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

Result code in 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>
Result on the web
<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
—

Result language
angličtina
Original language name
Identifying predictors within information theory framework for uncertainty reduction in commercial microwave links quantitative precipitation estimates
Original language description
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.
Czech name
—
Czech description
—

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)