Using different hydrological variables to assess the impacts of atmospheric forcing errors on optimization and uncertainty analysis of the CHASM surface model at a cold catchment

Journal of Geophysical Research D: Atmospheres

Volumn 110, Issue 1, 2005, Pages 1-15

  Xia, Youlong ^a   Yang, Zong Liang ^b   Stoffa, Paul L ^b   Sen, Mrinal K ^b  

^a PRINCETON UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC FORCING; HYDROMETEOROLOGY; LAND SURFACE; PARAMETERIZATION;

EID: 17044412484     PISSN: 01480227     EISSN: None     Source Type: Journal    
DOI: 10.1029/2004JD005130     Document Type: Article

References (63)

1. Alapaty, K., S. Raman, and D. S. Niyogi (1997), Uncertainty in specification of surface characteristics: A study of prediction errors in the boundary layer, Boundary Layer Meteorol., 82, 473-500.
2. Bastidas, L. A., H. V. Gupta, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang (1999), Sensitivity analysis of a land surface scheme using multicriteria methods, J. Geophys. Res., 104(D16), 19,481-19,490.
3. Beringer, J., S. McIlwaine, A. H. Lynch, F. S. Chapin III, and G. B. Bonan (2002), The use of a reduced form model to assess the sensitivity of a land surface model to biotic surface parameters, Clim. Dyn., 19 455-466.
4. Bonan, G. B., D. Pollard, and S. L. Thompson (1993), Influence of subgridscale heterogeneity in leaf area index, stomatal resistance, and soil moisture on grid-scale land-atmosphere interactions, J. Clim., 6 1882-1897.
5. Bowling, L. C., et al. (2003), Simulation of high latitude hydrological processes in the Torne-Kalix basin: PILPS Phase 2 (e), 1, Experiment description and summary intercomparisons, Global Planet, Change, 38 1-30.
6. Brutsaert, W. H. (1975), On a derivable formula for long-wave radiation from clear skies, Water Resour. Res., 11, 742-744.
7. Brutsaert, W. H. (1982), Evaporation Into Atmosphere, 299 pp., Springer, New York.
8. Budyko, M. I. (1956), Heat balance of the Earth's surface (in Russian), Gidrometeoizlat, 255 pp.
9. Chen, T. H., et al. (1997), Cabauw experimental results from the Project for Intercomparison of Land-surface Parameterization Schemes, J. Clim., 10, 1194-1215.
10. Collins, D. C., and R. Avissar (1994), An evaluation with the Fourier amplitude sensitivity test (FAST) of which land-surface parameters are of greatest importance in atmospheric modeling, J. Clim., 7, 681-703.
11. Desborough, C. E. (1999), Surface energy balance complexity in GCM land surface models, Clim. Dyn., 15, 389-403.
12. Desborough, C. E., A. J. Pitman, and B. McAvaney (2001), Surface energy balance complexity in GCM land surface models, part II: Coupled simulations, Clim. Dyn., 17, 615-626.
13. Fedorov, S. F. (1977), A study of the components of the water balance in forest zone of the European part of the USSR (in Russian), Gidrometeoizdat, 264 pp.
14. Franks, S. W., and K. J. Beven (1997), Bayesian estimation of uncertainty in land surface-atmosphere flux predictions, J. Geophys. Res., 102, 23,991-23,999.
15. Groisman, P. Y., V. V. Koknaeva, T. A. Belokryloya, and T. R. Karl (1991), Overcoming biases of precipitation measurement: A history of USSR experience, Bull. Am. Meteorol. Soc., 11, 1725-1732.
16. Groisman, P. Y., D. R. Easterling, R. G. Quayle, and V. S. Golubev (1996), Reducing biases in estimates of precipitation over the United States: Phases 3 adjustments, J. Geophys. Res., 101, 7185-7195.
17. Gupta, H. V., S. Sorooshian, and P. O. Yapo (1998), Towards improved calibration of hydrologic models: multiple and noncommensurable measures of information, Water Resour. Res., 34, 751-763.
18. Gupta, H. V., L. A. Bastidas, S. Sorooshian, S. W. J. Shuttleworth, and Z.-L. Yang (1999), Parameter estimation of a land surface scheme using multicriteria methods, J. Geophys. Res., 104, 19,491-19,503.
19. Henderson-Sellers, A. (1993), A factorial assessment of the sensitivity of the BATS land-surface parameterization scheme, J. Clim., 6, 227-247.
20. Henderson-Sellers, A. (1996), Soil moisture simulation: Achievements of the RICE and PILPS intercomparison workshop and future directions, Global Planet. Change, 13, 99-115.
