FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2080453776> ?p ?o ?g. }

• W2080453776 endingPage "302" @default.
• W2080453776 startingPage "285" @default.
• W2080453776 abstract "Large scale rainfall models are needed for collective risk estimation in flood insurance, infrastructure networks and water resource management applications. There is a lack of models which can provide simulations over large river basins (potentially multi-national) at appropriate spatial resolution (e.g., 5–25 km) that preserve both the local properties of rainfall (i.e., marginal distributions and temporal correlation) and the spatial structure of the field (i.e., the spatial dependence structure). In this study we describe a methodology which merges meta-Gaussian random fields and generalized additive models to simulate realistic rainfall fields at daily time scale over large areas. Unlike other techniques previously proposed in the literature, the suggested approach does not split the rainfall occurrence and intensity processes and resorts to a unique discrete–continuous distribution to reproduce the local properties of rainfall. This choice allows the use of a unique meta-Gaussian spatio-temporal random field substrate that is devised to reproduce the spatial properties and the short term temporal characteristics of the observed precipitation. The model is calibrated and tested on a 25 km gridded daily rainfall data set covering the 817000km2 of the Danube basin. Standard and ad hoc diagnostics highlight the overall good performance over the whole range of rainfall values at multiple scales of spatio-temporal aggregation with particular attention to extreme values. Moreover, the modular structure of the model allows for refinements, adaptation to different areas and the introduction of exogenous forcing variables, thus making it a valuable tool for classical hydrologic analyses as well as for new challenges of network and reinsurance risk assessment over extensive areas." @default.
• W2080453776 created "2016-06-24" @default.
• W2080453776 creator A5017485204 @default.
• W2080453776 creator A5038861167 @default.
• W2080453776 date "2014-05-01" @default.
• W2080453776 modified "2023-09-25" @default.
• W2080453776 title "Simulating daily rainfall fields over large areas for collective risk estimation" @default.
• W2080453776 cites W101929070 @default.
• W2080453776 cites W1507444366 @default.
• W2080453776 cites W1546769383 @default.
• W2080453776 cites W1593873489 @default.
• W2080453776 cites W1610130559 @default.
• W2080453776 cites W1661860198 @default.
• W2080453776 cites W1852465236 @default.
• W2080453776 cites W1862346859 @default.
• W2080453776 cites W1907055040 @default.
• W2080453776 cites W1926756742 @default.
• W2080453776 cites W1969024250 @default.
• W2080453776 cites W1970156874 @default.
• W2080453776 cites W1970860420 @default.
• W2080453776 cites W1982947665 @default.
• W2080453776 cites W1988179083 @default.
• W2080453776 cites W1989345832 @default.
• W2080453776 cites W1990451443 @default.
• W2080453776 cites W1992110068 @default.
• W2080453776 cites W1995903631 @default.
• W2080453776 cites W1999389841 @default.
• W2080453776 cites W2002596522 @default.
• W2080453776 cites W2002790379 @default.
• W2080453776 cites W2005610813 @default.
• W2080453776 cites W2008308809 @default.
• W2080453776 cites W2011452108 @default.
• W2080453776 cites W2011819136 @default.
• W2080453776 cites W2012218528 @default.
• W2080453776 cites W2012859145 @default.
• W2080453776 cites W2014125835 @default.
• W2080453776 cites W2017977879 @default.
• W2080453776 cites W2027115788 @default.
• W2080453776 cites W2037418290 @default.
• W2080453776 cites W2039182842 @default.
• W2080453776 cites W2045790273 @default.
• W2080453776 cites W2047730149 @default.
• W2080453776 cites W2054921694 @default.
• W2080453776 cites W2062643230 @default.
• W2080453776 cites W2066397388 @default.
• W2080453776 cites W2068013446 @default.
• W2080453776 cites W2069241928 @default.
• W2080453776 cites W2070528519 @default.
• W2080453776 cites W2072198250 @default.
• W2080453776 cites W2072386594 @default.
• W2080453776 cites W2075618799 @default.
• W2080453776 cites W2084836553 @default.
• W2080453776 cites W2087449436 @default.
• W2080453776 cites W2093616443 @default.
• W2080453776 cites W2096945217 @default.
• W2080453776 cites W2103660127 @default.
• W2080453776 cites W2109665361 @default.
• W2080453776 cites W2109725031 @default.
• W2080453776 cites W2113485151 @default.
• W2080453776 cites W2118878847 @default.
• W2080453776 cites W2119772564 @default.
• W2080453776 cites W2120162412 @default.
• W2080453776 cites W2124452336 @default.
• W2080453776 cites W2130138984 @default.
• W2080453776 cites W2132789303 @default.
• W2080453776 cites W2135391238 @default.
• W2080453776 cites W2142635246 @default.
• W2080453776 cites W2144405655 @default.
• W2080453776 cites W2145689771 @default.
• W2080453776 cites W2147413309 @default.
• W2080453776 cites W2154758947 @default.
• W2080453776 cites W2156224118 @default.
• W2080453776 cites W2161042290 @default.
• W2080453776 cites W2168175751 @default.
• W2080453776 cites W2170207977 @default.
• W2080453776 cites W2170816806 @default.
• W2080453776 cites W2171920404 @default.
• W2080453776 cites W2172191993 @default.
• W2080453776 cites W2178204131 @default.
• W2080453776 cites W2318460002 @default.
• W2080453776 cites W2801062751 @default.
• W2080453776 cites W4241601232 @default.
• W2080453776 doi "https://doi.org/10.1016/j.jhydrol.2014.02.043" @default.
• W2080453776 hasPublicationYear "2014" @default.
• W2080453776 type Work @default.
• W2080453776 sameAs 2080453776 @default.
• W2080453776 citedByCount "53" @default.
• W2080453776 countsByYear W20804537762014 @default.
• W2080453776 countsByYear W20804537762015 @default.
• W2080453776 countsByYear W20804537762016 @default.
• W2080453776 countsByYear W20804537762017 @default.
• W2080453776 countsByYear W20804537762018 @default.
• W2080453776 countsByYear W20804537762019 @default.
• W2080453776 countsByYear W20804537762020 @default.
• W2080453776 countsByYear W20804537762021 @default.
• W2080453776 countsByYear W20804537762022 @default.
• W2080453776 countsByYear W20804537762023 @default.
• W2080453776 crossrefType "journal-article" @default.

• next