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 comprises the steps: reading the atmospheric water vapor content, the surface temperature, the temperature profile, the humidity profile and the atmospheric pressure profile from MODIS satellite remote sensing water vapor product data, cloud product data and atmospheric profileproduct data respectively; deriving the all-weather saturated water vapor pressure by utilizing the surface temperature, the atmospheric pressure profile and the temperature profile; deducing the all-weather actual vapor pressure according to the atmospheric vapor content, the atmospheric pressure profile and the humidity profile; and calculating the all-weather relative humidity by utilizing theobtained all-weather saturated water vapor pressure and actual water vapor pressure, and carrying out Savitzky-Golay filtering to obtain the final all-weather relative humidity. According to the all-weather relative humidity estimation method based on the full remote sensing data, the all-weather relative humidity is calculated by completely utilizing the MODIS satellite remote sensing data on thebasis of not depending on any auxiliary data, so that 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

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