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

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dc.contributor.authorLawrence, David M.en
dc.contributor.authorFisher, Rosie A.en
dc.contributor.authorKoven, Charles D.en
dc.contributor.authorOleson, Keith W.en
dc.contributor.authorSwenson, Sean C.en
dc.contributor.authorBonan, Gordon B.en
dc.contributor.authorCollier, Nathanen
dc.contributor.authorGhimire, Bardanen
dc.contributor.authorvan Kampenhout, Leoen
dc.contributor.authorKennedy, Danielen
dc.contributor.authorKluzek, Eriken
dc.contributor.authorLawrence, Peter J.en
dc.contributor.authorLi, Fangen
dc.contributor.authorLi, Hongyien
dc.contributor.authorLombardozzi, Danica L.en
dc.contributor.authorRiley, William J.en
dc.contributor.authorSacks, William J.en
dc.contributor.authorShi, Mingjieen
dc.contributor.authorVertenstein, Marianaen
dc.contributor.authorWieder, William R.en
dc.contributor.authorXu, Chonggangen
dc.contributor.authorAli, Ashehad A.en
dc.contributor.authorBadger, Andrew M.en
dc.contributor.authorBisht, Gautamen
dc.contributor.authorvan den Broeke, Michielen
dc.contributor.authorBrunke, Michael A.en
dc.contributor.authorBurns, Sean P.en
dc.contributor.authorBuzan, Jonathanen
dc.contributor.authorClark, Martynen
dc.contributor.authorCraig, Anthonyen
dc.contributor.authorDahlin, Kylaen
dc.contributor.authorDrewniak, Bethen
dc.contributor.authorFisher, Joshua B.en
dc.contributor.authorFlanner, Marken
dc.contributor.authorFox, Andrew M.en
dc.contributor.authorGentine, Pierreen
dc.contributor.authorHoffman, Forresten
dc.contributor.authorKeppel-Aleks, Gretchenen
dc.contributor.authorKnox, Ryanen
dc.contributor.authorKumar, Sanjiven
dc.contributor.authorLenaerts, Janen
dc.contributor.authorLeung, L. Rubyen
dc.contributor.authorLipscomb, William H.en
dc.contributor.authorLu, Yaqiongen
dc.contributor.authorPandey, Ashutoshen
dc.contributor.authorPelletier, Jon D.en
dc.contributor.authorPerket, Justinen
dc.contributor.authorRanderson, James T.en
dc.contributor.authorRicciuto, Daniel M.en
dc.contributor.authorSanderson, Benjamin M.en
dc.contributor.authorSlater, Andrewen
dc.contributor.authorSubin, Zachary M.en
dc.contributor.authorTang, Jinyunen
dc.contributor.authorThomas, R. Quinnen
dc.contributor.authorMartin, Maria Valen
dc.contributor.authorZeng, Xubinen
dc.contributor.departmentForest Resources and Environmental Conservationen
dc.date.accessioned2020-01-14T18:37:56Zen
dc.date.available2020-01-14T18:37:56Zen
dc.date.issued2019-10-19en
dc.description.abstractThe 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.en
dc.description.notesWe would like to thank the reviewers for their insightful comments and helpful suggestions that improved the clarity and presentation of the manuscript. The CESM project is supported primarily by the National Science Foundation (NSF). This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the NSF under Cooperative Agreement 1852977. Computing and data storage resources, including the Cheyenne supercomputer (doi: 10.5065/D6RX99HX), were provided by the Computational and Information Systems Laboratory (CISL) at NCAR. D. M. L. was supported in part by the RUBISCO Scientific Focus Area (SFA), which is sponsored by the 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. D. K. and P. G. were supported by Columbia University Presidential Fellowship. G. B., D. L. L., W. R. W., and R. Q. T. were supported by the U.S. Department of Agriculture NIFA Award 2015-67003-23485. W. R. W. and G. K. A. were supported by the NASA Interdisciplinary Science Program Award NNX17AK19G. J. B. F. and M. S. carried out the research in part at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. California Institute of Technology. Government sponsorship acknowledged. All rights reserved. J. B. F. and M. S. were supported in part by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, Terrestrial Ecosystem Science program under Awards DE-SC0008317 and DESC0016188; the National Science Foundation Ecosystem Science program (DEB-1153401); and NASA's CARBON and TE programs. All model data are archived and publicly available at the UCAR/NCAR Climate Data Gateway (https://doi.org/10.5065/d6154fwh).en
dc.description.sponsorshipNational Science Foundation (NSF)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 programUnited States Department of Energy (DOE) [DE-SC0008317, DESC0016188]; National Science FoundationNational Science Foundation (NSF) [DEB-1153401]; NASA's CARBON program; NASA's TE program; National Aeronautics and Space AdministrationNational Aeronautics & Space Administration (NASA)en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1029/2018MS001583en
dc.identifier.eissn1942-2466en
dc.identifier.urihttp://hdl.handle.net/10919/96433en
dc.language.isoenen
dc.publisherAmerican Geophysical Unionen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectglobal land modelen
dc.subjectEarth System Modelingen
dc.subjectcarbon and nitrogen cyclingen
dc.subjecthydrologyen
dc.subjectbenchmarkingen
dc.titleThe Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertaintyen
dc.title.serialJournal of Advances in Modeling Earth Systemsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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