Abstract
Total Precipitable Water Vapor (TPW) has an impact on many atmospheric and hydrological processes which can be calculated by the spatial and temporal resolution of weather conditions. Moreover, precipitable water vapor plays a significant role in predicting the weather so that climate change can be constantly monitored by spatial and temporal variations. Water vapor is one of the most abundant greenhouse gases that has an increasing effect on the heat of the earth. Therefore, zonation of precipitable water vapor map in global scale improves the understanding of hydrologists from the hydrological cycle, Earth and atmosphere reactions, the energy cost, and climate change through greenhouse gas emissions. The complex reactions between water vapor, aeroes and clouds, and difficulties in estimating their true amounts make it impossible to evaluate the effect of water vapor on heightening the heat generated by greenhouse gases. One of the most common methods for estimating the precipitable water vapor is the use of remote sensing technique since satellite images are captured continuously within a spatial area. The most crucial advantage of estimating precipitable water vapor by using microwave data over other methods such as optical data is its application and availability on cloudy days. Since microwaves are capable of crossing the clouds, algorithms developed based on them remain functional, whereas optical-based algorithms do not show appropriate performance on the cloudy days. In this study, the efficiency of the remote sensing microwave data in estimating precipitable water vapor parameter has been evaluated in different areas of Iran in order to achieve an algorithm which can predict the desired parameter precisely at spatial resolution and within extreme weather conditions as well as drought.
Highlights
Water vapor is among the gases presented in the earth’s atmosphere; the amount of it, in comparison to others, is negligible
According to the World Meteorological Organization (WMO), PMP, in theory, is the maximum precipitation that can fall continuously in a particular region [1]
In order to evaluate the efficiency of the applied method to estimate the precipitable water vapor, 163 data from six Radiosonde stations have been trained to optimize the coefficients associated with the five relationships mentioned earlier
Summary
Water vapor is among the gases presented in the earth’s atmosphere; the amount of it, in comparison to others, is negligible. Despite this small portion, water vapor plays a significant role in atmospheric cycles, climate patterns, and hydrological cycles. The precipitable water vapor directly indicates the moisture content in the atmosphere, which is adopted to estimate maximum probable precipitation (PMP) using weather-meteorological methods. The objective of calculating PMP is to estimate maximum probable flood (PMF). PMF is a sensitive and crucial parameter in the design of reservoirs and water harvesting infrastructures in a watershed area.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
