Assessment of the CubeSat Infrared Atmospheric Sounder impact on global numerical weather prediction using observational system simulation experiments

被引:3
|
作者
Zhou, Yan [1 ,2 ]
Shahroudi, Narges [1 ,3 ]
Boukabara, Sid-Ahmed [1 ]
Ide, Kayo [4 ]
Zhu, Tong [1 ,5 ]
Hoffman, Ross [1 ,2 ]
Casey, Sean [6 ,7 ]
Iturbide-Sanchez, Flavio [1 ]
机构
[1] NOAA, NESDIS, Ctr Satellite Applicat & Res STAR, College Pk, MD 20740 USA
[2] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
[3] Riverside Technol Inc, Silver Spring, MD USA
[4] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[5] Colorado State Univ, Cooperat Inst Res Atmosphere, Ft Collins, CO 80523 USA
[6] Univ Miami, Cooperat Inst Marine & Atmospher Studies, Miami, FL USA
[7] NOAA, Atlantic Oceanog & Meteorol Lab, Miami, FL 33149 USA
关键词
CubeSat; IR sounder; CubeSat Infrared Atmospheric Sounder; data assimilation; observational system simulation experiments; numerical weather prediction; ENSEMBLE DATA ASSIMILATION; OSSE-BASED EVALUATION; VALIDATION; SELECTION; CHANNELS;
D O I
10.1117/1.JRS.13.032508
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The CubeSat Infrared Atmospheric Sounder (CIRAS) is a proposed small satellite IR sounder developed in response to the challenges of high cost and possible data gaps for currently operational hyperspectral IR sounders, such as Atmospheric Infrared Sounder, Infrared Atmospheric Sounding Interferometer, and Crosstrack Infrared Sounder. A key objective of CIRAS is to demonstrate the technologies required for a low cost-to-orbit, operational IR sounder. CIRAS was designed by National Aeronautics and Space Administration's Jet Propulsion Laboratory, with 625 channels measuring upwelling IR radiation of the Earth in the mid-wavelength IR spectrum region. Through observational system simulation experiments, the impact of assimilating CIRAS on global numerical weather prediction was assessed. CIRAS was simulated by applying the Community Radiative Transfer Model to profiles extracted from the Goddard Earth Observing System Model, Version 5 nature run for an afternoon polar orbiting sensor, and then assimilated by the National Centers for Environmental Prediction Global Data Assimilation System. Assimilating CIRAS improved global analysis and forecasts, when added to the currently operational observing configuration and to a data gap scenario. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
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页数:16
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