The suitability of precipitation estimates from short CMLs for urban hydrological predictions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00331094" target="_blank" >RIV/68407700:21110/18:00331094 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.research-collection.ethz.ch/handle/20.500.11850/347556" target="_blank" >https://www.research-collection.ethz.ch/handle/20.500.11850/347556</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3929/ethz-b-000347556" target="_blank" >10.3929/ethz-b-000347556</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The suitability of precipitation estimates from short CMLs for urban hydrological predictions

Popis výsledku v původním jazyce

Commercial microwave links (CMLs) can provide path-integrated quantitative precipitation estimates (QPEs). Path lengths of short (< 2 km) CMLs usually well correspond to the spatial scale of urban (sub)catchments. However, QPEs derived from short CMLs are prone to be biased. Thus, it is unclear whether rainfall-runoff models can benefit from the well-fitting lengths of the short CMLs. For a small (1.3 km2) urban catchment drained by a separate sewer system and located in Prague, Czech Republic, we assess the performance of rainfall-runoff simulations executed using QPEs from CMLs of various lengths as model inputs. This is done by comparing the simulated runoffs with storm water discharges observed at the catchment outlet. Runoffs simulated using QPEs from short CMLs are very often biased and, in terms of Nash-Sutcliffe Efficiency, worse than when using long CMLs. However, the short CMLs lead to very good model performance in terms of Pearson correlation, they even outperform municipal rain gauges during heavy rainfalls. This suggest that there is valuable information about temporal dynamics of heavy rainfalls included in the QPEs from short CMLs. Yet, we show that this information is damaged when correcting the bias in the CML QPEs using a method based on adjusting the QPEs to rain gauge data.

Název v anglickém jazyce

The suitability of precipitation estimates from short CMLs for urban hydrological predictions

Popis výsledku anglicky

Commercial microwave links (CMLs) can provide path-integrated quantitative precipitation estimates (QPEs). Path lengths of short (< 2 km) CMLs usually well correspond to the spatial scale of urban (sub)catchments. However, QPEs derived from short CMLs are prone to be biased. Thus, it is unclear whether rainfall-runoff models can benefit from the well-fitting lengths of the short CMLs. For a small (1.3 km2) urban catchment drained by a separate sewer system and located in Prague, Czech Republic, we assess the performance of rainfall-runoff simulations executed using QPEs from CMLs of various lengths as model inputs. This is done by comparing the simulated runoffs with storm water discharges observed at the catchment outlet. Runoffs simulated using QPEs from short CMLs are very often biased and, in terms of Nash-Sutcliffe Efficiency, worse than when using long CMLs. However, the short CMLs lead to very good model performance in terms of Pearson correlation, they even outperform municipal rain gauges during heavy rainfalls. This suggest that there is valuable information about temporal dynamics of heavy rainfalls included in the QPEs from short CMLs. Yet, we show that this information is damaged when correcting the bias in the CML QPEs using a method based on adjusting the QPEs to rain gauge data.

Druh

O - Ostatní výsledky

CEP obor

—

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

2018

Kód důvěrnosti údajů

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