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A distributed water-heat coupled model for mountainous watershed of an inland river basin in Northwest China (III) using the outputs from Mesoscale model version 5

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Environmental Geology

Abstract

The distributed water-heat coupled (DWHC) model is calibrated, with the help of the Mesoscale model version 5 (MM5), by calculating the daily precipitation, the daily average air temperature at the 2.0 m heights and the daily potential evaporation in Heihe mountainous watershed area and its vicinity (96.786°∼102.284°E, 37.328°∼40.601°N, 17 × 10km2), from February 11 to June 30, 2003. The MM5 model periodically ran every 10 days in 3 km × 3 km grid resolution with an integral time step of 3 s. In the MM5 model, many scheme or options are consulted or adopted, such as the Grell scheme cumulus parameterization method, the Dudhia option, the cloud-radiation scheme, MRF PBL option and the modified Oregon State University Land-surface model (OSULSM). According to the projection transform methods, the MM5 outputs are interpolated to the 1 km × 1 km grid in Alberts projection by using triangle-based cubic interpolation (Cubic) and nearest neighbor interpolation (Nearest) methods, with which the DWHC model shares the same method. The result shows that, when the Nearest method is used, the Nash-Sutcliffe equation value of the daily average runoff is 0.79, the balance error is −0.79% and the goodness of fit R 2 value is 0.81. Meanwhile, when the Cubic method is used, the Nash-Sutcliffe equation value, the balance error and the R 2 value are 0.79, −0.65% and 0.80, respectively. Though the runoff simulation result is not favorable, it is still better than that using measured data at the meteorological and hydrological stations; the latter has a Nash-Sutcliffe equation value of 0.61. The MM5-DWHC model results also show that runoff mainly occurs on land surfaces and from shallow soil layers. According to model calibration results, certain outputs of MM5 are singular to some extent and the DWHC model is very sensitive to the initial values.

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References

  • Bonan GB (1996) The NCAR land surface model (LSM version1.0) coupled to the NCAR community climate mode. NCAR Technical Note NCAR/TN-429+STR. National Center for Atmospheric Research, Boulder, Colorado

  • Budyko MI (1956) Teplovoi Balans Zemnoi Poverkhnosti (The heat balance of the Earth’s surface). Gidrometeoro logicheskoe Izdatel’stvo, Leningrad (In Russian)

  • Chen RS, Kang ES, Yang JP, Zhang JS (2003) A distributed runoff model for inland river mountainous basin of northwest China. J Geogr Sci 13(3):363–372

    Article  Google Scholar 

  • Chen RS, Lu SH, Kang ES, Ji XB, Zhang ZH, Yang Y, Qing WW (2006a) A distributed water-heat coupled (DWHC) model for mountainous watershed of an inland river basin in Northwest China (I) model structure and equations. (Submitted to Environmental Geology)

  • Chen RS, Kang ES, Lu, SH, Ji XB, Zhang ZH, Yang Y, Qing WW (2006b) A distributed water-heat coupled (DWHC) model for mountainous watershed of an inland river basin in Northwest China (II) model results using the measured data at the meteorological and hydrological stations. (Submitted to Environmental Geology)

  • Chen RS, Kang ES, Ji XB, Yang JP, Zhang ZH, Yang Y (2006c) Spatial and temporal variations of atmospheric CO2 concentration and its response to meteorological variables in Heihe river basin, Northwest China. J Environ Sci (China) 18(4):708–715

    Google Scholar 

  • Dai YJ, Zeng QC (1997) A land surface model (IAP94) for climate studies. Part 1: formulation and validation in off line experiments. Advan Atmos Sci 14(4):433–460

    Article  Google Scholar 

  • Davis PJ (1975) Interpolation and approximation. Dover, New York

    Google Scholar 

  • Dickinson RE (1988) The force reside model for surface temperatures and its generalizations. J Clim 1(10):1086–1097

    Article  Google Scholar 

  • Franchini M, Pacciani M (1991) Comparative analysis of several conceptual rainfall-runoff models. J Hydrol 122:161–219

    Article  Google Scholar 

  • Gao YH, Lu SH, Cheng GD (2004) Simulation of rainfall-runoff and watershed convergence process in the upper reaches of Heihe river basin, July 2002. Sci China Ser D 47(suppl 1):1–8

    Article  Google Scholar 

  • Georg A, Dudhia J, Stauffer DR (1995) A description of the fifth-generation penn state/NACR Mesoscale model (MM5). NCAR Technical Note NCAR/TN-398+STR. National Center for Atmospheric Research, Boulder, Colorado

  • Ji JJ (1995) A climate vegetation interaction model: simulating physical and biological process at the surface. J Biogeogr 22:445–451

    Article  Google Scholar 

  • Lai MJ (1996) Scattered data interpolation and approximation using bivariate C1 piecewise cubic polynomials. Comput Aided Geometr Des 13:81–88

    Article  Google Scholar 

  • Loumagne C, Chkir N, Normand M (1996) Introduction of the soil/vegetation/atmosphere continuum in a conceptual rainfall/runoff model. Hydrological Sci J 41(6):889–902

    Article  Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, 1, A discussion of principles. J Hydrol 10(3):282–290

    Google Scholar 

  • Sellers PJ, Mintz Y, Sud YC, Dalcher A (1986) A simple biosphere model (SiB) for use within general circulation models. J Atmos Sci 43:505–531

    Article  Google Scholar 

  • Verseghy DL, MeFarlaae NA, Lazere M (1991) Class—a Canadian land surface schemes for GCMs, I. Soil model and coupled runs. Int J Clim 11(8):111–133

    Google Scholar 

  • Yang QH, Snyder JP, Tobler WR (2000) Map projection transformation: principles and applications. Taylor & Francis, London

    Google Scholar 

  • Zeng T, Hao ZC, Wang JH (2004) Modeling the response of runoff to climate change (in Chinese). J Glaciology Geocryology 26(3):324–332

    Google Scholar 

Download references

Acknowledgments

This work has been mainly supported by Chinese National Sciences Foundation Committee and Chinese Academy of Sciences (KZCX2-YW-301-3 and 40401012). The authors would also like to thank Dr. Jason Yan for English improvements.

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Correspondence to Ren-sheng Chen.

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Chen, Rs., Gao, Yh., Lu, Sh. et al. A distributed water-heat coupled model for mountainous watershed of an inland river basin in Northwest China (III) using the outputs from Mesoscale model version 5. Environ Geol 53, 763–768 (2007). https://doi.org/10.1007/s00254-007-0688-8

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  • DOI: https://doi.org/10.1007/s00254-007-0688-8

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