Articles | Volume 13, issue 2
https://doi.org/10.5194/amt-13-629-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-629-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2020
Research article |
| 10 Feb 2020
| 10 Feb 2020
A channel selection method for hyperspectral atmospheric infrared sounders based on layering
Shujie Chang
College of Meteorology and Oceanography, National University of
Defense Technology, Nanjing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
South China Sea Institute for Marine Meteorology, Guangdong Ocean
University, Zhanjiang, China
Zheng Sheng
CORRESPONDING AUTHOR
College of Meteorology and Oceanography, National University of
Defense Technology, Nanjing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
Huadong Du
College of Meteorology and Oceanography, National University of
Defense Technology, Nanjing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
Wei Ge
College of Meteorology and Oceanography, National University of
Defense Technology, Nanjing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
Wei Zhang
College of Meteorology and Oceanography, National University of
Defense Technology, Nanjing, China
Collaborative Innovation Center on Forecast and Evaluation of
Meteorological Disasters, Nanjing University of Information Science and
Technology, Nanjing, China
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Cited
18 citations as recorded by crossref.
- Spectrum Analysis of Gravity Waves Based on Sensors Mounted on a New Round-Trip Airborne Flat-Floating Sounding System Y. He et al. 10.3390/s20072123
- Long‐Term Trends and Solar Responses of the Mesopause Temperatures Observed by SABER During the 2002–2019 Period X. Zhao et al. 10.1029/2020JD032418
- The Interaction Between the Turbulence and Gravity Wave Observed in the Middle Stratosphere Based on the Round‐Trip Intelligent Sounding System Y. He et al. 10.1029/2020GL088837
- New framework for land surface temperature and emissivity inversion based on hyperspectral thermal infrared data X. Li et al. 10.1080/01431161.2023.2216855
- Using the Decomposition-Based Multi-Objective Evolutionary Algorithm with Adaptive Neighborhood Sizes and Dynamic Constraint Strategies to Retrieve Atmospheric Ducts Y. Mai et al. 10.3390/s20082230
- A New Diagnostic Model and Improved Prediction Algorithm for the Heights of Evaporation Ducts Y. Mai et al. 10.3389/feart.2020.00102
- Evaluating the Value of CrIS Shortwave-Infrared Channels in Atmospheric-Sounding Retrievals C. Barnet et al. 10.3390/rs15030547
- Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index Y. Mai et al. 10.1155/2021/5506599
- Attribution of the Principal Components of the Summertime Ozone Valley in the Upper Troposphere and Lower Stratosphere S. Chang et al. 10.3389/feart.2020.605703
- Retrieval and Analysis of the Strongest Mixed Layer in the Troposphere Z. Sheng et al. 10.3390/atmos11030264
- Statistical Analysis of Turbulence Characteristics over the Tropical Western Pacific Based on Radiosonde Data Y. He et al. 10.3390/atmos11040386
- Analysis of the Impact of the 2019–20 Australian Bushfire Season on the Atmospheric Environment J. Zhang et al. 10.3389/feart.2021.566891
- Are elevated moist layers a blind spot for hyperspectral infrared sounders? A model study M. Prange et al. 10.5194/amt-14-7025-2021
- Atmospheric Disturbance Characteristics in the Lower-middle Stratosphere Inferred from Observations by the Round-Trip Intelligent Sounding System (RTISS) in China Y. He et al. 10.1007/s00376-021-1110-2
- Stratospheric Temperature Observations by Narrow Bands Ultra-High Spectral Resolution Sounder from Nadir-Viewing Satellites S. Wang et al. 10.3390/rs15081967
- Response of Ozone to a Gravity Wave Process in the UTLS Region Over the Tibetan Plateau S. Chang et al. 10.3389/feart.2020.00289
- An Investigation of the Fengyun-4A/B GIIRS Performance on Temperature and Humidity Retrievals S. Wang et al. 10.3390/atmos13111830
- The impact of hyperspectral radiances in the NCUM 4D-Var data assimilation system B. Jangid et al. 10.1080/01431161.2021.1933244
18 citations as recorded by crossref.
- Spectrum Analysis of Gravity Waves Based on Sensors Mounted on a New Round-Trip Airborne Flat-Floating Sounding System Y. He et al. 10.3390/s20072123
- Long‐Term Trends and Solar Responses of the Mesopause Temperatures Observed by SABER During the 2002–2019 Period X. Zhao et al. 10.1029/2020JD032418
- The Interaction Between the Turbulence and Gravity Wave Observed in the Middle Stratosphere Based on the Round‐Trip Intelligent Sounding System Y. He et al. 10.1029/2020GL088837
- New framework for land surface temperature and emissivity inversion based on hyperspectral thermal infrared data X. Li et al. 10.1080/01431161.2023.2216855
- Using the Decomposition-Based Multi-Objective Evolutionary Algorithm with Adaptive Neighborhood Sizes and Dynamic Constraint Strategies to Retrieve Atmospheric Ducts Y. Mai et al. 10.3390/s20082230
- A New Diagnostic Model and Improved Prediction Algorithm for the Heights of Evaporation Ducts Y. Mai et al. 10.3389/feart.2020.00102
- Evaluating the Value of CrIS Shortwave-Infrared Channels in Atmospheric-Sounding Retrievals C. Barnet et al. 10.3390/rs15030547
- Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index Y. Mai et al. 10.1155/2021/5506599
- Attribution of the Principal Components of the Summertime Ozone Valley in the Upper Troposphere and Lower Stratosphere S. Chang et al. 10.3389/feart.2020.605703
- Retrieval and Analysis of the Strongest Mixed Layer in the Troposphere Z. Sheng et al. 10.3390/atmos11030264
- Statistical Analysis of Turbulence Characteristics over the Tropical Western Pacific Based on Radiosonde Data Y. He et al. 10.3390/atmos11040386
- Analysis of the Impact of the 2019–20 Australian Bushfire Season on the Atmospheric Environment J. Zhang et al. 10.3389/feart.2021.566891
- Are elevated moist layers a blind spot for hyperspectral infrared sounders? A model study M. Prange et al. 10.5194/amt-14-7025-2021
- Atmospheric Disturbance Characteristics in the Lower-middle Stratosphere Inferred from Observations by the Round-Trip Intelligent Sounding System (RTISS) in China Y. He et al. 10.1007/s00376-021-1110-2
- Stratospheric Temperature Observations by Narrow Bands Ultra-High Spectral Resolution Sounder from Nadir-Viewing Satellites S. Wang et al. 10.3390/rs15081967
- Response of Ozone to a Gravity Wave Process in the UTLS Region Over the Tibetan Plateau S. Chang et al. 10.3389/feart.2020.00289
- An Investigation of the Fengyun-4A/B GIIRS Performance on Temperature and Humidity Retrievals S. Wang et al. 10.3390/atmos13111830
- The impact of hyperspectral radiances in the NCUM 4D-Var data assimilation system B. Jangid et al. 10.1080/01431161.2021.1933244
Latest update: 18 Apr 2024
Short summary
Because a satellite channel’s ability to resolve hyperspectral data varies with height, an improved channel selection method is proposed based on information content. An improved channel selection scheme (ICS) for a hyperspectral atmospheric infrared sounder using AIRS data based on layering is proposed. The accuracy of the retrieval temperature is improved by using our method, which means the ICS method selected in this paper is feasible and shows great promise for various applications.
Because a satellite channel’s ability to resolve hyperspectral data varies with height, an...
