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DOI10.1002/joc.5820
Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems
Liu, De Li; Wang, Bin; Evans, Jason; Ji, Fei; Waters, Cathy; Macadam, Ian; Yang, Xihua; Beyer, Kathleen
发表日期2019
ISSN0899-8418
EISSN1097-0088
卷号39期号:1页码:424-444
英文摘要Regional climate model (RCM) simulations are being increasingly used for climate change impact assessments, but their application is challenging due to considerable biases inherited from global climate model (GCM) simulations and generated from dynamical
关键词APSIMbias correctionbias propagationbio-physical crop modelNARCliMrainfall intensityrainfall probabilityRCMswheat cropping system
学科领域Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000459638400032
来源期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/79522
作者单位Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia
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GB/T 7714
Liu, De Li,Wang, Bin,Evans, Jason,et al. Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems[J],2019,39(1):424-444.
APA Liu, De Li.,Wang, Bin.,Evans, Jason.,Ji, Fei.,Waters, Cathy.,...&Beyer, Kathleen.(2019).Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(1),424-444.
MLA Liu, De Li,et al."Propagation of climate model biases to biophysical modelling can complicate assessments of climate change impact in agricultural systems".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.1(2019):424-444.
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