Influence of leaf area index prescriptions on simulations of heat, moisture, and carbon fluxes

Journal of Hydrometeorology

Volumn 15, Issue 1, 2014, Pages 489-503

  Kala, Jatin ^a   Decker, Mark ^a   Exbrayat, Jean François ^a   Pitman, Andy J ^a   Carouge, Claire ^a   Evans, Jason P ^a   Abramowitz, Gab ^a   Mocko, David ^b  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

Author keywords

Carbon cycle; Fluxes; Hydrometeorology; Surface fluxes

Indexed keywords

EID: 84894089299     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-13-063.1     Document Type: Article

References (51)

1. Abramowitz, G., and H. Gupta, 2008: Toward a model space and model independence metric. Geophys. Res. Lett., 35, L05705, doi:10.1029/2007GL032834.
2. Avila, F. B., A. J. Pitman, M. G. Donat, L. V. Alexander, and G. Abramowitz, 2012: Climate model simulated changes in temperature extremes due to land cover change. J. Geophys. Res., 117, D04108, doi:10.1029/2011JD016382.
3. Barr, A. G., T. Black, E. Hogg, N. Kljun, K. Morgenstern, and Z. Nesic, 2004: Inter-annual variability in the leaf area index of a boreal aspen-hazelnut forest in relation to net ecosystem production. Agric. For. Meteor., 126, 237-255, doi:10.1016/ j.agrformet.2004.06.011.
4. Bonan, G. B., D. Pollard, and S. L. Thompson, 1993: Influence of subgrid-scale heterogeneity in leaf area index, stomatal resistance, and soil moisture on grid-scale land- atmosphere interactions. J. Climate, 6, 1882-1897, doi:10.1175/ 1520-0442(1993)006,1882:IOSSHI.2.0.CO;2.
5. Bonan, G. B., S. Levis, S. Sitch, M. Vertenstein, and K. W. Oleson, 2003: A dynamic global vegetation model for use with climate models: Concepts and description of simulated vegetation dynamics. Global Change Biol., 9, 1543-1566, doi:10.1046/ j.1365-2486.2003.00681.x.
6. Buermann,W., J.Dong, X. Zeng,R.B.Myneni, andR.E.Dickinson, 2001: Evaluation of the utility of satellite-based vegetation leaf area index data for climate simulations. J. Climate, 14, 3536-3550, doi:10.1175/1520-0442(2001)014,3536:EOTUOS.2.0.CO;2.
7. Chase, T. N., R. A. Pielke, T. G. F. Kittel, R. Nemani, and S. W. Running, 1996: Sensitivity of a general circulation model to global changes in leaf area index. J. Geophys. Res., 101, 7393- 7408, doi:10.1029/95JD02417.
8. Cruz, F. T., A. J. Pitman, and Y.-P. Wang, 2010: Can the stomatal response to higher atmospheric carbon dioxide explain the unusual temperatures during the 2002 Murray-Darling Basin drought? J. Geophys. Res., 115, D02101, doi:10.1029/ 2009JD012767.
9. Decker, M., A. J. Pitman, and J. P. Evans, 2013: Groundwater constraints on simulated transpiration variability over southeastern Australian forests. J. Hydrometeor., 14, 543-559, doi:10.1175/JHM-D-12-058.1.
10. Dickinson, R. E., M. Shaikh, R. Bryant, and L. Graumlich, 1998: Interactive canopies for a climate model. J. Climate, 11, 2823-2836, doi:10.1175/1520-0442(1998)011,2823:ICFACM.2.0.CO;2.
11. Dirmeyer, P. A., X. Gao, M. Zhao, Z. Guo, T. Oki, and N. Hanasaki, 2006: Supplement to GSWP-2: Details of the forcing data. Bull. Amer. Meteor. Soc., 87 (Suppl.), doi:10.1175/ BAMS-87-10-Dirmeyer.
12. Dorman, J. L., and P. J. Sellers, 1989: A global climatology of albedo, roughness length and stomatal resistance for atmospheric general circulation models as represented by the simple biosphere model (SiB). J. Appl. Meteor., 28, 833-855, doi:10.1175/1520-0450(1989)028,0833:AGCOAR.2.0.CO;2.
13. Duursma, R., and Coauthors, 2009: Contributions of climate, leaf area index and leaf physiology to variation in gross primary production of six coniferous forests across Europe: A model-based analysis. Tree Physiol., 29, 621-639, doi:10.1093/treephys/tpp010.
14. Exbrayat, J.-F., A. J. Pitman, G. Abramowitz, and Y.-P. Wang, 2013: Sensitivity of net ecosystem exchange and heterotrophic respiration to parameterization uncertainty. J. Geophys. Res. Atmos., 118, 1640-1651, doi:10.1029/2012JD018122.
15. Guillevic, P., R. D. Koster, M. J. Suarez, L. Bounoua, G. J. Collatz, S. O. Los, and S. P. P. Mahanama, 2002: Influence of the interannual variability of vegetation on the surface energy balance-Aglobal sensitivity study. J. Hydrometeor., 3, 617-629, doi:10.1175/1525-7541(2002)003,0617:IOTIVO.2.0.CO;2.
16. Haverd, V., and Coauthors, 2013:Multiple observation types reduce uncertainty in Australia's terrestrial carbon and water cycles. Biogeosciences, 10, 2011-2040, doi:10.5194/bg-10-2011-2013.
17. Houldcroft, C. J., W. M. F. Grey, M. Barnsley, C. M. Taylor, S. O. Los, and P. R. J. North, 2009: New vegetation albedo parameters and global fields of soil background albedo derived from MODIS for use in a climate model. J. Hydrometeor., 10, 183- 198, doi:10.1175/2008JHM1021.1.
18. Jones, D., W. Wang, and R. Fawcett, 2009: High-quality spatial climate data-sets for Australia. Aust. Meteor. Mag., 58, 233-248.
19. Jung, M., M. Reichstein, and A. Bondeau, 2009: Towards global empirical upscaling of fluxnet eddy covariance observations: Validation of a model tree ensemble approach using a biosphere model. Biogeosciences, 6, 2001-2013, doi:10.5194/ bg-6-2001-2009.
20. 2 exchange with the terrestrial biosphere and oceans from 1978 to 2000: Observations and carbon cycle implications. A History of Atmospheric CO2 and Its Effects on Plants, Animals, and Ecosystems, J. R. Ehleringer, T. E. Cerling, and M. D. Dearing, Eds., Springer Verlag, 83-113.
21. Keith, H., E. van Gorsel, K. Jacobsen, and H. Cleugh, 2012: Dynamics of carbon exchange in a eucalyptus forest in response to interacting disturbance factors. Agric. For. Meteor., 153, 67- 81, doi:10.1016/j.agrformet.2011.07.019.
22. Kowalczyk, E. A., Y. P. Wang, R. M. Law, H. L. Davies, J. L. McGregor, and G. Abramowitz, 2006: The CSIRO Atmosphere Biosphere Land Exchange (CABLE) model for use in climate models and as an offline model. CSIRO Marine and Atmospheric Research Paper 013, 37 pp. [Available online at www.cmar.csiro.au/e-print/open/kowalczykea_2006a.pdf.]
23. Kumar, S. V., and Coauthors, 2006: Land information system: An interoperable framework for high resolution land surface modeling. Environ.Modell. Software, 21, 1402-1415, doi:10.1016/ j.envsoft.2005.07.004.
24. Kumar, S. V., C. D. Peters-Lidard, J. L. Eastman, and W.-K. Tao, 2008: An integrated high-resolution hydrometeorological modeling testbed using LIS and WRF. Environ. Modell. Software, 23, 169-181, doi:10.1016/j.envsoft.2007.05.012.
25. Li, L., Y. P. Wang, Q. Yu, B. Pak, D. Eamus, J. Yan, E. van Gorsel, and I. Baker, 2012: Improving the responses of the Australian community land surface model (CABLE) to seasonal drought. J. Geophys. Res., 117, G04002, doi:10.1029/2012JG002038.
26. Liu, Q., L. Gu, R. E. Dickinson, Y. Tian, L. Zhou, and W. M. Post, 2008: Assimilation of satellite reflectance data into a dynamical leaf model to infer seasonally varying leaf areas for climate and carbonmodels. J. Geophys. Res., 113, D19113, doi:10.1029/ 2007JD009645.
27. Lu, X., Y.-P. Wang, T. Ziehn, and Y. Dai, 2013: An efficient method for global parameter sensitivity analysis and its applications to the Australian community land surface model (CABLE). Agric. ForestMeteor., 182-183, 292-303, doi:10.1016/ j.agrformet.2013.04.003.
28. Mao, J., S. J. Phipps, A. J. Pitman, Y. P. Wang, G. Abramowitz, and B. Pak, 2011: The CSIRO Mk3L climate system model v1.0 coupled to the CABLE land surface scheme v1.4b: Evaluation of the control climatology. Geosci. Model Dev., 4, 1115-1131, doi:10.5194/gmd-4-1115-2011.
29. McColl, K. A., R. C. Pipunic, D. Ryu, and J. P. Walker, 2011: Validation of the MODIS LAI product in the Murrumbidgee catchment, Australia. Proc. 19th Int. Congress on Modelling and Simulation, Perth, Australia, Modelling and Simulation Society of Australia and New Zealand, 1973-1979. [Available online at http://www.mssanz.org.au/modsim2011/E4/mccoll.pdf.]
30. Parton, W., A. Haxeltine, P. Thornton, R. Anne, and M. Hartman, 1996: Ecosystem sensitivity to land-surface models and leaf area index. Global Planet. Change, 13, 89-98, doi:10.1016/ 0921-8181(95)00040-2.
31. Piao, S., P. Friedlingstein, P. Ciais, N. Viovy, and J. Demarty, 2007: Growing season extension and its impact on terrestrial carbon cycle in the Northern Hemisphere over the past 2 decades. Global Biogeochem. Cycles, 21, GB3018, doi:10.1029/ 2006GB002888.
32. Pielke, R.A., T. J. Lee, J.H. Copeland, J. L. Eastman, C. L. Ziegler, and C. A. Finley, 1997:Use ofUSGS-provided data to improve weather and climate simulations. Ecol. Appl., 7, 3-21.
33. Pitman, A. J., 2003: The evolution of, and revolution in, land surface schemes designed for climate models. Int. J. Climatol., 23, 479-510, doi:10.1002/joc.893.
34. Pitman, A. J., M. Zhao, and C. E. Desborough, 1999: Investigating the sensitivity of a land surface scheme's simulation of soil wetness and evaporation to spatial and temporal leaf area index variability within the global soil wetness project. J. Meteor. Soc. Japan, 77, 281-290.
35. Pitman, A. J., F.B.Avila,G.Abramowitz, Y. P.Wang, S. J. Phipps, andN. de Noblet-Ducoudré, 2011: Importance of background climate in determining impact of land-cover change on regional climate. Nat. Climate Change, 1, 472-475, doi:10.1038/nclimate1294.
36. Puma, M. J., R. D. Koster, and B. I. Cook, 2013: Phenological versus meteorological controls on land-atmosphere water and carbon fluxes. J. Geophys.Res.Biogeosci., 118, 14-29, doi:10.1029/ 2012JG002088.
37. Raupach, M. R., 1994: Simplified expressions for vegetation roughness length and zero-plane displacement as functions of canopy height and area index. Bound.-Layer Meteor., 71, 211- 216, doi:10.1007/BF00709229.
38. Rienecker, M. M., and Coauthors, 2011: MERRA: NASA's Modern-Era Retrospective Analysis for Research and Applications. J. Climate, 24, 3624-3648, doi:10.1175/ JCLI-D-11-00015.1.
39. Risbey, J. S., M. J. Pook, P. C. McIntosh,M. C.Wheeler, and H. H. Hendon, 2009: On the remote drivers of rainfall variability in Australia. Mon. Wea. Rev., 137, 3233-3253, doi:10.1175/ 2009MWR2861.1.
40. Rodell, M., and Coauthors, 2004: The Global Land Data Assimilation System. Bull. Amer. Meteor. Soc., 85, 381-394, doi:10.1175/BAMS-85-3-381.
41. Saigusa, N., and Coauthors, 2008: Temporal and spatial variations in the seasonal patterns of CO2 flux in boreal, temperate, and tropical forests in East Asia. Agric. For. Meteor., 148, 700-713, doi:10.1016/j.agrformet.2007.12.006.
42. van den Hurk, B. J. J. M., P. Viterbo, and S. O. Los, 2003: Impact of leaf area index seasonality on the annual land surface evaporation in a global circulation model. J. Geophys. Res., 108, 4191, doi:10.1029/2002JD002846.
43. Verstraete, M., and R. Dickinson, 1986: Modeling surface processes in atmospheric general circulation models. Ann. Geophys., 4, 357-364.
44. Wang Y.-P., and R. Leuning, 1998: A two-leaf model for canopy conductance, photosynthesis and partitioning of available energy I: Model description and comparison with a multilayered model. Agric. For. Meteor., 91, 89-111, doi:10.1016/ S0168-1923(98)00061-6
45. Wang, Y.-P., E. Kowalczyk, R. Leuning, G. Abramowitz, M. R. Raupach, B. Pak, E. van Gorsel, and A. Luhar, 2011: Diagnosing errors in a land surface model (CABLE) in the time and frequency domains. J. Geophys. Res., 116, G01034, doi:10.1029/ 2010JG001385.
46. Wang, Y.-P., X. J. Lu, I. J. Wright, Y. J. Dai, P. J. Rayner, and P. B. Reich, 2012: Correlations among leaf traits provide a significant constraint on the estimate of global gross primary production. Geophys. Res. Lett., 39, L19405, doi:10.1029/2012GL053461.
47. White, M. A., and R. R. Nemani, 2003: Canopy duration has little influence on annual carbon storage in the deciduous broad leaf forest. Global Change Biol., 9, 967-972, doi:10.1046/ j.1365-2486.2003.00585.x.
48. Yuan, H., Y. Dai, Z. Xiao, D. Ji, and W. Shangguan, 2011: Reprocessing the MODIS leaf area index products for land surface and climate modelling. Remote Sens. Environ., 115, 1171-1187, doi:10.1016/j.rse.2011.01.001.
49. Zhang, H., L. Zhang, and B. Pak, 2011: Comparing surface energy, water and carbon cycle in dry and wet regions simulated by a land-surface model. Theor. Appl. Climatol., 104, 511-527, doi:10.1007/s00704-010-0364-x.
50. Zhang, H., B. Pak, Y. P. Wang, X. Zhou, Y. Zhang, and L. Zhang, 2013: Evaluating surface water cycle simulated by the Australian community land surface model (CABLE) across different spatial and temporal domains. J. Hydrometeor., 14, 1119-1138, doi:10.1175/JHM-D-12-0123.1.
51. Zhang, Q., Y. P. Wang, A. J. Pitman, and Y. J. Dai, 2011: Limitations of nitrogen and phosphorous on the terrestrial carbon uptake in the 20th century. Geophys. Res. Lett., 38, L22701, doi:10.1029/2011GL049244.