A - Papers appearing in refereed journals
Ma, D., Jing, Q., Xu, Y.-P., Cannon, A. J., Dong, T., Semenov, M. A. and Qian, B. 2021. Using ensemble-mean climate scenarios for future crop yield projections: a stochastic weather generator . Climate Research. 83, pp. 161-171. https://doi.org/10.3354/cr01646
Authors | Ma, D., Jing, Q., Xu, Y.-P., Cannon, A. J., Dong, T., Semenov, M. A. and Qian, B. |
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Abstract | Using climate scenarios from only 1 or a small number of global climate models (GCMs) in climate change impact studies may lead to biased assessment due to large uncertainty |
Keywords | Global climate models; LARS-WG; DSSAT; Wheat; Canola; Simulation |
Year of Publication | 2021 |
Journal | Climate Research |
Journal citation | 83, pp. 161-171 |
Digital Object Identifier (DOI) | https://doi.org/10.3354/cr01646 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | Designing Future Wheat - WP1 - Increased efficiency and sustainability |
Publisher's version | |
Output status | Published |
Publication dates | |
Online | 06 May 2021 |
Publisher | Inter-Research |
ISSN | 0936-577X |
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