论著

2025

• Deng, G., Shen, X.*, Yuan, H*, Gong, J., Tong, H., Deng, L., Xu, Z., Chen, J., Sun J, Wang Y, Chen M, Wang J, Hu J, Zhu Y, Zhang Y, Li H, Wang Y, Gao L, Sheng L, Zhang H, Li D, Li L, Wang H, Chen C, Zhao Y, Zhao B, Li Y, Liu Z, Zhou Y, Chen F, Huo Z, Guo W, Zhang X, Gu W, Dai L, Zhang H, Lai Z. 2025. Research and application of CMA numerical weather prediction in meteorological support for the Beijing Winter Olympics (2022). Science China Earth Sciences. https://www.sciengine.com/doi/10.1007/s11430-025-1713-4.

• Gou, Q., Yu, X., Dong, Y., Wang, X., & Yuan, H.* (2025). Climate‐dependent mechanisms accelerate flash droughts in drylands and humid regions. Geophysical Research Letters, 52, e2025GL118397. https://doi.org/10.1029/2025GL118397 网络报道

• Yang, S., Nai, C., Liu, X., Li, W., Chao, J., Wang, J., Wang, L., Li, X., Chen, X., Lu, B., Xiao, Z., Boers, N., Yuan, H.*, Pan, B.*, 2025: Generative assimilation and prediction for weather and climate. arXiv:2503.03038. https://doi.org/10.48550/arXiv.2503.03038

• Chen, W., H. Yuan*, 2025: Influences of Large-Scale and Mesoscale Circulation Patterns on Precipitation during Rainy Seasons in South China. Monthly Weather Review, 153, 1513-1533. https://doi.org/10.1175/MWR-D-24-0192.1 网络报道

• Chao, J., Pan, B., Chen, Q., Yang, S., Wang, J., Zheng, Y., Li, X., Yuan, H., Chen, X., Lu, B. and Xiao, Z., 2025. Learning to infer weather states using partial observations. Journal of Geophysical Research: Machine Learning and Computation, 2, e2024JH000260. https://doi.org/10.1029/2024JH000260

• Wang, J., Wang, X., Yuan, H., Cui, C., Wang, X., & Liu, L. 2025: Wind profile characteristics that warn of summertime flash heavy rain events over the middle reaches of the Yangtze River Basin. Earth and Space Science, 12(2), e2024EA003902. https://doi.org/10.1029/2024EA003902

• Chen, J., Zhu, Y., Duan, W., Zhi, X., Min, J., Li, X., Deng, G., Yuan, H., Feng, J., Du, J. and Li, Q., 2025. A review on development, challenges, and future perspectives of ensemble forecast. Journal of Meteorological Research, 39(3), 534-558. https://doi.org/10.1007/s13351-025-4909-4

• 陈静，朱跃建，段晚锁，智协飞，闵锦忠，李晓莉，邓国，袁慧玲，冯杰，杜钧，李巧萍，龚建东，沈学顺，穆穆. 2025. 集合预报进展、挑战及展望. 气象学报，83（3）（注：有英文版）：480-502. https://doi.org/10.11676/qxxb2025.20240151

• 邓国, 沈学顺*, 袁慧玲*, 龚建东, 佟华, 邓莲堂, 徐枝芳, 陈静, 孙健, 王勇, 陈明轩, 王建捷, 胡江凯, 朱跃建, 张玉涛, 李红祺, 王远哲, 高丽, 盛黎, 张涵斌, 李炟, 李莉, 王皓, 陈超辉, 赵颖, 赵滨, 李应林, 刘志丽, 周玉淑, 陈法敬, 霍自强, 郭文华, 张新诺, 顾文静, 戴玲玲, 张泓池, 赖子洋. 2025. CMA数值天气预报冬奥气象保障技术研究及应用. 中国科学: 地球科学, 55. （注：有英文版）https://www.sciengine.com/doi/10.1360/SSTe-2025-0066.

