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 Swenson, G. B. Bonan, Nathan Collier, Bardan Ghimire, Leo van Kampenhout, Daniel Kennedy, Erik Kluzek, Peter Lawrence, Fang Li, Hong‐Yi Li, Danica Lombardozzi, W. J. Riley, William J. Sacks, Mingjie Shi, Mariana Vertenstein, William R. Wieder, Chonggang Xu, Ashehad A. Ali, Andrew M. Badger, Gautam Bisht, M. R. van den Broeke, Michael A. Brunke, Sean P. Burns, Jonathan Buzan, Martyn Clark, Anthony P Craig, Kyla M. Dahlin, Beth Drewniak, Joshua B. Fisher, M. Flanner, A. M. Fox, Pierre Gentine, Forrest M. Hoffman, G. Keppel‐Aleks, R. G. Knox, Sanjiv Kumar, Jan T. M. Lenaerts, L. Ruby Leung, William H. Lipscomb, Yaqiong Lü, Ashutosh Pandey, Jon D. Pelletier, J. Perket, James T. Randerson, D. M. Ricciuto, Benjamin M. Sanderson, A. G. Slater, Z. M. Subin, Jinyun Tang, R. Quinn Thomas, Maria Val Martin, Xubin Zeng
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.- Cite:
- David M. Lawrence, Rosie A. Fisher, Charles D. Koven, Keith W. Oleson, Sean Swenson, G. B. Bonan, Nathan Collier, Bardan Ghimire, Leo van Kampenhout, Daniel Kennedy, Erik Kluzek, Peter Lawrence, Fang Li, Hong‐Yi Li, Danica Lombardozzi, W. J. Riley, William J. Sacks, Mingjie Shi, Mariana Vertenstein, et al.. 2019. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty. Journal of Advances in Modeling Earth Systems, Volume 11, Issue 12, 11(12):4245–4287.
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@article{Lawrence-2019-The, title = "The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty", author = {Lawrence, David M. and Fisher, Rosie A. and Koven, Charles D. and Oleson, Keith W. and Swenson, Sean and Bonan, G. B. and Collier, Nathan and Ghimire, Bardan and Kampenhout, Leo van and Kennedy, Daniel and Kluzek, Erik and Lawrence, Peter and Li, Fang and Li, Hong‐Yi and Lombardozzi, Danica and Riley, W. J. and Sacks, William J. and Shi, Mingjie and Vertenstein, Mariana and Wieder, William R. and Xu, Chonggang and Ali, Ashehad A. and Badger, Andrew M. and Bisht, Gautam and Broeke, M. R. van den and Brunke, Michael A. and Burns, Sean P. and Buzan, Jonathan and Clark, Martyn and Craig, Anthony P and Dahlin, Kyla M. and Drewniak, Beth and Fisher, Joshua B. and Flanner, M. and Fox, A. M. and Gentine, Pierre and Hoffman, Forrest M. and Keppel‐Aleks, G. and Knox, R. G. and Kumar, Sanjiv and Lenaerts, Jan T. M. and Leung, L. Ruby and Lipscomb, William H. and L{\"u}, Yaqiong and Pandey, Ashutosh and Pelletier, Jon D. and Perket, J. and Randerson, James T. and Ricciuto, D. M. and Sanderson, Benjamin M. and Slater, A. G. and Subin, Z. M. and Tang, Jinyun and Thomas, R. Quinn and Martin, Maria Val and Zeng, Xubin}, journal = "Journal of Advances in Modeling Earth Systems, Volume 11, Issue 12", volume = "11", number = "12", year = "2019", publisher = "American Geophysical Union (AGU)", url = "https://gwf-uwaterloo.github.io/gwf-publications/G19-86001", doi = "10.1029/2018ms001583", pages = "4245--4287", 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.", }
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type="given">D</namePart> <namePart type="family">Pelletier</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">J</namePart> <namePart type="family">Perket</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">James</namePart> <namePart type="given">T</namePart> <namePart type="family">Randerson</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">D</namePart> <namePart type="given">M</namePart> <namePart type="family">Ricciuto</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Benjamin</namePart> <namePart type="given">M</namePart> <namePart type="family">Sanderson</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">A</namePart> <namePart type="given">G</namePart> <namePart type="family">Slater</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Z</namePart> <namePart