Incorporation of TOPMODEL into land surface model SSiB and numerically testing the effects of the corporation at basin scale

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• 作者：HuiPing Deng (1)
  ShuFen Sun (2)
  
• 关键词：land surface model ; TOPMODEL ; coupling scheme ; effects on simulation results
• 刊名：Science China Earth Sciences
• 出版年：2012
• 出版时间：October 2012
• 年：2012
• 卷：55
• 期：10
• 页码：1731-1741
• 全文大小：850KB
• 参考文献：1. Yang C G, Lin Z H, Hao Z C, et al. Review of coupling atmospheric and hydrologic models (in Chinese). Adv Earth Sci, 2007, 22: 810鈥?17
  2. Koster R D, Milly P C D. The interplay between transpiration and runoff formulation in land surface schemes used with atmospheric models. J Clim, 1997, 10: 1578鈥?591 CrossRef
  3. Eric F W, Lettenmaier D P, Liang X, et al. The project for intercomparison of land-surface parameterization schemes_PILPS/Phase2_c/Red-Arkansas River basin experiment: 1. Experiment description and summary intercomparisons. Glob Planet Change, 1998, 19: 115鈥?35 CrossRef
  4. Bart N, Bowlinga L C, Lettenmaier D P, et al. Simulation of high latitude hydrological processes in the Torne-Kalix basin: PILPS Phase 2(e)2: Comparison of model results with observations. Glob Planet Change, 2003, 38: 31鈥?3 CrossRef
  5. Stockli R, Vidale P L, Boone A, et al. Impact of scale and aggregation on the terrestrial water exchange: Integrating land surface models and Rhone catchment observations. J Hrdrometeorol, 2007, 8: 1002鈥?015 CrossRef
  6. Sellers R J Mintz Y, Sud Y C, et al. A simple biosphere model (SiB) for use within general circulation models. J Atmos Sci, 1986, 43: 505鈥?31 CrossRef
  7. Dickinson R E, Henderson S A. Modeling tropical deforestation: A study of GCM land surface parameterizations. Q J R Meteorol Soc, 1988, 114: 439鈥?62 CrossRef
  8. Sellers P J, Randall D A, Collatz G J, et al. A revised land surface parameterization (SiB2) for atmospheric GCMs. J Clim, 1996, 9: 676鈥?05 CrossRef
  9. Sellers P J, Dickinson R E, Randall D A, et al. Modeling the exchanges of energy, water, and carbon between continents and the atmosphere. Science, 1997, 275: 502鈥?09 CrossRef
  10. Gedney N, Cox P M. The sensitivity of globle climate model simulations to the representation of soil moisture heterogeneity. J Hydrometeorol, 2003, 4: 1265鈥?275 CrossRef
  11. Douville H. Relevance of soil moisture for seasonal atmospheric predictions. Clim Dyn, 2004, 22: 429鈥?46 CrossRef
  12. Stieglitz M, Ring D, Famiglieth J, et al. An efficient approach to modeling the topographic control of surface hydrology for regional and global climate modeling. J Clim, 1996, 10: 118鈥?37 CrossRef
  13. Koster R D, Suarez M J, Ducharne A. A catchment-based approach to modeling land surface processes in a general circulation model. I. Model structure. J Geophys Res, 2000, 105: 809鈥?22 CrossRef
  14. Niu G Y, Yang Z L. A simple TOPMODE-based runoff parameterization (SIMTOP) for use in global climate models. J Geophys Res, 2005, 110: D21106 CrossRef
  15. Yong B, Zhang W C, Liu C S. Advances in the coupling study of hydrological models and land surface models (in Chinese). J Glaciol Geocryol, 2006, 6: 961鈥?70
  16. Famiglietti J, Wood E F. Multiscale modeling of spatially variable water and energy balance processes. Water Resour Res, 1994, 30: 3061鈥?078 CrossRef
  17. Famiglietti J, Wood E F. Application of multiscale water and energy balance models on a tallgrass prairie. Water Resour Res, 1994, 30: 3079鈥?093 CrossRef
  18. Liang X, Xie Z H. A new surface runoff parameterization with subgrid scale soil heterogeneity for land surface models. Adv Water Resour, 2001, 24: 1173鈥?192 CrossRef
  19. Entekhabi D, Eagleson P S. Land surface hydrology parameterization for atmospheric general circulation models including subgrid-scale spatial variability. J Clim, 1989, 2: 816鈥?31 CrossRef
  20. Beven K J, Kirkby M J. A Physical based variable contributing area model of basin hydrology. Hydrol Sci Bull, 1979, 24: 43鈥?9 CrossRef
  21. Beven K J. Rainfall-Runoff Modelling. New York: John Wiley & Sons, 2000. 187
  22. Warrach K, Stieglitz M, Mengelkamp H T, et al. Advantages of a topographically controlled runoff simulation in a soil-vegetation-atmosphere transfer model. J Hydrometeorol, 2002, 3: 131鈥?48 CrossRef
  23. Xue Y, Sellers P J, Kinter J L, et al. A simplified biosphere model for global climate studies. J Clim, 1991, 4: 345鈥?64 CrossRef
  24. Sivapalan M, Beven K J, Wood E F. On hydrologic similarity. 2. A scaled method of storm runoff production. Water Resour Res, 1987, 23: 2266鈥?278 CrossRef
  25. Chen J, Kumar P. Topographic influence on the seasonal and interannual variation of water and energy balance of basins in North America. J Clim, 2001, 14: 1989鈥?012 CrossRef
  26. Wolock D M, Price C V. Effects of digital elevation model and map scale and data resolution on a topography-based watershed model. Water Resour Res, 1994, 30: 3041鈥?052 CrossRef
  27. Saulnier G, Beven K, Obled C. Including spatially variable effective soil depths in TOPMODEL. J Hydrol, 1997, 202: 158鈥?72 CrossRef
  28. Duan J f, Miller N L. A generalized power function for the subsurface transmissivity profile in TOPMODEL. Water Resour Res, 1997, 333: 2559鈥?562 CrossRef
  29. Iorgulescu I, Musy A. Generalization of topmodel for a power law transmissivity profile. Hydrol Process, 1997, 11: 1353鈥?355 CrossRef
  30. Deng H P, Sun S F. Extension of TOPMODEL applications to the heterogeneous land surface. Adv Atmos Sci, 2010, 27: 164鈥?76 CrossRef
  31. Deng H P, Li X B, Cheng J F, et al. Simulation of hydrological response to land cover changes in the Suomo Basin (in Chinese). Acta Geogr Sin, 2003, 1: 53鈥?2
  32. Deng H P, Li X B. Relationship of upslope contribution area and soil water content in TOPMODEL (in Chinese). Prog Geogr, 2002, 2: 103鈥?10
  33. Beven K J. On subsurface stormflow: An analysis of response times. Hydrol Sci J-J Sci Hydrol, 1982, 27: 505鈥?21
  
