Matches in SemOpenAlex for { <https://semopenalex.org/work/W2399348566> ?p ?o ?g. }
- W2399348566 endingPage "253" @default.
- W2399348566 startingPage "237" @default.
- W2399348566 abstract "Analysis of ensemble forecasting strategies, which can provide a tangible backing for flood early warning procedures and mitigation measures over the Mediterranean region, is one of the fundamental motivations of the international HyMeX programme. Here, we examine two severe hydrometeorological episodes that affected the Milano urban area and for which the complex flood protection system of the city did not completely succeed. Indeed, flood damage have exponentially increased during the last 60 years, due to industrial and urban developments. Thus, the improvement of the Milano flood control system needs a synergism between structural and non-structural approaches. First, we examine how land-use changes due to urban development have altered the hydrological response to intense rainfalls. Second, we test a flood forecasting system which comprises the Flash-flood Event-based Spatially distributed rainfall–runoff Transformation, including Water Balance (FEST-WB) and the Weather Research and Forecasting (WRF) models. Accurate forecasts of deep moist convection and extreme precipitation are difficult to be predicted due to uncertainties arising from the numeric weather prediction (NWP) physical parameterizations and high sensitivity to misrepresentation of the atmospheric state; however, two hydrological ensemble prediction systems (HEPS) have been designed to explicitly cope with uncertainties in the initial and lateral boundary conditions (IC/LBCs) and physical parameterizations of the NWP model. No substantial differences in skill have been found between both ensemble strategies when considering an enhanced diversity of IC/LBCs for the perturbed initial conditions ensemble. Furthermore, no additional benefits have been found by considering more frequent LBCs in a mixed physics ensemble, as ensemble spread seems to be reduced. These findings could help to design the most appropriate ensemble strategies before these hydrometeorological extremes, given the computational cost of running such advanced HEPSs for operational purposes." @default.
- W2399348566 created "2016-06-24" @default.
- W2399348566 creator A5002015942 @default.
- W2399348566 creator A5006974868 @default.
- W2399348566 creator A5029955281 @default.
- W2399348566 creator A5031931081 @default.
- W2399348566 creator A5040300653 @default.
- W2399348566 creator A5056582415 @default.
- W2399348566 creator A5076604681 @default.
- W2399348566 date "2016-08-01" @default.
- W2399348566 modified "2023-10-02" @default.
- W2399348566 title "Potentialities of ensemble strategies for flood forecasting over the Milano urban area" @default.
- W2399348566 cites W1647181453 @default.
- W2399348566 cites W1905497902 @default.
- W2399348566 cites W1973802774 @default.
- W2399348566 cites W1975213442 @default.
- W2399348566 cites W1978273417 @default.
- W2399348566 cites W1984160355 @default.
- W2399348566 cites W1984950350 @default.
- W2399348566 cites W1985479415 @default.
- W2399348566 cites W1985623131 @default.
- W2399348566 cites W1987238719 @default.
- W2399348566 cites W1988021563 @default.
- W2399348566 cites W1989111797 @default.
- W2399348566 cites W1990315735 @default.
- W2399348566 cites W1996100021 @default.
- W2399348566 cites W1998614430 @default.
- W2399348566 cites W2003592372 @default.
- W2399348566 cites W2003755045 @default.
- W2399348566 cites W2008757278 @default.
- W2399348566 cites W2009634867 @default.
- W2399348566 cites W2012303743 @default.
- W2399348566 cites W2014562727 @default.
- W2399348566 cites W2015559976 @default.
- W2399348566 cites W2017552124 @default.
- W2399348566 cites W2021993280 @default.
- W2399348566 cites W2028979275 @default.
- W2399348566 cites W2030134440 @default.
- W2399348566 cites W2032435355 @default.
- W2399348566 cites W2032521431 @default.
- W2399348566 cites W2033904036 @default.
- W2399348566 cites W2035719247 @default.
- W2399348566 cites W2040513229 @default.
- W2399348566 cites W2040779146 @default.
- W2399348566 cites W2046810621 @default.
- W2399348566 cites W2049559711 @default.
- W2399348566 cites W2049741199 @default.
- W2399348566 cites W2052201417 @default.
- W2399348566 cites W2052872719 @default.
- W2399348566 cites W2055004415 @default.
- W2399348566 cites W2055975227 @default.
- W2399348566 cites W2061465135 @default.
- W2399348566 cites W2061604681 @default.
- W2399348566 cites W2062926622 @default.
- W2399348566 cites W2064043128 @default.
- W2399348566 cites W2067909784 @default.
- W2399348566 cites W2069824076 @default.
- W2399348566 cites W2077822207 @default.
- W2399348566 cites W2083162420 @default.
- W2399348566 cites W2083339292 @default.
- W2399348566 cites W2088395540 @default.
- W2399348566 cites W2090833428 @default.
- W2399348566 cites W2091164145 @default.
- W2399348566 cites W2099812305 @default.
- W2399348566 cites W2100278889 @default.
- W2399348566 cites W2103680334 @default.
- W2399348566 cites W2108104316 @default.
- W2399348566 cites W2109578281 @default.
- W2399348566 cites W2120933360 @default.
- W2399348566 cites W2125625725 @default.
- W2399348566 cites W2135116546 @default.
- W2399348566 cites W2137823330 @default.
- W2399348566 cites W2144668858 @default.
- W2399348566 cites W2151545251 @default.
- W2399348566 cites W2158397231 @default.
- W2399348566 cites W2165679465 @default.
- W2399348566 cites W2167010963 @default.
- W2399348566 cites W2170641321 @default.
- W2399348566 cites W2178483954 @default.
- W2399348566 cites W2179912439 @default.
- W2399348566 cites W2181185446 @default.
- W2399348566 cites W4254672867 @default.
- W2399348566 cites W572368787 @default.
- W2399348566 doi "https://doi.org/10.1016/j.jhydrol.2016.05.023" @default.
- W2399348566 hasPublicationYear "2016" @default.
- W2399348566 type Work @default.
- W2399348566 sameAs 2399348566 @default.
- W2399348566 citedByCount "37" @default.
- W2399348566 countsByYear W23993485662017 @default.
- W2399348566 countsByYear W23993485662018 @default.
- W2399348566 countsByYear W23993485662019 @default.
- W2399348566 countsByYear W23993485662020 @default.
- W2399348566 countsByYear W23993485662021 @default.
- W2399348566 countsByYear W23993485662022 @default.
- W2399348566 countsByYear W23993485662023 @default.
- W2399348566 crossrefType "journal-article" @default.
- W2399348566 hasAuthorship W2399348566A5002015942 @default.
- W2399348566 hasAuthorship W2399348566A5006974868 @default.