Ground air temperature quality control method based on cooperative Kriging method

Abstract

The invention provides a ground air temperature quality control method based on a cooperative Kriging method. The ground air temperature quality control method based on the cooperative Kriging methodcomprises the following steps: in a first step, relative humidity observation data and air temperature observation data of meteorological observation stations are collected, basic quality control is performed on collected data, and a relative humidity data set and a temperature observation data set are obtained; in a second step, variation function values of humidity and temperature are calculatedseparately; in a third step, relationship between temperature and humidity is taken into consideration, a covariate functional equation is established, and a covariate function value is calculated; in a fourth step, a cooperative Kriging method quality control equation is established to calculate ground air temperature prediction results; in a fifth step, a prediction value in the fourth step iscompared with an actual observation value, and a model is evaluated. The beneficial effects of the method disclosed in the invention are that automatic real time air temperature observation of the meteorological stations can be improved via the ground air temperature quality control method based on the cooperative Kriging method.

Description

technical field [0001] The invention belongs to the technical field of air temperature observation, and in particular relates to a surface air temperature quality control method based on a collaborative kriging method. Background technique [0002] In recent years, the number of surface meteorological observation stations has increased, and the resulting meteorological data has also become larger and larger. Surface meteorological observation data are the basis for regional or global climate change research, numerical weather prediction, and data assimilation. Before the data is applied, quality control is the key link to ensure the high efficiency of the data. [0003] The quality control of surface meteorological observation data is divided into single-station quality control and multi-station quality control. When the number of observation stations around the inspected station is small, or the surrounding observation stations cannot provide effective reference data, sing...

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Problems solved by technology

[0004] However, there are too many influencing factors for multi-station quality control, and the quality of real-time temperature data observed by weather stations needs to be improved

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