Hazeleger, W., van den Hurk, B.J.J.M., Min, E., van Oldenborgh, G.J., Petersen, A.C., Stainforth, David A. 
ORCID: 0000-0001-6476-733X, Vasileiadou, E. and Smith, L. A.
(2015)
Tales of future weather.
Nature Climate Change, 5 (2).
pp. 107-113.
ISSN 1758-678X
|
PDF
- Accepted Version
Download (530kB) | Preview |
Abstract
Society is vulnerable to extreme weather events and, by extension, to human impacts on future events. As climate changes weather patterns will change. The search is on for more effective methodologies to aid decision-makers both in mitigation to avoid climate change and in adaptation to changes. The traditional approach uses ensembles of climate model simulations, statistical bias correction, downscaling to the spatial and temporal scales relevant to decision-makers, and then translation into quantities of interest. The veracity of this approach cannot be tested, and it faces in-principle challenges. Alternatively, numerical weather prediction models in a hypothetical climate setting can provide tailored narratives for high-resolution simulations of high-impact weather in a future climate. This 'tales of future weather' approach will aid in the interpretation of lower-resolution simulations. Arguably, it potentially provides complementary, more realistic and more physically consistent pictures of what future weather might look like.
| Item Type: | Article |
|---|---|
| Official URL: | http://www.nature.com/nclimate/index.html |
| Additional Information: | © 2015 Rights Managed by Nature Publishing Group |
| Divisions: | Statistics Centre for Analysis of Time Series Grantham Research Institute |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences |
| Date Deposited: | 11 Mar 2015 14:52 |
| Last Modified: | 20 Nov 2024 22:36 |
| Projects: | NWO 830.10.008, EP/K013661/1 |
| Funders: | Knowledge for Climate Theme 6 project, NWO/KvK project Bridging the Gap between stakeholders, LSE’s Grantham Research Institute on Climate Change and the Environment, ESRC, Munich Re, UK EPSRC |
| URI: | http://eprints.lse.ac.uk/id/eprint/61171 |
Actions (login required)
 |
View Item |
Download Statistics
Download Statistics