2024

• Xie, Y., H. Yuan*, 2024: Local and downstream effects of vertical soil water flow on summer persistent extreme precipitation events in southeast China. Journal of Geophysical Research: Atmospheres, 129(24), e2023JD040339. https://doi.org/10.1029/2023JD040339网络报道

• Yang, C., H. Yuan*, F. Zhang, M. Xie, Y. Wang, G.-M. Jiang, 2024: Convective initiation nowcasting in South China using physics-augmented random forest models and geostationary satellites. Earth and Space Science, 11, e2024EA003571. https://doi.org/10.1029/2024EA003571

• Veiga, S. F., H. Yuan*, 2024: Evaluation of metrics for assessing dipolar climate patterns in climate models. Climate Dynamics, 2024, 1-17. https://doi.org/10.1007/s00382-024-07220-3

• Han, X., H. Yuan*, 2024: Impacts of precipitation uncertainty on hydrological ensemble simulations over the Ganjiang River basin. Journal of Hydrology: Regional Studies, 51, 101617. https://doi.org/10.1016/j.ejrh.2023.101617网络报道

• Liu, Z., Dong, L., Qiu, Z., Li, X., Yuan, H., Meng, D., Qiu, X., Liang, D., Wang, Y., 2024: Global variable-resolution simulations of extreme precipitation over Henan, China, in 2021 with MPAS-Atmosphere v7.3. Geoscientific Model Development, 17, 5477-5496. https://gmd.copernicus.org/articles/17/5477/2024/

• Deng, G., Shen, X.*, Du, J., Gong, J., Tong, H., Deng, L., Xu, Z., Chen, J., Sun, J., Wang, Y., Hu, J., Wang, J., Chen, M., Yuan, H., Zhang, Y., Li, H., Wang, Y., Gao, L., Sheng, L., Li, D., Li, L., Wang, H., Zhao, Y., Li, Y., Liu, Z., & Guo, W. 2024. Scientific Advances and Weather Services of the China Meteorological Administration’s National Forecasting Systems during the Beijing 2022 Winter Olympics. Advances in Atmospheric Sciences, 41, 767-776. https://doi.org/10.1007/s00376-023-3206-3

• 廉丹华,袁慧玲*,王婧羽,陈法敬.2024:河南“21.7”特大暴雨的区域集合预报检验和预报偏差分析[J].南京大学学报(自然科学),60(02):287-300. https://jns.nju.edu.cn/CN/abstract/abstract1608.shtml

• 沈烨,张晶寒,袁慧玲,杨龙.2024: 南京城市下垫面对夏季暴雨云团特征的影响.水科学进展, 2024, 35(3): 453-462. http://skxjz.nhri.cn/article/doi/10.14042/j.cnki.32.1309.2024.03.009?viewType=citedby-info

2023

• Yang, S., H. Yuan*, 2023: A customized multi-scale deep learning framework for storm nowcasting. Geophysical Research Letters, 50, e2023GL103979. https://doi.org/10.1029/2023GL103979网络报道

• Wang, J., Yuan, H.*, Wang, X., Cui, C., & Wang, X. (2023). Impact of thermally forced circulations on the diurnal cycle of summer precipitation over the southeastern Tibetan Plateau. Geophysical Research Letters, 50, e2022GL100951. https://doi.org/10.1029/2022GL100951网络报道

• Yang, Y., H. Yuan*, W. Chen, 2023. Convection-permitting ensemble forecasts of a double rainbelt event in South China during the pre-summer rainy season. Atmospheric Research, 284, 106599. https://doi.org/10.1016/j.atmosres.2022.106599网络报道

• Xu, F., H. Yuan*, L. Lin, W. Chen, 2023: Convective-scale ensemble forecasts of the heavy precipitation of typhoon Lekima (2019) in Zhejiang Province. Atmospheric Research, 283, 106543. https://doi.org/10.1016/j.atmosres.2022.106543网络报道

• Liu, L., H. Yuan*, Y. Deng, J. Ren, Y. Bai, C. Cui, 2023: Effects of aerosols on the - forecasting of Mei-yu frontal storms over the Yangtze–Huai River Valley. Atmospheric Research, 283, 106535.https://doi.org/10.1016/j.atmosres.2022.106535网络报道

• Liang, L., Liang, S., Li, L. Z., Yuan, H., & Zeng, Z. 2023. Lagged effect of the Pacific Decadal Oscillation on decadal variation in global land precipitation. The Innovation Geoscience, 1(3), 100034. https://doi.org/10.59717/j.xinn-geo.2023.100034

• 王开存, 袁慧玲. 2023. 国家自然科学基金大气科学学科二级申请代码下设研究方向与关键词解读：D0515应用气象学[J]. 大气科学, 47(1): 230−238. http://www.iapjournals.ac.cn/dqkx/article/doi/10.3878/j.issn.1006-9895.2212.22315

2022

• Yang, S., H. Yuan*, L. Dong, 2022: Offshore wind resource assessment by characterizing weather regimes based on self-organizing map. Environmental Research Letters, 17, 124009. https://doi.org/10.1088/1748-9326/aca2c2网络报道

• Lin, L., H. Yuan*, X. Bao, W. Chen, S. Zhang, F. Xu, 2022: Evaluation of the raindrop size distribution representation of microphysics schemes in typhoon Lekima using disdrometer network observations. Atmospheric Research, 278, 106346. https://doi.org/10.1016/j.atmosres.2022.106346网络报道

• Chen, W., H. Yuan*, 2022: Onshore convection associated with the easterly wave over the South China Sea: A case study. Atmospheric Research, 268, 105979. https://doi.org/10.1016/j.atmosres.2021.105979网络报道

• Sandro F. Veiga, H. Yuan*, 2022: The response of the East Asian summer rainfall to more extreme El Niño events in future climate scenarios. Atmospheric Research, 268, 105983. https://doi.org/10.1016/j.atmosres.2021.105983

• 杨依丽雪,袁慧玲*,陈勇.2022: 黄海对流云街数值模拟与敏感性试验[J].气象科技,50(02):202-213. https://doi.org/10.19517/j.1671-6345.20210111

• 许晨璐,袁慧玲*,吴玲芳,柳贵钧. 2022: 民航华北空管两代快速更新循环同化数值预报系统的检验评估.气候与环境研究, 27(4): 523−532. https://doi.org/10.3878/j.issn.1006-9585.2021.21071

• 周梦洁,袁慧玲*,2022: 中国部分城市暴雨强度增长率及城市化影响研究. 中国给水排水. 38, 126-131. https://doi.org/10.19853/j.zgjsps.1000-4602.2022.19.020

• 袁慧玲*.当“水文”遇到“气象”[J].知识就是力量,2022(03):8-9. https://mp.weixin.qq.com/s/f8d7Qnko3ga-sfZH9pGXUA

• 邹玮,袁慧玲*,沈晗,2022:雷达资料同化对一次飑线过程的模拟影响. 大气科学. 46(6): 1−19. http://www.iapjournals.ac.cn/dqkx/cn/article/Y2022/I6/1281

2021

• Sandro F. Veiga, H. Yuan*, 2021: Performance-based projection of precipitation extremes over China based on CMIP5/6 models using integrated quadratic distance. Weather and Climate Extremes, 34, 100398. https://doi.org/10.1016/j.wace.2021.100398

• Yang, L., Q. Li, H. Yuan, Z. Niu, L. Wang, 2021: Impacts of urban canopy on two convective storms with contrasting synoptic conditions over Nanjing, China. Journal of Geophysical Research: Atmospheres. 126, e2020JD034509. https://doi.org/10.1029/2020JD034509

• Clark, R. T., Dong, X., Ho, C. H., Sun, J., Yuan, H., & Takemi, T., 2021: Preface to the Special Issue on Summer 2020: Record Rainfall in Asia—Mechanisms, Predictability and Impacts. Advances in Atmospheric Sciences, 38(12), 1977-1979. https://doi.org/10.1007/s00376-021-1010-5

• 苏翔,袁慧玲*,朱跃建,2021：四种定量降水预报客观订正方法对比研究.气象学报. 79(1):132-149. https://doi.org/10.11676/qxxb2020.071

2020

• Wu, B., S. Oncley, H. Yuan*, F. Chen, 2020: Ground heat flux determination based on near-surface soil hydro-thermodynamics. Journal of Hydrology, 591, 125578. https://doi.org/10.1016/j.jhydrol.2020.125578网络报道

• Chen, Y, H. Yuan*, Y. Yang, and R. Sun, 2020: Sub-daily soil moisture estimate using dynamic Bayesian model averaging. Journal of Hydrology, 590, 125455. https://doi.org/10.1016/j.jhydrol.2020.125445网络报道1网络报道2

• Corrigendum to "Sub-daily soil moisture estimate using dynamic Bayesian model averaging" [J. Hydrol. 590 (2020) 125445] (Journal of Hydrology (2020) 590, (S0022169420309057), https://doi.org/10.1016/j.jhydrol.2020.125054)

