The study aims to investigate the relationship between dominant climate variabilities namely El Niño-Southern Oscillation (ENSO), and Indian Ocean Dipole (IOD) versus rainfall, and vertical humidity in Chiangmai, Thailand. The Oceanic Niño Index (ONI) which represents ENSO status and Dipole Mode Index (DMI) which represent IOD indicator were collected for the period 1986-2020 (35 years). Subsequently, the 12-month lag correlations were analyzed between both indicators against rainfall and vertical moisture at cloud-base and cloud-top height levels for the same time periods. The results indicate that the impacts of both climate variabilities may not occur during the same period of the phenomenon. The effects of ENSO to weather pattern in Chiang Mai might be lagged by 0 to 12 months. Even though the correlation of the humidity versus ONI and DMI is fluctuated. The correlation results of ONI and cloud-base humidity level has moderate values and consistent with La Niña events. However, the DMI correlations against rainfall and mixing ratio are inconclusive due to insufficient data. The relationship between ONI index, rainfall, and mixing ratio can be used to predict the future rainfall and atmospheric moisture once they are validated. Keyword: ENSO, ONI, DMI, IOD, rainfall, mixing ratio, vertical humidity