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2022

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Yi-Ning Shi, Li W, Wu K, et al. A broadband infrared radiative transfer scheme including the effect related to vertically inhomogeneous microphysical properties inside water clouds[J]. Journal of Quantitative Spectroscopy and Radiative Transfer, 2022, 285: 108160. 

Zhang M, Jin D, Wang X, et al. Seasonal transition of precedent Indian Ocean basin mode and subsequent Indian Ocean Dipole without El Niño–Southern Oscillation impact[J]. International Journal of Climatology, 2022. http://doi.org/10.1002/joc.7793

Ying W, Yan H, Luo J J. Seasonal Predictions of Summer Precipitation in the Middle-lower Reaches of the Yangtze River with Global and Regional Models Based on NUIST-CFS1. 0[J]. Advances in atmospheric sciences, 2022: 1-18.

Wahiduzzaman M, Cheung K K, Luo J J, et al. A spatial model for predicting North Indian Ocean tropical cyclone intensity: Role of sea surface temperature and tropical cyclone heat potential[J]. Weather and Climate Extremes, 2022, 36: 100431.

孙惠杭, 王意国,罗京佳. 海洋资料同化对气候季节-年际预测技巧及初始场的影响试验[J]. 热带海洋学报, 2021, 41(3): 75-90.

杨淑贤, 零丰华, 应武杉, . 人工智能技术气候预测应用简介[J]. 大气科学学报, 2022, 45(5): 641-659.

Tang S, Luo J J, Chen L, et al. Distinct Evolution of the SST Anomalies in the Far Eastern Pacific between the 1997/98 and 2015/16 Extreme El Niños[J]. Advances in Atmospheric Sciences, 2022, 39(6): 927-942.

Ma J, Xu H, Luo J J, et al. Impact of tropical Atlantic SST anomaly on ENSO in the NUIST‐CFS1. 0 Hindcasts[J]. International Journal of Climatology, 2022. https://doi.org/10.1002/joc.7577 

L Zhu, W Kang, W Li*, JJ Luo, Y Zhu. The optimal bias correction for daily extreme precipitation indices over the Yangtze-Huaihe River Basin, insight from BCC-CSM1. 1-m[J]. Atmospheric Research, 2022, 271: 106101.

W Li, Z Jiang, LZX Li, JJ Luo, P Zhai. Detection and Attribution of Changes in Summer Compound Hot and Dry Events over Northeastern China with CMIP6 Models[J]. Journal of Meteorological Research, 2022, 36(1): 37-48.MD Wahiduzzaman, MA Ali, K Cheung, JJ Luo, T Shaolei, PK Bhaskaran. Impacts of aerosols and climate modes on tropical cyclone frequency over the North Indian Ocean: a statistical link approach[J]. Journal of Climate, 2022, 35(8): 2549-2564.

Asfaw T G, Luo J J. Seasonal Prediction of Summer Precipitation over East Africa Using NUIST-CFS1. 0[J]. Advances in Atmospheric Sciences, 2022, 39(3): 355-372.

L Huo, J Wang, D Jin, JJ Luo, H Shen, X Zhang, J Min, Y Xiao. Increased summer electric power demand in Beijing driven by preceding spring tropical North Atlantic warming[J]. Atmospheric and Oceanic Science Letters, 2022, 15(1): 100146.

H Wang, Y Dai, S Yang, T Li, JJ Luo, B Sun, M Duan, J Ma, Z Yin, Y Huang. Predicting climate anomalies: A real challenge[J]. Atmospheric and Oceanic Science Letters, 2022, 15(1): 100115.

Hu Y, Wang X, Luo J J, et al. Forecasts of MJO during DYNAMO in a Coupled Tropical Channel Model: Impact of Planetary Boundary Layer Schemes[J]. Atmosphere, 2022, 13(5): 666.

Hu Y, Wang X, Luo J J, et al. Forecasts of MJO during DYNAMO in a coupled tropical channel model, Part I: Impact of parameterization schemes[J]. International Journal of Climatology, 2022.

https://doi.org/10.1002/joc.7610

Wei J, Hang R, Luo J J. Prediction of Pan-Arctic Sea Ice Using Attention-Based LSTM Neural Networks[J]. Frontiers in Marine Science, 918.

Chao Wang, Bin Wang, LiGuang Wu, Jing-jia Luo. A Seesaw Variability in Tropical Cyclone Genesis between the Western North Pacific and the North Atlantic Shaped by Atlantic Multidecadal Variability[J]. Journal of Climate, 2022, 35(8): 2479-2489.

Xu J, Luo J J, Yuan C. Tropical Indian Ocean warming contributes to Arctic warming[J]. Geophysical Research Letters, 2022: e2022GL101339.

Ling F, Luo J J, Li Y, et al. Multi-task machine learning improves multi-seasonal prediction of the Indian Ocean Dipole[J]. Nature Communications, 2022, 13(1): 1-9.

Ling F, Li Y, Luo J J, et al. Two deep learning-based bias-correction pathways improve summer precipitation prediction over China[J]. Environmental Research Letters, 2022, 17(12): 124025.

Chang, L., Morioka, Y., Behera, S., Luo, J.-J., Xu, H., & Zhou, B. What Mainly Drives the Interannual Climate Variability Over the Barents‐Kara Seas in Boreal Early Autumn?[J]. Journal of Geophysical Research: Atmospheres, 2022, 127(21): e2021JD036216.

He J, Luo J J, Liu S, et al. Understanding extremely pluvial winters over Yangtze–Huia river basin in China: their complexity and tropical oceans influences[J]. Climate Dynamics, 2022: 1-21.

杨萌洲, 袁潮霞. IPO调节大西洋纬向模对澳大利亚秋季降水年际变动的影响[J].大气科学学报, 2022.DOI:10.13878/j.cnki.dqkxxb.20210218001

Yuan C, Zhang W, Zhong Y, et al. North Atlantic forcing of autumn drought in Southwest China[J]. Atmospheric and Oceanic Science Letters, 2022, 15(1): 100152.

Ma X, Huang G, Li X, et al. The potential mechanisms of the dominant timescale of AMOC multidecadal variability in CMIP6/CMIP5 preindustrial simulations[J]. Climate Dynamics, 2022: 1-15.


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