Assessment of ECMWF’s Precipitation Forecasting Performance for China <?A3B2 pi6?>from 2017 to 2022-Reference-Cited by-同舟云学术

Assessment of ECMWF’s Precipitation Forecasting Performance for China <?A3B2 pi6?>from 2017 to 2022

Published:2024-09-01 Issue:3 Volume:30 Page:257-274
ISSN:1006-8775
Container-title:Journal of Tropical Meteorology
language:en
Short-container-title:JTM

Author:

PAN Liu-jie,ZHANG Hong-fang,LIANG Mian,LIU Jia-huimin,DAI Chang-ming

Publisher

China Science Publishing & Media Ltd.

Link

https://engine.scichina.com/doi/pdf/222DA576166C4333ACC145318723555B

Reference47 articles.

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3. WANG Y, YANG K, ZHOU X, et al. Synergy of orographic drag parameterization and high resolution greatly reduces biases of WRF-simulated precipitation in central Himalaya [J]. Climate Dynamics, 2020, 54(1): 1729–1740, https://doi.org/10.1007/s00382-019-05080-w.

4. SHI Y, ZHANG X B, DAI G F, et al. Forecast performance of the pre-operational CMA-TRAMS (EPS) in South China during April-September 2020 [J]. Journal of Tropical Meteorology, 2023, 29(2): 236–251, https://doi.org/10.46267/j.1006-8775.2023.019.

5. PAN L J, ZHANG H F, LIU J, et al. Comparative analysis of SCMOC and various numerical models for precipitation forecasting [J]. Transactions of Atmospheric Sciences, 2023, 46(2): 217–229, in Chinese with English abstract..