English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
  Projections of runoff in the Vistula and the Odra river basins with the help of the SWAT model

Piniewski, M., Szczesniak, M., Huang, S., Kundzewicz, Z. W. (2018): Projections of runoff in the Vistula and the Odra river basins with the help of the SWAT model. - Hydrology Research, 49, 2, 303-317.
https://doi.org/10.2166/nh.2017.280

Item is

Files

show Files
hide Files
:
21671.pdf (Publisher version), 931KB
 
File Permalink:
-
Name:
21671.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Piniewski, Mikolaj1, Author              
Szczesniak, M.2, Author
Huang, S.2, Author
Kundzewicz, Zbigniew W.1, Author              
Affiliations:
1Potsdam Institute for Climate Impact Research, ou_persistent13              
2External Organizations, ou_persistent22              

Content

show
hide
Free keywords: -
 Abstract: The objective of this paper is to assess climate change impacts on spatiotemporal changes in annual and seasonal runoff and its components in the basins of two large European rivers, the Vistula and the Odra, for future horizons. This study makes use of the Soil and Water Assessment Tool (SWAT) model, set up at high resolution, and driven by a multi-model ensemble (MME) of nine bias-corrected EURO-CORDEX simulations under two representative concentration pathways (RCPs), 4.5 and 8.5. This paper presents a wealth of illustrative material referring to the annual and seasonal runoff (R) in the reference period as well as projections for the future (MME mean change), with explicit illustration of the multi-model spread based on the agreement between models and statistical significance of change according to each model. Annual R increases are dominating, regardless of RCP and future horizon. The magnitude of the MME mean of spatially averaged increase varies between 15.8% (RCP 4.5, near future) and 41.6% (RCP 8.5, far future). The seasonal patterns show the highest increase in winter and the lowest in spring, whereas the spatial patterns show the highest increase in the inner, lowland part, and the lowest in the southern mountainous part of the basin.

Details

show
hide
Language(s):
 Dates: 2018
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.2166/nh.2017.280
PIKDOMAIN: Climate Impacts & Vulnerabilities - Research Domain II
eDoc: 7621
Research topic keyword: Freshwater
Research topic keyword: Climate impacts
Organisational keyword: RD2 - Climate Resilience
Working Group: Hydroclimatic Risks
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Hydrology Research
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 49 (2) Sequence Number: - Start / End Page: 303 - 317 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals209