Continental-scale multiobservation calibration and assessment of Colorado State University Unified Land Model by application of Moderate Resolution Imaging Spectroradiometer (MODIS) surface albedo

Journal of Geophysical Research: Biogeosciences

Volumn 112, Issue 2, 2007, Pages

  Matsui, Toshihisa ^a,b   Beltrán Przekurat, Adriana ^c   Pielke Sr , Roger A ^c   Niyogi, Dev ^d   Coughenour, Michael B ^e  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b NASA GODDARD SPACE FLIGHT CENTER   (United States)

^c UNIVERSITY OF COLORADO   (United States)

^d PURDUE UNIVERSITY   (United States)

^e Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALBEDO; CALIBRATION; ENERGY BUDGET; LAND COVER; LAND INFORMATION SYSTEM; LAND SURFACE; MODIS; SURFACE ENERGY; VEGETATION DYNAMICS;

EID: 34548303429     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2006JG000229     Document Type: Article

References (52)

1. Baginska, B., W. Milne-Holme, and P. S. Cornish (2003), Modelling nutrient transport in Currency Creek, NSW, with AnnAGNPS and PEST, Environ. Modell. Software, 18, 801-808.
2. Baldocchi, D. D., et al. (2001), FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor and energy flux densities, Bull. Am. Meteorol. Soc., 82, 2415-2434.
3. Bonan, G. B., K. W. Oleson, M. Vertenstein, and S. Levis (2002), The land surface climatology of the Community Land Model coupled to the NCAR Community Climate Model, J. Clim., 15, 3123-3149.
4. Chen, D.-X., and M. B. Coughenour (1994), GEMTM: A general model for energy and mass transfer of land surfaces and its application at the FIFE sites, Agric. For. Meteorol., 68, 145-171.
5. Cosgrove, B. A., et al. (2003), Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project, J. Geophys. Res., 108(D22), 8842, doi:10.1029/2002JD003118.
6. Dickinson, R. E. (1983), Land surface processes and climate-surface albedos and energy balance, Adv. Geophys., 25, 305-353.
7. Dickinson, R. E., P. J. Sellers, and D. S. Kimes (1987), Albedo of homogeneous semi-infinite canopies: Comparison of two-stream analytic and numerical solutions, J. Geophys. Res., 92, 4282-4286.
8. Dickinson, R. E., A. Henderson-Sellers, and P. J. Kennedy (1993), Biosphere Atmosphere Transfer Scheme (BATS) Version le as coupled to the NCAR Community Climate Model, NCAR/TN-387+STR, 72 pp., Natl. Cent. for Atmos. Res., Boulder, Colo.
9. Doherty, J. (2004), PEST Model-Independent Parameter Estimation User Manual, 5th ed., Watermark Numerical Computing, Corinda, Queensland, Australia. (Available at http://www.sspa.com/pest/pestsoft.html)
10. 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. Meteorol., 28, 833-855.
11. Duan, Q., V. K. Gupta, and S. Sorooshian (1993), Shuffled complex evolution approach for effective and efficient global minimization, J. Optim. Theor. Appl., 76, 501-521.
12. Goudriaan, J. (1977), Crop Micrometeorology: A Simulation Study, 249 pp., Cent. for Agric. Publ. and Doc., Wageningen, Netherlands.
13. Gupta, H. V., L. A. Bastidas, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang (1999), Parameter estimation of a land surface scheme using multicriteria methods, J. Geophys. Res., 104, 19,491-19,504.
14. Hansen, M. C., R. S. DeFries, J. R. G. Townshend, and R. Sohlberg (2000), Global land cover classification at 1 km spatial resolution using a classification tree approach, Int. J. Remote Sens., 21, 1331-1364.
15. Henderson-Sellers, A., A. J. Pitman, P. Irannejad, and K. McGuffie (2002), Land surface simulations improve atmospheric modeling, Eos Trans. AGU, 83, 145152.
