Articles | Volume 19, issue 20
https://doi.org/10.5194/amt-19-6535-2026
© Author(s) 2026. 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-19-6535-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Oct 2026
Research article |
| 19 Oct 2026
| 19 Oct 2026
Comprehensive validation of MODIS atmospheric temperature profile data across mainland China using sounding observations
Wenjie Zhang
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Mengxi Qu
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
Ranhao Sun
State Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Jiarui Zhao
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
Guicai Ning
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
Aziz Inamov
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent 100043, Uzbekistan
Zokhid Mamatkulov
Tashkent Institute of Irrigation and Agricultural Mechanization Engineers, Tashkent 100043, Uzbekistan
Di Zhou
State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China
Bakhtiyor Pulatov
Central Asian University of Environmental and Climate Change Studies (Green University), Tashkent, Uzbekistan
Yuanjian Yang
CORRESPONDING AUTHOR
State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science and Technology, Nanjing 210044, China
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
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Short summary
MOD07_L2 lacks full validation across China. Using 18-year sounding data (74 stations), we evaluated its temperature accuracy, lower tropospheric stability (LTS), and inversion (TIL) detection. Nighttime accuracy exceeds daytime; upper layers outperform lower. Negative biases exist at 850/920 hPa, especially daytime. LTS is better by day (r=0.74) than night (r=0.57). TIL detection is low (6.6% day, 13.1% night). This guides MOD07_L2 use in related fields.
MOD07_L2 lacks full validation across China. Using 18-year sounding data (74 stations), we...
