1. A model-data intercomparison of CO2exchange across North America: Results from the North American Carbon Program site synthesis
- Author
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Lianhong Gu, Philippe Ciais, Erandathie Lokupitiya, Benjamin Poulter, Russell K. Monson, David Price, Yiqi Luo, Dan M. Riciutto, Changhui Peng, Zhengpeng Li, Guangsheng Chen, Longhui Li, T. Andrew Black, Kenneth J. Davis, Ian Baker, Michael Dietze, Christopher B. Williams, Hans Verbeeck, Alan G. Barr, Lawrence B. Flanagan, Ankur R. Desai, Marc Fischer, Roser Matamala, Shuguang Liu, Michael Sprintsin, David Y. Hollinger, Walter C. Oechel, Peter M. Lafleur, M. Altaf Arain, Robert F. Grant, R. Cesar Izaurralde, Harry McCaughey, Kevin Schaefer, William J. Riley, Beverly E. Law, Hank A. Margolis, Shashi B. Verma, A. K. Sahoo, Hanqin Tian, Siyan Ma, Ryan S. Anderson, Christopher J. Kucharik, Christian Tonitto, Christopher R. Schwalm, Jing M. Chen, Danilo Dragoni, Jianfeng Sun, Northern Arizona University [Flagstaff], Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), ICOS-ATC (ICOS-ATC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), PennState Meteorology Department, Pennsylvania State University (Penn State), Penn State System-Penn State System, German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Environmental Sciences Division [Oak Ridge], Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC-UT-Battelle, LLC, Department of Geographical Sciences [College Park], University of Maryland [College Park], University of Maryland System-University of Maryland System, Ocean University of China (OUC), University of California [Berkeley], University of California, San Diego State University (SDSU), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Auburn University (AU), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), University of California [Berkeley] (UC Berkeley), and University of California (UC)
- Subjects
Atmospheric Science ,010504 meteorology & atmospheric sciences ,Biome ,Eddy covariance ,UNITED-STATES ,Soil Science ,Aquatic Science ,Oceanography ,01 natural sciences ,GLOBAL VEGETATION MODEL ,DIOXIDE EXCHANGE ,Geochemistry and Petrology ,Earth and Planetary Sciences (miscellaneous) ,medicine ,Ecosystem ,Leaf area index ,ATMOSPHERE EXCHANGE ,[SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment ,0105 earth and related environmental sciences ,Earth-Surface Processes ,Water Science and Technology ,[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere ,NET ECOSYSTEM EXCHANGE ,Ecology ,LEAF-AREA INDEX ,Paleontology ,Biosphere ,Forestry ,04 agricultural and veterinary sciences ,15. Life on land ,Seasonality ,medicine.disease ,MIXED HARDWOOD FOREST ,Geophysics ,Deciduous ,13. Climate action ,Space and Planetary Science ,Earth and Environmental Sciences ,Climatology ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,Ecosystem respiration ,INTERANNUAL VARIABILITY ,EDDY COVARIANCE DATA ,PRIMARY PRODUCTIVITY - Abstract
International audience; [1] Our current understanding of terrestrial carbon processes is represented in various models used to integrate and scale measurements of CO 2 exchange from remote sensing and other spatiotemporal data. Yet assessments are rarely conducted to determine how well models simulate carbon processes across vegetation types and environmental conditions. Using standardized data from the North American Carbon Program we compare observed and simulated monthly CO 2 exchange from 44 eddy covariance flux towers in North America and 22 terrestrial biosphere models. The analysis period spans ∼220 site-years, 10 biomes, and includes two large-scale drought events, providing a natural experiment to evaluate model skill as a function of drought and seasonality. We evaluate models' ability to simulate the seasonal cycle of CO 2 exchange using multiple model skill metrics and analyze links between model characteristics, site history, and model skill. Overall model performance was poor; the difference between observations and simulations was ∼10 times observational uncertainty, with forested ecosystems better predicted than nonforested. Model-data agreement was highest in summer and in temperate evergreen forests. In contrast, model performance declined in spring and fall, especially in ecosystems with large deciduous components, and in dry periods during the growing season. Models used across multiple biomes and sites, the mean model ensemble, and a model using assimilated parameter values showed high consistency with observations. Models with the highest skill across all biomes all used prescribed canopy phenology, calculated NEE as the difference between GPP and ecosystem respiration, and did not use a daily time step.
- Published
- 2010