The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty
Name:
Lawrence_et_al-2019-Journal_of ...
Size:
19.85Mb
Format:
PDF
Description:
Final Published Version
Author
Lawrence, David M.Fisher, Rosie A.
Koven, Charles D.

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

Affiliation
Univ Arizona, Dept Hydrol & Atmospher SciUniv Arizona, Sch Nat Resources & Environm
Univ Arizona, Dept Geosci
Issue Date
2019-12-12
Metadata
Show full item recordPublisher
AMER GEOPHYSICAL UNIONCitation
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., 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, 11, 4245-4287. https://doi.org/10.1029/2018MS001583Rights
Copyright © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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.Note
Open access journalISSN
1942-2466Version
Final published versionSponsors
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, DESC0016188]; National Science Foundation (NSF) [DEB-1153401]; NASA's CARBON program; NASA's TE program; National Aeronautics & Space Administration (NASA)ae974a485f413a2113503eed53cd6c53
10.1029/2018ms001583
Scopus Count
Collections
Except where otherwise noted, this item's license is described as Copyright © 2019. The Authors. This is an open access article under the terms of the Creative Commons Attribution License.