Exploring spatiotemporal patterns and physical controls of soil moisture at various spatial scales

摘要: Soil moisture variability of various spatial scales is analyzed based on empirical orthogonal function (EOF) method using soil datasets with resolutions: 1 km eco-hydrological model simulation, 0.25° passive microwave (Advanced Microwave Scanning Radiometer for the Earth Observing System, AMSR-E) dataset, and 0.5° land surface simulation from Climate Predictor Center (CPC). All three generate EOFs that explain similar variances those generated in situ observations agro-meteorological network. Using AMSR-E product it found primary pattern obtained watershed scale has a strong connection to topographic attributes, followed by texture rainfall variability, as suggested correlation between EOF mode (EOF1) landscape attributes. However, analysis both CPC at regional reaches conclusion indices, such sand clay content, higher importance EOF1 (explaining 61 % variance) than topography is. Furthermore, property spring autumn, which indicates water-holding drainage capabilities are more important under dry conditions. At national scale, combined effects feature clearly exhibited EOF1. The study results reveal different emphases should be placed accurate acquisition attributes estimation according scales.