网格降水、潜在蒸散发（PET）、地表温度产品为无资料地区的水文模拟提供了可供选择的数据来源，但是其在具体区域的水文应用还需做进一步的评估。本研究针对不同的缺资料情形，基于 HBVlight 水文模型综合评估了 6 种网格降水产品（CHIRPS、CMORPH、GPM、GSMaP、MSWEP 和 PERSI‐ANN）、3种潜在蒸散发产品（GLDAS、GLEAM 和 ERA5-Land）和 1种地表温度产品（MOD11A1）及其组合在讨赖河流域的水文适用性，分析了不同降水和潜在蒸散发输入对实际蒸散发、土壤水分等水文变量的影响，据此提出不同缺资料情形的水文模拟策略。结果表明：不同降水产品驱动的径流模拟效果在讨赖河流域的表现各异，其中GPM和MSWEP数据驱动的径流模拟效果较好，其验证期的NSE（Nash-Sut‐cliffe Efficiency）分别为0. 58和0. 54。在缺乏降水数据时，推荐使用GPM和MSWEP降水产品作为降水的替代数据源。潜在蒸散发产品的选择则对径流模拟的影响较小，验证期的NSE介于0. 61~0. 74。若仅关注径流模拟的精度，GLDAS、GLEAM和ERA5-Land产品均可作为潜在蒸散发的替代数据源。在缺乏地表温度数据时，MOD11A1产品驱动的径流模拟在验证期的NSE为0. 61。在缺乏所有的气象数据资料时，最优的产品组合为GPM和MSWEP与其他3套潜在蒸散发产品组合，其在率定期和验证期的NSE均在 0. 53以上。综合来看，网格产品能在一定程度上弥补无资料或缺资料地区水文模拟的不足，未来可以结合更多的流域对其适用性进行进一步评估。

Gridded precipitation，potential evapotranspiration（PET），and land surface temperature（LST）data‐ sets provide valuable alternatives for hydrologic modeling in ungauged areas. However，their performance in specific regions requires further investigation. This study evaluates six gridded precipitation products（CHIRPS， CMORPH，GPM，GSMaP，MSWEP，and PERSIANN），three PET products（GLDAS，GLEAM，and ERA5- Land），and one LST product（MOD11A1）in the Taolai River Basin. The effects of different precipitation and PET inputs on actual evapotranspiration（AET）and soil moisture were also analyzed. The results indicate that runoff simulations vary significantly depending on the precipitation product used. GPM and MSWEP perform best，achieving Nash-Sutcliffe efficiency（NSE）values of 0. 58 and 0. 54，respectively，during the validation period. These two products are reliable alternatives for precipitation sources in data-scarce scenarios. In contrast， the selection of PET products exhibits limited impact on runoff simulations，with the NSE values ranging from 0. 61 to 0. 74. If runoff simulation accuracy is the primary concern，the GLDAS，GLEAM，and ERA5-Land products are suitable substitutes. Additionally，when surface temperature data are unavailable，the MOD11A1 product achieves an NSE of 0. 61 during the validation period. For scenarios with no meteorological observations，combining GPM or MSWEP precipitation data with any of the three PET products and MOD11A1 yields NSE values exceeding 0. 53 in both calibration and validation periods. This study confirms that gridded datasets can partially mitigate hydrological simulation challenges in data-scarce regions，while recommending expanded applicability assessments across more basins to enhance reliability.