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

???ViewItemPage???


???ENUM_STATE_RELEASED???

???ENUM_GENRE_ARTICLE???

An update of the article 'Modelling flood damages under climate change conditions - a case study for Germany' [Brief Communication]

???ViewItemOverview_lblSpecificAuthorsSection???
/persons/resource/Fred.Hattermann

Hattermann,  Fred Fokko       
Potsdam Institute for Climate Impact Research;

/persons/resource/shaochun.huang

Huang,  Shaochun
Potsdam Institute for Climate Impact Research;

Burghoff,  Olaf
External Organizations;

/persons/resource/peterh

Hoffmann,  Peter       
Potsdam Institute for Climate Impact Research;

/persons/resource/zbyszek

Kundzewicz,  Zbigniew W.
Potsdam Institute for Climate Impact Research;

???ViewItemOverview_lblExternalResourceSection???
???ViewItemOverview_noExternalResourcesAvailable???
???ViewItemOverview_lblRestrictedFulltextSection???
???ViewItemOverview_noRestrictedFullTextsAvailable???
???ViewItemOverview_lblFulltextSection???

7225oa.pdf
(???ENUM_CONTENTCATEGORY_publisher-version???), 263???ViewItemMedium_lblFileSizeKB???

???ViewItemOverview_lblSupplementaryMaterialSection???
???ViewItemOverview_noSupplementaryMaterialAvailable???
???ViewItemOverview_lblCitationSection???

Hattermann, F. F., Huang, S., Burghoff, O., Hoffmann, P., Kundzewicz, Z. W. (2016): An update of the article 'Modelling flood damages under climate change conditions - a case study for Germany' [Brief Communication]. - Natural Hazards and Earth System Sciences, 16, 7, 1617-1622.
https://doi.org/10.5194/nhess-16-1617-2016


???ViewItemOverview_lblCiteAs???: https://publications.pik-potsdam.de/pubman/item/item_20966
???ViewItemOverview_lblAbstractSection???
In our first study on possible flood damages under climate change in Germany, we reported that a considerable increase in flood-related losses can be expected in a future warmer climate. However, the general significance of the study was limited by the fact that outcome of only one global climate model (GCM) was used as a large-scale climate driver, while many studies report that GCMs are often the largest source of uncertainty in impact modelling. Here we show that a much broader set of global and regional climate model combinations as climate drivers show trends which are in line with the original results and even give a stronger increase of damages.