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Spatial interpolation of daily precipitation in China: 1951–2005

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Abstract

Climate research relies heavily on good quality instrumental data; for modeling efforts gridded data are needed. So far, relatively little effort has been made to create gridded climate data for China. This is especially true for high-resolution daily data. This work, focuses on identifying an accurate method to produce gridded daily precipitation in China based on the observed data at 753 stations for the period 1951–2005. Five interpolation methods, including ordinary nearest neighbor, local polynomial, radial basis function, inverse distance weighting, and ordinary kriging, have been used and compared. Cross-validation shows that the ordinary kriging based on seasonal semi-variograms gives the best performance, closely followed by the inverse distance weighting with a power of 2. Finally the ordinary kriging is chosen to interpolate the station data to a 18 km× 18 km grid system covering the whole country. Precipitation for each 0.5° × 0.5° latitude-longitude block is then obtained by averaging the values at the grid nodes within the block. Owing to the higher station density in the eastern part of the country, the interpolation errors are much smaller than those in the west (west of 100°E). Excluding 145 stations in the western region, the daily, monthly, and annual relative mean absolute errors of the interpolation for the remaining 608 stations are 74%, 29%, and 16%, respectively. The interpolated daily precipitation has been made available on the internet for the scientific community.

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References

  • Achberger, C., M. L. Linderson, and D. Chen, 2003: Performance of the Rossby Centre regional atmospheric model in southern Sweden: comparison of simulated and observed. Theor. Appl. Climatol., 76, 219–234.

    Article  Google Scholar 

  • Antonic, O., J. Krizan, A. Marki, and D. Bukovec, 2001: Spatio-temporal interpolation of climatic variables over large region of complex terrain using neural networks. Ecological Modelling, 138, 255–263.

    Article  Google Scholar 

  • Cai, F., H. B. Yu, L. L. Jiao, K. Tang, H. Q. Ming, and B. Liu, 2006: Comparison of precision of spatial interpolation of precipitation factors: A case study in northeastern China. Resources Science, 28, 73–79. (in Chinese with English abstract)

    Google Scholar 

  • Carlson, R. E., and T. A. Foley, 1991: The parameter R 2 in multiquadric interpolation. Computers & Mathematics With Applications, 21, 29–42.

    Article  Google Scholar 

  • Chen, D., and G. Gao, 2004: Impact of climate change on runoffs from Han Jiang and Gan Jiang in the Yangtze River basin. Journal of Lake Sciences, 15, 105–114. (in Chinese with English abstract).

    Google Scholar 

  • Chen, D., G. Gao, C. Y. Xu, J. Guo, and G. Ren, 2005: Comparison of Thornthwaite method and Pan data with the standard Penman-Monteith estimates of potential evapotranspiration for China. Climate Research, 28, 123–132.

    Article  Google Scholar 

  • Chen, D., L. Gong, C. Xu, and S. Halldin, 2007: A high-resolution, gridded dataset for monthly temperature normals (1971–2000) in Sweden. Geografiska Annaler, 89A, 249–261.

    Article  Google Scholar 

  • Cressman G. P., 1959: An operational objective analysis systerm. Mon. Wea. Rev., 87, 367–374.

    Article  Google Scholar 

  • Daly, C., 2006. Guidelines for assessing the suitability of spatial climate data sets. International Journal of Climatology, 26, 707–721.

    Article  Google Scholar 

  • 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.

    Article  Google Scholar 

  • Feng, S., Q. Hu, and W. H. Qian, 2004: Quality control of daily meteorological data in China, 1951–2000: A new dataset. International Journal of Climatology, 24, 853–870.

    Article  Google Scholar 

  • Franke, R., 1982: Scattered data interpolation: Test of some methods. Mathematics of Computations, 33, 181–200.

    Google Scholar 

  • Fu, J., W. Qian, X. Lin, and D. Chen, 2008: Trends of graded precipitation days in China from 1961 to 2000. Adv. Atmos. Sci., 25, 267–278, doi: 10.1007/s00376-008-0267-2.

