Pongratz J, Lobell D B, Cao L, et al. Crop yields in a geoengineered climate[J]. Nature Climate Change, 2012,2(2):101-105.
[2]
Lobell D B, Schlenker W, Costa-Roberts J. Climate trends and global crop production since 1980[J]. Science, 2011,333(6042):616-620.
[3]
Michael G, Harald P, Andreas F, et al. Continent-wide response of mountain vegetation to climate change[J]. Nature Climate Change, 2012,2(2):111-115.
[4]
Zhao M S, Running S W. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009[J]. Science, 2010,329(5994):940-943.
[5]
Yue T X, Fan Z M, Chen C F, et al. Surface modelling of global terrestrial ecosystems under three climate change scenarios[J]. Ecological Modelling, 2011,222(14):2342-2361.
[6]
Mearns L O, Rosenzweig C, Goldberg R. Mean and variance change in climate scenarios: Methods, agricultural applications, and measures of uncertainty[J]. Climatic Change, 1997,35(4):367-396.
[7]
Fowler H J, Blenkinsop S, Tebaldi C. Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling[J]. International Journal of Climatology, 2007,27(12):1547-1578.
[8]
Van Vliet M T H, Blenkinsop S, Burton A, et al. A multi-model ensemble of downscaled spatial climate change scenarios for the Dommel catchment, Western Europe[J]. Climatic Change, 2012,111(2):249-277.
[9]
Giorgi F, Mearns L O. Introduction to special section: Regional climate modeling revisited[J]. Journal of Geophysical Research-Atmospheres, 1999,104(6):6335-6352.
Hay L E, Wilby R L, Leavesley G H. A comparison of delta change and downscaled GCM scenarios for three mountainous basins in the United States[J]. Journal of the American Water Resources Association, 2000,36(2):387-397.
[14]
Gellens D, Roulin E. Streamflow response of Belgian catchments to IPCC climate change scenarios[J]. Journal of Hydrology, 1998,210(1-4):242-258.
[15]
Moreno J I L, Latron J, Lehmann A. Effects of sample and grid size on the accuracy and stability of regression-based snow interpolation methods[J]. Hydrological Processes, 2010,24(14):1914-1928.
[16]
Gosciewski D. Application of selected statistical coefficients to accuracy analysis on surface interpolation models . 7th International Conference Environmental Engineering, 2008,1-3:1314-1319.
[17]
Wang C, Tang G A, Jia D X, et al. Accuracy of difference associated with grid digital elevation model[J]. Proceedings of the SPIE — The International Society for Optical Engineering, 2007,67532I:13.
[18]
Alsamamra H, Ruiz-Arias J A, Pozo-Vazquez D, et al. A comparative study of ordinary and residual kriging techniques for mapping global solar radiation over southern Spain[J]. Agricultural and Forest Meteorology, 2009,149(8):1343-1357.
[19]
Garbrecht J, Martz L W. Digital elevation model grid size, landscape representation, and hydrologic simulations — Comment[J]. Water Resources Research, 1996,32(5):1461-1462.
[20]
Fisher P. Improved modeling of elevation error with geostatistics[J]. Geoinformatica, 1998,2(3):215-233.
[21]
Gribov A, Krivoruchko K. Geostatistical mapping with continuous moving neighborhood[J]. Mathematical Geology, 2004,36(2):267-281.
Budiman M, Mcbratney A B. Spatial prediction of soil properties using EBLUP with the Matérn covariance function[J]. Geoderma, 2007,140(4):324-336.
[33]
Kitanidis P. Generalized covariance functions in estimation[J]. Mathematical Geology, 1993,25(5):525-540.
[34]
Yue T X. Surface modeling: High accuracy and high speed methods[M]. Taylor & Francis, 2011.
[35]
Brunsdon C, Fotheringham S, Charlton M. Geographically weighted regression: A method for exploring spatial nonstationarity[J]. Geographical Analysis, 1996,28(4):281-298.
[36]
Yu G N, Di L P, Yang W L. Downscaling of global soil moisture using auxiliary data . 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, July 6, 2008 - July 11, 2008, Boston, MA, United states: Institute of Electrical and Electronics Engineers Inc., 2008,III230-III233.
Thatcher M, Hurley P. A customisable downscaling approach for local-scale meteorological and air pollution forecasting: Performance evaluation for a year of urban meteorological forecasts[J]. Environmental Modelling & Software, 2010,25(1):82-92.
[39]
Brunsdon C, Fotheringham S, Charlton M. Geographically weighted regression - modelling spatial non-stationarity[J]. Journal of the Royal Statistical Society Series D-the Statistician, 1998,47(3):431-443.