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Title: A model-data intercomparison of CO2 exchange across North America: Results from the North American Carbon Program site synthesis

Journal Article · · Journal of Geophysical Research
OSTI ID:1015736
 [1];  [1];  [2];  [3];  [4];  [5];  [5];  [6];  [7];  [8];  [9]
  1. Clark University
  2. University of Colorado, Boulder
  3. University of Montana, Missoula
  4. McMaster University
  5. Colorado State University, Fort Collins
  6. Atmospheric Science and Technology Directorate, Saskatoo, SK, Canada
  7. University of British Columbia, Vancouver
  8. ORNL
  9. Oak Ridge National Laboratory (ORNL)

Our current understanding of terrestrial carbon processes is represented in various models used to integrate and scale measurements of CO2 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 CO2 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 CO2 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.

Research Organization:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge National Environmental Research Park
Sponsoring Organization:
USDOE
DOE Contract Number:
DE-AC05-00OR22725
OSTI ID:
1015736
Journal Information:
Journal of Geophysical Research, Vol. 115
Country of Publication:
United States
Language:
English