    Article  Google Scholar 

  • Gao, G., D. Chen, C. Y. Xu, and E. Simelton, 2007: Trend of estimated actual evapotranspiration over China during 1960–2002. J. Geophys. Res., 112, D11120, doi: 10.1029/2006JD008010.

    Article  Google Scholar 

  • Gong, D. Y., C. H. Ho, D. Chen, Y. Qian, Y. S. Choi, and J. Kim, 2007: Weekly cycle of aerosolmeteorology interaction over China. J. Geophys. Res., 112, D22202, doi: 10.1029/2007JD008888.

    Article  Google Scholar 

  • Gu, Z. H., P. J. Shi, and J. Chen, 2006: Precipitation interpolation research over regions with sparse meteorological stations: A case study in Xilin Gole League. Journal of Beijing Normal University (Natural Science), 42, 204–208. (in Chinese with English abstract)

    Google Scholar 

  • Gemmer, M., S. Becker, and T. Jiang, 2004: Observed monthly precipitation trends in China 1951–2002. Theor. Appl. Climatol., 77, 39–45.

    Article  Google Scholar 

  • Hageback, J., J. Sundberg, M. Ostwald, D. Chen, Y. Xie, and P. Knutsson, 2005: Climate variations and land use in Danangou watershed, China—Examples of small-scale farmers adaptation. Climatic Change, 72, 189–212.

    Article  Google Scholar 

  • Han, Q. H., W. M. Chen, P. C. Wang, Y. K. Wang, and C. J. Yang, 2006: Application of PRISM spatial interpolation to the precipitation distribution in the Songhuajiang river basin. Journal of Nanjing Institute of Meteorology, 1, 56–61. (in Chinese with English abstract)

    Google Scholar 

  • He, H. Y., Z. H. Guo, W. F. Xiao, and Q. S. Guo, 2005: Mapping monthly precipitation for Tibetan plateau with GIS and multivariate analysis based in DEM data. Acta Ecologica Sinica, 25, 2933–2938. (in Chinese with English abstract)

    Google Scholar 

  • Hofierka, J., J. Parajks, H. Mitasova, and L. Mitas, 2002: Multivariate interpolation of precipitation using regularized spline with tension. Transactions in GIS, 6, 135–150.

    Article  Google Scholar 

  • Hulme, M., D. Conway, P. D. Jones, T. Jiang, E. M. Barrow, and C. Turney, 1995: Construction of a 1961–1990 European climatology for climate change modelling and impact applications. International Journal of Climatology, 15, 1333–1363.

    Article  Google Scholar 

  • Johansson, B., and D. Chen, 2003: The influence of wind and topography on precipitation distribution in Sweden: statistical analysis and modeling. International Journal of Climatology, 23, 1523–1535.

    Article  Google Scholar 

  • Johansson, B., and D. Chen, 2005: Estimation of areal precipitation for runoff modelling using wind data: A case study in Sweden. Climate Research, 29, 53–61.

    Article  Google Scholar 

  • Liao, Y., Q. Zhang, and D. Chen, 2004: Stochastic modeling of daily precipitation in China. Journal of Geographical Sciences, 14, 417–426.

    Article  Google Scholar 

  • Liu, D. W., Z. M. Feng, and Y. Z. Yang, 2006: Selection of spatial interpolation methods for precipitation in the Haihe River Basin. Geo-Information Science, 8, 75–83. (in Chinese with English abstract).

    Google Scholar 

  • New, M., M. Hulme, and P. D. Jones, 1999: Representing twentieth century space-time climate variability. Part 1: development of a 1961–90 mean monthly terrestrial climatology. J. Climate, 12, 829–856.

    Article  Google Scholar 

  • Nalder, I. A., and R. W. Wein, 1998: Spatial interpolation of climatic normals: Test of a new method in the Canadian boreal forest. Agricultural and Forest Meteorology, 92, 211–225.

    Article  Google Scholar 

  • Price, D. T., D. W. McKenney, I. A. Nalderc, M. F. Hutchinsond, and J. L. Kesteven, 2000: A comparison of two statistical methods for spatial interpolation of Canadian monthly mean climate data. Agricultural and Forest Meteorology, 101, 81–94.

