A terrestrial cloud detection method based on amsu-a data

Abstract

The present invention proposes a terrestrial cloud detection method based on AMSU-A data, through the integration of cloud index A index and M index , can eliminate most of AMSU‑A's cloud observations on land, and the structure and edge of cloud systems are detected more accurately. The method proposed by the invention can be applied to a data assimilation system to improve the assimilation of AMSU-A channel data affected by the cloud.

Description

A terrestrial cloud detection method for AMSU-A data technical field [0001] The invention belongs to the field of atmospheric science and technology, and relates to a method for detecting land clouds in AMSU-A data. Background technique [0002] Among all the satellite data assimilated by the operational assimilation system of numerical weather forecasting at present, there are atmospheric vertical detection capabilities. Data from the Advanced Microwave Sounding Unit-A (AMSU‑A, Advance Microwave Sounding Unit‑A) of The error contributes the most. AMSU‑A has 15 channels, including 3 windowed channels (23.8, 31.4, and 89.0GHz) for cloud and rain detection and 12 oxygen absorption channels distributed at 50‑60 GHz to detect atmospheric temperature profiles. Radiant brightness temperatures observed by AMSU‑A are not Therefore, the radiative transfer mode is required for variable conversion. Due to the current radiative transfer patterns affecting the physical processes...

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Problems solved by technology

[0009] The present invention aims at the problem that the AMSU-A land data cloud detection is difficult due to the land surface emissivity being close to the cloud, and based on the different response characteristics of different channels of the microwave thermometer and the microwave hygrometer to the cloud, a kind of AMSU-A data land cloud is proposed. Detection method to improve the data assimilation effect of AMSU-A data assimilation system

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