• 作者单位：HuiPing Deng (1)
  ShuFen Sun (2)
  
  1. School of Environment and Planning, Liaocheng University, Liaocheng, 252059, China
  2. State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  
• ISSN：1869-1897

文摘

In order to examine and analyze the effects of integration of land surface models with TOPMODEL and different approaches for the integration on the model simulation of water and energy balances, the coupled models have been developed, which incorporate TOPMODEL into the Simplified Biosphere Model (SSiB) with different approaches(one divides a basin into a number of zones according to the distribution of topographic index, and the other only divides the basin into saturated and unsaturated zones). The coupled models are able to (but SSiB is not able to) take into account the impacts of topography variation and vertical heterogeneity of soil saturated hydraulic conductivity on horizontal distribution of soil moisture and in turn on water and energy balances within the basin(or a grid cell). By using the coupled models and SSiB model itself, the daily hydrological components such as runoffs are simulated and final results are analyzed carefully. Simulated daily results of hydrological components produced by both SSiB and coupled models show that (i) There is significant difference between results of soil wetness, its vertical distribution and seasonal variation, water and energy balance, and daily runoff in the basin predicted by SSiB and by the coupled models. The land surface model currently used such as SSiB is likely to misrepresent real feature of water and energy balances in the basin. (ii) Compared with the results for the basin predicted by SSiB, the coupled models predict more strong vertical and seasonal changes in soil wetness, higher evaporation and lower runoff, and improve the base flow simulation obviously. (iii) Comparing the results for the basin predicted by two coupled models with different integration approach and SSiB one by one, the results of daily runoffs and soil wetness predicted by the two coupled models are quite similar. It means, for the coupled models, the approach by dividing a region being considered into more subzones may have limited effects on improving runoff simulation results. The scheme only to divide the region into saturated and unsaturated zones may be a convenient and effective scheme. But then, if the results from the two coupled models for the basin are carefully compared, the simulated results by the coupled model with dividing the basin into more subzones will show higher evaporation and surface runoff but lower subsurface flow, lower total runoff, and lower ground water level averaged for five years.