Peer Review #2 of "Analyzing moisture-heat coupling in a wheat-soil system using data-driven vector autoregression model (v0.1)"
Abstract:Soil temperature and moisture have a close relationship, the accurate controlling of which is important for crop growth. Mechanistic models built by previous studies need exhaustive parameters and seldom consider time stochasticity and lagging effect. To circumvent these problems, this study designed a data-driven stochastic model analyzing soil moisture-heat coupling. Firstly, three vector autoregression models are built using hourly data on soil moisture and temperature at the depth of10 cm, 30 cm, and 90 cm… Show more
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