气候变化领域集成服务门户(CCPortal): Glacio-hydrological melt and run-off modelling: Application of a limits of acceptability framework for model comparison and selection

CCPortal

DOI	10.5194/tc-12-2175-2018
	Glacio-hydrological melt and run-off modelling: Application of a limits of acceptability framework for model comparison and selection
	MacKay J.D.; Barrand N.E.; Hannah D.M.; Krause S.; Jackson C.R.; Everest J.; Aoalgeirsdóttir G.
发表日期	2018
ISSN	19940416
卷号	12 期号:7
英文摘要	Glacio-hydrological models (GHMs) allow us to develop an understanding of how future climate change will affect river flow regimes in glaciated watersheds. A variety of simplified GHM structures and parameterisations exist, yet the performance of these are rarely quantified at the process level or with metrics beyond global summary statistics. A fuller understanding of the deficiencies in competing model structures and parameterisations and the ability of models to simulate physical processes require performance metrics utilising the full range of uncertainty information within input observations. Here, the glacio-hydrological characteristics of the Virkisá River basin in southern Iceland are characterised using 33 signatures derived from observations of ice melt, snow coverage and river discharge. The uncertainty of each set of observations is harnessed to define the limits of acceptability (LOA), a set of criteria used to objectively evaluate the acceptability of different GHM structures and parameterisations. This framework is used to compare and diagnose deficiencies in three melt and three run-off-routing model structures. Increased model complexity is shown to improve acceptability when evaluated against specific signatures but does not always result in better consistency across all signatures, emphasising the difficulty in appropriate model selection and the need for multi-model prediction approaches to account for model selection uncertainty. Melt and run-off-routing structures demonstrate a hierarchy of influence on river discharge signatures with melt model structure having the most influence on discharge hydrograph seasonality and run-off-routing structure on shorter-timescale discharge events. None of the tested GHM structural configurations returned acceptable simulations across the full population of signatures. The framework outlined here provides a comprehensive and rigorous assessment tool for evaluating the acceptability of different GHM process hypotheses. Future melt and run-off model forecasts should seek to diagnose structural model deficiencies and evaluate diagnostic signatures of system behaviour using a LOA framework. © 2018 Author(s).
学科领域	climate change; comparative study; complexity; hydrograph; hydrological modeling; melting; parameterization; river discharge; river flow; runoff; seasonality; snowmelt; watershed; Iceland
语种	英语
scopus关键词	climate change; comparative study; complexity; hydrograph; hydrological modeling; melting; parameterization; river discharge; river flow; runoff; seasonality; snowmelt; watershed; Iceland
来源期刊	Cryosphere
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/119110
作者单位	School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B152TT, United Kingdom; British Geological Survey, Environmental Science Centre, Keyworth, Nottingham, NG125GG, United Kingdom; British Geological Survey, Lyell Centre, Research Avenue South, Edinburgh, EH144AS, United Kingdom; Institute of Earth Sciences, University of Iceland, Reykjavík, 101, Iceland
推荐引用方式 GB/T 7714	MacKay J.D.,Barrand N.E.,Hannah D.M.,et al. Glacio-hydrological melt and run-off modelling: Application of a limits of acceptability framework for model comparison and selection[J],2018,12(7).
APA	MacKay J.D..,Barrand N.E..,Hannah D.M..,Krause S..,Jackson C.R..,...&Aoalgeirsdóttir G..(2018).Glacio-hydrological melt and run-off modelling: Application of a limits of acceptability framework for model comparison and selection.Cryosphere,12(7).
MLA	MacKay J.D.,et al."Glacio-hydrological melt and run-off modelling: Application of a limits of acceptability framework for model comparison and selection".Cryosphere 12.7(2018).