Estimating leaf wetness duration with machine learning and climate reanalysis data
Sign Up to like & getrecommendations! Published in 2021 at "Agricultural and Forest Meteorology"
DOI: 10.1016/j.agrformet.2021.108548
Abstract: Abstract Estimating leaf wetness duration (LWD) is fundamentally important for crop disease monitoring and early warning. This study developed and evaluated a novel framework based on machine learning techniques with climate reanalysis data to estimate… read more here.
Keywords: machine; model; leaf wetness; machine learning ... See more keywords
SODA3: A New Ocean Climate Reanalysis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Climate"
DOI: 10.1175/jcli-d-18-0149.1
Abstract: AbstractThis paper describes version 3 of the Simple Ocean Data Assimilation (SODA3) ocean reanalysis with enhancements to model resolution, observation, and forcing datasets, and the addition of a... read more here.
Keywords: ocean climate; new ocean; climate; reanalysis ... See more keywords