Spatiotemporal pattern of the global sensitivity of the reference evapotranspiration to climatic variables in recent five decades over China

作者: Chaolei Zheng , Quan Wang

DOI: 10.1007/S00477-015-1120-7

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摘要: The impact of climatic variables on reference evapotranspiration (ET0) has been a critical issue for ages. sensitivities the FAO56 Penman–Monteith ET0 equation to climate in 668 stations China from 1960 2009 were studied using global sensitivity analysis method, extended Fourier amplitude test. results showed large degree spatiotemporal variation incoming solar radiation, temperature (T), relative humidity (RH), and wind speed, with averaged first-order index (Si) value 0.41, 0.18, 0.25, 0.15, respectively. At annul scale, radiation was most sensitive parameter southern part mean Si reached 0.66, while T RH northeast north China, both 0.37. In northwest values T, relatively constant around trended be slightly higher than other parameters (=0.28). Tibetan Plateau, two parameters, 0.32 0.31, spatial varied seasonally, closely related geographic location stations. general, low latitude more less high latitude. merit obtained current study that it estimates which greatest across entire range rather merely based their median values, is helpful better understand potential effects changes water management China.

参考文章(80)
A. K. M. Adham, M. H. Ali, M. M. Rahman, A. K. M. R. Islam, Sensitivity of Penman-Monteith estimates of reference evapotranspiration to errors in input climatic data. Journal of Agrometeorology. ,vol. 11, pp. 1- 8 ,(2009)
Richard G. Allen, Dirk Raes, Martin Smith, Luis S. Pereira, Crop evapotranspiration : guidelines for computing crop water requirements FAO Irrigation and Drainage Paper (FAO). ,(1998)
Pao-Shan Yu, Tao-Chang Yang, Chien-Chih Chou, Effects of Climate Change on Evapotranspiration from Paddy Fields in Southern Taiwan Climatic Change. ,vol. 54, pp. 165- 179 ,(2002) , 10.1023/A:1015764831165
Yue-Ping Xu, Suli Pan, Guangtao Fu, Ye Tian, Xujie Zhang, Future potential evapotranspiration changes and contribution analysis in Zhejiang Province, East China Journal of Geophysical Research. ,vol. 119, pp. 2174- 2192 ,(2014) , 10.1002/2013JD021245
Mohammad Valipour, Temperature analysis of reference evapotranspiration models Meteorological Applications. ,vol. 22, pp. 385- 394 ,(2015) , 10.1002/MET.1465
Qing Yan, Zhongshi Zhang, Yongqi Gao, Huijun Wang, Ola M. Johannessen, Sensitivity of the modeled present-day Greenland Ice Sheet to climatic forcing and spin-up methods and its influence on future sea level projections Journal of Geophysical Research. ,vol. 118, pp. 2174- 2189 ,(2013) , 10.1002/JGRF.20156
Bertrand Iooss, Paul Lemaître, A Review on Global Sensitivity Analysis Methods Uncertainty Management in Simulation-Optimization of Complex Systems. pp. 101- 122 ,(2015) , 10.1007/978-1-4899-7547-8_5
D. P. Dobson, The cause of decreased pan evaporation over the past 50 years. Science. ,vol. 298, pp. 1407- 1410 ,(2002) , 10.1126/SCIENCE.1075390
Qiang Liu, Zhifeng Yang, Baoshan Cui, Tao Sun, The temporal trends of reference evapotranspiration and its sensitivity to key meteorological variables in the Yellow River Basin, China Hydrological Processes. ,vol. 24, pp. 2171- 2181 ,(2010) , 10.1002/HYP.7649