Evaluation of error components in rainfall retrieval from collocated commercial microwave links
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00367550" target="_blank" >RIV/68407700:21110/23:00367550 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.5194/amt-16-3865-2023" target="_blank" >https://doi.org/10.5194/amt-16-3865-2023</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/amt-16-3865-2023" target="_blank" >10.5194/amt-16-3865-2023</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of error components in rainfall retrieval from collocated commercial microwave links
Original language description
Opportunistic rainfall sensing using commercial microwave links (CMLs) operating in telecommunication networks has the potential to complement conventional rainfall monitoring; however, the diversity of sensors and their errors are difficult to handle. This analysis empirically evaluates errors in CML observations that manifest discrepancies between collocated sensors without reference to rainfall measurements. Collocated CMLs are evaluated as independent rainfall sensors and enable us to assess the effect of hardware homogeneity and measurement consistency using CML observations at 12 sites within a real telecommunication network in Prague. The evaluation considers 33 rainfall events distinguishing between stratiform and convective rainfall types in the period of 2014–2016, monitored at 1 min temporal resolution. Collocated CMLs of identical and different frequencies are evaluated, and different rainfall types are discussed. The collocated CMLs are in excellent agreement. The inherent error in rain-induced attenuation for paired independent CMLs is 0.4 dB. The high correlation of the rainfall intensity measurements between the collocated sensors was obtained in a range of 0.96 to 0.99, and the root mean square error ranges from 0.4 to 1.7 mm h-1. This confirms the homogeneous behaviour of the hardware in a real network. Therefore, the data of CMLs of the same characteristics can be processed with identical parameters for rainfall retrieval models.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20705 - Remote sensing
Result continuities
Project
<a href="/en/project/GC20-14151J" target="_blank" >GC20-14151J: Spatial rainfall estimates using improved observations from commercial microwave links and statistical data fusion (SpraiLINK)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Atmospheric Measurement Techniques
ISSN
1867-1381
e-ISSN
1867-8548
Volume of the periodical
16
Issue of the periodical within the volume
16
Country of publishing house
DE - GERMANY
Number of pages
15
Pages from-to
3865-3879
UT code for WoS article
001052935700001
EID of the result in the Scopus database
2-s2.0-85172889351