• Chen, F., H. Yuan*, R. Sun*, C. Yang, 2020: Streamflow simulations using error correction ensembles of satellite precipitation products over the Huaihe River basin. Journal of Hydrology, 589, 125179. https://doi.org/10.1016/j.jhydrol.2020.125179网络报道

• Chen, Y, and H. Yuan*, 2020:Evaluation of nine sub-daily soil moisture model products over China using high-resolution in situ observations. Journal of Hydrology, 588, 125054. https://doi.org/10.1016/j.jhydrol.2020.125054网络报道1网络报道2

• Yang, C., H. Yuan*, X. Su, 2020: Bias correction of ensemble precipitation forecasts in the improvement of summer streamflow prediction skill. Journal of Hydrology, 588, 124955. https://doi.org/10.1016/j.jhydrol.2020.124955网络报道

• Sun, R., F. Hernández, X. Liang, and H. Yuan, 2020: A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy. Water Resources Research, 56, e2019WR026541. https://doi.org/10.1029/2019WR026541

• Han, H., Liu, J., Shu, L., Wang, T., and Yuan, H., 2020: Local and synoptic meteorological influences on daily variability in summertime surface ozone in eastern China. Atmospheric Chemistry and Physics, 20, 203–222. https://doi.org/10.5194/acp-20-203-2020

• 苏翔,袁慧玲*,2020:集合预报统计学后处理技术研究进展.气象科技进展, 10(2), 30-41. https://doi.org/10.3969/j.issn.2095-1973.2020.02.005

2019

• Chen, Y., Yuan, H.*, and Gao, S., 2019: A high-resolution simulation of roll convection over the Yellow Sea during a cold air outbreak. Journal of Geophysical Research: Atmospheres, 124, 10608-10625. https://doi.org/10.1029/2019JD030968网络报道

• Han, H., Liu, J., Yuan, H., Wang, T., Zhuang, B., and Zhang, X., 2019: Foreign influences on tropospheric ozone over East Asia through global atmospheric transport. Atmospheric Chemistry and Physics, 19, 12495-12514. https://doi.org/10.5194/acp-19-12495-2019

• Hu, J., S. Chen, A. Behrangi, H. Yuan, 2019: Parametric uncertainty assessment in hydrological modeling using the generalized polynomial chaos expansion. Journal of Hydrology, 579, 124158. https://doi.org/10.1016/j.jhydrol.2019.124158

2018

• Yang, Y., H. Yuan*, and W. Yu, 2018: Uncertainties of 3D Soil Hydraulic Parameters in Streamflow Simulations using a Distributed Hydrological Model System. Journal of Hydrology, 567, 12-24. https://doi.org/10.1016/j.jhydrol.2018.09.042网络报道

• Sun, R., H. Yuan*, and Y. Yang, 2018. Using multiple satellite-gauge merged precipitation products ensemble for hydrologic uncertainty analysis over the Huaihe River basin. Journal of Hydrology, 566, 406-420.https://doi.org/10.1016/j.jhydrol.2018.09.024网络报道

• Chen, X., H. Yuan*, and M. Xue, 2018: Spatial spread-skill relationship in terms of agreement scales for precipitation forecasts in a convection-allowing ensemble. Quarterly Journal of the Royal Meteorological Society, 144, 85-98.https://doi.org/10.1002/qj.3186

• Han, H., J. Liu*, H. Yuan*, et al., 2018: Impacts of synoptic weather patterns and their persistency on free tropospheric carbon monoxide concentrations and outflow in eastern China. Journal of Geophysical Research: Atmospheres, 123, 7024–7046. https://doi.org/10.1029/2017JD028172

• Han, H., J. Liu, H. Yuan, et al., 2018: Characteristics of intercontinental transport of tropospheric ozone from Africa to Asia. Atmospheric Chemistry and Physics, 18, 4251-4276. https://doi.org/10.5194/acp-18-4251-2018

2017

• Sun, R., H. Yuan*, and X. Liu, 2017. Effect of heteroscedasticity treatment in residual error models on model calibration and prediction uncertainty estimation. Journal of Hydrology, 554, 680-692. https://doi.org/10.1016/j.jhydrol.2017.09.041网络报道

• 孙敏,袁慧玲*,杜予罡,2017:上海地区春季最高气温预报失败案例分析,气象, 44(1): 65-79. https://doi.org/10.7519/j.issn.1000-0526.2018.01.006

