Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change
Authors
Keywords
Regional Climate Model, Climate Change Impact, Bias Correction, Irrigation Water Requirement, Bias Correction Method
Journal
CLIMATIC CHANGE
Volume 127, Issue 3-4, Pages 521-534
Publisher
Springer Nature
Online
2014-11-14
DOI
10.1007/s10584-014-1263-4
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multi-variable error correction of regional climate models
- (2013) Renate Anna Irma Wilcke et al. CLIMATIC CHANGE
- Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue
- (2013) Douglas Maraun JOURNAL OF CLIMATE
- EURO-CORDEX: new high-resolution climate change projections for European impact research
- (2013) Daniela Jacob et al. Regional Environmental Change
- Bias correction of the ENSEMBLES high resolution climate change projections for use by impact models: Analysis of the climate change signal
- (2012) A. Dosio et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Projections of future water resources and their uncertainty in a glacierized catchment in the Swiss Alps and the subsequent effects on hydropower production during the 21st century
- (2012) David Finger et al. WATER RESOURCES RESEARCH
- A Simple Scheme for Modeling Irrigation Water Requirements at the Regional Scale Applied to an Alpine River Catchment
- (2012) Pascalle Smith et al. Water
- An Overview of CMIP5 and the Experiment Design
- (2011) Karl E. Taylor et al. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
- Empirical-statistical downscaling and error correction of regional climate models and its impact on the climate change signal
- (2011) Matthias Jakob Themeßl et al. CLIMATIC CHANGE
- Impacts of climatic change on water and natural hazards in the Alps: Can current water governance cope with future challenges? Examples from the European “ACQWA” project
- (2011) Martin Beniston et al. ENVIRONMENTAL SCIENCE & POLICY
- The future of dry and wet spells in Europe: a comprehensive study based on the ENSEMBLES regional climate models
- (2011) Georg Heinrich et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Analysis of uncertainty in large scale climate change projections over Europe
- (2011) Andreas Franz Prein et al. METEOROLOGISCHE ZEITSCHRIFT
- Error characteristics of high resolution regional climate models over the Alpine area
- (2010) Martin Suklitsch et al. CLIMATE DYNAMICS
- Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies
- (2010) Wei Yang et al. HYDROLOGY RESEARCH
- Empirical-statistical downscaling and error correction of daily precipitation from regional climate models
- (2010) Matthias Jakob Themeßl et al. INTERNATIONAL JOURNAL OF CLIMATOLOGY
- Improved confidence in climate change projections of precipitation further evaluated using daily statistics from ENSEMBLES models
- (2009) Fredrik Boberg et al. CLIMATE DYNAMICS
- Strategies to adapt to an uncertain climate change
- (2009) Stéphane Hallegatte GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
- Statistical bias correction for daily precipitation in regional climate models over Europe
- (2009) C. Piani et al. THEORETICAL AND APPLIED CLIMATOLOGY
- High Resolution Sensitivity Studies with the Regional Climate Model CCLM in the Alpine Region
- (2008) Martin Suklitsch et al. METEOROLOGISCHE ZEITSCHRIFT
- Precipitation by a regional climate model and bias correction in Europe and South Asia
- (2008) Andreas Dobler et al. METEOROLOGISCHE ZEITSCHRIFT
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now