气候变化领域集成服务门户(CCPortal): The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

CCPortal

DOI	10.1029/2018MS001583
	The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty
	Lawrence D.M.; Fisher R.A.; Koven C.D.; Oleson K.W.; Swenson S.C.; Bonan G.; Collier N.; Ghimire B.; van Kampenhout L.; Kennedy D.; Kluzek E.; Lawrence P.J.; Li F.; Li H.; Lombardozzi D.; Riley W.J.; Sacks W.J.; Shi M.; Vertenstein M.; Wieder W.R.; Xu C.; Ali A.A.; Badger A.M.; Bisht G.; van den Broeke M.; Brunke M.A.; Burns S.P.; Buzan J.; Clark M.; Craig A.; Dahlin K.; Drewniak B.; Fisher J.B.; Flanner M.; Fox A.M.; Gentine P.; Hoffman F.; Keppel-Aleks G.; Knox R.; Kumar S.; Lenaerts J.; Leung L.R.; Lipscomb W.H.; Lu Y.; Pandey A.; Pelletier J.D.; Perket J.; Randerson J.T.; Ricciuto D.M.; Sanderson B.M.; Slater A.; Subin Z.M.; Tang J.; Thomas R.Q.; Val Martin M.; Zeng X.
发表日期	2019
ISSN	19422466
起始页码	4245
结束页码	4287
卷号	11 期号:12
英文摘要	The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems. In this paper, we introduce model developments included in CLM version 5 (CLM5), which is the default land component for CESM2. We assess an ensemble of simulations, including prescribed and prognostic vegetation state, multiple forcing data sets, and CLM4, CLM4.5, and CLM5, against a range of metrics including from the International Land Model Benchmarking (ILAMBv2) package. CLM5 includes new and updated processes and parameterizations: (1) dynamic land units, (2) updated parameterizations and structure for hydrology and snow (spatially explicit soil depth, dry surface layer, revised groundwater scheme, revised canopy interception and canopy snow processes, updated fresh snow density, simple firn model, and Model for Scale Adaptive River Transport), (3) plant hydraulics and hydraulic redistribution, (4) revised nitrogen cycling (flexible leaf stoichiometry, leaf N optimization for photosynthesis, and carbon costs for plant nitrogen uptake), (5) global crop model with six crop types and time-evolving irrigated areas and fertilization rates, (6) updated urban building energy, (7) carbon isotopes, and (8) updated stomatal physiology. New optional features include demographically structured dynamic vegetation model (Functionally Assembled Terrestrial Ecosystem Simulator), ozone damage to plants, and fire trace gas emissions coupling to the atmosphere. Conclusive establishment of improvement or degradation of individual variables or metrics is challenged by forcing uncertainty, parametric uncertainty, and model structural complexity, but the multivariate metrics presented here suggest a general broad improvement from CLM4 to CLM5. ©2019. The Authors.
英文关键词	benchmarking; carbon and nitrogen cycling; Earth System Modeling; global land model; hydrology
语种	英语
scopus关键词	Benchmarking; Carbon; Crops; Gas emissions; Gas plants; Groundwater; Hydrology; Nitrogen; Snow; Urban transportation; Carbon and nitrogen; Community land models; Dynamic vegetation model; Earth system model; Land model; Parametric uncertainties; Structural complexity; Terrestrial ecosystems; Vegetation; benchmarking; carbon cycle; climate effect; climate forcing; climate modeling; hydrology; nitrogen cycle; simulation; uncertainty analysis
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156801
作者单位	Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Computer Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States; Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands; Department of Earth and Environmental Engineering, Columbia University, New York, NY, United States; International Center for Climate and Environmental Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; Department of Civil & Environmental Engineering, University of Houston, Houston, TX, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, CA, United States; Los Alamos National Laboratory, Los Alamos...
推荐引用方式 GB/T 7714	Lawrence D.M.,Fisher R.A.,Koven C.D.,et al. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty[J],2019,11(12).
APA	Lawrence D.M..,Fisher R.A..,Koven C.D..,Oleson K.W..,Swenson S.C..,...&Zeng X..(2019).The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty.Journal of Advances in Modeling Earth Systems,11(12).
MLA	Lawrence D.M.,et al."The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty".Journal of Advances in Modeling Earth Systems 11.12(2019).