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The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

文献类型:期刊论文

作者Lawrence David M.2; Fisher Rosie A.2; Koven Charles D.7; Oleson Keith W.2; Swenson Sean C.2; Bonan Gordon2; Collier Nathan8; Ghimire Bardan7; van Kampenhout Leo9; Kennedy Daniel10
刊名JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
出版日期2019
卷号11期号:12页码:4245-4287
关键词global land model Earth System Modeling carbon and nitrogen cycling hydrology benchmarking
DOI10.1029/2018MS001583
通讯作者Lawrence, David M.(dlawren@ucar.edu)
文献子类Article
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.
电子版国际标准刊号1942-2466
WOS关键词WATER-USE EFFICIENCY ; DROUGHT DECIDUOUS PHENOLOGY ; NET PRIMARY PRODUCTIVITY ; CARBON USE EFFICIENCY ; GLOBAL SOIL-MOISTURE ; EARTH SYSTEM MODEL ; ICE-SHEET MODEL ; INTERCOMPARISON PROJECT ; DATA ASSIMILATION ; NITROGEN-CYCLE
资助项目National Science Foundation (NSF) ; National Center for Atmospheric Research - NSF[1852977] ; RUBISCO Scientific Focus Area (SFA) - Regional and Global Climate Modeling (RGCM) Program in the Climate and Environmental Sciences Division (CESD) of the Office of Biological and Environmental Research in the U.S. Department of Energy Office of Science ; Columbia University Presidential Fellowship ; U.S. Department of Agriculture NIFA Award[2015-67003-23485] ; NASA Interdisciplinary Science Program Award[NNX17AK19G] ; U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science program[DE-SC0008317] ; U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science program[DESC0016188] ; National Science Foundation[DEB-1153401] ; NASA's CARBON program ; NASA's TE program ; National Aeronautics and Space Administration
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者AMER GEOPHYSICAL UNION
WOS记录号WOS:000502568600001
资助机构National Science Foundation (NSF) ; National Center for Atmospheric Research - NSF ; RUBISCO Scientific Focus Area (SFA) - Regional and Global Climate Modeling (RGCM) Program in the Climate and Environmental Sciences Division (CESD) of the Office of Biological and Environmental Research in the U.S. Department of Energy Office of Science ; Columbia University Presidential Fellowship ; U.S. Department of Agriculture NIFA Award ; NASA Interdisciplinary Science Program Award ; U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science program ; National Science Foundation ; NASA's CARBON program ; NASA's TE program ; National Aeronautics and Space Administration
源URL[http://ir.imde.ac.cn/handle/131551/33561]  
专题成都山地灾害与环境研究所_山地表生过程与生态调控重点实验室
通讯作者Lawrence David M.
作者单位1.CERFACS, Toulouse, France;
2.Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, USA;
3.Energy & Environmental Economics, San Francisco, CA, USA;
4.Department of Forest Resources and Environmental Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA;
5.Leverhulme Centre for Climate Change Mitigation, Animal and Plant Sciences Department, University of Sheffield, Sheffield, UK;
6.Mesoscale and Microscale Meteorology Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
7.Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA;
8.Computer Science and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA;
9.Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, The Netherlands;
10.Department of Earth and Environmental Engineering, Columbia University, New York, NY, USA;
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Lawrence David M.,Fisher Rosie A.,Koven Charles D.,et al. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty[J]. JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS,2019,11(12):4245-4287.
APA Lawrence David M..,Fisher Rosie A..,Koven Charles D..,Oleson Keith W..,Swenson Sean C..,...&Zeng Xubin.(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),4245-4287.
MLA Lawrence David 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):4245-4287.

入库方式: OAI收割

来源:成都山地灾害与环境研究所

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