[1]Allen R G, Pereira L S, Raes D, Smith M. 1998. Cropevapotranspiration: guidelines for computing croprequirements. In: Irrigation and Drainage Paper No.56. FAO, Rome, Italy.Allen R G, Pereira L S, Smith M, Wright J. 2005. FAO-56dual crop coefficient method for estimating evaporationfrom soil and application extensions Journal ofIrrigation and Drainage Engineering-ASCE, 131, 2-13[2]Allen R G, Tasumi M, Trezza R. 2007. Satellite-based energybalance for mapping evapotranspiration with internalizedcalibration (METRIC)-model. Journal of Irrigation andDrainage Engineering-ASCE, 133, 380-394[3]Barton C V M, Ellsworth D S, Medlyn B E. 2010. Whole-treechambers for elevated atmospheric CO2 experimentationand tree scale flux measurements in south-easternAustralia: the hawkesbury forest experiment. Agriculturaland Forest Meteorology, 150, 941-951[4]Bastiaanssen W G M, Menenti M, Feddes M F, Holtslag AA M. 1998. A remote sensing surface energy balancealgorithm for land (SEBAL): 1. Formulation. Journal ofHydrology, 212-213, 198-212[5]Brotzge J A, Crawford K C. 2003. Examination of the surfaceenergy budget: A comparison of eddy correlation andBowen ratio measurement systems. Journal ofHydrometeorology, 4, 160-178[6]Brutsaert W, Sugita M. 1992. Application of selfpreservationin the diurnal evolution of the surfaceenergy budget to determine daily evaporation. Journalof Geophysical Research, 97, 18377-18382[7]Burba G G, Verma S B. 2005. Seasonal and interannualvariability in evapotranspiration of native tallgrassprairie and cultivated wheat ecosystems. Agriculturaland Forest Meteorology, 135, 190-201[8]Caparrini F, Castelli F, Entekhabi D. 2004. Estimation ofsurface turbulent fluxes through assimilation ofradiometric surface temperature sequences. Journal ofHydrometeorology, 5, 145-159[9]Chehbouni A, Hoedjes J C B, Rodriquez J C, Watts C J,Caratuza J, Jacob F, Kerr Y H. 2008. Using remotelysensed data to estimate area-averaged daily surfacefluxes over a semi-arid mixed agricultural land.Agricultural and Forest Meteorology, 148, 330-342[10]Ministry of Agricultur, China. 2009. China AgriculturalYearbook. China Agriculture Press, Beijing. p. 247. (inChinese)Crago R D. 1996. Conservation and variability of theevaporative fraction during the daytime. Journal ofHydrology, 180, 173-194[11]Crago R D, Brutsaert W. 1996. Daytime evaporation andthe self-preservation of the evaporative fraction andthe Bowen ratio. Journal of Hydrology, 178, 241-255[12]Farah H O, Bastiaanssen W G M, Fedders R A. 2004.Evaluation of the temporal variability of the evaporativefraction in a tropical watershed. International Journalof Applied Earth Observation and Geoinformation, 5,129-140[13]Gentine P, Entekhabi D, Chehbouni A, Boulet G, DucheminB. 2007. Analysis of evaporative fraction diurnalbehavior. Agricultural and Forest Meteorology, 143,13-29[14]Hoedjes J C B, Chehbouni A, Jacob F. 2008. Deriving dailyevapotranspiration from remotely sensed instantaneousevaporative fraction over olive orchard in semi-aridMorocco. Journal of Hydrology, 354, 53-64[15]Irmak S, Mutiibwa D. 2010. On the dynamics of canopyresistance: Generalized-linear estimation andrelationships with primary micrometeorologicalvariables. Water Resources Research, 46, W08526.Irmak S, Mutiibwa D, Irmak A, Arkebauer T J, Martin D L,Eisenhauer D E. 2008. On the scaling up leaf stomatalresistance to canopy resistance using photosyntheticphoton flux density. Agricultural and ForestMeteorology, 148, 1034-1044[16]Jackson R D, Hatfield J L, Reginato RJ, Idso S B, Pinter Jr PJ. 1983. Estimation of daily evapotranspiration from onetime-of-day measurements. Agricultural WaterManagement, 7, 351-362[17]Kustas W P, Schmugge T J, Humes K S, Jackson T J, ParryR, Weltz M A, Moran M S. 1993. Relationships betweenevaporative fraction and remotely-sensed vegetationindex and microwave brightness temperature forsemiarid rangelands. Journal of Applied Meteorology,32, 1781-1790[18]Kustas W P, Li F, Jacson T J, Prueger J H, MacPherson J I,Wolde M. 2004. Effects of remote sensing pixelresolution on modeled energy flux variability ofcroplands in Iowa. Remote Sensing of Environment,92, 535-547[19]Lei H, Yang D. 2010a. Interannual and seasonal variabilityin evapotranspiration and energy partitioning over anirrigated cropland in the North China Plain. Agriculturaland Forest Meteorology, 150, 581-589[20]Lei H, Yang D. 2010b. Seasonal and interannual variationsin carbon dioxide exchange over a cropland in the NorthChina Plain. Global Change Biology, 16, 2944-2957[21]Lhomme J P, Elguero E. 1999. Examination of evaporativefraction diurnal behaviour using a soil-vegetation modelcoupled with a mixed-layer model. Hydrology and Earth System Sciences, 3, 259-270[22]Li S, Kang S Z, Li F S. 2008. Vineyard evaporative fractionbased on eddy covariance in an and desert region ofNorthwest China. Agricultural Water Management, 95,937-948[23]Li S G, Eugster W, Asanuma J, Kotani A, Davaa G,Oyunbaatar D, Sugita M. 2006. Energy partitioning andits biophysical controls above a grazing steppe in centralMongolia. Agricultural and Forest Meteorology, 137,89-106[24]Li Z L, Tang R, Wan Z, Bi Y, Zhou C, Tang B, Yan G, ZhangX. 2009. A review of current methodologies for regionalevapotranspiration estimation from remotely senseddata. Sensors, 9, 3801-3853[25]Liu C M, Zhang X Y, Zhang Y Q. 2002. Determination ofdaily evaporation and evapotranspiration of winterwheat and maize by large-scale weighing lysimeter andmicro-lysimeter. Agricultural and Forest Meteorology,111, 109-120[26]Liu H Z, Tu G, Dong W J. 2008. Three-year changes ofsurface albedo of degraded grassland and croplandsurfaces in a semiarid area. Chinese Science Bulletin,53, 1246-1254[27]Lokupitiya E, Denning S, Paustian K, Baker I, Schaefer K,Verma S, Meyers T, Bernacchi C J, Suyker A, FischerM. 2009. Incorporation of crop phenology in simplebiosphere model (SiBcrop) to improve land-atmospherecarbon exchanges from croplands. Biogeosciences, 6,969-986[28]Mauder M, Liebethal C, Gockede M, Leps J P, Beyrich F,Foken T. 2006. Processing and quality control of fluxdata during LITFASS-2003 Boundary-LayerMeteorology, 121, 67-88[29]Nichols W E, Cuenca R H. 1993. Evaluation of the evaporativefraction for parameterization of the surface energybalance. Water Resources Research, 29, 3681-3690[30]Sànchez J M, Kustas W P, Caselles V, Anderson M C.2008. Modelling surface energy fluxes over maize usinga two-source patch model and radiometric soil andcanopy temperature observations. Remote Sensing ofEnvironment, 112, 1130-1143[31]Shen Y J, Zhang Y Q, Kondoh A, Tang C, Chen J, Xiao J,Sakura Y, Liu C, Sun H. 2004. Seasonal variation ofenergy partitioning in irrigated lands. HydrologicalProcesses, 18, 2223-2234[32]Shuttleworth W J, Gurney R J, Hsu A Y, Ormsby J P. 1989.FIFE: the variation in energy partition at surface fluxsites. Remote sensing and large-scale global processes.IAHS Publication, 186, 67-74[33]Su Z. 2002. The surface energy balance system (SEBS) forestimation of turbulent heat fluxes. Hydrology andEarth System Sciences, 6, 85-99[34]Stewart J B. 1996. Extrapolation of evaporation at time ofsatellite overpass to daily totals. In: Stewart J B, EngmanE T, Feddes R A, Kerr Y, eds., Scaling up in HydrologyUsing Remote Sensing. Wiley, Chichester, UK.Sugita M, Brutsaert W. 1991. Daily evaporation over a regionfrom lower boundary layer profiles measured withradiosondes. Water Resources Research, 27, 747-752[35]Suleiman A, Crago R. 2004. Hourly and daytimeevapotranspiration from grassland using radiometricsurface temperatures. Agronomy Journal, 96, 384-390[36]Trezza R. 2002. Evapotranspiration using a satellite-basedsurface energy balance with standardized groundcontrol. Ph D thesis, Utah State University, Logan,UT. p. 339.Velleman P. 1980. Definition and comparison of robustnonlinear data smoothing algorithms. Journal of theAmerican Statistical Association, 75, 609-615[37]Yang D, Li C, Hu H, Lei Z, Yang S, Kusuda T, Koike T,Musiake K. 2004. Analysis of water resources variabilityin the Yellow River of China during the last half centuryusing historical data. Water Resources Research, 40,W06502.Zhang L, Lemeur R. 1995. Evaluation of dailyevapotranspiration estimates from instantaneousmeasurements. Agricultural and Forest Meteorology,74, 139-154 |