<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Randerson, J. T.</style></author><author><style face="normal" font="default" size="100%">Hoffman, F. M.</style></author><author><style face="normal" font="default" size="100%">Thornton, P. E.</style></author><author><style face="normal" font="default" size="100%">Mahowald, N. M.</style></author><author><style face="normal" font="default" size="100%">Lindsay, K.</style></author><author><style face="normal" font="default" size="100%">Lee, Y. H.</style></author><author><style face="normal" font="default" size="100%">Nevison, C. D.</style></author><author><style face="normal" font="default" size="100%">Doney, S. C.</style></author><author><style face="normal" font="default" size="100%">Bonan, G.</style></author><author><style face="normal" font="default" size="100%">Stockli, R.</style></author><author><style face="normal" font="default" size="100%">Covey, C.</style></author><author><style face="normal" font="default" size="100%">Running, S. W.</style></author><author><style face="normal" font="default" size="100%">Fung, I. Y.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models</style></title><secondary-title><style face="normal" font="default" size="100%">Global Change Biology</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Glob. Change Biol.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">ameriflux</style></keyword><keyword><style  face="normal" font="default" size="100%">atmospheric co2</style></keyword><keyword><style  face="normal" font="default" size="100%">atmospheric tracer transport model intercomparison project</style></keyword><keyword><style  face="normal" font="default" size="100%">community land model</style></keyword><keyword><style  face="normal" font="default" size="100%">disturbance</style></keyword><keyword><style  face="normal" font="default" size="100%">ecosystem model</style></keyword><keyword><style  face="normal" font="default" size="100%">FACE</style></keyword><keyword><style  face="normal" font="default" size="100%">forest biomass</style></keyword><keyword><style  face="normal" font="default" size="100%">free air carbon dioxide enrichment</style></keyword><keyword><style  face="normal" font="default" size="100%">global response</style></keyword><keyword><style  face="normal" font="default" size="100%">interannual</style></keyword><keyword><style  face="normal" font="default" size="100%">long-term</style></keyword><keyword><style  face="normal" font="default" size="100%">modis</style></keyword><keyword><style  face="normal" font="default" size="100%">net primary production (NPP)</style></keyword><keyword><style  face="normal" font="default" size="100%">Randerson Lab</style></keyword><keyword><style  face="normal" font="default" size="100%">seasonal cycle</style></keyword><keyword><style  face="normal" font="default" size="100%">sensitivity</style></keyword><keyword><style  face="normal" font="default" size="100%">surface energy exchange</style></keyword><keyword><style  face="normal" font="default" size="100%">TRANSCOM</style></keyword><keyword><style  face="normal" font="default" size="100%">variability</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2009</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2009</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">pub/704</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">10</style></number><volume><style face="normal" font="default" size="100%">15</style></volume><pages><style face="normal" font="default" size="100%">2462-2484</style></pages><isbn><style face="normal" font="default" size="100%">1354-1013</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;With representation of the global carbon cycle becoming increasingly complex in climate models, it is important to develop ways to quantitatively evaluate model performance against in situ and remote sensing observations. Here we present a systematic framework, the Carbon-LAnd Model Intercomparison Project (C-LAMP), for assessing terrestrial biogeochemistry models coupled to climate models using observations that span a wide range of temporal and spatial scales. As an example of the value of such comparisons, we used this framework to evaluate two biogeochemistry models that are integrated within the Community Climate System Model (CCSM) - Carnegie-Ames-Stanford Approach' (CASA') and carbon-nitrogen (CN). Both models underestimated the magnitude of net carbon uptake during the growing season in temperate and boreal forest ecosystems, based on comparison with atmospheric CO2 measurements and eddy covariance measurements of net ecosystem exchange. Comparison with MODerate Resolution Imaging Spectroradiometer (MODIS) measurements show that this low bias in model fluxes was caused, at least in part, by 1-3 month delays in the timing of maximum leaf area. In the tropics, the models overestimated carbon storage in woody biomass based on comparison with datasets from the Amazon. Reducing this model bias will probably weaken the sensitivity of terrestrial carbon fluxes to both atmospheric CO2 and climate. Global carbon sinks during the 1990s differed by a factor of two (2.4 Pg C yr(-1) for CASA' vs. 1.2 Pg C yr(-1) for CN), with fluxes from both models compatible with the atmospheric budget given uncertainties in other terms. The models captured some of the timing of interannual global terrestrial carbon exchange during 1988-2004 based on comparison with atmospheric inversion results from TRANSCOM (r=0.66 for CASA' and r=0.73 for CN). Adding (CASA') or improving (CN) the representation of deforestation fires may further increase agreement with the atmospheric record. Information from C-LAMP has enhanced model performance within CCSM and serves as a benchmark for future development. We propose that an open source, community-wide platform for model-data intercomparison is needed to speed model development and to strengthen ties between modeling and measurement communities. Important next steps include the design and analysis of land use change simulations (in both uncoupled and coupled modes), and the entrainment of additional ecological and earth system observations. Model results from C-LAMP are publicly available on the Earth System Grid.