type="given">M</namePart> <namePart type="family">Subin</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Jinyun</namePart> <namePart type="family">Tang</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">R</namePart> <namePart type="given">Quinn</namePart> <namePart type="family">Thomas</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Maria</namePart> <namePart type="given">Val</namePart> <namePart type="family">Martin</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <name type="personal"> <namePart type="given">Xubin</namePart> <namePart type="family">Zeng</namePart> <role> <roleTerm authority="marcrelator" type="text">author</roleTerm> </role> </name> <originInfo> <dateIssued>2019</dateIssued> </originInfo> <typeOfResource>text</typeOfResource> <genre authority="bibutilsgt">journal article</genre> <relatedItem type="host"> <titleInfo> <title>Journal of Advances in Modeling Earth Systems, Volume 11, Issue 12</title> </titleInfo> <originInfo> <issuance>continuing</issuance> <publisher>American Geophysical Union (AGU)</publisher> </originInfo> <genre authority="marcgt">periodical</genre> <genre authority="bibutilsgt">academic journal</genre> </relatedItem> <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.</abstract> <identifier type="citekey">Lawrence-2019-The</identifier> <identifier type="doi">10.1029/2018ms001583</identifier> <location> <url>https://gwf-uwaterloo.github.io/gwf-publications/G19-86001</url> </location> <part> <date>2019</date> <detail type="volume"><number>11</number></detail> <detail type="issue"><number>12</number></detail> <extent unit="page"> <start>4245</start> <end>4287</end> </extent> </part> </mods> </modsCollection>
%0 Journal Article %T The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty %A Lawrence, David M. %A Fisher, Rosie A. %A Koven, Charles D. %A Oleson, Keith W. %A Swenson, Sean %A Bonan, G. B. %A Collier, Nathan %A Ghimire, Bardan %A Kampenhout, Leo van %A Kennedy, Daniel %A Kluzek, Erik %A Lawrence, Peter %A Li, Fang %A Li, Hong‐Yi %A Lombardozzi, Danica %A Riley, W. J. %A Sacks, William J. %A Shi, Mingjie %A Vertenstein, Mariana %A Wieder, William R. %A Xu, Chonggang %A Ali, Ashehad A. %A Badger, Andrew M. %A Bisht, Gautam %A Broeke, M. R. van den %A Brunke, Michael A. %A Burns, Sean P. %A Buzan, Jonathan %A Clark, Martyn %A Craig, Anthony P. %A Dahlin, Kyla M. %A Drewniak, Beth %A Fisher, Joshua B. %A Flanner, M. %A Fox, A. M. %A Gentine, Pierre %A Hoffman, Forrest M. %A Keppel‐Aleks, G. %A Knox, R. G. %A Kumar, Sanjiv %A Lenaerts, Jan T. M. %A Leung, L. Ruby %A Lipscomb, William H. %A Lü, Yaqiong %A Pandey, Ashutosh %A Pelletier, Jon D. %A Perket, J. %A Randerson, James T. %A Ricciuto, D. M. %A Sanderson, Benjamin M. %A Slater, A. G. %A Subin, Z. M. %A Tang, Jinyun %A Thomas, R. Quinn %A Martin, Maria Val %A Zeng, Xubin %J Journal of Advances in Modeling Earth Systems, Volume 11, Issue 12 %D 2019 %V 11 %N 12 %I American Geophysical Union (AGU) %F Lawrence-2019-The %X 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. %R 10.1029/2018ms001583 %U https://gwf-uwaterloo.github.io/gwf-publications/G19-86001 %U https://doi.org/10.1029/2018ms001583 %P 4245-4287
Markdown (Informal)
[The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty](https://gwf-uwaterloo.github.io/gwf-publications/G19-86001) (Lawrence et al., GWF 2019)
- The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty (Lawrence et al., GWF 2019)
ACL
- David M. Lawrence, Rosie A. Fisher, Charles D. Koven, Keith W. Oleson, Sean Swenson, G. B. Bonan, Nathan Collier, Bardan Ghimire, Leo van Kampenhout, Daniel Kennedy, Erik Kluzek, Peter Lawrence, Fang Li, Hong‐Yi Li, Danica Lombardozzi, W. J. Riley, William J. Sacks, Mingjie Shi, Mariana Vertenstein, et al.. 2019. The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty. Journal of Advances in Modeling Earth Systems, Volume 11, Issue 12, 11(12):4245–4287.