coastal wetlands. However, the highly dynamic wet atmosphere conditions common in these areas have a significant impact on InSAR observations, producing errors in the derived values. Standard methods for estimating atmospheric noise in InSAR time series lack the spatial or temporal resolution needed to adequately correct for wet tropospheric delays. In this study, we utilize the Independent Component Analysis (ICA) signal decomposition technique to identify the likely WLC signal and eliminate atmospheric noise in a time series derived from rapid repeat measurements made with the L‐band uninhabited aerial vehicle synthetic aperture radar airborne instrument. The method compares in‐situ water level measurements with the independent components (IC) to identify the ICA components corresponding to WLC. The signal‐to‐noise ratio between the WLC after the ICA‐based filtering and in situ water level gauges used for validation reaches 16 dB compared to an average of 2.6 dB before filtering. The excluded IC are used to generate maps showing a time series of likely atmospheric features. The identified features in the maps generally correspond to atmospheric features identifiable in Next Generation Weather Radar (NEXRAD) S‐band ground weather radar reflectivity maps collected during the SAR acquisitions. The method is sufficiently general to be applied to any InSAR‐derived surface displacement time series.

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Section: Resultsmentioning

confidence: 99%

Separation of Water Level Change From Atmospheric Artifacts Through Application of Independent Component Analysis to InSAR Time Series

Belhadj‐aissa,

Simard,

Jones

et al. 2024

Earth and Space Science

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“…Valuable alternatives can be offered by the use of interpolated and remotely sensed datasets, the latter obtained from satellites or ground radars: by means of these, in fact, spatial and synoptic information over large areas can be obtained through limited processing and the application of strong methodologies [40][41][42].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Water Stress Conditions in Central Italy by the Use of Ground and Remotely Sensed Weather Datasets

Pieri

Chiesi

Fibbi

et al. 2022

Water

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Aridity and drought, which are determined by climatic and temporary water scarcity, respectively, are important limiting factors for plant gross primary production. These phenomena are commonly assessed and/or monitored by means of weather indices, most of which are based on observations of precipitation and potential evapotranspiration. The estimation of such indices over large areas can be carried out using multiple datasets, i.e., those derived from weather stations, satellite images, and ground radars. The possibility of using interpolated or remotely sensed datasets in place of ground measurements was currently investigated for Tuscany, a region in Central Italy, showing complex and heterogeneous environmental features. The former weather datasets were first evaluated versus corresponding ground measurements. Next, the basic weather variables were combined and cumulated over 30–60 days to yield synthetic indicators of water deficit, which were assessed in the same way. Finally, these indicators were evaluated to predict the soil water conditions of a meadow and an olive grove during the 2021 summer period. The results obtained indicate that the use of the multi-source weather datasets induces only a minor deterioration of the water stress indicators and is therefore efficient to monitor the water status of different ecosystems with high spatial (200 m) and temporal (daily) details.

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“…Fifty per cent of land cultivated depends on pollinators, and even more is subjected to anthropic pressures deriving from plant protection products, habitat destruction and climate change. A sustainable agrifood system based on functional diversity and a vegetation cover stabilising the microclimate, supporting pest control and pollination and reducing soil erosion is essential [138,139].…”

Section: Methodsmentioning

confidence: 99%

Dithiocarbamates: Properties, Methodological Approaches and Challenges to Their Control

Campanale,

Triozzi,

Ragonese

et al. 2023

Toxics

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Dithiocarbamates (DTCs) are a group of chemicals used primarily as fungicides, although they are exploited for various other applications. DTCs represent one of the oldest classes of broad-spectrum fungicides employed worldwide to control fungal diseases on many crops. Due to their ease of synthesis, low production costs (cheap and readily available starting materials) and a fungicidal activity with a multi-site mode of action, they are still among modern agriculture’s most extensively used pesticides. Although the environmental degradation in air, water, and soil is relatively rapid due to photolysis and/or hydrolysis, they are among the most frequently detected pesticides in the European Union (EU), also with a high frequency of maximum residue level (MRL) exceedances. The current review aims to comprehensively survey all aspects of DTCs, including the environmental fate, toxicity and analytical methods for determining parental compounds and degradation products in environmental and food samples. Furthermore, the accumulation of carbamate and dithiocarbamate pesticides in vegetables, fruits, bioindicator organisms and human biological samples, as well as their health effects on humans, are also considered in this study.

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The Use of Weather Radar Data: Possibilities, Challenges and Advanced Applications

Cited by 15 publications

References 64 publications

Separation of Water Level Change From Atmospheric Artifacts Through Application of Independent Component Analysis to InSAR Time Series

Separation of Water Level Change From Atmospheric Artifacts Through Application of Independent Component Analysis to InSAR Time Series

Assessment of Water Stress Conditions in Central Italy by the Use of Ground and Remotely Sensed Weather Datasets

Dithiocarbamates: Properties, Methodological Approaches and Challenges to Their Control

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