Simulation system for modeling the AIRS/Aqua atmospheric sounder channels readings
Egor Y. Mordvin, А. А. Лагутин, Zohir Sarmisokov
Abstract
Egor Y. Mordvin, А. А. Лагутин, Zohir Sarmisokov
Abstract
We consider the simulation system for modeling the AIRS/Aqua channels readings. The key element of the system is the Line-By-Line Radiative Transfer Model (LBLRTM), which allows to calculate the intensity of the outgoing radiation with high spectral resolution (up to 0.001 cm-1). The results of simulations of the IR atmospheric sounder AIRS/Aqua readings for nighttime cloudless AIRS pixels in the area of the Atlantic Ocean are presented. Verification of the simulation system has been performed. Also we discuss the results of the “tuning” procedure designed to exclude systematic errors associated with an uncertainty of setting the optical and thermodynamic properties of the atmosphere.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We consider the simulation system for modeling the AIRS/Aqua channels readings. The key element of the system is the Line-By-Line Radiative Transfer Model (LBLRTM), which allows to calculate the intensity of the outgoing radiation with high spectral resolution (up to 0.001 cm-1). The results of simulations of the IR atmospheric sounder AIRS/Aqua readings for nighttime cloudless AIRS pixels in the area of the Atlantic Ocean are presented. Verification of the simulation system has been performed. Also we discuss the results of the “tuning” procedure designed to exclude systematic errors associated with an uncertainty of setting the optical and thermodynamic properties of the atmosphere.
Key concepts: Atmospheric Infrared Sounder, Atmospheric model, Environmental science, Computer science, Meteorology, Aerospace engineering, Remote sensing, Geology