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Distributed modeling of monthly air temperatures over the rugged terrain of the Yellow River Basin

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Abstract

Our analyses of the monthly mean air temperature of meteorological stations show that altitude, global solar radiation and surface effective radiation have a significant impact on air temperature. We set up a physically-based empirical model for monthly air temperature simulation. Combined the proposed model with the distributed modeling results of global solar radiation and routine meteorological observation data, we also developed a method for the distributed simulation of monthly air temperatures over rugged terrain. Spatial distribution maps are generated at a resolution of 1 km×1 km for the monthly mean, the monthly mean maximum and the monthly mean minimum air temperatures for the Yellow River Basin. Analysis shows that the simulation results reflect to a considerable extent the macro and local distribution characteristics of air temperature. Cross-validation shows that the proposed model displays good stability with mean absolute bias errors of 0.19°C–0.35°C. Tests carried out on local meteorological station data and case year data show that the model has good spatial and temporal simulation capacity. The proposed model solely uses routine meteorological data and can be applied easily to other regions.

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References

  1. Li J, You S C, Huang J F. Spatial interpolation method and spatial distribution characteristics of monthly mean temperature in China during 1961–2000 (in Chinese). Ecol Environ, 2006, 15(1): 109–114

    Google Scholar 

  2. Li J, Huang J F. Review on methods in simulating spatial distribution of temperature in mountains (in Chinese). J Mt Sci, 2004, 22(1): 126–132

    Google Scholar 

  3. Li X, Cheng G D, Lu L. Comparison of spatial interpolation methods (in Chinese). Adv Earth Sci, 2000, 15(3): 260–265

    Google Scholar 

  4. Dodson R, Marks D. Daily air temperature interpolated at high spatial resolution over a large mountainous region. Clim Res, 1997, 8(1): 1–20

    Article  Google Scholar 

  5. Nalder I A, Wein R W. Spatial interpolation of climate normals: Test of a new method in the Canadian boreal forest. Agric For Meteorol, 1998, 92: 211–225

    Article  Google Scholar 

  6. Jeffrey S J, Carter J O, Moodie K B, et al. Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environ Model Software, 2001, 16(4): 309–330

    Article  Google Scholar 

  7. Thornton P E, Running S W, White M A. Generating surfaces of daily meteorological variables over large regions of complex terrain. J Hydrol, 1997, 190: 214–251

    Article  Google Scholar 

  8. Chen X F, Liu J Y, Zhang Z X, et al. Using GIS to establish temperature distribution model in mountain area (in Chinese). J Image Graph, 1998, 3(3): 234–238

    Google Scholar 

  9. Yu G R, He H L, Liu A X, et al. Study on spatialization technology of terrestrial eco-information in China (I) (in Chinese). J Nat Resour, 2004, 19(4): 537–543

    Google Scholar 

  10. Yin H T, Liu X A, liu S D, et al. Analysis and grid of thermal resources in west Liaoning Province (in Chinese). Resour Sci, 2006, 28(1): 169–173

    Google Scholar 

  11. Zhu H Z, Luo T X, Daly C. Validation of simulated grid data sets of China’s temperature and precipitation with high spatial resolution (in Chinese). Geogr Res, 2003, 22(3): 351–359

    Google Scholar 

  12. Liu X A, Yu G R, Fan L S, et al. Study on spatialization technology of terrestrial eco-information in China (III) (in Chinese). J Nat Resour, 2004, 19(6): 818–825

    Google Scholar 

  13. Liao S B, Li Z H. Study on methodology for rasterizing accumulated temperature data (in Chinese). Geogr Res, 2004, 23(5): 633–640

    Google Scholar 

  14. Li Z Q, Yu G R, Liu X A, et al. Grid technology for precipitation and humidity information in northeast China (in Chinese). Resour Sci, 2003, 25(1): 72–77

    Google Scholar 

  15. Liao S B, Li Z H, You S C. Comparison on methods for rasterization of air temperature data (in Chinese). Resour Sci, 2003, 25(6): 83–88

    Google Scholar 

  16. Ren C Y, Yu G R, Liu X A, et al. Establishment and application of grid thermal resource information system in northeast of China (in Chinese). Resour Sci, 2003, 25(1): 66–71

    Google Scholar 

  17. Patrick M B. Multivariate interpolation to incorporate thematic surface data using inverse distance weighing. Comput Geosci, 1996, 22(7): 795–799

    Article  Google Scholar 

  18. Holdaway M R. Spatial modeling and interpolation of monthly temperature using Kriging. Clim Res, 1996, 6(3): 215–225

    Article  Google Scholar 

  19. Hudson G, Wackernagel H. Mapping temperature using Kriging with external drift theory and an example from Scotland. Int J Climatol, 1994, 14(1): 77–91

    Article  Google Scholar 

  20. Luo Z, Wahba G, Johnson D R. Spatial temporal analysis of temperature using smoothing spline ANOVA. J Clim, 1998, 11(1): 18–28

    Article  Google Scholar 

  21. Jarvis C H, Stuart N A. Comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: The interaction between number of guiding variables and the type of interpolation method. J Appl Meteorol, 2001, 40(6): 1075–1084

