Reliable partitioning of precipitation (P) into runoff (Q) and evapotranspiration (E a ) is crucial for hydrological research and application, especially for regions with scarce data (Yang et al., 2007;Zhang et al., 2018). Understanding the controls of catchment properties on hydrological partitioning helps achieve reliable hydrology partitioning, but remains a challenging task (Sinha et al., 2020). The Budyko framework has been widely used to establish the relationship between evaporative ratio (i.e., E a /P) and relative availability of water and energy (i.e., aridity index (AI), the ratio between long-term E P and P, AI = E p /P) (Budyko, 1974;Cheng et al., 2011). In the widely used Budyko framework proposed by Fu (1981) (i.e., Fu's equation), the controls of other secondary factors on partitioning are lumped into a landscape parameter (ω) that includes intra-annual climate variability, soil, vegetation, and topography (Cheng et al., 2021;Fu, 1981;Zhang et al., 2004). Note that Fu's equation is further explained in Section 2.1. Parameterizing ω with catchment properties not only improves the simulation accuracy of Fu's equation (Greve et al., 2015), but also reveals the controls of climate, physiography, and vegetation on hydrological partitioning (Abatzoglou & Ficklin, 2017). However, current understanding of controls on hydrological partitioning are still very limited, and building a physically-based relationship between ω and the control factors is difficult due to the complex (nonlinear) interactions between climate and catchment processes (