???ENUM_LANGUAGE_JA???
 
???mainMenu_lnkPrivacyPolicy??? ???mainMenu_lnkPolicy???

???ViewItemPage???

???ViewItemFull_lblItemActions??????List_lblExportOptions???
???ViewItemFull_lblAddToBasket???
 ???ViewItemFull_lblSubHeaderLocalTags??????ViewItemFull_btnItemVersions??????ViewItemFull_btnItemView??????ViewItemOverview_lblLinkOverviewPage???
  Multimodel assessment of flood characteristics in four large river basins at global warming of 1.5, 2.0 and 3.0 K above the pre-industrial level

Huang, S., Kumar, R., Rakovec, O., Aich, V., Wang, X., Samaniego, L., Liersch, S., Krysanova, V. (2018): Multimodel assessment of flood characteristics in four large river basins at global warming of 1.5, 2.0 and 3.0 K above the pre-industrial level. - Environmental Research Letters, 13, 12, 124005.
https://doi.org/10.1088/1748-9326/aae94b

Item is

 

???ViewItemFull_lblShowGroup??? ???ViewItemFull_lblAll??? ???ViewItemFull_lblHideGroup??? ???ViewItemFull_lblAll???

???ViewItemFull_lblBasic???

???ViewItemFull_lblShowGroup??? ???ViewItemFull_lblHideGroup???
???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_22892 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_22892_4
???ViewItemFull_lblGenre???: ???ENUM_GENRE_ARTICLE???

???ViewItemMedium_lblSubHeaderFile???

???ViewItemFull_lblShowGroup??? ???ViewItemMedium_lblSubHeaderFile???
???ViewItemFull_lblHideGroup??? ???ViewItemMedium_lblSubHeaderFile???
:
8346oa.pdf (???ENUM_CONTENTCATEGORY_publisher-version???), 838???ViewItemMedium_lblFileSizeKB???
???ViewItemFull_lblViewFulltext???   ???save???
???ViewItemFull_lblCiteFileAs???:
https://publications.pik-potsdam.de/pubman/item/item_22892_1/component/file_22893/8346oa.pdf
???ViewItemMedium_lblFileName???:
8346oa.pdf
???ViewItemMedium_lblFileDescription???:
???lbl_noEntry???
???ViewItemMedium_lblFileOaSatus???:
???ViewItemMedium_lblFileVisibility???:
???ENUM_VISIBILITY_PUBLIC???
???ViewItemFull_lblFileMimeTypeSize???:
application/pdf / [MD5]
???ViewItemFull_lblTechnicalMetadata???:
???ViewItemFull_lblViewFulltext???
???ViewItem_lblCopyrightDate???:
???lbl_noEntry???
???ViewItem_lblCopyrightInfo???:
???lbl_noEntry???
???ViewItemFull_lblFileLicense???:
???lbl_noEntry???

???ViewItemFull_lblSubHeaderLocators???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblCreators???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
 ???ViewItemFull_lblCreators???:
Huang, Shaochun1, ???ENUM_CREATORROLE_AUTHOR???           
Kumar, R.2, ???ENUM_CREATORROLE_AUTHOR???
Rakovec, O.2, ???ENUM_CREATORROLE_AUTHOR???
Aich, Valentin1, ???ENUM_CREATORROLE_AUTHOR???           
Wang, X.2, ???ENUM_CREATORROLE_AUTHOR???
Samaniego, L.2, ???ENUM_CREATORROLE_AUTHOR???
Liersch, Stefan1, ???ENUM_CREATORROLE_AUTHOR???                 
Krysanova, Valentina1, ???ENUM_CREATORROLE_AUTHOR???           
???ViewItemFull_lblAffiliations???:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

???EditItem_lblContent???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblSubject???: ???lbl_noEntry???
 ???ViewItemFull_lblAbstract???:

This study assesses the flood characteristics (timing, magnitude and frequency) in the pre-industrial and historical periods, and analyzes climate change impacts on floods at the warming levels of 1.5, 2.0 and 3.0 K above the pre-industrial level in four large river basins as required by the Paris agreement. Three well-established hydrological models (HMs) were forced with bias-corrected outputs from four global climate models (GCMs) for the pre-industrial, historical and future periods until 2100. The long pre-industrial and historical periods were subdivided into multiple 31-year subperiods to investigate the natural variability. The mean flood characteristics in the pre-industrial period were derived from the large ensemble based on all GCMs, HMs and 31-year subperiods, and compared to the ensemble means in the historical and future periods. In general, the variance of simulated flood characteristics is quite large in the pre-industrial and historical periods. Mostly GCMs and HMs contribute to the variance, especially for flood timing and magnitude, while the selection of 31-year subperiods is an important source of variance for flood frequency. The comparison between the ensemble means shows that there are already some changes in flood characteristics between the pre-industrial and historical periods. There is a clear shift towards earlier flooding for the Rhine (1.5 K scenario) and Upper Mississippi (3.0 K scenario). The flood magnitudes show a substantial increase in the Rhine and Upper Yellow only under the 3.0 K scenario. The floods are projected to occur more frequently in the Rhine under the 1.5 and 2.0 K scenarios, and less frequently in the Upper Mississippi under all scenarios.

???ViewItemFull_lblSubHeaderDetails???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblLanguages???:
 ???ViewItemFull_lblDates???: 2018
 ???ViewItemFull_lblPublicationStatus???: ???ViewItem_lblPublicationState_published-in-print???
 ???ViewItemFull_lblPages???: ???lbl_noEntry???
 ???ViewItemFull_lblPublishingInfo???: ???lbl_noEntry???
 ???ViewItemFull_lblTOC???: ???lbl_noEntry???
 ???ViewItemFull_lblRevisionMethod???: ???lbl_noEntry???
 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1088/1748-9326/aae94b
???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: Climate Impacts & Vulnerabilities - Research Domain II
???ENUM_IDENTIFIERTYPE_EDOC???: 8346
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Extremes
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Climate impacts
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: SWIM
???ENUM_IDENTIFIERTYPE_REGIONALK???: Europe
???ENUM_IDENTIFIERTYPE_REGIONALK???: Africa
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD2 - Climate Resilience
???ENUM_IDENTIFIERTYPE_WORKINGGROUP???: Hydroclimatic Risks
 ???ViewItemFull_lblDegreeType???: ???lbl_noEntry???

???ViewItemFull_lblSubHeaderEvent???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblSubHeaderLegalCase???

???ViewItemFull_lblShowGroup???

???g_project_info???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblSubHeaderSource??? 1

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblSourceTitle???: Environmental Research Letters
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, p3, oa
 ???ViewItemFull_lblSourceCreators???:
???ViewItemFull_lblSourceAffiliations???:
???ViewItemFull_lblSourcePubInfo???: ???lbl_noEntry???
???ViewItemFull_lblPages???: ???lbl_noEntry??? ???ViewItemFull_lblSourceVolumeIssue???: 13 (12) ???ViewItemFull_lblSourceSequenceNo???: 124005 ???ViewItemFull_lblSourceStartEndPage???: ???lbl_noEntry??? ???ViewItemFull_lblSourceIdentifier???: ???ENUM_IDENTIFIERTYPE_CONE???: https://publications.pik-potsdam.de/cone/journals/resource/150326