An all-weather relative humidity estimation method based on full remote sensing data

Abstract

The invention discloses an all-weather relative humidity estimation method based on full remote sensing data. The method reads atmospheric water vapor content, surface temperature and temperature profile from MODIS satellite remote sensing water vapor product data, cloud product data and atmospheric profile product data respectively. , humidity profile and atmospheric pressure profile; use the surface temperature, atmospheric pressure profile and temperature profile to derive the all-weather saturated water vapor pressure; atmospheric water vapor content, atmospheric pressure profile and humidity profile to derive the all-weather actual water vapor pressure; use the obtained The all-weather relative humidity is calculated from the all-weather saturated water vapor pressure and the actual water vapor pressure, and the Savitzky‑Golay filter is performed to obtain the final all-weather relative humidity. The all-weather relative humidity estimation method based on all remote sensing data provided by the present invention completely utilizes MODIS satellite remote sensing data to calculate all-weather relative humidity without any auxiliary data, and the method is simple and the result is accurate.

Description

technical field [0001] The invention relates to the technical field of meteorological remote sensing, in particular to an all-weather relative humidity estimation method based on full remote sensing data. Background technique [0002] Relative humidity is defined as the ratio of actual water vapor pressure to saturated water vapor pressure. It is one of the most important parameters in the atmosphere and water circulation system, which is related to the formation of precipitation and the exchange process of water and energy between land and atmosphere. At the same time, relative humidity is also one of the most sensitive parameters of human comfort, and its accurate estimation is also of great significance to human life, health, production and life. [0003] Relative humidity is one of the basic parameters observed by traditional meteorological stations. However, the number of station observations is relatively insufficient after all, and it is difficult to obtain the spati...

AI Technical Summary

Problems solved by technology

Traditional optical and thermal infrared remote sensing can only obtain effective observation data under clear sky conditions, so it is difficult to obtain all-weather relative humidity

At the same time, most traditional methods also need some auxiliary data in the process of estimating relative humidity, which makes these methods may encounter many limitations in practical applications

Images