Calibrating microwave link rainfall retrieval model using runoff observations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00331093" target="_blank" >RIV/68407700:21110/19:00331093 - isvavai.cz</a>

Výsledek na webu

<a href="https://meetingorganizer.copernicus.org/EGU2019/EGU2019-10072.pdf" target="_blank" >https://meetingorganizer.copernicus.org/EGU2019/EGU2019-10072.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Calibrating microwave link rainfall retrieval model using runoff observations

Popis výsledku v původním jazyce

Commercial microwave links (CMLs), point-to-point radio connections widely used as cellular backhaul, can provide path-integrated quantitative precipitation estimates (QPEs) as they operate at frequencies where radio wave attenuation caused by raindrops is almost proportional to rainfall intensity. CML networks are typically very dense in urbanized areas, and thus, they represent a promising source of rainfall observations for applications where rainfall information of high spatiotemporal resolution is required, such as urban rainfall-runoff modelling. The relationship between the raindrop-induced attenuation and rainfall intensity is robust and well understood. Nevertheless, in order to obtain unbiased QPEs, the raindrop-induced attenuation has to be separated from attenuation caused by antenna wetting, what is a complex process highly dependent on site-specific conditions and characteristics of each single CML unit. Current methods for WAA estimation have been typically derived from specialized experiments, and thus, they are often unable to take into account all the case-specific factors. Therefore, incorrect WAA estimation is a common source of errors in CML QPEs. When compared to the raindrop-induced attenuation, WAA is relatively large especially for short CMLs (path lengths < 2000 m). We propose a backwards-hydrology approach where WAA is estimated using discharges observed at the outlet from a catchment, which represent transformed rainfall information. The proposed method is validated on a calibrated rainfall-runoff model of a small urban catchment (1.3 km2) in Prague-Letňany, Czech Republic, using data from 19 CMLs and one flow meter collected for three summer seasons.

Název v anglickém jazyce

Calibrating microwave link rainfall retrieval model using runoff observations

Popis výsledku anglicky

Commercial microwave links (CMLs), point-to-point radio connections widely used as cellular backhaul, can provide path-integrated quantitative precipitation estimates (QPEs) as they operate at frequencies where radio wave attenuation caused by raindrops is almost proportional to rainfall intensity. CML networks are typically very dense in urbanized areas, and thus, they represent a promising source of rainfall observations for applications where rainfall information of high spatiotemporal resolution is required, such as urban rainfall-runoff modelling. The relationship between the raindrop-induced attenuation and rainfall intensity is robust and well understood. Nevertheless, in order to obtain unbiased QPEs, the raindrop-induced attenuation has to be separated from attenuation caused by antenna wetting, what is a complex process highly dependent on site-specific conditions and characteristics of each single CML unit. Current methods for WAA estimation have been typically derived from specialized experiments, and thus, they are often unable to take into account all the case-specific factors. Therefore, incorrect WAA estimation is a common source of errors in CML QPEs. When compared to the raindrop-induced attenuation, WAA is relatively large especially for short CMLs (path lengths < 2000 m). We propose a backwards-hydrology approach where WAA is estimated using discharges observed at the outlet from a catchment, which represent transformed rainfall information. The proposed method is validated on a calibrated rainfall-runoff model of a small urban catchment (1.3 km2) in Prague-Letňany, Czech Republic, using data from 19 CMLs and one flow meter collected for three summer seasons.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

10501 - Hydrology

Projekt

<a href="/cs/project/GA17-16389S" target="_blank" >GA17-16389S: Odvození hydrologických veličin z šíření radiových vln v síti pevných mikrovlnných spojů</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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