Assessing the weather monitoring capabilities of cellular microwave link networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F16%3A00309762" target="_blank" >RIV/68407700:21110/16:00309762 - isvavai.cz</a>
Result on the web
<a href="http://meetingorganizer.copernicus.org/EGU2016/EGU2016-12648.pdf" target="_blank" >http://meetingorganizer.copernicus.org/EGU2016/EGU2016-12648.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Assessing the weather monitoring capabilities of cellular microwave link networks
Original language description
In this contribution we suggest a standardized approach to evaluate commercial microwave link (CML) networks, i.e. telecommunication antennas widely used by mobile phone operators, in terms of rainfall observation and to identify suitable regions for CML rainfall monitoring. We estimate precision of single CML based on its sensitivity to rainfall, i.e.as a function of frequency, polarization and path length. Capability of a network to capture rainfall spatial patterns is estimated from the CML coverage and path lengths considering that single CML provides path-integrated rain rates. We also search for suitable predictors for regions where no network topologies are available. We test our approach on several European networks and discuss the results. Our results show that CMLs are very dense in urban areas (> 1 CML/km2), but less in rural areas (< 0.02 CML/km2).We found a strong correlation between a population and CML network density (e.g. R2 = 0.97 in Czech Republic), thus population could be a simple proxy to identify suitable regions for CML weather monitoring. In summary, our results demonstrate that CML represent promising environmental observation network, suitable especially for urban rainfall monitoring. The developed approach integrated into an open source online tool can be conveniently used e.g. by local operators or authorities to evaluate the suitability of their region for CML weather monitoring and estimate the credible spatial-resolution of a CML weather monitoring product.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
DA - Hydrology and limnology
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA14-22978S" target="_blank" >GA14-22978S: Urban storm water runoff predictions based on rainfall-induced attenuation of telecommunication microwave links</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů