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Article

Alternate Mapping Correlated k-Distribution Method for Infrared Radiative Transfer Forward Simulation

1
Key Laboratory of Meteorological Disaster, Ministry of Education (KLME)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing 210044, China
2
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081, China
3
Canadian Centre For Climate Modelling and Analysis, Science and Technology Branch, Environment Canada, Victoria, BC V8W 3P2, Canada
4
Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(9), 994; https://doi.org/10.3390/rs11090994
Received: 28 March 2019 / Revised: 11 April 2019 / Accepted: 13 April 2019 / Published: 26 April 2019
The alternate mapping correlated k-distribution (AMCKD) method is studied and applied to satellite simulations. To evaluate the accuracy of AMCKD, the simulated brightness temperatures at the top of the atmosphere are compared with line-by-line radiative transfer model (LBLRTM) or the observed data which are from Advanced Himawari Imager (AHI) on board the Himawari-8, as well as Medium Resolution Spectral Imager (MERSI) on board the Fengyun-3D. The result of AMCKD is also compared with the algorithm of Radiative Transfer for the Television Observation Satellite Operational Vertical Sounder (RTTOV). Under the standard atmospheric profiles, the absolute errors of AMCKD in all longwave channels of AHI and MERSI are bounded by 0.44K compared to the benchmark results of LBLRTM, which are more accurate than those of RTTOV. In the most cases, the error of AMCKD is smaller than the NEDT at ST, while the error of RTTOV is larger than the instrument noise equivalent temperature (NEDT) at scene temperature (ST). Under real atmospheric profile conditions, the errors of AMCKD increase, because the input data from ERA-Interim reanalysis dataause bias in the satellite remote sensing results. In the most considered cases, the accuracy of AMCKD is higher than RTTOV, while the efficiency of AMCKD is slightly slower than RTTOV. View Full-Text
Keywords: AMCKD; line-by-line; remote sensing; brightness temperature AMCKD; line-by-line; remote sensing; brightness temperature
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MDPI and ACS Style

Zhang, F.; Zhu, M.; Li, J.; Li, W.; Di, D.; Shi, Y.-N.; Wu, K. Alternate Mapping Correlated k-Distribution Method for Infrared Radiative Transfer Forward Simulation. Remote Sens. 2019, 11, 994. https://doi.org/10.3390/rs11090994

AMA Style

Zhang F, Zhu M, Li J, Li W, Di D, Shi Y-N, Wu K. Alternate Mapping Correlated k-Distribution Method for Infrared Radiative Transfer Forward Simulation. Remote Sensing. 2019; 11(9):994. https://doi.org/10.3390/rs11090994

Chicago/Turabian Style

Zhang, Feng; Zhu, Mingwei; Li, Jiangnan; Li, Wenwen; Di, Di; Shi, Yi-Ning; Wu, Kun. 2019. "Alternate Mapping Correlated k-Distribution Method for Infrared Radiative Transfer Forward Simulation" Remote Sens. 11, no. 9: 994. https://doi.org/10.3390/rs11090994

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