16. Idso, S. B., R. D. Jackson, R. J. Reginato, B. A. Kimball, and F. S. Nakayama (1975), The dependence of bare soil albedo on soil water content, J. Appl. Meteorol., 14, 109-113.
17. Jensen, J. R. (2000), Remote Sensing of the Environment: An Earth Resource Perspective, 544 pp., Prentice-Hall, Upper Saddle River, N. J.
18. Jin, Y., C. B. Schaaf, F. Gai, X. Li, A. Strahler, W. Lucht, and S. Liang (2003), Consistency of MODIS surface BRDF/Albedo retrievals: 2. Validation, J. Geophys. Res., 108(D5), 4159, doi:10.1029/ 2002JD002804.
19. Joseph, J. H., W. J. Wiscombe, and J. A. Weinman (1976), The delta-Eddington approximation for radiative transfer, J. Atmos. Sci., 33, 2452-2459.
20. Justice, C. O., J. R. G. Townshend, E. F. Vermote, E. Masuoka, R. E. Wolfe, N. Saleous, D. P. Roy, and J. T. Morisette (2002), An overview of MODIS land data processing and product status, Remote Sens. Environ., 83, 3-15.
21. Knyazikhin, Y., J. V. Martonchik, R. B. Myneni, M. Verstraete, B. Pinty, and N. Gobron (1998), Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data, J. Geophys. Res., 103, 32,257-32,274.
22. Lee, T. J., R. A. Pielke, and P. W. Mielke Jr. (1995), Modeling the clear-sky surface energy budget during FIFE87, J. Geophys. Res., 100, 25,585-25,593.
23. Liu, Y. B., O. Batelaan, F. D. Smedt, J. Poórová, and L. Velcická (2005), Automated calibration applied to a GIS-based flood simulation model using PEST, in Floods, From Defense to Management, edited by J. Van Alphen et al., pp. 317-326, Taylor and Francis, Philadelphia, Pa.
24. Matsui, T. (2006), Aerosol effects on cloud-precipitation and land-surface processes, Ph.D. dissertation, 262 pp., Dep. of Atmos. Sci., Colo. State Univ., Fort Collins.
25. Matsui, T., V. Lakshmi, and E. E. Small (2005), The effects of satellite-derived vegetation cover variability on simulated land-atmosphere interactions in the NAMS, J. Clim., 18, 21-40.
26. Moody, E. G., M. D. King, S. Platnick, C. B. Schaaf, and F. Gao (2005), Spatially complete global spectral surface albedos: Value-added datasets derived from Terra MODIS land products, IEEE Trans. Geosci. Remote Sens., 43, 144-158.
27. Morisette, J. T., J. L. Privette, and C. O. Justice (2002), A framework for the validation of MODIS land products, Remote Sens. Environ., 83, 77-96.
28. Myneni, R. B., et al. (2002), Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data, Remote Sens. Environ., 83, 214-231.
29. Norman, J. M., and P. G. Jarvis (1975), Photosynthesis in Sitka spruce: Radiation penetration theory and a test case, J. Appl. Ecol., 12, 839-878.
30. Niyogi, D., S. Raman, and K. Alapaty (1999), Uncertainty in specification of surface characteristics, Part 2 - Hierarchy of interaction explicit statistical analysis, Boundary Layer Meteorol., 91, 341-366.
31. Oleson, K. W., G. B. Bonan, C. Schaaf, F. Gao, Y. Jin, and A. Strahler (2003), Assessment of global climate model land surface albedo using MODIS data, Geophys. Res. Lett., 30(8), 1443, doi:10.1029/ 2002GL016749.
32. Oleson, K. W., et al. (2004), Technical description of the Community Land Model (CLM), NCAR/TN-461+STR, Cent. for Atmos. Res., Boulder, Colo.
33. Peters-Lidard, C. D., S. Kumar, Y. Tian, J. L. Eastman, and P. Houser (2004), Global urban-scale land-atmosphere modeling with the land information system, paper presented at Symposium on Planning, Nowcasting, and Forecasting in the Urban Zone, Am. Meteorol. Soc., Seattle, Wash.
34. Pielke, R. A., Sr. (2001), Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall, Rev. Geophys., 39, 151-177.