    Article  Google Scholar 

  22. Price D T, McKenney D W, Nalder I A, et al. A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agric For Meteorol, 2000, 101(2–3): 81–94

    Article  Google Scholar 

  23. Robeson S M, Janis M J. Comparison of temporal and unresolved spatial variability in multiyear time averages of air temperature. Clim Res, 1998, 10(1): 15–26

    Article  Google Scholar 

  24. Lin Z H, Mo X G, Li H X. Comparison of three spatial interpolation methods for climate variables in China (in Chinese). Acta Geogr Sin, 2002, 57(1): 47–56

    Google Scholar 

  25. Pan Y Z, Gong D Y, Deng L, et al. Smart distance searching-based and DEM-informed interpolation of surface air temperature (in Chinese). Acta Geogr Sin, 2004, 59(3): 366–374

    Google Scholar 

  26. Liu Y, Chen P Q, Zhang W, et al. A spatial interpolation method for surface Air temperature and its error analysis (in Chinese). Chin J Atmos Sci, 2006, 30(1): 146–152

    Google Scholar 

  27. Zen J G, Zhao J. A GIS method for regional accumulative temperatures interpolation (in Chinese). J Glaciol Geocryol, 2005, 27(4): 591–597

    Google Scholar 

  28. Li X, Cheng G D, Lu L. Comparison study of spatial interpolation methods of air temperature over Qinghai-Xizang Plateau (in Chinese). Plateau Meteorol, 2003, 22(6): 565–573

    Google Scholar 

  29. Fu B P. Simulation of the distribution of climatic elements in mountainous areas (in Chinese). Acta Meteorol Sin, 1988, 46(3): 319–325

    Google Scholar 

  30. Lennon J J, Turner J R G. Predicting the spatial distribution of climate: Temperature in Great Britain. J Anim Ecol, 1995, 64: 370–392

    Article  Google Scholar 

  31. Wang L. The temperature calculation model for the mountainous areas in north China and its application (in Chinese). J Nat Resour, 1996, 11(2): 150–156

    Google Scholar 

  32. Gu W, Shi P J, Liu Y, et al. The characteristics of temporal and spatial distribution of negative accumulated temperature in Bohai Sea and north Yellow Sea (in Chinese). J Nat Resour, 17(2): 168–173

  33. Li J, Huang J F, Wang X Z. Distribution model and mapping of monthly average temperature with high space resolution in mountainous areas (in Chinese). Trans Chin Soc Agric Eng, 2004, 20(3): 19–23

    Google Scholar 

  34. Fang S M, Qin J W, Li Y F, et al. Method of spatial interpolation of air temperature based on GIS in Gansu Provice (in Chinese). J Lanzhou Univ (Nat Sci), 2005, 41(2): 6–9

    Google Scholar 

  35. Guo W L, Wu C Y, Liu F, et al. Calculation of different guarantee rates of heat resource and analyses of the calculated results (in Chinese). Trans Chin Soc Agric Eng, 2005, 21(4): 145–149

    Google Scholar 

  36. You S C, Li J. Study on error and its pervasion of temperature estimation (in Chinese). J Nat Resour, 2005, 20(1): 140–144

    Google Scholar 

  37. Zhang H L, Ni S X, Deng Z W, et al. A method of spatial simulating of temperature based digital elevation model (DEM) in mountain area (in Chinese). J Mt Sci, 2002, 23(3): 360–364

    Google Scholar 

  38. Qiu X F, Zeng Y, Liu S M. Distributed modeling of extraterrestrial solar radiation over rugged terrains. Chin J Geophys, 2005, 48(5): 1100–1107

    Google Scholar 

  39. Zeng Y, Qiu X F, Liu C M, et al. Distributed modeling of direct solar radiation on rugged terrain of Yellow River Basin. J Geogr Sci, 2005, 15(4): 439–447

    Article  Google Scholar 

  40. Qiu X F, Zeng Y, He Y J, et al. Distributed modeling of diffuse solar radiation over rugged terrain of the Yellow River Basin. Chin J Geophys, 2008, 51(4): 700–708

    Google Scholar 

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Authors and Affiliations

  1. Jiangsu Institute of Meteorological Sciences, Nanjing, 210008, China

    Yan Zeng

  2. Department of GIS, School of Remote Sensing, Nanjing University of Information Science & Technology, Nanjing, 210044, China

    XinFa Qiu, YongJian He & GuoPing Shi

  3. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China

    ChangMing Liu

Authors
  1. Yan Zeng
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  2. XinFa Qiu
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  3. YongJian He
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  4. GuoPing Shi
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  5. ChangMing Liu
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Corresponding author

Correspondence to Yan Zeng.

Additional information

Supported by China Meteorological Administration key Project on New Technique Diffusion (Grant No. CMATG2006Z10) and Jiangsu Key Laboratory of Meteorological Disasters (Grant No. KLME050102)

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Zeng, Y., Qiu, X., He, Y. et al. Distributed modeling of monthly air temperatures over the rugged terrain of the Yellow River Basin. Sci. China Ser. D-Earth Sci. 52, 694–707 (2009). https://doi.org/10.1007/s11430-009-0059-2

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  • DOI: https://doi.org/10.1007/s11430-009-0059-2

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