• 沈伟,袁慧玲*,陈曦,王文清,赵燕华,2017:江苏暖季短时强降水的时空不均匀特征分析.大气科学学报,40(4):453-462. https://doi.org/10.13878/j.cnki.dqkxxb.20160824002

2016

• Yuan, H., Sun, M. and Wang, Y., 2016: Assessment of the benefits of the Chinese Public Weather Service. Meteorological Applications, 23, 132–139. https://doi.org/10.1002/met.1539

• Sun, R., H. Yuan*, X. Liu, and X. Jiang, 2016: Evaluation of the latest satellite-gauge precipitation products and their hydrologic applications over the Huaihe River basin. Journal of Hydrology, 536, 302-319. https://doi.org/10.1016/j.jhydrol.2016.02.054网络报道

• Li, S., Y. Wang, H. Yuan*, J. Song, and X. Xu, 2016: Ensemble mean forecast skill and applications with the T213 ensemble prediction system. Advances in Atmospheric Sciences, 33, 1297–1305. https://doi.org/10.1007/s00376-016-6155-2

• Yuan, H., J. Liu, L. Lei, and H. Han, 2016: Characterizing pollution weather patterns using satellite carbon monoxide data[C]//2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE, 5724-5726. http://doi.org//10.1109/IGARSS.2016.7730495

2010-2015

• Chang, H.-L., S.-C. Yang, H. Yuan, P.-L. Lin, and Y.-C. Liou, 2015: Analysis of the Relative Operating Characteristic and Economic Value Using the LAPS Ensemble Prediction System in Taiwan. Monthly Weather Review, 143, 1833–1848. http://dx.doi.org/10.1175/MWR-D-14-00189.1

• Jiang, X., H. Yuan*, M. Xue, X. Chen, X. Tan, 2014: Analysis of a heavy rainfall event over Beijing during 21-22 July 2012 based on high resolution model analyses and forecasts. Journal of Meteorological Research, 28, 199-212. https://doi.org/10.1007/s13351-014-3139-y

• Su, X., H. Yuan*, Y. Zhu, Y., Y. Luo, and Y. Wang, 2014: Evaluation of TIGGE ensemble predictions of Northern Hemisphere summer precipitation during 2008-2012. Journal of Geophysical Research: Atmospheres, 119, 7292-7310. https://doi.org/10.1002/2014JD021733

• Tollerud, E. I., B. Etherton, Z. Toth, I. Jankov, T. L. Jensen, H. Yuan, L. S. Wharton, P. T. McCaslin, E. Mirvis, B. Kuo, B. G. Brown, L. Nance, S. E. Koch, F. A. Eckel, 2013: The DTC ensembles task: A new testing and evaluation facility for mesoscale ensembles. Bulletin of the American Meteorological Society, 94, 321-327. http://dx.doi.org/10.1175/BAMS-D-11-00209.1

• Chang, H.-L., H. Yuan*, and P.-L. Lin, 2012: Short-range (0-12h) PQPFs from time-lagged multimodel ensembles using LAPS. Monthly Weather Review, 140, 1496-1516. https://doi.org/10.1175/MWR-D-11-00085.1

• Tang, J., H. Yuan*, Y. Wang, and J. Fei, 2012: The use of shear gradient vorticity in tropical cyclone heavy precipitation prediction: A high-resolution numerical case study. Journal of Tropical Meteorology, 18(4), 403-411. https://doi.org/10.16555/j.1006-8775.2012.04.001

• Jankov, I., L. D. Grasso, M. Sengupta, P. J. Neiman, D. Zupanski, M. Zupanski, D. Lindsey, D. W. Hillger, D. L. Birkenheuer, R. Brummer, and H. Yuan, 2011: An evaluation of five ARW-WRF microphysics schemes using synthetic GOES imagery for an atmospheric river event affecting the California coast. Journal of Hydrometeorology, 12, 618–633. https://doi.org/10.1175/2010JHM1282.1

• Lu, C., H. Yuan, E. Tollerud, and N. Wang, 2010: Scale-dependent uncertainties in global QPF and QPE from NWP model and satellite fields. Journal of Hydrometeorology, 11, 139-155. <https://doi.org/10.1175/2009JHM1164.1 >

• Corrigendum: Lu, C., H. Yuan, E. Tollerud, and N. Wang, 2010: Scale-dependent uncertainties in global QPF and QPE from NWP model and satellite fields (vol 11, pg 139, 2010). Journal of Hydrometeorology, 11, 1200-1200. https://doi.org/10.1175/2010JHM1332.1

