Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F22%3A00351934" target="_blank" >RIV/68407700:21110/22:00351934 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/TGRS.2021.3110004" target="_blank" >https://doi.org/10.1109/TGRS.2021.3110004</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TGRS.2021.3110004" target="_blank" >10.1109/TGRS.2021.3110004</a>
Alternative languages
Result language
angličtina
Original language name
Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction
Original language description
An inadequate correction for wet-antenna attenuation (WAA) often causes a notable bias in quantitative precipitation estimates (QPEs) from commercial microwave links (CMLs) limiting the usability of these rainfall data in hydrological applications. This article analyzes how WAA can be corrected without dedicated rainfall monitoring for a set of 16 CMLs. Using data collected over 53 rainfall events, the performance of six empirical WAA models was studied, both when calibrated to rainfall observations from a permanent municipal rain gauge network and when using model parameters from the literature. The transferability of WAA model parameters among CMLs of various characteristics has also been addressed. The results show that high-quality QPEs with a bias below 5% and root-mean-square error (RMSE) of 1 mm/h in the median could be retrieved, even from subkilometer CMLs where WAA is relatively large compared to raindrop attenuation. Models in which WAA is proportional to rainfall intensity provide better WAA estimates than constant and time-dependent models. It is also shown that the parameters of models deriving WAA explicitly from rainfall intensity are independent of CML frequency and path length and, thus, transferable to other locations with CMLs of similar antenna properties.
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
10509 - Meteorology and atmospheric sciences
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
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Geoscience and Remote Sensing
ISSN
0196-2892
e-ISSN
1558-0644
Volume of the periodical
60
Issue of the periodical within the volume
4104409
Country of publishing house
US - UNITED STATES
Number of pages
9
Pages from-to
1-9
UT code for WoS article
000732753300001
EID of the result in the Scopus database
2-s2.0-85114040492