Sunglint Impact on Atmospheric Soundings from Hyperspectral Resolution Infrared Radiances

YAO Zhigang; Jun LI; Jinlong LI

doi:10.1007/s00376-011-1013-8

Impact Factor: 3.9

Volume 29 Issue 3

May 2012

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 2012 > 29(3): 455-463

Sunglint Impact on Atmospheric Soundings from Hyperspectral Resolution Infrared Radiances

1.
Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA,Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA,Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA

doi: 10.1007/s00376-011-1013-8

Abstract
References
Related papers
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Abstract:
The mid-wave infrared band (3--5 m) has been widely used for atmospheric soundings. The sunglint impact on the atmospheric parameter retrieval using this band has been neglected because the reflected radiances in this band are significantly less than those in the visible band. In this study, an investigation of sunglint impact on the atmospheric soundings was conducted with Atmospheric InfraRed Sounder observation data from 1 July to 7 July 2007 over the Atlantic Ocean. The impact of sunglint can lead to a brightness temperature increase of 1.0 K for the surface sensitive sounding channels near 4.58 m. This contamination can indirectly cause a positive bias of 4 g kg-1 in the water vapor retrieval near the ocean surface, and it can be corrected by simply excluding those contaminated channels.
- atmospheric sounding,
- hyperspectral resolution infrared radiances,
- sunglint
References

