中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-wheat-model ensemble responses to interannual climate variability

文献类型:SCI/SSCI论文

作者Ruane A. C.; Hudson, N. I.; Asseng, S.; Camarrano, D.; Ewert, F.; Martre, P.; Boote, K. J.; Thorburn, P. J.; Aggarwal, P. K.; Angulo, C.
发表日期2016
关键词Crop modeling Uncertainty Multi-model ensemble Wheat AgMIP Climate impacts Temperature Precipitation lnterannual variability simulation-model crop model nitrogen dynamics winter-wheat large-area systems simulation farming systems yield response growth water
英文摘要We compare 27 wheat models' yield responses to interannual climate variability, analyzed at locations in Argentina, Australia, India, and The Netherlands as part of the Agricultural Model Intercomparison and Improvement Project (AgMIP) Wheat Pilot. Each model simulated 1981-2010 grain yield, and we evaluate results against the interannual variability of growing season temperature, precipitation, and solar radiation. The amount of information used for calibration has only a minor effect on most models' climate response, and even small multi-model ensembles prove beneficial. Wheat model clusters reveal common characteristics of yield response to climate; however models rarely share the same cluster at all four sites indicating substantial independence. Only a weak relationship (R-2 <= 0.24) was found between the models' sensitivities to interannual temperature variability and their response to long-term warming, suggesting that additional processes differentiate climate change impacts from observed climate variability analogs and motivating continuing analysis and model development efforts. Published by Elsevier Ltd.
出处Environmental Modelling & Software
81
86-101
语种英语
ISSN号1364-8152
DOI标识10.1016/j.envsoft.2016.03.008
源URL[http://ir.igsnrr.ac.cn/handle/311030/43183]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Ruane A. C.,Hudson, N. I.,Asseng, S.,et al. Multi-wheat-model ensemble responses to interannual climate variability. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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