21. Henderson-Sellers, A., K. McGuffie, and A. Pitman (1996), The Project for Intercomparison of Land-surface Parameterization Schemes (PILPS): 1992-1995, Clim. Dyn., 12, 849-859.
22. Idso, S. B. (1981), A set of equations for full spectrum and 8-14 μm and 10.5-12.5 μm thermal radiation from cloudless skies, Water Resour. Res., 17, 295-304.
23. Ingber, L. (1989), Very fast simulated reannealing, Math. Comput. Model., 12, 967-993.
24. Jackson, C., Y. Xia, M. K. Sen, and P. Stoffa (2003), Optimal parameter estimation and uncertainty analysis of a land surface model: A case study from Cabauw, Netherlands, J. Geophys. Res., 108(D18), 4583, doi:10.1029/2002JD002991.
25. Koster, R. D., and M. J. Suarez (1992), Modeling the land surface boundary in climate models as a composite of independent vegetation stands, J. Geophys. Res., 97, 2697-2715.
26. Leplastrier, M., A. J. Pitman, H. Gupta, and Y. Xia (2002), Exploring the relationship between complexity and performance in a land surface model using the multicriteria method, J. Geophys. Res., 107(D20), 4443, doi:10.1029/2001JD000931.
27. Lohmann, D., et al. (2004), Streamflow and water balance intercomparisons of four land-surface models in the North American Land Data Assimilation System project, J. Geophys. Res., 109, D07S91, doi:10.1029/2003JD003517.
28. Luo, L., et al. (2003), Effects of frozen soil on soil temperature, spring infiltration and runoff: Results from the PILPS 2 (d) experiment at Valdai, Russia, J. Hydrometeorol., 4, 334-351.
29. Lynch, A. H., S. McIlwaine, J. Beringer, and G. Bonan (2001), An investigation of the sensitivity of a land surface model to climate change using a reduced form model, Clim. Dyn., 17, 643-652.
30. Manabe, S. (1969), Climate and the ocean circulation: 1, The atmospheric circulation and the hydrology of the earth's surface, Mon. Weather Rev., 97, 739-805.
31. Margulis, S. A., and D. Entekhabi (2001), Feedback between the landsurface energy balance and atmospheric boundary layer diagnosed through a model and its adjoint, J. Hydrometeorol., 2, 599-619.
32. Metropolis, N., A. Rosenbluth, M. Rosenbluth, A. Teller, and E. Teller (1953), Equation of state calculations by fast computing machines, J. Chem. Phys., 21, 1087-1092.
33. Milly, P. C. D., and K. A. Dunne (2002a), Macroscale water fluxes: 1. Quantifying errors in the estimation of basin mean precipitation, Water Resour. Res., 38(10), 1205, doi:10.1029/2001WR000759.
34. Milly, P. C. D., and K. A. Dunne (2002b), Macroscale water fluxes: 2. Water and energy supply control of their interannual variability, Water Resour. Res., 38(10), 1206, doi:10.1029/2001WR000760.
35. Milly, P. C. D., and A. B. Shmakin (2002a), Global modeling of land water and energy balances. part I: The land dynamics (LaD) model, J. Hydrometeorol., 3, 283-299.
36. Milly, P. C. D., and A. B. Shmakin (2002b), Global modeling of land water and energy balances. part II: Land-characteristic contributions to spatial variability, J. Hydrometeorol., 3, 301-310.
37. Monteith, J. L. (1973), Principles of Environmental Physics, 241 pp., Edward Arnold, London.
38. Niyogi, D. S., Y. K. Xue, and S. Raman (2002), Hydrological land surface response in a tropical regime and a midlatitudinal regime, J. Hydrometeorol., 3, 39-56.
39. Pan, M., et al. (2003), Snow process modeling in the North American Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent, J. Geophys. Res., 108(D22), 8850, doi:10.1029/ 2003JD003994.
40. Pitman, A. J. (1994), Assessing the sensitivity of a land-surface scheme to the parameter values using a single column model, J. Clim., 7, 1856-1869.
41. Pitman, A. J., et al. (1999), Key results and implications for phase 1(c) of the Project for Intercomparison of Land-surface Parameterization Schemes, Clim. Dyn., 15, 673-684.
42. Pitman, A. J., Y. Xia, M. Leplastrier, and A. Henderson-Sellers (2003), The CHAmeleon Surface Model (CHASM): Description and use with the PILPS Phase 2e forcing data, Global Planet, Change, 38, 121-135.
