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

David M. Lawrence; Rosie A. Fisher; Charles D. Koven; Keith W. Oleson; Sean C. Swenson; Gordon Bonan; Nathan Collier; Bardan Ghimire; Leo van Kampenhout; Daniel Kennedy; Erik Kluzek; Peter J. Lawrence; Fang Li; Hongyi Li; Danica Lombardozzi; William J. Riley; William J. Sacks; Mingjie Shi; Mariana Vertenstein; William R. Wieder; Chonggang Xu; Ashehad A. Ali; Andrew M. Badger; Gautam Bisht; Michiel van den Broeke; Michael A. Brunke; Sean P. Burns; Jonathan Buzan; Martyn Clark; Anthony Craig; Kyla Dahlin; Beth Drewniak; Joshua B. Fisher; Mark Flanner; Andrew M. Fox; Pierre Gentine; Forrest Hoffman; Gretchen Keppel-Aleks; Ryan Knox; Sanjiv Kumar; Jan Lenaerts; L. Ruby Leung; William H. Lipscomb; Yaqiong Lu; Ashutosh Pandey; Jon D. Pelletier; Justin Perket; James T. Randerson; Daniel M. Ricciuto; Benjamin M. Sanderson; Andrew Slater; Zachary M. Subin; Jinyun Tang; R. Quinn Thomas; Maria Val Martin; Xubin Zeng

doi:10.1029/2018MS001583

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

David M. Lawrence, Rosie A. Fisher, Charles D. Koven, Keith W. Oleson, Sean C. Swenson, Gordon Bonan, Nathan Collier, Bardan Ghimire, Leo van Kampenhout, Daniel Kennedy, Erik Kluzek, Peter J. Lawrence, Fang Li, Hongyi Li, Danica Lombardozzi, William J. Riley, William J. Sacks, Mingjie Shi, Mariana Vertenstein, William R. WiederChonggang Xu, Ashehad A. Ali, Andrew M. Badger, Gautam Bisht, Michiel van den Broeke, Michael A. Brunke, Sean P. Burns, Jonathan Buzan, Martyn Clark, Anthony Craig, Kyla Dahlin, Beth Drewniak, Joshua B. Fisher, Mark Flanner, Andrew M. Fox, Pierre Gentine, Forrest Hoffman, Gretchen Keppel-Aleks, Ryan Knox, Sanjiv Kumar, Jan Lenaerts, L. Ruby Leung, William H. Lipscomb, Yaqiong Lu, Ashutosh Pandey, Jon D. Pelletier, Justin Perket, James T. Randerson, Daniel M. Ricciuto, Benjamin M. Sanderson, Andrew Slater, Zachary M. Subin, Jinyun Tang, R. Quinn Thomas, Maria Val Martin, Xubin Zeng

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Abstract

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.

Original language	English
Pages (from-to)	4245-4287
Number of pages	43
Journal	Journal of Advances in Modeling Earth Systems
Volume	11
Issue number	12
DOIs	https://doi.org/10.1029/2018MS001583
State	Published - Dec 1 2019

Funding

We 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 DE-SC0016188; 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). We 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 DE‐SC0016188; 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 ).

Keywords

Earth System Modeling
benchmarking
carbon and nitrogen cycling
global land model
hydrology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1029/2018MS001583

Cite this

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., ... 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), 4245-4287. https://doi.org/10.1029/2018MS001583

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abstract = "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.",

keywords = "Earth System Modeling, benchmarking, carbon and nitrogen cycling, global land model, hydrology",

author = "Lawrence, {David M.} and Fisher, {Rosie A.} and Koven, {Charles D.} and Oleson, {Keith W.} and Swenson, {Sean C.} and Gordon Bonan and Nathan Collier and Bardan Ghimire and {van Kampenhout}, Leo and Daniel Kennedy and Erik Kluzek and Lawrence, {Peter J.} and Fang Li and Hongyi Li and Danica Lombardozzi and Riley, {William J.} and Sacks, {William J.} and Mingjie Shi and Mariana Vertenstein and Wieder, {William R.} and Chonggang Xu and Ali, {Ashehad A.} and Badger, {Andrew M.} and Gautam Bisht and {van den Broeke}, Michiel and Brunke, {Michael A.} and Burns, {Sean P.} and Jonathan Buzan and Martyn Clark and Anthony Craig and Kyla Dahlin and Beth Drewniak and Fisher, {Joshua B.} and Mark Flanner and Fox, {Andrew M.} and Pierre Gentine and Forrest Hoffman and Gretchen Keppel-Aleks and Ryan Knox and Sanjiv Kumar and Jan Lenaerts and Leung, {L. Ruby} and Lipscomb, {William H.} and Yaqiong Lu and Ashutosh Pandey and Pelletier, {Jon D.} and Justin Perket and Randerson, {James T.} and Ricciuto, {Daniel M.} and Sanderson, {Benjamin M.} and Andrew Slater and Subin, {Zachary M.} and Jinyun Tang and Thomas, {R. Quinn} and {Val Martin}, Maria and Xubin Zeng",

