The role of surface energy balance complexity in land surface models' sensitivity to increasing carbon dioxide

Climate Dynamics

Volumn 19, Issue 7, 2002, Pages 609-618

  Pitman, A ^a,b   McAvaney, B ^a,b  

^a MACQUARIE UNIVERSITY   (Australia)

^b BUREAU OF METEOROLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CARBON DIOXIDE ENRICHMENT; CLIMATE MODELING; ENERGY BALANCE; LAND SURFACE; SENSITIVITY ANALYSIS; SURFACE ENERGY;

EID: 0036737351     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-002-0250-z     Document Type: Article

References (29)

1. Contrasting physiological structural vegetation feedbacks in climate change simulations
2. Cabauw experimental results from the Project for intercomparison of Land-surface Parametrization Schemes
3. Sensitivity of the climate response of an atmospheric general circulation model to changes in convective parametrization and horizontal resolution
4. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model
5. Uncertainties linked to land surface processes in climate change simulations
6. Efficient prediction of ground surface temperature and moisture, with inclusion of a layer of vegetation
7. Surface energy balance complexity in GCM land surface models
8. Surface energy balance complexity in GCM land surface models, Part II: Coupled simulations
9. The pilot phase of the global soil wetness project
10. A catchment-based approach to modeling land surface processes in a general circulation model 2. Parameter estimation and model demonstration
11. AMIP: The Atmospheric Model Intercomparison Project
12. Characterising GCM land surface schemes to understand their responses to climate change
13. The project for intercomparison of land-surface parametrization schemes (PILPS): 1992 to 1995
14. Climate change, 2001, the scientific basis
15. The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field
16. A catchment-based approach to modeling land surface processes in a general circulation model. 1. Model structure
17. Statistical field significance and its determination by Monte Carlo techniques
18. Climate and the ocean circulation: 1 The atmospheric circulation and the hydrology of the earth's surface
19. The dependence of the climate sensitivity on convective parametrization: Statistical evaluation
20. Model Evaluation
21. Climate response to increasing levels of greenhouse gases and sulphate aerosols
22. Key results and implications from Phase 1(c) of the Project for Intercomparison of Land-surface Parametrization Schemes
23. Comparing three land surface schemes used in GCMs
24. Numerical model-reality intercomparison tests using small-sample statistics
25. Regional validation of means, variances, and spatial patterns in general circulation model control runs
26. Simulations of a boreal grassland hydrology at Valdai, Russia: PILPS Phase 2(d)
27. Modelling the exchanges of energy, water and carbon between continents and the atmosphere
28. Statistical comparison of spatial fields in model validation, permutation and predictability experiments
29. A land-surface hydrology parametrization with subgrid variability for general circulation models