The study postulates that crop rooting depth representation plays a vital role in simulating soil‐crop‐atmospheric interactions. Rooting depth determines the water access for plants and alters the surface energy participation and soil moisture profile. The aboveground crop growth representation in land surface models continues to evolve and improve, but the root processes are still poorly represented. This limitation likely contributes to the bias in simulating soil‐crop‐related variables such as soil moisture and associated water and energy exchanges between the surface and the atmosphere. In Noah‐MP‐Crop, the rooting depth of crops is assumed as 1 m regardless of crop types and the length of growing seasons. In this study, a simple dynamic rooting depth formulation was integrated into Noah‐MP‐Crop. On comparing with soil moisture observations from the in situ Ameriflux, USDA Soil Climate Analysis Network, and the remote‐sensed Soil Moisture Active Passive data set, the results highlight the improved performance of Noah‐MP‐Crop due to modified rooting depth. The improvements were noted in terms of soil moisture and more prominently in terms of the energy flux simulations at both field scale and regional scale. The enhancements in soil moisture profiles reduce the biases in surface heat flux simulations. The impact of rooting depth representation appears to be particularly significant for improving model performance under drought‐like situations. Although it was not possible to validate the simulated rooting depth due to lack of observations, the overall performance of the model helps emphasize the importance of enhancing the representation of crop rooting depth in Noah‐MP‐Crop. Plain Language Summary Current land surface models such as Noah‐MP‐Crop represent rooting depth as a constant (typically around 1 m). The constant rooting depth has been designed in the model framework to retain simplicity and also because there are very few observations to guide more spatiotemporally variable rooting depth information into the model. In this paper, reviewing the model performance, particularly under drought conditions, it was concluded that the roots need to have dynamic growth to simulate realistic evapotranspiration and soil moisture. This study added a simple dynamic rooting depth formulation into the Noah‐MP‐Crop model. The new formulation could simulate the root growth in response to the aboveground phenology, and the corresponding estimates of soil moisture and energy fluxes were compared with in situ measurements and satellite products. The results show that the formulation improves soil moisture simulations when compared with both field‐scale and regional‐scale data sets. The enhancements in soil moisture simulation, in turn, improve surface energy simulations. The impact of rooting depth simulation is significant for improving model performance under drought‐like situations. The overall performance of the model emphasizes the importance of enhancing the representation of crop rooting depth in land surface models.
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