A New Global Climatology of Annual Land Surface Temperature

摘要: Land surface temperature (LST) is an important parameter in various fields including hydrology, climatology, and geophysics. Its derivation by thermal infrared remote sensing has long tradition but despite substantial progress there remain limited data availability challenges like emissivity estimation, atmospheric correction, cloud contamination. The annual cycle (ATC) a promising approach to ease some of them. basic idea fit model the ATC derive parameters (ACP) been proposed before so far not tested on larger scale. In this study, new global climatology LST based daily 1 km MODIS/Terra observations was processed evaluated. derived were robust free missing due clouds. They allow estimating patterns under largely cloud-free conditions at different scales for every day year further deliver measure its accuracy respectively variability. generally showed low redundancy mostly reflected real conditions. Important influencing factors included climate, land cover, vegetation phenology, anthropogenic effects, geology which enable numerous potential applications. datasets will be available CliSAP Integrated Climate Data Center pending additional processing.