Reconciling simulated moisture fluxes resulting from alternate hydrologic model time steps and energy budget closure assumptions

Journal of Hydrometeorology

Volumn 7, Issue 3, 2006, Pages 355-370

  Haddeland, Ingjerd ^a   Lettenmaier, Dennis P ^b   Skaugen, Thomas ^a  

^a UNIVERSITY OF OSLO   (Norway)

^b University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATMOSPHERIC MOISTURE; COMPUTER SIMULATION; ENERGY BUDGET; HYDROLOGICAL MODELING; MOISTURE FLUX; PARAMETERIZATION;

NORTH AMERICA; UNITED STATES;

EID: 33746056494     PISSN: 1525755X     EISSN: None     Source Type: Journal    
DOI: 10.1175/JHM496.1     Document Type: Article

References (28)

1. Boone, A., and Coauthors, 2004: The Rhone-Aggregation Land Surface Scheme Intercomparison Project: An overview. J. Climate, 17, 187-208.
2. Bras, R. L., 1990: Hydrology: An Introduction to Hydrologic Science. Addison-Wesley, 643 pp.
3. Cosgrove, B. A., and Coauthors, 2003: Real-time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project. J. Geophys. Res., 108, 8842, doi:10.1029/2002JD003118.
4. Daly, C., R. P. Neilson, and D. L. Phillips, 1994: A statistical-topographic model for mapping climatological precipitation over mountainous terrain. J. Appl. Meteor., 33, 140-158.
5. Daly, C., G. H. Taylor, and W. P. Gibson, 1997: The PRISM approach to mapping precipitation and temperature. Preprints, 10th Conf. on Applied Climatology, Reno, NV, Amer. Meteor. Soc., 10-12.
6. Haddeland, I., B. V. Matheussen, and D. P. Lettemnaier, 2002: Influence of spatial resolution in a macroscale hydrologic model. Water Resour. Res., 38, 1124, doi:10.1029/2001WR000854.
7. Holman-Dodds, J. K., A. A. Bradley, and P. L. Sturdevant-Rees, 1999: Effect of temporal sampling of precipitation on hydrologic model calibration. J. Geophys. Res., 104 (D16), 19 645-19 654.
8. Kimball, J. S., S. W. Running, and R. Nemani, 1997: An improved method for estimating surface humidity from daily minimum temperature. Agric. For. Meteor., 85, 87-98.
9. Liang, X., D. P. Lettenmaier, E. F. Wood, and S. J. Burges, 1994: A simple hydrologically based model of land surface water and energy fluxes for general circulation models. J. Geophys. Res., 99 (D7), 14 415-14 428.
10. Liang, X., D. P. Lettenmaier, and E. F. Wood, 1996: One-dimensional statistical dynamic representation of subgrid spatial variability of precipitation in the two-layer variable infiltration capacity model. J. Geophys. Res., 101 (D16), 21 403-21 422.
11. Liu, Y., H. V. Gupta, S. Sorooshian, L. A. Bastidas, and W. J. Shuttleworth, 2005: Constraining land surface and atmospheric parameters of a locally coupled model using observational data. J. Hydrometeor., 6, 156-172.
12. Lohmann, D., E. Raschke, B. Nijssen, and D. P. Lettenmaier, 1998: Regional scale hydrology: I. Formulation of the VIC-2L model coupled to a routing model. Hydrol. Sci. J., 43, 131-141.
13. Lohmann, D., and Coauthors, 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.
14. Maurer, E. P., A. W. Wood, J. C. Adam, D. P. Lettenmaier, and B. Nijssen, 2002: A long-term hydrologically based data set of land surface fluxes and states for the conterminous United States. J. Climate, 15, 3237-3251.
15. Mitchell, K. E., and Coauthors, 2004: The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system. J. Geophys. Res., 109, D07S90, doi:10.1029/2003JD003823.
16. Nash, J. E., and J. V. Sutcliffe, 1970: River flow forecasting through conceptual models, 1, A discussion of principles. J. Hydrol., 10, 282-290.
17. Nijssen, B., R. Schnur, and D. P. Lettenmaier, 2001: Global retrospective estimation of soil moisture using the Variable Infiltration Capacity land surface model, 1980-93. J. Climate, 14, 1790-1808.
18. Nijssen, B., and Coauthors, 2003: Simulation of high latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e). 2: Comparison of model results with observations. Global Planet. Change, 38, 31-53.
19. Schaake, J. C., V. I. Koren, Q. Duan, K. Mitchell, and F. Chen, 1996: Simple water balance model for estimating runoff at different spatial and temporal scales. J. Geophys. Res., 101 (D3), 7461-7476.
20. Shuttleworth, W. J., 1993: Evaporation. Handbook of Hydrology, D. R. Maidment, Ed., McGraw Hill, 4. 2-4.18.
21. Storck, P., 2000: Trees, snow and flooding: An investigation of forest canopy effects on snow accumulation and melt at the plot and watershed scales in the Pacific Northwest. Water Resources Series Tech. Rep. 161, Department of Civil and Environmental Engineering, University of Washington, Seattle, WA, 176 pp.
22. Thornton, P. E., and S. W. Running, 1999: An improved algorithm for estimating incident daily solar radiation from measurements of temperature, humidity, and precipitation. Agric. For. Meteor., 93, 211-228.
23. Vérant, S., K. Laval, J. Polcher, and M. De Castro, 2004: Sensitivity of the continental hydrological cycle to the spatial resolution over the Iberian Peninsula. J. Hydrometeor., 5, 267-285.
24. Vrugt, J. A., H. V. Gupta, W. Bouten, and S. Sorooshian, 2003: A shuffled complex evolution metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters. Water Resour. Res., 39, 1201, doi:10.1029/2002WR001642.
25. Wigmosta, M. S., L. W. Vail, and D. P. Lettenmaier, 1994: A distributed-hydrology-vegetation model for complex terrain. Water Resour. Res., 30, 1665-1679.
26. Wood, E. F., D. P. Lettenmaier, and V. G. Zartarian, 1992: A land-surface hydrology parameterization with subgrid variability for general circulation models. J. Geophys. Res., 97 (133), 2717-2728.
27. Wood, E. F., and Coauthors, 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.
28. Zhao, R. J., Y. L. Zhang, L. R. Fang, X. R. Liu, and Q. S. Zhang, 1980: The Xinanjiang model. Hydrological Forecasting Proc.: Oxford Symp., Vol. 129, Oxford, United Kingdom, IASH, 351-356.