2023
DOI: 10.3390/atmos14071177
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Reproducing High Spatiotemporal Resolution Precipitable Water Distributions Using Numerical Prediction Data

Abstract: Water vapor is an important greenhouse gas that affects regional climatic and weather processes. Atmospheric water vapor content is highly variable spatially and temporally, and continuous quantification over a wide area is problematic. However, existing methods for measuring precipitable water (PW) have advantages and disadvantages in terms of spatiotemporal resolution. This study uses high temporal resolution numerical prediction data and high spatial resolution elevation to reproduce PW distributions with h… Show more

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