The suitability of precipitation estimates from short CMLs for urban hydrological predictions
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
The suitability of precipitation estimates from short CMLs for urban hydrological predictions
Original language description
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.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10501 - Hydrology
Result continuities
Project
<a href="/en/project/GA17-16389S" target="_blank" >GA17-16389S: Hydrological estimates from radiowave propagation in terrestial microwave network</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů