不同作物类型下蒸散发时间尺度扩展方法对比

Comparison of temporal extrapolation methods for evapotranspiration over variant underlying croplands

该文的目的是评价由瞬时潜热通量经过时间尺度扩展方法计算日蒸散发量的可靠性。为此,采用蒸发比法、改进的蒸发比法、正弦关系法及作物系数法等4种常用的蒸散发时间尺度扩展方法,针对位于华北平原的高营站和位于东北平原的通榆站的5种典型下垫面类型,分别对瞬时潜热通量进行时间尺度扩展,估算日蒸散发量,并与通量站采用涡度相关系统观测的日蒸散发量进行对比。结果表明,尽管4种方法在总体上具有一致性,但改进的蒸发比法的模拟精度最高(相对均方根误差20%左右),更适合于估算中国北方典型农田的日蒸散发量。然而,4种方法均存在系统误差,从而导致采用上午时段瞬时通量估算的日蒸散发量系统偏小,而采用下午时段估算的日蒸散发量系统偏大。

Quantitative estimation of evapotranspiration （ET） plays a significant role in the mechanism study of water cycling and agriculture management. Remotely sensed satellites provide spatial continuous surface parameters, which make estimation of regional surface ET possible. However, surface parameters retrieved by remote sensing data is discontinuous temporally, which can only provide 1-2 instantaneous values at satellite over-passing time. Thus, time scale extrapolation process is of crucial necessity for daily ET estimation. Recently, many ET time scale extrapolation methods have been proposed, such as sine function method, constant evaporative fraction （EF） method, and crop coefficient method. It has been proved that different models have different applicability and accuracy over variant climate conditions and underlying surfaces. Many studies assemble these extrapolation methods into remote sensing models to estimate regional daily ET in China, however, little researches focus on the accuracy assessment of these methods. The purpose of this study is to compare and assess the accuracy of four commonly used ET extrapolation methods over variant climate conditions and vegetation types. The study was conducted at Gaoying flux site located in North China Plain and Tongyu flux long-term land surface processes observational station located in North-east China Plain to represent semi-humid and semi-arid climate respectively. The predominant crops of Gaoying site are winter wheat and summer maize planted in rotation. Tongyu long-term land surface processes observational station has two flux sites located on the sorghum and degraded grassland, respectively. Each site of Tongyu station as well as Gaoying site has an EC system to record half-hour latent heat flux and sensible heat flux. Four commonly used ET extrapolation methods selected from literatures were tested in this study. The selection was carried out considering their applicability to the Remote sensing data used. The first method is the constant evaporative fraction （EF） method, which assumes the evaporative fraction, defined as the ratio between latent heat flux and available energy is stable during daytime under fair weather. The second method is a variance to constant EF method （so called variant EF method）, with a change that soil heat flux is neglected. One assumption implied in variant EF method is the average daily soil heat tends to be zero and could be excluded in estimating daily ET. The third method is sine function method, that proposed by the assumption that the ratio of instantaneous latent heat flux to daily ET to the diurnal trend of solar irradiance with a sine curve. The fourth method is the crop coefficient method, which implies the ratio of actual ET to reference ET （i.e. crop coefficient） stays stable during the day. Four wheat seasons and four maize seasons from 2005 to 2008 at Gaoying flux site, two seasons of sorghum, grass land and bare soil at Tongyu flux site are used in this study. By accumulating the half-hour LE measurements, daily ET is calculated and used as validation data. Results show that all the four methods have the similar patterns, but the variant EF method has the best accuracy and performs well over the typical croplands in north China. The assumption implying in the extrapolation methods that a certain parameter （such as EF, crop coefficient, etc.） remains stable during daytime does not work in the study areas. Therefore, estimation derived from morning satellite underestimates the daily evapotranspiration, but overvalues from afternoon satellite. The diurnal pattern of evaporative fraction will come next to get a better understand of extrapolation from instantaneous value to daily evapotranspiration, and a new extrapolation approach will be proposed.