Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283660893> ?p ?o ?g. }
- W4283660893 endingPage "2183" @default.
- W4283660893 startingPage "2169" @default.
- W4283660893 abstract "Abstract. Rainfall-induced landslides (RILs) are an issue in the southern Andes nowadays. RILs cause loss of life and damage to critical infrastructure. Rainfall-induced landslide early warning systems (RILEWSs) can reduce and mitigate economic and social damages related to RIL events. The southern Andes do not have an operational-scale RILEWS yet. In this contribution, we present a pre-operational RILEWS based on the Weather and Research Forecast (WRF) model and geomorphological features coupled to logistic models in the southern Andes. The models have been forced using precipitation simulations. We correct the precipitation derived from WRF using 12 weather stations through a bias correction approach. The models were trained using 57 well-characterized RILs and validated by ROC analysis. We show that WRF has strong limitations in representing the spatial variability in the precipitation. Therefore, accurate precipitation needs a bias correction in the study zone. We used accurate precipitation simulation and slope, demonstrating a high predicting capacity (area under the curve, AUC, of 0.80). We conclude that our proposal could be suitable at an operational level under determined conditions. A reliable RIL database and operational weather networks that allow real-time correction of the mesoscale model in the implemented zone are needed. The RILEWSs could become a support to decision-makers during extreme-precipitation events related to climate change in the south of the Andes." @default.
- W4283660893 created "2022-06-29" @default.
- W4283660893 creator A5001863308 @default.
- W4283660893 creator A5017059395 @default.
- W4283660893 creator A5021109762 @default.
- W4283660893 creator A5024056473 @default.
- W4283660893 creator A5056897283 @default.
- W4283660893 date "2022-06-28" @default.
- W4283660893 modified "2023-10-17" @default.
- W4283660893 title "Rainfall-induced landslide early warning system based on corrected mesoscale numerical models: an application for the southern Andes" @default.
- W4283660893 cites W1226994850 @default.
- W4283660893 cites W1912982817 @default.
- W4283660893 cites W1987251669 @default.
- W4283660893 cites W2003123646 @default.
- W4283660893 cites W2009620879 @default.
- W4283660893 cites W2016451892 @default.
- W4283660893 cites W2023411248 @default.
- W4283660893 cites W2027219405 @default.
- W4283660893 cites W2040855111 @default.
- W4283660893 cites W2084557503 @default.
- W4283660893 cites W2128225313 @default.
- W4283660893 cites W2133925690 @default.
- W4283660893 cites W2136508897 @default.
- W4283660893 cites W2153656222 @default.
- W4283660893 cites W2158698691 @default.
- W4283660893 cites W2172191993 @default.
- W4283660893 cites W2189898778 @default.
- W4283660893 cites W2508394613 @default.
- W4283660893 cites W2530171224 @default.
- W4283660893 cites W2553127931 @default.
- W4283660893 cites W2587566521 @default.
- W4283660893 cites W2600291882 @default.
- W4283660893 cites W2672696483 @default.
- W4283660893 cites W2756071929 @default.
- W4283660893 cites W2771720218 @default.
- W4283660893 cites W2788379540 @default.
- W4283660893 cites W2792546905 @default.
- W4283660893 cites W2883299563 @default.
- W4283660893 cites W2886684835 @default.
- W4283660893 cites W2890396651 @default.
- W4283660893 cites W2896709748 @default.
- W4283660893 cites W2897523292 @default.
- W4283660893 cites W2898962279 @default.
- W4283660893 cites W2900235551 @default.
- W4283660893 cites W2901542589 @default.
- W4283660893 cites W2903533663 @default.
- W4283660893 cites W2928925641 @default.
- W4283660893 cites W2968594561 @default.
- W4283660893 cites W2971273415 @default.
- W4283660893 cites W2979094805 @default.
- W4283660893 cites W2980118047 @default.
- W4283660893 cites W2982569617 @default.
- W4283660893 cites W2995963213 @default.
- W4283660893 cites W2996413371 @default.
- W4283660893 cites W2997778075 @default.
- W4283660893 cites W3004865629 @default.
- W4283660893 cites W3013534702 @default.
- W4283660893 cites W3016076445 @default.
- W4283660893 cites W3019651312 @default.
- W4283660893 cites W3040153023 @default.
- W4283660893 cites W3045135671 @default.
- W4283660893 cites W3062030921 @default.
- W4283660893 cites W3081409010 @default.
- W4283660893 cites W3089720338 @default.
- W4283660893 cites W3093208353 @default.
- W4283660893 cites W3118469160 @default.
- W4283660893 cites W3118922931 @default.
- W4283660893 cites W3124865565 @default.
- W4283660893 cites W3151246941 @default.
- W4283660893 cites W3158788103 @default.
- W4283660893 cites W3196801283 @default.
- W4283660893 cites W324678070 @default.
- W4283660893 cites W4301861531 @default.
- W4283660893 cites W567294513 @default.
- W4283660893 doi "https://doi.org/10.5194/nhess-22-2169-2022" @default.
- W4283660893 hasPublicationYear "2022" @default.
- W4283660893 type Work @default.
- W4283660893 citedByCount "5" @default.
- W4283660893 countsByYear W42836608932022 @default.
- W4283660893 countsByYear W42836608932023 @default.
- W4283660893 crossrefType "journal-article" @default.
- W4283660893 hasAuthorship W4283660893A5001863308 @default.
- W4283660893 hasAuthorship W4283660893A5017059395 @default.
- W4283660893 hasAuthorship W4283660893A5021109762 @default.
- W4283660893 hasAuthorship W4283660893A5024056473 @default.
- W4283660893 hasAuthorship W4283660893A5056897283 @default.
- W4283660893 hasBestOaLocation W42836608931 @default.
- W4283660893 hasConcept C107054158 @default.
- W4283660893 hasConcept C127313418 @default.
- W4283660893 hasConcept C133204551 @default.
- W4283660893 hasConcept C153294291 @default.
- W4283660893 hasConcept C186295008 @default.
- W4283660893 hasConcept C187320778 @default.
- W4283660893 hasConcept C205649164 @default.
- W4283660893 hasConcept C2778755073 @default.
- W4283660893 hasConcept C2779296788 @default.
- W4283660893 hasConcept C29825287 @default.
- W4283660893 hasConcept C39432304 @default.