Matches in SemOpenAlex for { <https://semopenalex.org/work/W3189501104> ?p ?o ?g. }
- W3189501104 endingPage "4356" @default.
- W3189501104 startingPage "4335" @default.
- W3189501104 abstract "Abstract. An accurate estimate of precipitation is essential to improve the reliability of hydrological models and helps in decision making in agriculture and economy. Merged radar–rain-gauge products provide precipitation estimates at high spatial and temporal resolution. In this study, we assess the ability of the INCA (Integrated Nowcasting through Comprehensive Analysis) precipitation analysis product provided by ZAMG (the Austrian Central Institute for Meteorology and Geodynamics) in detecting and estimating precipitation for 12 years in southeastern Austria. The blended radar–rain-gauge INCA precipitation analyses are evaluated using WegenerNet – a very dense rain-gauge network with about one station per 2 km2 – as “true precipitation”. We analyze annual, seasonal, and extreme precipitation of the 1 km × 1 km INCA product and its development from 2007 to 2018. From 2007 to 2011, the annual area-mean precipitation in INCA was slightly higher than WegenerNet, except in 2009. However, INCA underestimates precipitation in grid cells farther away from the two ZAMG meteorological stations in the study area (which are used as input for INCA), especially from May to September (“wet season”). From 2012 to 2014, INCA's overestimation of the annual-mean precipitation amount is even higher, with an average of 25 %, but INCA performs better close to the two ZAMG stations. Since new radars were installed during this period, we conclude that this increase in the overestimation is due to new radars' systematic errors. From 2015 onwards, the overestimation is still dominant in most cells but less pronounced than during the second period, with an average of 12.5 %. Regarding precipitation detection, INCA performs better during the wet seasons. Generally, false events in INCA happen less frequently in the cells closer to the ZAMG stations than in other cells. The number of true events, however, is comparably low closer to the ZAMG stations. The difference between INCA and WegenerNet estimates is more noticeable for extremes. We separate individual events using a 1 h minimum inter-event time (MIT) and demonstrate that INCA underestimates the events' peak intensity until 2012 and overestimates this value after mid-2012 in most cases. In general, the precipitation rate and the number of grid cells with precipitation are higher in INCA. Considering four extreme convective short-duration events, there is a time shift in peak intensity detection. The relative differences in the peak intensity in these events can change from approximately −40 % to 40 %. The results show that the INCA analysis product has been improving; nevertheless, the errors and uncertainties of INCA to estimate short-duration convective rainfall events and the peak of extreme events should be considered for future studies. The results of this study can be used for further improvements of INCA products as well as for future hydrological studies in regions with moderately hilly topography and convective dominance in summer." @default.
- W3189501104 created "2021-08-16" @default.
- W3189501104 creator A5021802391 @default.
- W3189501104 creator A5052701499 @default.
- W3189501104 creator A5085939264 @default.
- W3189501104 creator A5086594050 @default.
- W3189501104 date "2021-08-06" @default.
- W3189501104 modified "2023-10-12" @default.
- W3189501104 title "Evaluation of Integrated Nowcasting through Comprehensive Analysis (INCA) precipitation analysis using a dense rain-gauge network in southeastern Austria" @default.
- W3189501104 cites W1524420836 @default.
- W3189501104 cites W1976829805 @default.
- W3189501104 cites W1979856405 @default.
- W3189501104 cites W2024688242 @default.
- W3189501104 cites W2028688915 @default.
- W3189501104 cites W2048344816 @default.
- W3189501104 cites W2066875624 @default.
- W3189501104 cites W2074063924 @default.
- W3189501104 cites W2076318482 @default.
- W3189501104 cites W2094850086 @default.
- W3189501104 cites W2099270539 @default.
- W3189501104 cites W2113291813 @default.
- W3189501104 cites W2127583257 @default.
- W3189501104 cites W2140706912 @default.
- W3189501104 cites W2154630578 @default.
- W3189501104 cites W2156324340 @default.
- W3189501104 cites W2160804315 @default.
- W3189501104 cites W2162343095 @default.
- W3189501104 cites W2166452583 @default.
