Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Precipitation Estimates From Commercial Microwave Links: Practical Approaches to Wet-Antenna Correction

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

<a href="/cs/project/GC20-14151J" target="_blank" >GC20-14151J: Plošné srážkové odhady kombinující pozorování z mikrovlnných spojů a statistickou asimilaci dat (SpraiLINK)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Geoscience and Remote Sensing

ISSN

0196-2892

e-ISSN

1558-0644

Svazek periodika

60

Číslo periodika v rámci svazku

4104409

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

9

Strana od-do

1-9

Kód UT WoS článku

000732753300001

EID výsledku v databázi Scopus

2-s2.0-85114040492