35. Pitman, A. J. (2003), The evolution of, and revolution in, land surface schemes designed for climate models, Int. J. Climatol., 23, 479-510.
36. Pitman, A. J., et al. (1999), Key results and implications from Phase 1 (c) of the Project for Intercomparison of Land-surface Parameterization Schemes, Clim. Dyn., 15, 673-684.
37. Reichstein, M., et al. (2003), Modeling temporal and large-scale spatial variability of soil respiration from soil water availability, temperature and vegetation productivity indices, Global Biogeochem. Cycles, 17(4), 1104, doi:10.1029/2003GB002035.
38. Reynolds, C. A., T. J. Jackson, and W. J. Rawls (1999), Estimating available water content by linking the FAO soil map of the world with global soil profile databases and pedo-transfer functions, Eos Trans. AGU, 80(17), Spring Meet. Suppl., Abstract H41D-12.
39. Schaaf, C. B., et al. (2002), First operational BRDF, albedo and nadir reflectance products from MODIS, Remote Sens. Environ., 83, 135-148.
40. Sellers, P. J. (1985), Canopy reflectance, photosynthesis and transpiration, J. Remote Sens., 6, 1335-1372.
41. Sellers, P. J., D. A. Randall, G. J. Collatz, J. A. Berry, C. B. Field, D. A. Dazlich, C. Zhang, G. D. Collelo, and L. Bounoua (1996), A revised land surface parameterization (SiB2) for atmospheric GCMs. Part I: Model formulation, J. Clim., 9, 676-705.
42. Tian, Y., R. E. Dickinson, L. Zhou, R. B. Myneni, M. Friedl, C. B. Schaaf, M. Carroll, and F. Gao (2004), Land boundary conditions from MODIS data and consequences for the albedo of a climate model, Geophys. Res. Lett., 31, L05504, doi:10.1029/2003GL019104.
43. Vrugt, J. A., H. V. Gupta, L. A. Bastidas, W. Bouten, and S. Sorooshian (2003), Effective and efficient algorithm for multiobjective optimization of hydrologic models, Water Resour. Res., 39(8), 1214, doi:10.1029/2002WR001746.
44. Walko, R. L., et al. (2000), Coupled atmosphere-biophysics-hydrology models for environmental modeling, Appl. Meteorol., 39, 931-944.
45. Wan, Z., Y. Zhang, Q. Zhang, and Z.-L. Li (2002), Validation of the land-surface temperature products retrieved from Terra Moderate Resolution Imaging Spectroradiometer data, Remote Sens. Environ., 83, 163-180.
46. Wang, Y.-P., R. Leuning, H. A. Cleugh, and P. A. Coppin (2001), Parameter estimation in surface exchange models using nonlinear inversion: How many parameters can we estimate and which measurements are most useful?, Global Change Biol., 7, 495-510.
47. Wang, Z., X. Zeng, M. Barlage, R. E. Dickinson, F. Gao, and C. B. Schaaf (2004), Using MODIS BRDF and albedo data to evaluate global model land surface albedo, J. Hydrometeorol., 5, 3-14.
48. Wood, E. F., et al. (1998), The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS) Phase 2C Red-Arkansas River Basin experiment: 1. Experiment description and summary intercomparison, Global Planet. Change, 19, 115-135.
49. Xiong, X., K. Chiang, J. Esposito, B. Guenther, and W. Barnes (2003), MODIS on-orbit calibration and characterization, Metrologia, 40, S89-S92, PII:S0026-1394 (03)56883-9.
50. Xue, Y., P. J. Sellers, J. L. Kinter, and J. Shukla (1991), A simplified biosphere model for global climate studies, J. Clim., 4, 345-364.
51. Yang, W. Z., et al. (2006), MODIS leaf area index products: From validation to algorithm improvement, IEEE Trans. Geosci. Remote Sens., 44, 1885-1898.
52. Zhou, L., et al. (2003), Comparison of seasonal and spatial variations of albedos from Moderate-Resolution Imaging Spectroradiometer (MODIS) and Common Land Model, J. Geophys. Res., 108(D15), 4488, doi:10.1029/2002JD003326.