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Title: Divergent predictions of carbon storage between two global land models: Attribution of the causes through traceability analysis

Journal Article · · Earth System Dynamics (Online)
 [1];  [2];  [3];  [4];  [4];  [5];  [6]
  1. Univ. of Oklahoma, Norman, OK (United States); Pacific Northwest National Lab., College Park, MD (United States)
  2. Univ. of Oklahoma, Norman, OK (United States); East China Normal Univ., Shanghai (China)
  3. Univ. of Oklahoma, Norman, OK (United States); Pacific Forestry Centre, Victoria, BC (Canada)
  4. Pacific Northwest National Lab., College Park, MD (United States)
  5. CSIRO Ocean and Atmosphere Flagship, Aspendale, VIC (Australia)
  6. Univ. of Oklahoma, Norman, OK (United States)
+ Show Author Affiliations

Representations of the terrestrial carbon cycle in land models are becoming increasingly complex. It is crucial to develop approaches for critical assessment of the complex model properties in order to understand key factors contributing to models' performance. In this study, we applied a traceability analysis which decomposes carbon cycle models into traceable components, for two global land models (CABLE and CLM-CASA') to diagnose the causes of their differences in simulating ecosystem carbon storage capacity. Driven with similar forcing data, CLM-CASA' predicted ~ 31 % larger carbon storage capacity than CABLE. Since ecosystem carbon storage capacity is a product of net primary productivity (NPP) and ecosystem residence time (τE), the predicted difference in the storage capacity between the two models results from differences in either NPP or τE or both. Our analysis showed that CLM-CASA' simulated 37 % higher NPP than CABLE. On the other hand, τE, which was a function of the baseline carbon residence time (τ'E) and environmental effect on carbon residence time, was on average 11 years longer in CABLE than CLM-CASA'. This difference in τE was mainly caused by longer τ'E of woody biomass (23 vs. 14 years in CLM-CASA'), and higher proportion of NPP allocated to woody biomass (23 vs. 16 %). Differences in environmental effects on carbon residence times had smaller influences on differences in ecosystem carbon storage capacities compared to differences in NPP and τ'E. Finally and overall, the traceability analysis showed that the major causes of different carbon storage estimations were found to be parameters setting related to carbon input and baseline carbon residence times between two models.

Research Organization:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Pacific Northwest National Laboratory (PNNL), College Park, MD (United States); Univ. of Oklahoma, Norman, OK (United States)
Sponsoring Organization:
USDOE Office of Science (SC); USDOE Laboratory Directed Research and Development (LDRD) Program; National Science Foundation (NSF)
Contributing Organization:
East China Normal Univ. (ECNU), Shanghai (China); Pacific Forestry Centre, Victoria, BC (Canada); Commonwealth Scientific and Industrial Research Organization (CSIRO), Aspendale, VIC (Australia)
Grant/Contract Number:
AC05-76RL01830; SC0008270; DEB 0743778; DEB 0840964; EPS 0919466; EF 1137293
OSTI ID:
1256395
Alternate ID(s):
OSTI ID: 1330583
Report Number(s):
PNNL-SA-115823
Journal Information:
Earth System Dynamics (Online), Vol. 7, Issue 3; ISSN 2190-4987
Publisher:
European Geosciences UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

References (35)

Carbon emission limits required to satisfy future representative concentration pathways of greenhouse gases: ALLOWABLE FUTURE CARBON EMISSIONS journal March 2011
A new global 1-km dataset of percentage tree cover derived from remote sensing journal February 2000
Natural Variability in a Stable, 1000-Yr Global Coupled Climate–Carbon Cycle Simulation journal July 2006
Toward an allocation scheme for global terrestrial carbon models journal October 1999
Climate–Carbon Cycle Feedback Analysis: Results from the C 4 MIP Model Intercomparison journal July 2006
Climate change under aggressive mitigation: the ENSEMBLES multi-model experiment journal February 2011
Vegetation Types Alter Soil Respiration and Its Temperature Sensitivity at the Field Scale in an Estuary Wetland journal March 2014
Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters: EFFECTS OF IRRIGATION OVER CONUS journal September 2013
Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States journal June 2014
Development of a global land cover characteristics database and IGBP DISCover from 1 km AVHRR data journal January 2000
Terrestrial Carbon–Cycle Feedback to Climate Warming journal December 2007
Dynamic disequilibrium of the terrestrial carbon cycle under global change journal February 2011
Terrestrial carbon-cycle feedback to climate warming: experimental evidence on plant regulation and impacts of biofuel feedstock harvest journal February 2009
Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models journal April 2009
ELEVATED CO 2 DIFFERENTIATES ECOSYSTEM CARBON PROCESSES: DECONVOLUTION ANALYSIS OF DUKE FOREST FACE DATA journal August 2001
A framework for benchmarking land models journal January 2012
Empirical estimates to reduce modeling uncertainties of soil organic carbon in permafrost regions: a review of recent progress and remaining challenges journal July 2013
Improvements to the Community Land Model and their impact on the hydrological cycle: COMMUNITY LAND MODEL HYDROLOGY journal March 2008
Comparing the Performance of Three Land Models in Global C Cycle Simulations: A Detailed Structural Analysis journal April 2016
Global and Regional Variability and Change in Terrestrial Ecosystems Net Primary Production and NDVI: A Model-Data Comparison journal February 2016
Nitrous Oxide Emissions from Cropland: a Procedure for Calibrating the DayCent Biogeochemical Model Using Inverse Modelling journal August 2013
Recent trends and drivers of regional sources and sinks of carbon dioxide journal January 2015
An Overview of CMIP5 and the Experiment Design journal April 2012
An Improved Canopy Integration Scheme for a Land Surface Model with Prognostic Canopy Structure journal August 2007
Carbon-nitrogen interactions regulate climate-carbon cycle feedbacks: results from an atmosphere-ocean general circulation model journal January 2009
Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations journal January 2013
Changes in soil organic carbon storage predicted by Earth system models during the 21st century journal January 2014
A global model of carbon, nitrogen and phosphorus cycles for the terrestrial biosphere journal January 2010
Diagnosing errors in a land surface model (CABLE) in the time and frequency domains journal January 2011
Estimation of carbon transfer coefficients using Duke Forest free-air CO2 enrichment data journal July 2002
A semi-analytical solution to accelerate spin-up of a coupled carbon and nitrogen land model to steady state journal January 2012
Traceable components of terrestrial carbon storage capacity in biogeochemical models journal March 2013
Evaluation of 11 terrestrial carbon-nitrogen cycle models against observations from two temperate Free-Air CO 2 Enrichment studies journal January 2014
Global pattern of temperature sensitivity of soil heterotrophic respiration (Q 10 ) and its implications for carbon-climate feedback : GLOBAL PATTERN OF TEMPERATURE SENSITIVITY journal May 2009
Uncertainties in carbon residence time and NPP-driven carbon uptake in terrestrial ecosystems of the conterminous USA: a Bayesian approach journal January 2012

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