“…Despite the large diversity of coupling signals in different global circulation models (GCMs), they tend to agree on several regions of strong coupling signals, initially identified in the Global Land-Atmosphere Coupling Experiment (GLACE) [Koster et al, 2004[Koster et al, , 2006, which has inspired a series of global land-atmosphere coupling studies in the past decade. These studies range in spatial and temporal scales and use a combination of models, reanalysis or satellite products [e.g., Dirmeyer, 2006Dirmeyer, , 2011Dirmeyer et al 2012;Findell et al, 2011;Taylor et al, 2012], with associated trade-offs. For instance, observational-based analyses are limited by an inability to explore the relationship of causality and short temporal and sparse spatial coverage, while reanalysis and models are impaired by their PBL and cloud parameterization schemes [Seneviratne et al, 2010;Ferguson et al, 2012;Guillod et al, 2015], though this can be mitigated to some degree by assimilating rainfall data [Findell et al, 2011].…”