Earticle

초록

영어

Hyper-spectral Atmospheric Infrared Sounder has many channels. Although, it has been carried out channel selection in the actual application process, but compared with the previous detector, the channel also seems more and thus easy to weak correlation between channels, which is not obey classical variational assimilation theory requires observation error is not related. Hyper-spectral sounder covering CO2 and water vapor absorption band channels, the nonlinear of water vapor channel brightness temperature is strong, the practical application of these channel combinations into the assimilation system together, the brightness temperature information mutual influence and feedback among channels are more complex. Different from the classical variational assimilation that given observation error is not change later, using the observational error re-estimation and robust variational assimilation based on Huber function to study the hyper-spectral sounder brightness temperature assimilation. The ideal experiments show that the observation error re-estimates and robust variational method assimilate hyper-spectral atmospheric infrared sounder can get better assimilation effect than the classical one.

목차

Abstract
 1. Introduction
 2. Hyper-spectral Sounder Assimilation Theoretical Analysis
  2.1 Re-estimated Observation Error
  2.2 Robust Variational Assimilation based on Huber function
 3. Performance Evaluation
  3.1 Relevant Model
  3.2 Ideal Data Analysis
  3.3 Re-estimated Observation Error
  3.4 Different Approach Comparison
 4. Conclusions
 Acknowledgements
 References

키워드

저자

• Jianwei Zhang [ College of Mathematics and Statistics, Nanjing University of Information Science & Technology ]
• Gen Wang [ College of Mathematics and Statistics, Nanjing University of Information Science & Technology ]
• Yin Yang [ National Meteorological Centers, China Meteorological Administration ]
• Xia Zhong [ School of Physics and Optoelectronic Engineering, Nanjing University of Information Science & Technology ]
• Jin Wang [ Computers and Software School, Nanjing University of Information Science & Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605