Identifying predictors within information theory framework for uncertainty reduction in commercial microwave links quantitative precipitation estimates

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00370624" target="_blank" >RIV/68407700:21110/23:00370624 - isvavai.cz</a>

Výsledek na webu

<a href="https://ethz.ch/content/dam/ethz/special-interest/conference-websites-dam/urbanrain-dam/documents/UrbanRain23_BOOK-OF-ABSTRACTS.pdf" target="_blank" >https://ethz.ch/content/dam/ethz/special-interest/conference-websites-dam/urbanrain-dam/documents/UrbanRain23_BOOK-OF-ABSTRACTS.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Identifying predictors within information theory framework for uncertainty reduction in commercial microwave links quantitative precipitation estimates

Popis výsledku v původním jazyce

Commercial microwave links (CMLs) are point-to-point radio connections commonly used in telecommunication networks having a dense spatial coverage especially in urbanized areas. The CMLs have the great potential as opportunistic rainfall sensors as their transmitted signal is sensitive to droplets and attenuated along the link path. Even though the signal attenuation is related to rainfall intensity by simple power law, the quantitative precipitation estimates using microwave links are obscured by uncertainty. This study proposes to use information theory methods to reduce uncertainty in CML quantitative rainfall estimates. This method enables evaluation of the strength of relationships between different variables using discrete probability distributions in target-predictor model and, alongside, it expresses the related estimation uncertainty. The virtue of the method is in its ability to employ any type of data without conceptualizations of its relationships.

Název v anglickém jazyce

Identifying predictors within information theory framework for uncertainty reduction in commercial microwave links quantitative precipitation estimates

Popis výsledku anglicky

Commercial microwave links (CMLs) are point-to-point radio connections commonly used in telecommunication networks having a dense spatial coverage especially in urbanized areas. The CMLs have the great potential as opportunistic rainfall sensors as their transmitted signal is sensitive to droplets and attenuated along the link path. Even though the signal attenuation is related to rainfall intensity by simple power law, the quantitative precipitation estimates using microwave links are obscured by uncertainty. This study proposes to use information theory methods to reduce uncertainty in CML quantitative rainfall estimates. This method enables evaluation of the strength of relationships between different variables using discrete probability distributions in target-predictor model and, alongside, it expresses the related estimation uncertainty. The virtue of the method is in its ability to employ any type of data without conceptualizations of its relationships.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů