Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 9
Articles | Volume 15, issue 9
https://doi.org/10.5194/amt-15-2791-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-2791-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 9
Research article
 | 
06 May 2022
Research article |  | 06 May 2022

High-resolution typhoon precipitation integrations using satellite infrared observations and multisource data

You Zhao, Chao Liu, Di Di, Ziqiang Ma, and Shihao Tang

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Ahmed, K., Sachindra, D. A., Shahid, S., Iqbal, Z., Nawaz, N., and Khan, N.: Multi-model ensemble predictions of precipitation and temperature using machine learning algorithms, Atmos. Res., 236, 104806, https://doi.org/10.1016/j.atmosres.2019.104806, 2020. 
Albawi, S., Mohammed, T. A., and Al-Zawi, S.: Understanding of a convolutional neural network, 2017 International Conference on Engineering and Technology (ICET), 21–23 August 2017, Antalya, Turkey, IEEE, https://doi.org/10.1109/ICEngTechnol.2017.8308186, 2017. 
Aonashi, K., Awaka, J., Hirose, M., Kozu, T., Kubota, T., Liu, G., and Takayabu, Y. N.: GSMaP passive microwave precipitation retrieval algorithm: Algorithm description and validation, J. Meteorol. Soc. Jpn. Ser. II, 87, 119–136, https://doi.org/10.2151/jmsj.87A.119, 2009. 
Baez-Villanueva, O. M., Zambrano-Bigiarini, M., Beck, H. E., McNamara, I., Ribbe, L., Nauditt, A., and Thinh, N. X.: RF-MEP: A novel Random Forest method for merging gridded precipitation products and ground-based measurements, Remote Sens. Environ., 239, 111606, https://doi.org/10.1016/j.rse.2019.111606, 2020. 
Bárdossy, A. and Pegram, G.: Combination of radar and daily precipitation data to estimate meaningful sub-daily point precipitation extremes, J. Hydrol., 544, 397–406, https://doi.org/10.1016/j.jhydrol.2016.11.039, 2017. 
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A typhoon is a high-impact atmospheric phenomenon that causes most significant socioeconomic damage, and its precipitation observation is always needed for typhoon characteristics and disaster prevention. This study developed a typhoon precipitation fusion method to combine observations from satellite radiometers, rain gauges and reanalysis to provide much improved typhoon precipitation datasets.
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