Abstract
Iteration method for simultaneous estimation of vertical profiles of air temperature and water vapor with the high spectral resolution of sounder of AQUA/AIRS data is proposed. Through a sensitivity analysis based on the proposed method for the several atmospheric models simulated by MODTRAN, it is found that the proposed method is superior to the conventional method by 41.4% for air temperature profile and by 88.9% for relative humidity profile.
Highlights
Atmospheric sounding can be improved by using the high spectral resolution of sounder, such as AQUA1/AIRS2 onboard AQUA satellite, IASI3, instead of HIRS4, TOVS5 used in the past [1]
A method for water vapor profile retrievals by means of minimizing difference between estimated and brightness temperature derived from AIRS data and radiative transfer model is proposed [5]
Air temperature (a) and relative humidity (b) profiles of MODTRAN derived and the estimated by the conventional method as well as the estimated by the proposed method
Summary
Atmospheric sounding can be improved by using the high spectral resolution of sounder, such as AQUA1/AIRS2 onboard AQUA satellite, IASI3, instead of HIRS4, TOVS5 used in the past [1]. A sensitivity analysis for air temperature profile estimation method around the tropopause using simulated AQUA/AIRS data is carried out [4]. A method for water vapor profile retrievals by means of minimizing difference between estimated and brightness temperature derived from AIRS data and radiative transfer model is proposed [5]. These sensors have large number of channels, and have large amount of atmospheric sounding information in the measurement data. A simultaneous estimation of vertical profiles of air temperature and water vapor with AQUA/AIRS data is proposed. Conclusion is described with some discussions and future research work
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Computer Science and Applications
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