- W3189501104 cites W2341721186 @default.
- W3189501104 cites W2556191772 @default.
- W3189501104 cites W2616958350 @default.
- W3189501104 cites W2620268079 @default.
- W3189501104 cites W2800294434 @default.
- W3189501104 cites W2900554397 @default.
- W3189501104 cites W2946755099 @default.
- W3189501104 cites W2957941327 @default.
- W3189501104 cites W2967991418 @default.
- W3189501104 cites W2994490449 @default.
- W3189501104 cites W2996748619 @default.
- W3189501104 cites W3033237139 @default.
- W3189501104 cites W3107441553 @default.
- W3189501104 cites W3142544252 @default.
- W3189501104 cites W4206165574 @default.
- W3189501104 doi "https://doi.org/10.5194/hess-25-4335-2021" @default.
- W3189501104 hasPublicationYear "2021" @default.
- W3189501104 type Work @default.
- W3189501104 sameAs 3189501104 @default.
- W3189501104 citedByCount "3" @default.
- W3189501104 countsByYear W31895011042023 @default.
- W3189501104 crossrefType "journal-article" @default.
- W3189501104 hasAuthorship W3189501104A5021802391 @default.
- W3189501104 hasAuthorship W3189501104A5052701499 @default.
- W3189501104 hasAuthorship W3189501104A5085939264 @default.
- W3189501104 hasAuthorship W3189501104A5086594050 @default.
- W3189501104 hasBestOaLocation W31895011041 @default.
- W3189501104 hasConcept C107054158 @default.
- W3189501104 hasConcept C120961793 @default.
- W3189501104 hasConcept C127313418 @default.
- W3189501104 hasConcept C140178040 @default.
- W3189501104 hasConcept C153294291 @default.
- W3189501104 hasConcept C205649164 @default.
- W3189501104 hasConcept C2781013037 @default.
- W3189501104 hasConcept C39432304 @default.
- W3189501104 hasConcept C41008148 @default.
- W3189501104 hasConcept C49204034 @default.
- W3189501104 hasConcept C554190296 @default.
- W3189501104 hasConcept C75398719 @default.
- W3189501104 hasConcept C76155785 @default.
- W3189501104 hasConceptScore W3189501104C107054158 @default.
- W3189501104 hasConceptScore W3189501104C120961793 @default.
- W3189501104 hasConceptScore W3189501104C127313418 @default.
- W3189501104 hasConceptScore W3189501104C140178040 @default.
- W3189501104 hasConceptScore W3189501104C153294291 @default.
- W3189501104 hasConceptScore W3189501104C205649164 @default.
- W3189501104 hasConceptScore W3189501104C2781013037 @default.
- W3189501104 hasConceptScore W3189501104C39432304 @default.
- W3189501104 hasConceptScore W3189501104C41008148 @default.
- W3189501104 hasConceptScore W3189501104C49204034 @default.
- W3189501104 hasConceptScore W3189501104C554190296 @default.
- W3189501104 hasConceptScore W3189501104C75398719 @default.
- W3189501104 hasConceptScore W3189501104C76155785 @default.
- W3189501104 hasFunder F4320321181 @default.
- W3189501104 hasIssue "8" @default.
- W3189501104 hasLocation W31895011041 @default.
- W3189501104 hasLocation W31895011042 @default.
- W3189501104 hasLocation W31895011043 @default.
- W3189501104 hasOpenAccess W3189501104 @default.
- W3189501104 hasPrimaryLocation W31895011041 @default.
- W3189501104 hasRelatedWork W188653796 @default.
- W3189501104 hasRelatedWork W2106787481 @default.
- W3189501104 hasRelatedWork W2201611733 @default.
- W3189501104 hasRelatedWork W2353788459 @default.
- W3189501104 hasRelatedWork W2949655323 @default.
- W3189501104 hasRelatedWork W3006494102 @default.
- W3189501104 hasRelatedWork W4307862161 @default.
- W3189501104 hasRelatedWork W4308662224 @default.
- W3189501104 hasRelatedWork W4313431925 @default.
- W3189501104 hasRelatedWork W4318219074 @default.