A transient stochastic weather generator incorporating climate model uncertainty
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 215128-88259-1293
- Type
- D - Journal article
- DOI
-
10.1016/j.advwatres.2015.08.002
- Title of journal
- Advances in Water Resources
- Article number
- -
- First page
- 14
- Volume
- 85
- Issue
- -
- ISSN
- 0309-1708
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2015
- URL
-
https://doi.org/10.1016/j.advwatres.2015.08.002
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper describes a transient probabilistic climate scenario methodology, using the national climate projections UKCP09 and a weather generator developed at Newcastle University. The methodology was used to generate transient weather variables for long periods (100 years), instead of stationary time series (30 years), to develop a risk-based framework for water resources planning (doi.org/10.1002/2014WR015558) and water supply systems (doi.org/10.1002/2015WR018164) under the NERC project MaRIUS (NE/L010364/1) led by Oxford University.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