43. Robock, A., K. Y. Vinnikov, C. A. Schlosser, N. A. Speranskaya, and Y. Xue (1995), Use of midlatitude soil moisture and meteorological observations to validate soil moisture simulations with biosphere and bucket models, J. Clim., 8, 15-35.
44. Satterlund, D. R. (1979), An improved equation for estimating long-wave radiation from the atmosphere, Water. Resour. Res., 15, 1649-1650.
45. Schlosser, C. A., A. Robock, K. Y. Vinnikov, N. A. Speranskaya, and Y. Xue (1997), 18-year land surface hydrology model simulations for a midlatitude grassland catchment in Valdai, Russia, Mon. Weather Rev., 125, 3279-3296.
46. Schlosser, C. A., et al. (2000), Simulation of a boreal grassland hydrology at Valdai, Russia: PILPS phase 2(d), Mon. Weather Rev., 128 301-321.
47. Sellers, P. J., et al. (1989), Calibrating the simple biosphere model for Amazonian tropical forest using field and remote-sensing data. 1. Average calibration with field data, J. Appl. Meteorol., 28, 727-759.
48. Sellers, P. J., et al. (1997), Modeling the exchanges of energy, water and carbon between continents and the atmosphere, Science, 275, 502-509.
49. Sen, M. K., and P. L. Stoffa (1996), Bayesian inference, Gibbs' sampler and uncertainty estimation in geophysical inversion, Geophys. Prospect., 44, 313-350.
50. Shao, Y. P., and A. Henderson-Sellers (1998), Validation of soil moisture simulation in land surface parameterization schemes with HAPEX data, Global Planet. Change, 13, 11-46.
51. Skaggs, T. H., and D. A. Barry (1996), Sensitivity methods for time-continuous, spatially discrete groundwater contaminant transport models, Water Resour. Res., 32, 2409-2420.
52. Slater, A. G., et al. (2001), The representation of snow in land-surface scheme: Results from PILPS 2(d), J. Hydrometeorol., 2, 7-25.
53. Vinnikov, K. Y., A. Robock, N. A. Speranskaya, and C. A. Schlosser (1996), Scales of temporal and spatial variability of midlatitude soil moisture, J. Geophys. Res., 101, 7163-7174.
54. Wilson, M. F., A. Henderson-Sellers, R. E. Dickinson, and P. J. Kennedy (1987), Sensitivity of the Biosphere-Atmosphere Transfer Scheme (BATS) to the inclusion of variable soil characteristics, J. Clim. Appl. Meteorol., 26, 341-362.
55. Wood, E. F., et al. (1998), The project for intercomparison of land-surface parameterization schemes (PILPS) phase 2(c) Red-Arkansas River basin experiment: 1. Experiment description and summary intercomparisons, Global Planet. Change, 19, 115-135.
56. Xia, Y., A. J. Pitman, H. V. Gupta, M. Leplastrier, A. Henderson-Sellers, and L. A. Bastidas (2002), Calibrating a land surface model of varying complexity using multi-criteria methods and the Cabauw data set, J. Hydrometeorol., 3, 181-194.
57. Xia, Y., M. K. Sen, C. Jackson, and P. L. Stoffa (2004a), Multi-dataset study of optimal parameter and uncertainty estimation of a land surface model with Bayesian stochastic inversion and multicriteria method, J. Appl. Meteorol., 1477-1497.
58. Xia, Y., Z.-L. Yang, P. L. Stoffa, and M. K. Sen (2004b), Optimal parameter and uncertainty estimation of a land surface model: sensitivity to parameter ranges and model complexities, Adv. Atmos. Sci., in press.
59. Xia, Y., Z.-L. Yang, C. Jackson, P. L. Stoffa, and M. K. Sen (2004c), Impacts of data length on optimal parameter and uncertainty estimation of a land surface model, J. Geophys. Res., 109, D07101, doi:10.1029/2003JD004419.
60. Yang, D., et al. (1995), Accuracy of Tretyakov precipitation gauge: Results of WMO intercomparison, Hydrol. Processes, 9, 877-895.
61. Yang, D., B. E. Goodison, C. S. Benson, and S. Ishida (1998), Adjustment of daily precipitation at 10 climate stations in Alaska: Application of WMO intercomparison results, Water Resour. Res., 34, 241-256.
62. Yang, Z. L., R. E. Dickinson, A. Robock, and K. Y. Vinnikov (1997), On validation of the snow sub-model of the Biosphere-Atmosphere Transfer Scheme with Russian snow cover and meteorological observational data, J. Clim., 10, 353-373.
63. Zhang, H., A. Henderson-Sellers, A. J. Pitman, J. L. McGregor, C. E. Desborough, and J. J. Katzfey (2001), Limited-area model sensitivity to the complexity of representation of the land surface energy balance, J. Clim., 14, 3965-3986.