Proper methods and its calibration for estimating reference evapotranspiration using limited climatic data in Southwestern China

References

• Alexandris S, Stricevic R, Petcovic S. 2008. Comparative analysis of reference evapotranspiration from the surface of rain fed grass in central Serbia, calculated by six empirical methods against the Penman-Monteith formula. Eur Water. 21:17–28.
   Google Scholar
• Allen RG. 1998. Assessing integrity of weather data for reference evapotranspiration estimation. J Irrig Drain Eng. 122:97–106. doi:10.1061/(ASCE)0733-9437(1996)122:2(97)
   Web of Science ®Google Scholar
• Er-Raki S, Chehbouni A, Khabba S, Simonneaux V, Jarlan L, Ouldbba A, Rodriguez JC, Allen R. 2010. Assessment of reference evapotranspiration methods in semi-arid regions: can weather forecast data be used as alternate of ground meteorological parameters? J Arid Environ. 74:1587–1596. doi:10.1016/j.jaridenv.2010.07.002
   Web of Science ®Google Scholar
• Fooladmand HR, Zandilak H, Ravanan MH. 2008. Comparison of different types of Hargreaves equation for estimating monthly evapotranspiration in the south of Iran. Arch Agron Soil Sci. 54:321–330. doi:10.1080/03650340701793603
   Google Scholar
• Garcia M, Raes D, Allen R, Herbas C. 2004. Dynamics of reference evapotranspiration in the Bolivian highlands (Altiplano). Agric Forest Meteorol. 125:67–82. doi:10.1016/j.agrformet.2004.03.005
   Web of Science ®Google Scholar
• Hargreaves GH, Samani ZA. 1985. Reference crop evapotranspiration from temperature. Appl Eng Agric. 1:96–99. doi:10.13031/2013.26773
   Google Scholar
• Irmak S, Allen R, Whitty EB. 2003. Daily grass and Alfalfa-reference evapotranspiration estimates and Alfalfa-to-grass evapotranspiration ratios in Florida. J Irrig Drain Eng. 129:360–370. doi:10.1061/(ASCE)0733-9437(2003)129:5(360)
   Web of Science ®Google Scholar
• Jabloun M, Sahli A. 2008. Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data application to Tunisia. Agr Water Manage. 95:707–715. doi:10.1016/j.agwat.2008.01.009
   Web of Science ®Google Scholar
• Jensen ME, Burman RD, Allen RG. 1990. Evapotranspiration and irrigation water requirements. ASCE Manuals and Reports on Engineering Practice No. 70, New York (NY): ASCE.
   Google Scholar
• Jukić D, Denić-Jukić V. 2009. Groundwater balance estimation in Karst by using a conceptual rainfall-runoff model. J Hydrol. 373:302–315. doi:10.1016/j.jhydrol.2009.04.035
   Web of Science ®Google Scholar
• Krause P, Boyle DP, Bäse F. 2005. Comparison of different efficiency criteria for hydrological model assessment. Adv Geosci. 5:89–97. doi:10.5194/adgeo-5-89-2005
   Google Scholar
• Liu XY, Lin ED. 2005. Performance of the Priestley-Taylor equation in the semiarid climate of North China. Agr Water Manage. 71:1–17. doi:10.1016/j.agwat.2004.07.007
   Web of Science ®Google Scholar
• Nie YP, Chen HS, Wang KL, Yang J. 2012. Water source utilization by woody plants growing on dolomite outcrops and nearby soils during dry seasons in Karst region of southwest China. J Hydrol. 420-421:264–274. doi:10.1016/j.jhydrol.2011.12.011
   Web of Science ®Google Scholar
• Pereira AR, Pruitt WO. 2004. Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration. Agric Water Manage. 66:251–257. doi:10.1016/j.agwat.2003.11.003
   Web of Science ®Google Scholar
• Piao HC, Wu YY, Hong YT, Yuan ZY. 2000. Soil-released carbon dioxide from microbial biomass carbon in the cultivated soils of Karst areas of Southwest China. Biol Fert Soils. 31:422–426. doi:10.1007/s003749900189
   Web of Science ®Google Scholar
• Priestley CHB, Taylor RJ. 1972. On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev. 100:81–92. doi:10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2
   Web of Science ®Google Scholar
• Razzaghi F, Sepaskhah A. 2010. Assessment of nine different equations for ET0 estimation using lysimeter data in a semi-arid environment. Arch Agron Soil Sci. 56:1–12. doi:10.1080/03650340902829180
   Google Scholar
• Sentelhas PC, Gillespie TJ, Santo EA. 2010. Evaluation of FAO Penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in southern Ontario, Canada. Agr Water Manage. 97:635–644. doi:10.1016/j.agwat.2009.12.001
   Web of Science ®Google Scholar
• Shisanya CA, Recha C, Anyamba A. 2011. Rainfall variability and its impact on normalized difference vegetation index in arid and semi-arid lands of Kenya. Int J Geosci. 2:36–47. doi:10.4236/ijg.2011.21004
   Google Scholar
• Turk L. 1961. Estimation of irrigation water requirements, potential evapotranspiration – a simple climatic formula evolved up to date. Ann Agron. 12:13–14.
   Google Scholar
• Valiantzas JD. 2006. Simplified versions for the Penman evaporation equation using routine weather data. J Hydrol. 331:690–702. doi:10.1016/j.jhydrol.2006.06.012
   Web of Science ®Google Scholar
• Valiantzas JD. 2013a. Simple forms of Penman’s equation without wind and/or humidity data. I: Theoretical development. J Irrig Drain Eng. 139:1–8. doi:10.1061/(ASCE)IR.1943-4774.0000520
   Web of Science ®Google Scholar
• Valiantzas JD. 2013b. Simple forms of Penman’s equation without wind and/or humidity data. II: Comparisons with reduced set-FAO and other methodologies. J Irrig Drain Eng. 139:9–19. doi:10.1061/(ASCE)IR.1943-4774.0000502
   Web of Science ®Google Scholar
• Xu JZ, Peng SZ, Ding JL, Wei Q, Yu YM. 2013. Evaluation and calibration of simple methods for daily reference evapotranspiration estimation in humid East China. Arch Agron Soil Sci. 59:845–858. doi:10.1080/03650340.2012.683425
   Web of Science ®Google Scholar