A comprehensive benchmarking system for evaluating global vegetation models

doi:10.5194/bg-10-3313-2013

	A comprehensive benchmarking system for evaluating global vegetation models
	Kelley, D. I.; Prentice, I. C.; Harrison, S. P.; Wang, H.; Simard, M.; Fisher, J. B.; Willis, K. O.
	2013
发表期刊	BIOGEOSCIENCES
ISSN	1726-4170
卷号	10 期号:5 页码:3313-3340
摘要	We present a benchmark system for global vegetation models. This system provides a quantitative evaluation of multiple simulated vegetation properties, including primary production; seasonal net ecosystem production; vegetation cover; composition and height; fire regime; and runoff. The benchmarks are derived from remotely sensed gridded datasets and site-based observations. The datasets allow comparisons of annual average conditions and seasonal and inter-annual variability, and they allow the impact of spatial and temporal biases in means and variability to be assessed separately. Specifically designed metrics quantify model performance for each process, and are compared to scores based on the temporal or spatial mean value of the observations and a random model produced by bootstrap resampling of the observations. The benchmark system is applied to three models: a simple light-use efficiency and waterbalance model (the Simple Diagnostic Biosphere Model: SDBM), the Lund-Potsdam-Jena (LPJ) and Land Processes and eXchanges (LPX) dynamic global vegetation models (DGVMs). In general, the SDBM performs better than either of the DGVMs. It reproduces independent measurements of net primary production (NPP) but underestimates the amplitude of the observed CO2 seasonal cycle. The two DGVMs show little difference for most benchmarks (including the inter-annual variability in the growth rate and seasonal cycle of atmospheric CO2), but LPX represents burnt fraction demonstrably more accurately. Benchmarking also identified several weaknesses common to both DGVMs. The benchmarking system provides a quantitative approach for evaluating how adequately processes are represented in a model, identifying errors and biases, tracking improvements in performance through model development, and discriminating among models. Adoption of such a system would do much to improve confidence in terrestrial model predictions of climate change impacts and feedbacks.
学科领域	Ecology ; Geosciences, Multidisciplinary
DOI	10.5194/bg-10-3313-2013
收录类别	SCI
语种	英语
WOS关键词	TERRESTRIAL CARBON-CYCLE ; FRESH-WATER DISCHARGE ; CLIMATE-CHANGE ; LAND-SURFACE ; PLANT GEOGRAPHY ; SEASONAL CYCLE ; FIRE EMISSIONS ; LARGE ENSEMBLE ; BURNED AREA ; CO2
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000319838200031
出版者	COPERNICUS GESELLSCHAFT MBH
文献子类	Article
出版地	GOTTINGEN
EISSN	1726-4189
资助机构	Macquarie University International Research Scholarship (iMQRES)
作者邮箱	Simard, Marc/H-3516-2013 ; Kelley, Douglas/Z-3090-2019
作品OA属性	Green Submitted, gold, Green Accepted
引用统计	被引频次：108[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28037
专题	植被与环境变化国家重点实验室
作者单位	1.[Kelley, D. I. 2.Prentice, I. C. 3.Harrison, S. P. 4.Wang, H. 5.Willis, K. O.] Macquarie Univ, Dept Biol Sci, N Ryde, NSW 2109, Australia 6.[Prentice, I. C.] Univ London Imperial Coll Sci Technol & Med, Grantham Inst Climate Change, Ascot SL5 7PY, Berks, England 7.[Prentice, I. C.] Univ London Imperial Coll Sci Technol & Med, Dept Life Sci, Ascot SL5 7PY, Berks, England 8.[Harrison, S. P.] Univ Reading, Sch Human & Environm Sci, Reading RG6 6AB, Berks, England 9.[Wang, H.] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 10.[Simard, M. 11.Fisher, J. B.] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
推荐引用方式 GB/T 7714	Kelley, D. I.,Prentice, I. C.,Harrison, S. P.,et al. A comprehensive benchmarking system for evaluating global vegetation models[J]. BIOGEOSCIENCES,2013,10(5):3313-3340.
APA	Kelley, D. I..,Prentice, I. C..,Harrison, S. P..,Wang, H..,Simard, M..,...&Willis, K. O..(2013).A comprehensive benchmarking system for evaluating global vegetation models.BIOGEOSCIENCES,10(5),3313-3340.
MLA	Kelley, D. I.,et al."A comprehensive benchmarking system for evaluating global vegetation models".BIOGEOSCIENCES 10.5(2013):3313-3340.

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