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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003823naa a2200361 4500
001oai:gup.ub.gu.se/209048
003SwePub
008240528s2015 | |||||||||||000 ||eng|
024a https://gup.ub.gu.se/publication/2090482 URI
024a https://doi.org/10.1111/geoa.120842 DOI
040 a (SwePub)gu
041 a eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
100a Chen, Deliang,d 1961u Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences4 aut0 (Swepub:gu)xchede
2451 0a Projecting future local precipitation and its extremes for Sweden
264 c 2016-11-15
264 1b Informa UK Limited,c 2015
520 a A procedure to obtain future local precipitation characteristics focused on extreme conditions has been developed based on a weather generator. The method involves six major steps: (1) the weather generator was calibrated using observed daily precipitation at 220 Swedish stations during 1961–2004; (2) present and future daily precipitation characteristics for the Swedish stations from two global climate models, namely ECHAM5 and HadCM3, were used to calculate weather generator parameters for the present and future climates at global climate model spatial scales; (3) the ratio of the weather generator parameters for the present climate simulated by the global climate models to those calculated for each station falling into the global climate model grid box were computed for all the stations; (4) these ratios were also assumed to be valid in the future climate, that way the future parameters for each station for the global climate model projected future climate could be calculated; (5) using the estimated future parameters of the weather generator, the future daily precipitation at each station could be simulated by the weather generator; (6) the simulated daily precipitation was used to compute eight indices describing mean and extreme precipitation climates. The future mean and extreme precipitation characteristics at the stations under the Second Report on Emission Scenarios A2 scenario were obtained and presented. An overall increasing trend for frequency and intensity of the indices are identified for the majority of the stations studied. The developed downscaling methodology is relatively simple but useful in deriving local precipitation changes, including changes in the precipitation extremes.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskap0 (SwePub)1052 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciences0 (SwePub)1052 hsv//eng
653 a weather generator;statistical downscaling;daily precipitation;climate change scenarios;Sweden
700a Achberger, Christine,d 1968u Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences4 aut0 (Swepub:gu)xachch
700a Ou, Tinghaiu Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences4 aut0 (Swepub:gu)xoutic
700a Postgård, Ulrika4 aut
700a Walther, Alexander,d 1976u Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences4 aut0 (Swepub:gu)xwalta
700a Liao, Yaomingu Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences4 aut
710a Göteborgs universitetb Institutionen för geovetenskaper4 org
773t Geografiska Annalerd : Informa UK Limitedg 97:1, s. 25-39q 97:1<25-39x 0435-3676x 1468-0459
856u http://rcg.gvc.gu.se/oth/PDFs/Chen_etal2014.pdf
8564 8u https://gup.ub.gu.se/publication/209048
8564 8u https://doi.org/10.1111/geoa.12084

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