Reported by: Hua Gong
Translated by: Sun Jiayue
Edited by: Garrick Jones
Date：2017-3-16
On February 27, the State Administration of Science, Technology and Industry for National Defense together with the China meteorological administration sent out a joint press and announced the satellite cloud imagery of the new geostationary meteorological satellite- "FY-4". The ultra-black coating and film featuring as low volatility, antiradiation and high solar absorption rate invented by Professor Wu Xiaohong and his research team have replaced the import material completely, and were applied successfully in the main load-interference of the "FY-4" -the atmospheric sounding interferometer.
Recently, the Shanghai Institute of Technical Physics of the Chinese Academy of Sciences which took charge of the research and development of the atmospheric sounding interferometer sent us a grateful letter. They wanted to thank Professor Wu Xiaohong and his research team for their great contribution to the research and development of the atmospheric sounding interferometer.
The letter said that: the ultra-black coating and film made by Professor Wu Xiaohong and his team have the advantage of low volatility, antiradiation and high solar absorption rate which replace imported material completely, and have been applied successfully in the sun lens hood of the "FY-4". Thus, it has guaranteed the successful innovation and manufacture of the atmospheric sounding interferometer.
It is understood that the atmospheric sounding interferometer made by the Shanghai Institute of Technical Physics of the Chinese Academy of Sciences is the world first atmospheric sounding interferometer in the static orbit. It has achieved a combination of imaging and Fourier spectrometer principles, and made a major breakthrough for the geostationary meteorological satellites. What’s more, it will lead the terrestrial remote sensing into a three-dimensional stage, which will not only fill the absence in the area of the high-track three-dimensional terrestrial remote sensing, but also create the possibility for a deeper and acute prediction for catastrophic climate changes.
The Grateful Letter
