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In this study, we investigated the long-term spatial distribution of atmospheric precipitable water vapor (PWV) in Thailand using a statistical model that relates the satellite-derived brightness temperature to the PWV. In the validation process, we used an independent dataset obtained from PWV measurements at four stations, for which the mean of the PWV is 4.42±1.06 cm and that of the model is 4.42±0.89 cm. This result indicates that the model performs well. After validation, the model was used to calculate PWV based on satellite data for the whole country at a spatial resolution of 4 km 4 km and the results of which are presented as monthly and yearly PWV maps. The monthly PWV maps reveal that the PWV values are relatively high throughout the country during the wet season (May-October) and low in the dry season (November-April). The yearly PWV map indicates that the PWV varies with latitude, with low values in the north that gradually increase to high values in the south.
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