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Open AccessArticle

A Validation of Fengyun4A Temperature and Humidity Profile Products by Radiosonde Observations

1
School of Atmospheric Sciences, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-Sen University; Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai), Zhuhai 519082, China
2
Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, China
3
College of Environmental Science and Engineering, Donghua University, Songjiang District, Shanghai 20162, China
*
Author to whom correspondence should be addressed.
Current address: GuangDong Ocean University South China Sea Institute of Marine Meteorology, Zhanjiang 524088, China.
Remote Sens. 2019, 11(17), 2039; https://doi.org/10.3390/rs11172039
Received: 22 July 2019 / Revised: 23 August 2019 / Accepted: 24 August 2019 / Published: 29 August 2019
(This article belongs to the Special Issue Satellite Derived Global Atmosphere Product Validation/Evaluation)
Fengyun4A is the first geostationary satellite with payload of the infrared hyperspectral sounder. The geostationary platform-based instrument can provide observational 3-dimensional fields of temperature and humidity with high scanning frequencies and spatial resolutions. The IR instrument-observed temperature (T) and relative humidity (RH) profiles are closely related to the cloud states. Radiosonde observations are used to validate the Fengyun4A T and RH profiles under different cloud-type sky conditions. The cloud-type information comes from the Himawari-8 satellite which has substantial observing overlap with Fengyun4A over Asia. Taking the radiosonde observation as the reference, Fengyun4A T profile has uncertainty of 2.1 K under clear sky, and 3.7 K under cloudy sky. When cloudy sky is divided into cloud-type skies, the categories have disparities in temperature biases, varying from positive to negative. It is found that most of cloud-type categories have uncertainties of 2.5–3.0 K. The RH profiles have an uncertainty of 18% under clear sky and 21% under cloudy sky in absolute value. On average, the RH biases show neural but positively biased at the dry side and negatively biased at the wet side in the scatter plot. The International Satellite Cloud Climatology Project (ISCCP) cloud type can help to extend the quality flag of the Fengyun4A temperature profile. The impacts from cloud types on IR sounding profiles should be considered in product development or applications. View Full-Text
Keywords: geostationary hyperspectral IR sounding; temperature and humidity profiles; data quantity; validation; ISCCP cloud type geostationary hyperspectral IR sounding; temperature and humidity profiles; data quantity; validation; ISCCP cloud type
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MDPI and ACS Style

He, M.; Wang, D.; Ding, W.; Wan, Y.; Chen, Y.; Zhang, Y. A Validation of Fengyun4A Temperature and Humidity Profile Products by Radiosonde Observations. Remote Sens. 2019, 11, 2039.

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