The oasis cold island effect, a common phenomenon whereby surface temperatures in oases are lower than those in surrounding desert areas, profoundly impacts the lives of oasis residents. Although previous studies have verified the importance of the Bowen ratio regarding the oasis cold island effect intensity during summer, the contributions of other factors (e.g., aerodynamic resistance) remain to be investigated in more detail. Here, considering two paired micrometeorological observation sites (i.e., one site in an oasis and an adjacent site in a desert area) and two attribution methods (i.e., the intrinsic biophysical mechanism (IBM) and two-resistance mechanism (TRM)), we quantitatively apportion the daytime oasis cold island effect intensity to atmospheric factors (e.g., incoming shortwave radiation, incoming longwave radiation, air temperature, pressure, and specific humidity) and surface factors (e.g., heat storage, aerodynamic resistance, surface resistance, surface albedo and emissivity). The results indicate that both methods can be applied to model the oasis cold island effect intensity accurately, and these methods are insensitive to a relatively small energy imbalance (e.g., ∼14% in our study). Furthermore, both methods reveal that in summer, the surface resistance and aerodynamic resistance are the two key factors that control the oasis cold island effect intensity, whereas in winter, the aerodynamic resistance (i.e., convection efficiency) becomes the dominant contributor. This highlights the appreciable role of the aerodynamic resistance in the oasis cold island effect intensity. Moreover, from a long-term sustainability viewpoint, we argue that an increase in convection efficiency (i.e., indigenous higher-drought tolerance vegetation and more shelterbelts) across the oasis is one important way to maintain and enhance the oasis cold island effect intensity in the future.

绿洲冷岛效应是绿洲地表温度低于周边沙漠地区的普遍现象，严重影响绿洲居民的生活。尽管之前的研究已经证实了鲍温比对于夏季绿洲冷岛效应强度的重要性，但其他因素（例如空气动力阻力）的贡献仍有待更详细地研究。在这里，考虑到两个配对的微气象观测站点（即一个位于绿洲的站点和一个位于沙漠地区的相邻站点）和两种归因方法（即内在生物物理机制（IBM）和双阻力机制（TRM）），我们将白天绿洲冷岛效应强度定量分配给大气因素（例如，传入的短波辐射、传入的长波辐射、空气温度、压力和比湿度）和表面因素（例如，蓄热、空气动力阻力、表面阻力、表面反照率和发射率）。结果表明，这两种方法都可以用于对绿洲冷岛效应强度进行准确建模，并且这些方法对相对较小的能量不平衡（例如，在我们的研究中约为 14%）不敏感。此外，两种方法都表明，在夏季，表面阻力和空气动力阻力是控制绿洲冷岛效应强度的两个关键因素，而在冬季，空气动力阻力（即对流效率）成为主导因素。这凸显了空气动力阻力在绿洲冷岛效应强度中的显着作用。此外，从长期可持续性的角度来看，