## 5 Conclusions  
The mapping of ET and its individual components of surface evaporation (E) and canopy-based transpiration (T) at spatial scales suitable for irrigation management has the potential to lead efforts in the conservation of agricultural water resources and improve irrigation and water use efficiencies in water-limited systems. This study evaluated the partitioning of E and T within the context of the ALEXI/DisALEXI modeling framework using a modified Priestley-Taylor approach (DisALEXI-PT) and a Penman-Monteith approach (DisALEXI-PM). Analysis was performed over three wine grape vineyard sites and three almond orchard sites all located in California for the year 2021. The sites are primary targets of micrometeorological and biophysical field measurements as part of the USDA-ARS Grape Remote sensing Atmospheric Profile and Evapotranspirationpiration eXperiment (GRAPEX) and Tree Remote sensing of Evapotranspiration eXperiment (TREX) projects. The results indicate that the DisALEXI-PM approach estimates canopy temperatures roughly 5 \({}^{\circ}\)C cooler and soil temperatures roughly 5 \({}^{\circ}\)C warmer when compared to DisALEXI-PT (average for all sites). These temperature differences cause subsequent differences in evaporation (E) and transpiration (T) values, with DisALEXI-PM producing E values 2.69 mm day\({}^{-1}\) lower and T values 2.64 mm day\({}^{-1}\) higher than those estimated by DisALEXI-PT. The differences are in part due to DisALEXI-PM accounting for the effects of VPD, allowing T\({}_{\rm c}\) to decrease and subsequently T to increase under more advective conditions. DisALEXI-PT does not have a mechanism to increase T in such a way. The evaluation of the iterative process required for ALEXI/DisALEXI indicates that the DisALEXI-PM ET values converge on the ALEXI ET with more proportionate adjustment to E and T, whereas the DisALEXI-PT convergence is primarily driven by adjustments to E. Such a difference may present misguided partitioned fluxes, should the ALEXI ET and the disaggregated DisALEXI ET be considerably different. Improvement in the DisALEXI-PM-derived E and T estimates can be attained by incorporating r\({}_{\text{c}}\) values defined by local surface conditions rather than holding constant at 50 s m\({}^{-1}\). Spatial analysis aligns with tower-based evaluations, suggesting that the resulting differences in E and T between the approaches are also found over areas surrounding each study site. In water-limited agricultural systems where distinct differences between the soil and canopy are prevalent, it is important to accurately partition ET into individual contributions of E and T as the irrigation strategy is likely to focus on reducing water loss from E rather than T. The analysis presented here has the potential to drive improvements in the ALEXI/DisALEXI modeling framework to provide more specific soil- and canopy-consumptive water use information in unique canopy structures characteristic of irrigated woody perennial crops, allowing for improved irrigation and water use efficiencies in these water-limited systems. Conceptualization, K.K. and W.K. ; Methodology, K.K. and M.A. ; Formal analysis, K.K., M.A., N.B. and W.K. ; Investigation, K.K. ; Resources, F.G., E.Z., C.H., A.M., S.C., M.M.A. and S.S.; Writing--original draft, K.K. ; Writing--review & editing, K.K., M.A., N.B., W.K., E.Z., A.M., O.R.B. and S.S.; Visualization, K.K. and N.B. All authors have read and agreed to the published version of the manuscript. This research was funded by the California Department of Agriculture (Grant No. 20-0001-031-SF) with funding also from NASA Applied Sciences-Water Resources Program (Grant No. NNHH17 AE39I) and by the U.S. Department of Agriculture, Agricultural Research Service. Data Availability Statement: The data created in this study are available on request from the corresponding author.