气候变化领域集成服务门户(CCPortal): Improving continental hydrological models for future climate conditions via multi-objective optimisation

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DOI	10.1016/j.envsoft.2024.106018
	Improving continental hydrological models for future climate conditions via multi-objective optimisation
	Sharples, Wendy; Bende-Michl, Ulrike; Wilson, Louise; Shokri, Ashkan; Frost, Andrew; Baron-Hay, Stuart
发表日期	2024
ISSN	1364-8152
EISSN	1873-6726
起始页码	176
卷号	176
英文摘要	Australian hydrological characteristics vary across the continent, encompassing diverse climate zones with wet and dry extremes. Moreover, Australia's hydro -climate is projected to change in response to rising greenhouse gas emissions, where change is now evident from observations. Adaptation to these projected -to -be more intense impacts, requires nationally consistent hydro -climate projections along with an historical context. Calibrating a continental hydrological model against multiple objectives and varying hydroclimate conditions will enable a robust model configuration, thereby improving confidence in projections. We propose using a multi -objective optimisation approach to tune a continental model to represent stores and fluxes across the water cycle, current regional hydroclimes and possible future climate changes. By devising a set of experiments or scenarios which represent plausible projected futures and regional hydrological characteristics, trade-offs between different scenarios are assessed. We show that whilst no one parameter set fits allscenarios, this approach can provide a model configuration which fits most.
英文关键词	Continental hydrology; Hydrological model tuning; Climate change; Multi-objective optimisation
语种	英语
WOS研究方向	Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources
WOS类目	Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources
WOS记录号	WOS:001223608500001
来源期刊	ENVIRONMENTAL MODELLING & SOFTWARE
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/292952
作者单位	Met Office - UK; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
推荐引用方式 GB/T 7714	Sharples, Wendy,Bende-Michl, Ulrike,Wilson, Louise,et al. Improving continental hydrological models for future climate conditions via multi-objective optimisation[J],2024,176.
APA	Sharples, Wendy,Bende-Michl, Ulrike,Wilson, Louise,Shokri, Ashkan,Frost, Andrew,&Baron-Hay, Stuart.(2024).Improving continental hydrological models for future climate conditions via multi-objective optimisation.ENVIRONMENTAL MODELLING & SOFTWARE,176.
MLA	Sharples, Wendy,et al."Improving continental hydrological models for future climate conditions via multi-objective optimisation".ENVIRONMENTAL MODELLING & SOFTWARE 176(2024).