note = "Publisher Copyright: {\textcopyright}2019. The Authors.",

year = "2019",

month = dec,

day = "1",

doi = "10.1029/2018MS001583",

language = "English",

volume = "11",

pages = "4245--4287",

journal = "Journal of Advances in Modeling Earth Systems",

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Lawrence, DM, Fisher, RA, Koven, CD, Oleson, KW, Swenson, SC, Bonan, G, Collier, N, Ghimire, B, van Kampenhout, L, Kennedy, D, Kluzek, E, Lawrence, PJ, Li, F, Li, H, Lombardozzi, D, Riley, WJ, Sacks, WJ, Shi, M, Vertenstein, M, Wieder, WR, Xu, C, Ali, AA, Badger, AM, Bisht, G, van den Broeke, M, Brunke, MA, Burns, SP, Buzan, J, Clark, M, Craig, A, Dahlin, K, Drewniak, B, Fisher, JB, Flanner, M, Fox, AM, Gentine, P, Hoffman, F, Keppel-Aleks, G, Knox, R, Kumar, S, Lenaerts, J, Leung, LR, Lipscomb, WH, Lu, Y, Pandey, A, Pelletier, JD, Perket, J, Randerson, JT, Ricciuto, DM, Sanderson, BM, Slater, A, Subin, ZM, Tang, J, Thomas, RQ, Val Martin, M & 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, vol. 11, no. 12, pp. 4245-4287. https://doi.org/10.1029/2018MS001583

TY - JOUR

T1 - The Community Land Model Version 5

T2 - Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

AU - Lawrence, David M.

AU - Fisher, Rosie A.

AU - Koven, Charles D.

AU - Oleson, Keith W.

AU - Swenson, Sean C.

AU - Bonan, Gordon

AU - Collier, Nathan

AU - Ghimire, Bardan

AU - van Kampenhout, Leo

AU - Kennedy, Daniel

AU - Kluzek, Erik

AU - Lawrence, Peter J.

AU - Li, Fang

AU - Li, Hongyi

AU - Lombardozzi, Danica

AU - Riley, William J.

AU - Sacks, William J.

AU - Shi, Mingjie

AU - Vertenstein, Mariana

AU - Wieder, William R.

AU - Xu, Chonggang

AU - Ali, Ashehad A.

AU - Badger, Andrew M.

AU - Bisht, Gautam

AU - van den Broeke, Michiel

AU - Brunke, Michael A.

AU - Burns, Sean P.

AU - Buzan, Jonathan

AU - Clark, Martyn

AU - Craig, Anthony

AU - Dahlin, Kyla

AU - Drewniak, Beth

AU - Fisher, Joshua B.

AU - Flanner, Mark

AU - Fox, Andrew M.

AU - Gentine, Pierre

AU - Hoffman, Forrest

AU - Keppel-Aleks, Gretchen

AU - Knox, Ryan

AU - Kumar, Sanjiv

AU - Lenaerts, Jan

AU - Leung, L. Ruby

AU - Lipscomb, William H.

AU - Lu, Yaqiong

AU - Pandey, Ashutosh

AU - Pelletier, Jon D.

AU - Perket, Justin

AU - Randerson, James T.

AU - Ricciuto, Daniel M.

AU - Sanderson, Benjamin M.

AU - Slater, Andrew

AU - Subin, Zachary M.

AU - Tang, Jinyun

AU - Thomas, R. Quinn

AU - Val Martin, Maria

AU - Zeng, Xubin

PY - 2019/12/1

Y1 - 2019/12/1

N2 - 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.

AB - 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.

KW - Earth System Modeling

KW - benchmarking

KW - carbon and nitrogen cycling

KW - global land model

KW - hydrology

UR - http://www.scopus.com/inward/record.url?scp=85076429883&partnerID=8YFLogxK

U2 - 10.1029/2018MS001583

DO - 10.1029/2018MS001583

M3 - Article

AN - SCOPUS:85076429883

SN - 1942-2466

VL - 11

SP - 4245

EP - 4287

JO - Journal of Advances in Modeling Earth Systems

JF - Journal of Advances in Modeling Earth Systems

IS - 12

ER -

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

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Keywords

UN SDGs

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