• 孙敏,袁慧玲*,2014: WRF模式中微物理和积云对流参数化方案对台风“莫拉克”模拟敏感性分析.热带气象学报, 30(5):941-951. https://doi.org/10.3969/j.issn.1004-4965.2014.05.014

• 姜晓曼，袁慧玲*，薛明，陈曦，谭晓光. 2014：北京“7.21”特大暴雨高分辨率模式分析场及预报分析.气象学报,(2):207-219. （注：有英文版） https://doi.org/10.11676/qxxb2014.024

• 陈纾杨，王元，袁慧玲*，2013：2008年6月南方强降水天气分析及TIGGE预报检验.气象科学, 33(4): 384-390. https://doi.org/10.3969/2013jms.0026

• 费启瓅, 袁慧玲*, 阿不都外力•阿不力克木, 周元，宗培书,2013: 江苏省自动土壤水分观测与人工观测对比分析及应用. 气象科学, 33(3):302-307. https://doi.org/10.3969/2013jms.0009

• 万夫敬, 袁慧玲*,宋金杰,王元, 2012：南京地区降水预报研究. 南京大学学报（自然科学类）,48(4), 513-525. https://doi.org/10.13232/j.cnki.jnju.2012.04.021

2001-2009

• Yuan, H.*, C. Lu, J. A. McGinley, P. J. Schultz, B. Jamison, L. Wharton, and C. J. Anderson, 2009: Evaluation of short-range quantitative precipitation forecasts from a time-lagged multimodel ensemble. Weather and Forecasting, 24, 18-38. https://doi.org/10.1175/2008WAF2007053.1

• Yuan, H.*, J. A. McGinley, P. J. Schultz, C. J. Anderson, and C. Lu, 2008: Short-range precipitation forecasts from time-lagged multimodel ensembles during the HMT-West-2006 campaign. Journal of Hydrometeorology, 9, 477-491. https://doi.org/10.1175/2007JHM879.1

• Yuan, H.*, S. L. Mullen, X. Gao, S. Sorooshian, J. Du, and H. H. Juang, 2007: Short-range probabilistic quantitative precipitation forecasts over the southwest United States by the RSM ensemble system. Monthly Weather Review, 135, 1685–1698. https://doi.org/10.1175/MWR3373.1

• Yuan, H.*, X. Gao, S. L. Mullen, S. Sorooshian, J. Du, and H. H. Juang, 2007: Calibration of probabilistic quantitative precipitation forecasts with an artificial neural network. Weather and Forecasting, 22, 1287–1303. https://doi.org/10.1175/2007WAF2006114.1

• Yuan, H.*, S. L. Mullen, X. Gao, S. Sorooshian, J. Du, and H. H. Juang, 2005: Verification of probabilistic quantitative precipitation forecasts over the southwest United States during winter 2002/03 by the RSM ensemble system. Monthly Weather Review, 133, 279-294. https://doi.org/10.1175/MWR-2858.1

• Jankov, I., J.-W. Bao, P. J. Neiman, P. J. Schultz, H. Yuan, and A. B. White, 2009: Evaluation and comparison of microphysical algorithms in ARW-WRF model simulations of atmospheric river events affecting the California coast. Journal of Hydrometeorology, 10, 847–870. https://doi.org/10.1175/2009JHM1059.1

• Lu, C., H. Yuan, B. Schwartz, and S. Benjamin, 2007: Short-range numerical weather prediction using time-lagged ensembles. Weather and Forecasting, 22, 580-595. https://doi.org/10.1175/WAF999.1

• Fu, C., and H. Yuan, 2001: A virtual numerical experiment to understand the impacts of recovering natural vegetation on the summer climate and environmental conditions in East Asia. Chinese Science Bulletin, 48, 1199-1202. https://doi.org/10.1007/BF02900602

• 符淙斌,温刚,谢力,赵茂盛,袁慧玲,2002: 东亚季风区气候和生态系统相互作用的诊断和模拟研究. 南京大学学报(自然科学版). 38(3), 281-294. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CJFD&filename=NJDZ200203003&dbname=CJFD2002

• 符淙斌,袁慧玲,2001:恢复自然植被对东亚夏季气候和环境影响的一个虚拟试验. 科学通报. 46(8), 691-695. （注：有英文版）https://doi.org/10.3321/j.issn:0023-074X.2001.08.018