Uncertainty in climate change impacts on water resources

Kundzewicz, Zbigniew W.; Krysanova, Valentina; Benestad, R. E.; Hov, O.; Piniewski, Mikolaj; Otto, Ilona M.

doi:10.1016/j.envsci.2017.10.008

アイテム詳細

登録内容を編集ファイル形式で保存

一時保存へ追加

タグ情報を表示リリース履歴を表示詳細要約

公開

学術論文

Uncertainty in climate change impacts on water resources

Authors

/persons/resource/zbyszek

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

/persons/resource/Valentina.Krysanova

Krysanova, Valentina
Potsdam Institute for Climate Impact Research;

Benestad, R. E.
External Organizations;

Hov, O.
External Organizations;

/persons/resource/Piniewski.Mikolaj

Piniewski, Mikolaj
Potsdam Institute for Climate Impact Research;

/persons/resource/Ilona.Otto

Otto, Ilona M.
Potsdam Institute for Climate Impact Research;

URL

There are no locators available

フルテキスト (公開)

There are no public fulltexts stored in PIKpublic

付随資料 (公開)

There is no public supplementary material available

引用

Kundzewicz, Z. W., Krysanova, V., Benestad, R. E., Hov, O., Piniewski, M., & Otto, I. M. (2018). Uncertainty in climate change impacts on water resources. Environmental Science and Policy, 79, 1-8. doi:10.1016/j.envsci.2017.10.008.

引用: https://publications.pik-potsdam.de/pubman/item/item_22156

要旨

The uncertainty concepts play a prominent role in global environmental change research, including climate change science and climate change impact science, with hydrology and water resources research in particular. One is uncertain, to varying degrees, about virtually everything in the future as well as about much of the past and the present state. The present paper reviews applications of the uncertainty notion to results of change detection, process understanding and modeling of systems, and – foremost – projections of future climate change impacts on water resources. We present a framework of assessing and reducing uncertainty and propose measures that could improve uncertainty communication, e.g. relying on ensembles and multi-model probabilistic approaches rather than projecting ranges of values. We distinguish two possible management strategies if uncertainty is irreducible – the precautionary principle and the adaptive management.