    Article  Google Scholar 

  • Qian, W. H., D. Chen, Y. Zhu, and H. Y. Shen, 2003: Temporal and spatial variability of dryness/wetness in China during the last 530 Years. Theor. Appl. Climatol., 76, 13–29.

    Article  Google Scholar 

  • Seo, D. J., W. F. Krajewski, and D. S. Bowles, 1990a: Stochastic interpolation of rainfall data from rain gages and radar using cokriging, 1, design of experiments. Water Resour. Res., 26, 469–477.

    Google Scholar 

  • Seo, D. J., W. F. Krajewski, A. Azimi-Zonooz, and D. S. Bowles, 1990b: Stochastic interpolation of rainfall data from rain gages and radar using cokriging, 2, results. Water Resour. Res., 26, 915–924.

    Google Scholar 

  • Sen, Z., and Z. Habib, 2000: Spatial analysis of monthly precipitation in Turkey. Theor. Appl. Climatol., 67, 81–96.

    Article  Google Scholar 

  • Shen, S. S. P., P. Dzikowski, G. Li, and D. Griffith, 2001: Interpolation of 1961–97 daily temperature and precipitation data onto Alberta polygons of ecodistrict and soil landscapes of Canada. Journal of Applied Meteorology, 40, 2162–2177.

    Article  Google Scholar 

  • Snyder, J. P., 1987: Map Projections—A working manual. U. S. Geological Survey Professional Paper 1395, U. S. Government Printing Office, Washington, DC, 383pp.

    Google Scholar 

  • Song, Y., D. Chen, and W. Dong, 2006: Influence of climate on winter wheat productivity in different climate regions of China during 1961–2000. Climate Research, 32, 219–227.

    Article  Google Scholar 

  • Thomas, A., and U. C. Herzfeld, 2004: REGEOTOP: New climatic data fields for East Asia based on localized relief information and geostatistical methods. International Journal of Climatology, 24, 1282–1306.

    Article  Google Scholar 

  • Wei, F. Y., and H. X. Cao, 1994: Gridded processing and analyzing for monthly precipitation and temperature data in China. Meteorological Monthly, 20, 26–30. (in Chinese with English abstract).

    Google Scholar 

  • Wetterhall, F., A. Bárdossy, D. Chen, S. Halldin, and C. Y. Xu, 2006: Daily precipitation downscaling techniques in different climate regions in China. Water Resour. Res., 42, W11423, doi: 10.1029/2005WR004573.

    Article  Google Scholar 

  • Yan, H., H. A. Nix, M. F. Hutchinson, and T. H. Booth, 2005: Spatial interpolation of monthly mean climate data for China. International Journal of Climatology, 25, 1369–1379.

    Article  Google Scholar 

  • Yanalak, M., 2003: Effect of gridding method on digital terrain model profile data based on scattered data. Journal of Computing in Civil Engineering, 17, 58–67.

    Article  Google Scholar 

  • Yilmaz, H. M., 2007: The effect of interpolation methods in surface definition: An experimental study. Earth Surface Processes and Landforms, 32, 1346–1361.

    Article  Google Scholar 

  • Zhu, H., T. Luo, and C. Daly, 2003: Validation of simulated grid data sets of China’s temperature and precipitation with high spatial resolution. Geographical Research, 22, 349–259. (in Chinese with English abstract).

    Google Scholar 

  • Zhu, Q. A., W. C. Zhang, and D. Z. Zhao, 2005: Topography-based spatial daily precipitation interpolation by means of PRISM and Thiessen polygon analysis. Scientia Geographica Sinica, 25, 233–238. (in Chinese with English abstract).

    Google Scholar 

  • Zhuang, L. W., and S. L. Wang, 2003: Spatial interpolation methods of daily weather data in Northeast China. Quarterly Journal of Applied Meteorology, 14, 605–615. (in Chinese with English abstract).

    Google Scholar 

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Correspondence to Deliang Chen.

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Chen, D., Ou, T., Gong, L. et al. Spatial interpolation of daily precipitation in China: 1951–2005. Adv. Atmos. Sci. 27, 1221–1232 (2010). https://doi.org/10.1007/s00376-010-9151-y

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  • DOI: https://doi.org/10.1007/s00376-010-9151-y

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