Estimation of cloud base height for FY-4A satellite based on random forest algorithm

TAN Zhong-Hui; MA Shuo; HAN Ding; GAO Ding; YAN Wei

doi:10.11972/j.issn.1001-9014.2019.03.020

Journals >Journal of Infrared and Millimeter Waves >Volume 38 >Issue 3 >Page 381 > Article

Journal of Infrared and Millimeter Waves
Vol. 38, Issue 3, 381 (2019)

Estimation of cloud base height for FY-4A satellite based on random forest algorithm

TAN Zhong-Hui^1、*, MA Shuo¹, HAN Ding², GAO Ding³, and YAN Wei¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.11972/j.issn.1001-9014.2019.03.020 Cite this Article

TAN Zhong-Hui, MA Shuo, HAN Ding, GAO Ding, YAN Wei. Estimation of cloud base height for FY-4A satellite based on random forest algorithm[J]. Journal of Infrared and Millimeter Waves, 2019, 38(3): 381 Copy Citation Text

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Abstract

Based on upstream products of FY-4A and A-Train satellites data during August and October, 2017, an estimation algorithm of cloud base height for FY-4A has been presented utilizing Random Forest model. The algorithm is evaluated in the comparison with CloudSat and CALIPSO. The results show that cloud base height for top layer cloud can be generated by using upstream products of FY-4A. Compared with CloudSat and CALIPSO, the mean absolute error is less than 1km and the relationship coefficient is bigger than 0.8. The presence of multi-layer clouds may result in underestimate of cloud base height.

Keywords

cloud base height FY-4A Random Forest satellite remote sensing

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