Analysis of space-time pattern in evapotranspiration and meteorological driving factors over the source region of the Yellow River
Shanghai（2011）
Abstract
To analyze the space-time distribution characteristic of evapotranspiration (ET) in the source region of the Yellow River, 16-day synthetic MODIS remote sensing products data, hydrological and meteorological data from 2000 to 2009 were used to build an ET dataset with long time series by SEBAL model, and then study the correlation between ET and meteorological factors in space. The quantitative estimation of the regression model has been established on different time scales and the model and its error was tested and analysed respectively. The results demonstrate that the prediction model built for the study area can pass the significance test at 0.01 confidence level is suit for the prediction of ET in different regions and seasons.
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Key words
correlation analysis,radiometry,remote sensing,transpiration,evapotranspiration(et),yellow river source region,driver model,meteorological data,synthetic modis data products,space-time pattern analysis,genetic programming,regression analysis,hydrological data,china,quantitative estimation,sebal model,regression model,rivers,meteorology,hydrological techniques,time-lag effect,evaporation,evapotranspiration space-time distribution characteristics,ad 2000 to 2009,time series harmonic,atmospheric boundary layer,prediction model,meteorological driving factors,time series,correlation,evapotranspiration,temperature,space time,time series analysis
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