Research on Atmospheric Water Vapor: Monitoring and Characteristics
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Meteorology".
Deadline for manuscript submissions: closed (10 November 2022) | Viewed by 2295
Special Issue Editors
Interests: atmospheric water vapor; ground-based GNSS signal processing; remote sensing
Interests: solar radiation; clouds; aerosols; water vapor; ozone
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Water vapor is a well-known trace gas. Despite its low concentration in the atmosphere, it has a paramount importance in many processes like the hydrological cycle, energy transportation or greenhouse effect. For instance, it is main natural contributor to the greenhouse effect, being one of the main absorbers of infrared radiation from the Earth, part of which is emitted back to the Earth’s surface. Moreover, water vapor varies widely at different scales in the spatial and temporal domains, and therefore it is difficult to study and needs continuous monitoring through different kinds of instrumentation. There is no single instrument able to catch all the variation of the water vapor fields, and therefore the use of coincident data-sets is very valuable in the study of this gas.
We present a Special Issue of the journal Atmosphere titled Research on Atmospheric Water Vapor: Monitoring and Characteristics. This Special Issue aims to present the state-of-the-art in topics related to any water vapor instrumentation (radiosondes, microwave radiometers, photometers, global navigation satellite systems, and so on) and their validation, as well as studies on spatio-temporal analysis, trend analysis, and the study of the water vapor cycle at different time scales. It also covers studies using numerical weather prediction models, assimilation experiments, and the study of the radiative effects of water vapor.
Dr. Javier Vaquero-Martínez
Dr. Manuel Antón
Guest Editors
Manuscript Submission Information
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Keywords
- water vapor
- spatio-temporal analysis
- validation
- trends
- instrumentation
- modeling
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