A joint analysis of gross primary production and evapotranspiration of Australia using eddy covariance, remote sensing and land surface modelling approaches

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The aim of this thesis is to analyze the patterns of gross primary production (GPP) and evapotranspiration (ET) across Australian biomes in combination of eddy covariance, remote sensing and land surface model (LSM) methods, taking advantage of their respective applicability on different space and time scales. To do this, I (1) used the wavelet method to decompose eddy covariance observed half-hourly GPP and ET into different frequencies from hourly to annual to investigate the coupling of GPP and ET and their interactions with climate and vegetation variability over hourly to annual time-scales, (2) established GPP-EVI relationships across multiple biomes using observed GPP and MODIS EVI and applied them to the global scale, (3) developed an pure remote sensing ET model (TG-SM) in combination of MODIS EVI, LST and microwave soil moisture data, (4) identified and optimized key above- and below-ground processes of GPP and ET in the CABLE model across 10 Australian flux sites, and (5) benchmarked the CABLE model across the whole Australia through integrative use of remote sensing products of GPP and ET predicted by both my own remote sensing models and other available products. Each chapter provides new insights into the popular approach for estimating GPP or ET, while together they form a strong example in joint analysis of GPP and ET across various spatio-temporal scales.
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