Preprints
https://doi.org/10.5194/egusphere-2026-2290
https://doi.org/10.5194/egusphere-2026-2290
05 May 2026
 | 05 May 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Comprehensive validation of MODIS atmospheric temperature profile data across mainland China using sounding observations

Wenjie Zhang, Mengxi Qu, Ranhao Sun, Jiarui Zhao, Guicai Ning, Aziz Inamov, Zokhid Mamatkulovd, Di Zhou, Bakhtiyor Pulatov, and Yuanjian Yang

Abstract. The vertical profile of atmospheric temperature is crucial for understanding energy transfer within the climate system. The Moderate Resolution Imaging Spectroradiometer (MODIS) atmospheric profile product (MOD07_L2) provides vertical temperature profiles at 5 km spatial resolution. However, comprehensive validation of its absolute accuracy—particularly for lower tropospheric stability (LTS) and temperature inversion layer (TIL) detection—remains limited. Therefore, this study conducted systematic evaluations using sounding data from 74 stations across mainland China spanning 2003–2020, encompassing both daytime and nighttime periods. Results indicated that absolute retrieval accuracy was generally superior at nighttime compared to daytime, with MOD07_L2 demonstrating better performance in upper layers (400–620 hPa) than in lower layers (850–1000 hPa). Nonetheless, retrieval errors at the 700 hPa level exhibited a more pronounced bias (B) relative to other pressure levels. In contrast, LTS accuracy was higher during daytime (r = 0.74, B = 0.04 °C, RMSE = 4.52 °C) than at nighttime (r = 0.57, B = 0.3 °C, RMSE = 6.78 °C).For TIL, MOD07_L2 displayed limited detection capability, achieving an overall detection rate of 6.6 % during daytime and 13.1 % at nighttime. This study provides essential data support for atmospheric science, hydrology, and ecology fields that rely on high-resolution vertical temperature profiles.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Atmospheric Measurement Techniques.

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Wenjie Zhang, Mengxi Qu, Ranhao Sun, Jiarui Zhao, Guicai Ning, Aziz Inamov, Zokhid Mamatkulovd, Di Zhou, Bakhtiyor Pulatov, and Yuanjian Yang

Status: open (until 10 Jun 2026)

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Wenjie Zhang, Mengxi Qu, Ranhao Sun, Jiarui Zhao, Guicai Ning, Aziz Inamov, Zokhid Mamatkulovd, Di Zhou, Bakhtiyor Pulatov, and Yuanjian Yang

Data sets

Radiosonde observations from 74 stations in China China Meteorological Administration http://weather.uwyo.edu/upperair/sounding.html

MODIS MOD07_L2 atmospheric temperature profiles NASA MODIS Science Team https://ladsweb.modaps.eosdis.nasa.gov/search/

Wenjie Zhang, Mengxi Qu, Ranhao Sun, Jiarui Zhao, Guicai Ning, Aziz Inamov, Zokhid Mamatkulovd, Di Zhou, Bakhtiyor Pulatov, and Yuanjian Yang
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Latest update: 05 May 2026
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Short summary
MODIS satellite temperature data lack full validation across China. Using 18 years of balloon data from 74 stations, we evaluated its accuracy, lower-atmosphere stability, and inversion detection. Nighttime accuracy exceeds daytime; upper layers outperform lower layers . A bias exists at 700 hPa. Stability retrieval is more reliable by day. Inversion detection rates are low: 6.6 % day, 13.1 % night. This guides appropriate use of MOD07_L2 in atmospheric science, hydrology, and ecology.
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