A framework for benchmarking land models

doi:10.5194/bg-9-3857-2012

CORC > 北京大学 > 城市与环境学院

	A framework for benchmarking land models
	Luo, Y. Q. ; Randerson, J. T. ; Abramowitz, G. ; Bacour, C. ; Blyth, E. ; Carvalhais, N. ; Ciais, P. ; Dalmonech, D. ; Fisher, J. B. ; Fisher, R. ; Friedlingstein, P. ; Hibbard, K. ; Hoffman, F. ; Huntzinger, D. ; Jones, C. D. ; Koven, C. ; Lawrence, D. ; Li, D. J. ; Mahecha, M. ; Niu, S. L. ; Norby, R. ; Piao, S. L. ; Qi, X. ; Peylin, P. ; Prentice, I. C. ; Riley, W. ; Reichstein, M. ; Schwalm, C. ; Wang, Y. P. ; Xia, J. Y. ; Zaehle, S. ; Zhou, X. H.
刊名	biogeosciences
	2012
关键词	GLOBAL VEGETATION MODEL CARBON-CYCLE FEEDBACK TERRESTRIAL ECOSYSTEMS NITROGEN DEPOSITION CLIMATE-CHANGE EVAPOTRANSPIRATION ALGORITHM PERFORMANCE ANALYSIS DATA ASSIMILATION SOIL RESPIRATION TROPICAL FORESTS
DOI	10.5194/bg-9-3857-2012
英文摘要	Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine data-model mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.; Ecology; Geosciences, Multidisciplinary; SCI(E); 45; ARTICLE; 10; 3857-3874; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/393864]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Luo, Y. Q.,Randerson, J. T.,Abramowitz, G.,et al. A framework for benchmarking land models[J]. biogeosciences,2012.
APA	Luo, Y. Q..,Randerson, J. T..,Abramowitz, G..,Bacour, C..,Blyth, E..,...&Zhou, X. H..(2012).A framework for benchmarking land models.biogeosciences.
MLA	Luo, Y. Q.,et al."A framework for benchmarking land models".biogeosciences (2012).