&lt;/p&gt;</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><accession-num><style face="normal" font="default" size="100%">ISI:000269577800009</style></accession-num><notes><style face="normal" font="default" size="100%">&lt;p&gt;ISI Document Delivery No.: 491KOTimes Cited: 12Cited Reference Count: 96Cited References:      ANANTHAKRISHNAN R, 2007, J PHYS C SERIES, V78, P12050     BAKER DF, 2006, GLOBAL BIOGEOCHEM CY, V20, ARTN GB1002     BALA G, 2007, P NATL ACAD SCI USA, V104, P6550, DOI     10.1073/pnas.0608998104     BARFORD CC, 2001, SCIENCE, V294, P1688     BARKER T, 2007, CLIMATE CHANGE 2007, P25     BERNHOLDT D, 2005, P IEEE, V93, P485, DOI 10.1109/JPROC.2004.842745     BERTHELOT M, 2002, GLOBAL BIOGEOCHEM CY, V16, ARTN 1084     BETTS RA, 2004, THEOR APPL CLIMATOL, V78, P157, DOI     10.1007/s00704-004-0050-y     BLACKARD JA, 2008, REMOTE SENS ENVIRON, 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V6, P3423     VANDERWERF GR, 2008, P NATL ACAD SCI USA, V105, P20350, DOI     10.1073/pnas.0803375105     VIEIRA S, 2004, OECOLOGIA, V140, P468, DOI 10.1007/s00442-004-1598-z     WAN ZM, 2002, REMOTE SENS ENVIRON, V83, P163     WILSON KB, 2001, J GEOPHYS RES-ATMOS, V106, P34167     YANG Z, 2007, GEOPHYS RES LETT, V34, ARTN L12807     ZHANG DQ, 2008, J PLANT ECOL-UK, V1, P85, DOI 10.1093/jpe/rtn002     ZHAO M, 2006, J GEOPHYS RES-BIOGEO, V111, ARTN G01002     ZHAO MS, 2005, REMOTE SENS ENVIRON, V95, P164, DOI     10.1016/j.rse.2004.12.011Randerson, James T. Hoffman, Forrest M. Thornton, Peter E. Mahowald, Natalie M. Lindsay, Keith Lee, Yen-Huei Nevison, Cynthia D. Doney, Scott C. Bonan, Gordon Stoeckli, Reto Covey, Curtis Running, Steven W. Fung, Inez Y.Office of Biological and Environmental Research (OBER) ; Office of Advanced Scientific Computing Research (OASCR) ; US Department of Energy [DE-AC05-00OR22725, DE-AC52-07NA27344]; U.S. National Science Foundation (NSF) ; NASA [NNG04GK49G]We thank R. Cook from the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center and T. Boden from the ORNL Carbon Dioxide Information and Analysis Center for help accessing and interpreting the NPP and Ameriflux observations. We thank Ameriflux colleagues for making the level 4 observations publicly available and NOAA GMD for the atmospheric CO2 observations. We thank D. Baker for sharing the TRANSCOM interannual flux time series (and for providing updates through 2004) and Y. Malhi for sharing a preprint of his Amazon synthesis paper. This research was partially sponsored by the Climate Change Research Division (CCRD) of the Office of Biological and Environmental Research (OBER) and the Computational Science Research and Partnerships (SciDAC) Division of the Office of Advanced Scientific Computing Research (OASCR) within the US Department of Energy's Office of Science. This research used resources of the National Center for Computational Science at ORNL, which is managed by UT-Battelle, LLC, for the US Department of Energy under Contract No. DE-AC05-00OR22725. Part of this work was performed under auspices of the Office of Science, U.S. Department of Energy, at Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344. The National Center for Atmospheric Research (NCAR) is sponsored by the U.S. National Science Foundation (NSF). Randerson, Mahowald, Doney, and Fung received support from NSF's Carbon and Water Initiative. The Global Fire Emissions Database (GFEDv2) was developed with support from NASA NNG04GK49G.Wiley-blackwell publishing, incMalden&lt;/p&gt;</style></notes><auth-address><style face="normal" font="default" size="100%">&lt;p&gt;[Randerson, James T.; Nevison, Cynthia D.] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92697 USA. [Hoffman, Forrest M.] Oak Ridge Natl Lab, Computat Earth Sci Grp, Oak Ridge, TN 37831 USA. [Thornton, Peter E.; Lindsay, Keith; Lee, Yen-Huei; Bonan, Gordon] Natl Ctr Atmospher Res, Boulder, CO 80307 USA. [Thornton, Peter E.] Oak Ridge Natl Lab, Div Environm Sci, Oak Ridge, TN 37831 USA. [Mahowald, Natalie M.] Cornell Univ, Dept Earth &amp;amp; Atmospher Sci, Ithaca, NY 14850 USA. [Nevison, Cynthia D.] Univ Colorado, Inst Arctic &amp;amp; Alpine Res, Boulder, CO 80309 USA. [Doney, Scott C.] Woods Hole Oceanog Inst, Dept Marine Chem &amp;amp; Geochem, Woods Hole, MA 02543 USA. [Stoeckli, Reto] Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA. [Stoeckli, Reto] Fed Off Meteorol &amp;amp; Climatol, Climate Serv, CH-8044 Zurich, Switzerland. [Covey, Curtis] Program Climate Model Diag &amp;amp; Intercomparison, Livermore, CA 94550 USA. [Running, Steven W.] Univ Montana, Coll Forestry &amp;amp; Conservat, Numer Terradynam Simulat Grp, Missoula, MT 59812 USA. [Fung, Inez Y.] Univ Calif Berkeley, Dept Earth &amp;amp; Planetary Sci, Berkeley, CA 94720 USA. [Fung, Inez Y.] Univ Calif Berkeley, Dept Environm Sci Policy &amp;amp; Management, Berkeley, CA 94720 USA.Randerson, JT, Univ Calif Irvine, Dept Earth Syst Sci, Croul Hall, Irvine, CA 92697 USA.jranders@uci.edu&lt;/p&gt;</style></auth-address></record></records></xml>