How does Fengyun-1 meteorological satellite explore meteorology?

Fengyun-1 meteorological satellite is the first generation of sun-synchronous orbit meteorological satellite developed in China. Satellites can send real-time meteorological cloud pictures to cloud picture receiving stations all over the world, and can also detect ocean water color and conduct remote sensing research on ocean temperature; The satellite carries a space particle composition monitor, which can study the space environment.

Fengyun-1 meteorological satellite is a series of polar-orbiting meteorological satellites in China. * * * Four satellites were launched, namely FY-/KOOC-0/A, FY-/KOOC-0/B, FY-/KOOC-0/C and FY-/KOOC-0/D.

FY- 1A and 1B were launched in September 1988 and September 1990 respectively. They are experimental meteorological satellites. The remote sensors carried by these two satellites have good imaging performance, and the experimental data and operational experience obtained provide meaningful data for the development and management of subsequent satellites. FY-/KOOC-0/C was launched on/KOOC-0/May, 1999/KOOC-0/0, and operated in a sun-synchronous polar orbit of 90/KOOC-0/km, with a design life of 3 years. The main remote sensor of the satellite is a visible-infrared scanner with very high resolution. The number of channels is increased from 5 FY- 1A/B to 10, and the resolution is 1 100 meters. Remote sensing data obtained by satellites are mainly used for weather forecasting and environmental monitoring, such as vegetation, ice and snow cover, floods, forest fires and so on. FY- 1C satellite is included in the world meteorological operational application satellite sequence.

The FY- 1D satellite was prototype designed in 2000, and launched by Long March 4 B rocket at Taiyuan Satellite Launch Center on May 15, 2002.

Fengyun-1 meteorological satellite is the first transmission polar orbit remote sensing satellite in China. Its main task is to obtain atmospheric, cloud, land and ocean data at home and abroad, and collect relevant data for weather forecast, climate forecast, natural disasters and global environmental monitoring.

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