Deep-learning-based prediction of precipitable water vapor in the Chajnantor area
Date Issued
2026-01
Author(s) USM
DOI
10.1051/0004-6361/202556107
Abstract
Context. Astronomical observations at millimeter and submillimeter wavelengths strongly depend on the amount of precipitable water vapor (PWV) in the atmosphere, which directly affects the sky transparency and decreases the signal-to-noise ratio of the si
Subjects