[1]	Eun-Han KWON, Jinlong LI, B. J. SOHN, Elisabeth WEISZ, 2012: Use of Total Precipitable Water Classification of A Priori Error and Quality Control in Atmospheric Temperature and Water Vapor Sounding Retrieval, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 263-273. doi: 10.1007/s00376-011-1119-z
[2]	MA Shuqing, CHEN Hongbin, WANG Gai, PAN Yi, LI Qiang, 2004: A Miniature Robotic Plane Meteorological Sounding System, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 890-896. doi: 10.1007/BF02915591
[3]	Sibo ZHANG, Li GUAN, 2017: Preliminary Study on Direct Assimilation of Cloud-affected Satellite Microwave Brightness Temperatures, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 199-208. doi: 10.1007/s00376-016-6043-9
[4]	Li Jun, 1995: The Capability of Atmospheric Profile Retrieval from Satellite High Resolution Infrared Sounder Radiances, ADVANCES IN ATMOSPHERIC SCIENCES, 12, 255-258. doi: 10.1007/BF02656838
[5]	Young-Chan NOH, Byung-Ju SOHN, Yoonjae KIM, Sangwon JOO, William BELL, Roger SAUNDERS, 2017: A New Infrared Atmospheric Sounding Interferometer Channel Selection and Assessment of Its Impact on Met Office NWP Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1265-1281. doi: 10.1007/s00376-017-6299-8
[6]	Yanni Qu, Mitchell D. Goldberg, Murty Divakarla, 2001: Ozone Profile Retrieval from Satellite Observation Using High Spectral Resolution Infrared Sounding Instrument, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 959-971.
[7]	Pei WANG, Zhenglong LI, Jun LI, Timothy J. SCHMIT, 2021: Added-value of GEO-hyperspectral Infrared Radiances for Local Severe Storm Forecasts Using the Hybrid OSSE Method, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1315-1333. doi: 10.1007/s00376-021-0443-1
[8]	Li Jun, Zhou Fengxian, Zeng Qingcun, 1994: Simultaneous Non-linear Retrieval of Atmospheric Temperature and Absorbing Constituent Profiles from Satellite Infrared Sounder Radiances, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 128-138. doi: 10.1007/BF02666541
[9]	Jun LI, Wei HAN, 2017: A Step Forward toward Effectively Using Hyperspectral IR Sounding Information in NWP, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1263-1264. doi: 10.1007/s00376-017-7167-2
[10]	Li Jun, Huang Hung-Lung, 1994: Optimal Use of High Resolution Infrared Sounder Channels in Atmospheric Profile Retrieval, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 271-276. doi: 10.1007/BF02658145
[11]	Xiao Jingwei, Lu Naiping, Zhou Mingyu, 1985: APPLICATION OF SODAR SOUNDING TO ATMOSPHERIC DISPERSION-MIXING DEPTH AND CONCENTRATION AT THE GROUND, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 63-71. doi: 10.1007/BF03179738
[12]	Yang HE, Xiaoqian ZHU, Zheng SHENG, Wei GE, Xiaoran ZHAO, Mingyuan HE, 2022: Atmospheric Disturbance Characteristics in the Lower-middle Stratosphere Inferred from Observations by the Round-Trip Intelligent Sounding System (RTISS) in China, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 131-144. doi: 10.1007/s00376-021-1110-2
[13]	Dohyeong KIM, Myoung-Hwan AHN, Minjin CHOI, 2015: Inter-comparison of the Infrared Channels of the Meteorological Imager Onboard COMS and Hyperspectral IASI Data, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 0-. doi: 10.1007/s00376-014-4124-1
[14]	Zhenglong LI, Jun LI, Pei WANG, Agnes LIM, Jinlong LI, Timothy J. SCHMIT, Robert ATLAS, Sid-Ahmed BOUKABARA, Ross N. HOFFMAN, 2018: Value-added Impact of Geostationary Hyperspectral Infrared Sounders on Local Severe Storm Forecasts——via a Quick Regional OSSE, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1217-1230. doi: 10.1007/s00376-018-8036-3
[15]	Lei ZHU, Zhiyong MENG, Yonghui WENG, Fuqing ZHANG, 2022: Assimilation of All-sky Geostationary Satellite Infrared Radiances for Convection-Permitting Initialization and Prediction of Hurricane Joaquin (2015), ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1859-1872. doi: 10.1007/s00376-022-2015-4
[16]	Kevin HAMILTON, 2006: High Resolution Global Modeling of the Atmospheric Circulation, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 842-856. doi: 10.1007/s00376-006-0842-3
[17]	Chen Wuhe, Situ Da, Zhong Xubin, 1998: Atmospheric Refractive Turbulence Effect on Diffraction-Limited Infrared Coherent Lidar, ADVANCES IN ATMOSPHERIC SCIENCES, 15, 124-134. doi: 10.1007/s00376-998-0024-6
[18]	Shi Guangyu, Qu Yanni, 1986: EFFECTS OF RADIATION MODELS ON THE CALCULATION OF ATMOSPHERIC INFRARED COOLING RATES, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 227-237. doi: 10.1007/BF02682556
[19]	Federico OTERO, Diego C. ARANEO, 2022: Forecasting Zonda Wind Occurrence with Vertical Sounding Data, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 161-177. doi: 10.1007/s00376-021-1007-0
[20]	WEN Xinyu, ZHOU Tianjun, WANG Shaowu, WANG Bin, WAN Hui, LI Jian, 2007: Performance of a Reconfigured Atmospheric General Circulation Model at Low Resolution, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 712-728. doi: 10.1007/s00376-007-0712-7

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Manuscript History

Manuscript received: 10 May 2012

Manuscript revised: 10 May 2012

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Sunglint Impact on Atmospheric Soundings from Hyperspectral Resolution Infrared Radiances

1. Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA,Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA,Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, {\rm 1225} West Dayton Street, Madison, WI 53706, USA

Manuscript received: 2012-05-10
Manuscript revised: 2012-05-10

Abstract: The mid-wave infrared band (3--5 m) has been widely used for atmospheric soundings. The sunglint impact on the atmospheric parameter retrieval using this band has been neglected because the reflected radiances in this band are significantly less than those in the visible band. In this study, an investigation of sunglint impact on the atmospheric soundings was conducted with Atmospheric InfraRed Sounder observation data from 1 July to 7 July 2007 over the Atlantic Ocean. The impact of sunglint can lead to a brightness temperature increase of 1.0 K for the surface sensitive sounding channels near 4.58 m. This contamination can indirectly cause a positive bias of 4 g kg-1 in the water vapor retrieval near the ocean surface, and it can be corrected by simply excluding those contaminated channels.

Keywords: