清华大学城市水文气象研究组
Tsinghua University UrbanHydroMet Lab

2024

65. Qiao Z, Gong A, Li B, et al. How frequent and which variables of automatic weather station data should be assimilated into WRF-3DVar model? A case study of a squall line event in Beijing[J]. Atmospheric Research, 2024: 107460.


64. 李瑞栋, 倪广恒, 陆科成, 等. 北京“23·7”特大暴雨影响下城市交通应急响应时间动态分析:以北京市通州区为例[J]. 应用基础与工程科学学报, 2024, 32(02): 365-377.


2023

63. Gong A, Chen H, Ni G. Improving the Completion of Weather Radar Missing Data with Deep Learning[J]. Remote Sensing, 2023, 15(18): 4568.


62. Li B, Sun T, Tian F, et al. Enhancing process-based hydrological models with embedded neural networks: A hybrid approach[J]. Journal of Hydrology, 2023: 130107.


61. Qin J, Xing Y, Liu J, et al.Modelling analysis of the potential impact of large reservoir on heatwave events[J]. Ecological Indicators, 2023, 154: 110841.


60. Gong A, Li R, Pan B, et al. Enhancing Spatial Variability Representation of Radar Nowcasting with Generative Adversarial Networks[J]. Remote Sensing, 2023, 15(13): 3306.


59. Li B, Li R, Sun T, et al. Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau[J]. Journal of Hydrology, 2023, 620: 129401.


58. Cao X, Qi Y, Ni G. X-band polarimetric radar QPE for urban hydrology: The increased contribution of high-resolution rainfall capturing[J]. Journal of Hydrology, 2023, 617: 128905.


57. Liu J, Sun T, Ni G. Where does the irrigated water in the Tarim Basin go? A hydrological analysis of water budgets and atmospheric transport[J]. Environmental Research Letters, 2023, 18(4): 044019. https://doi.org/10.1088/1748-9326/acc262


56. 刘家辉,倪广恒.灌区对塔里木盆地西部极端暴雨的影响[J/OL].清华大学学报(自然科学版):1-12[2023-07-08].DOI:10.16511/j.cnki.qhdxxb.2023.22.035.


55. 覃建明,刘家辉,乔泽宇等.地表太阳辐射参数化改进在高原山区WRF模式降水模拟中的应用[J/OL].清华大学学报(自然科学版):1-11[2023-07-08].DOI:10.16511/j.cnki.qhdxxb.2023.22.017.


54. 邢月,刘家辉,倪广恒.人为热对城市冬季降水的影响[J/OL].清华大学学报(自然科学版):1-15[2023-07-08].DOI:10.16511/j.cnki.qhdxxb.2023.21.004.


53. Li R, Sun T, Tian F, et al. SHAFTS (v2022. 3): a deep-learning-based Python package for simultaneous extraction of building height and footprint from sentinel imagery[J]. Geoscientific Model Development, 2023, 16(2): 751-778.


2022

52. 李步,田富强,李钰坤等.融合气象要素时空特征的深度学习水文模型[J].水科学进展,2022,33(06):904-913.DOI:10.14042/j.cnki.32.1309.2022.06.005.


51. 曹雪健,戚友存,李梦迪,杨志达,倪广恒.极端暴雨威胁下的城市内涝风险预警系统研究[J].大气科学,2022,46(04):953-964.


2021

50. Cao X, Qi Y, Ni G. Significant impacts of rainfall redistribution through the roof of buildings on urban hydrology. Journal of Hydrometeorology. 2021, 22(4): 1007-1023.


49. Li B, Zhou X, Ni G, et al. A multi-factor integrated method of calculation unit delineation for hydrological modeling in large mountainous basins. Journal of Hydrology. 2021, 597: 126180.


2020

48. Ma, Y.; Chen, H.; Ni, G.; Chandrasekar, V.; Gou, Y.; Zhang, W. Microphysical and Polarimetric Radar Signatures of an Epic Flood Event in Southern China. Remote Sens. 2020, 12, 2772.


47. Cao, X., G. Ni, Y. Qi, and B. Liu, Does sub-grid routing information matter for urban flood forecasting? - A multi-scenario analysis at the land parcel scale. J. Hydrometeor., doi: https://doi.org/10.1175/JHM-D-20-0075.1.


46. Cao, X., Lyu, H., Ni, G., Tian, F., Ma, Y., & Grimmond, C. S. B. (2020). Spatial scale effect of surface routing and its parameter upscaling for urban flood simulation using a grid‐based model. Water Resources Research, 56, e2019WR025468. https://doi.org/10.1029/2019WR025468


45. 邢月,刘家辉,倪广恒.城市冠层粗糙度对暴雨云团运动和降雨落区的影响[J/OL].清华大学学报(自然科学版):1-10[2020-02-25].https://doi.org/10.16511/j.cnki.qhdxxb.2020.22.011.


2019

44. Cao, X. J., & Ni, G. H. (2019, October). Effect of storm network simplification on flooding prediction with varying rainfall conditions. In IOP Conference Series: Earth and Environmental Science (Vol. 344, No. 1, p. 012093). IOP Publishing, doi:10.1088/1755-1315/344/1/012093


43. Ma, Y., Ni, G., Chandra, C. V., Tian, F., and Chen, H.: Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation, Hydrol. Earth Syst. Sci., 23, 4153-4170, 10.5194/hess-23-4153-2019, 2019.


42. 黄蓓,倪广恒.基于WRF-LUCY模型的冬季集中供暖对局地气候的影响[J/OL].清华大学学报(自然科学版):1-9[2019-09-05].https://doi.org/10.16511/j.cnki.qhdxxb.2019.22.040.


41. Xing, Y., Ni, G., Yang, L., Yang, Y., Xing, P., & Sun, T. (2019). Modeling the Impacts of Urbanization and Open Water Surface on Heavy Convective Rainfall: A Case Study over the Emerging Xiong'an City, China. Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2019JD030359


40. Huang, B.; Ni, G.-H.; Grimmond, C.S.B. Impacts of Urban Expansion on Relatively Smaller Surrounding Cities during Heat Waves. Atmosphere 2019, 10, 364. https://doi.org/10.3390/atmos10070364


39. WANG Fushan, SUN Ting, ZHU Dejun, LU Ji, NI Guangheng. Future water temperature simulation of the Nuozhadu Reservoir by the newly developed WRF lake model [J]. Journal of Hydroelectric Engineering, 2019, 38: 1-10. (in Chinese)

王福山,孙挺,朱德军,卢吉,倪广恒.基于WRF湖泊模型的糯扎渡水库未来水温模拟[J/OL].水力发电学报:1-10[2019-07-02].http://kns.cnki.net/kcms/detail/11.2241.TV.20190520.1217.002.html


38. JIANG Bo, WANG Fushan, SHEN Chen, LU Ying, NI Guangheng. Water temperature of Lancang River influenced by its tributary Buyuan River [J]. Journal of Hydroelectric Engineering, 2019, 38(2): 82-88. (in Chinese)

蒋博,王福山,沈忱,陆颖,倪广恒.澜沧江支流补远江对干流水温影响研究[J].水力发电学报,2019,38(02):82-88.


37. Yang, Y., Smith, J., Yang, L., Baeck, M. L., & Ni, G. (2019). Regional impacts of urban irrigation on surface heat fluxes and rainfall in central Arizona. Journal of Geophysical Research: Atmospheres, 124.https://doi.org/10.1029/2018JD030213


36. Wang, F., Ni, G., Riley, W. J., Tang, J., Dejun, Z., & Sun, T. (2019). Evaluation of the WRF lake module (v1. 0) and its improvements at a deep reservoir. Geoscientific Model Development.


35. Su, Hui-Dong and Cao, Xuejian and Wang, Da-Cheng and Jia, Yang-Wen and Ni, Guangheng and Wang, Junhua and Zhang, Mingxi and Niu, Cunwen. Estimation of Urbanization Impacts on Local Weather: A Case Study in Northern China (Jing-Jin-Ji District). Water, 2019, 11(4), 797.


34. Xing ZHOU, Guangheng NI, Zhiyu ZHONG, Shenglian, GUO. Evaluation of Accuracy and Streamflow Simulation of Satellite Precipitation on Nu Basin. Water Resource Research 2019 (in Chinese).

周星, 倪广恒, 仲志余, 郭生练. 卫星降水在怒江流域的精度及径流模拟评估[J]. 水资源研究, 2019, 8(2): 125-135. https://doi.org/10.12677/JWRR.2019.82015


33. Guangtao Fu, Guangheng Ni, Chi Zhang. Recent Advances in Adaptive Catchment Management and Reservoir Operation, Water, 2019, 11(3), 427.


2018

32. LYU Heng, NI Guangheng, TIAN Fuqiang . Impacts of drainage pipe network complexity on urban stormwater modeling. Journal of Hydroelectric Engineering, 2018, Vol. 37, No. 11: 97-106. (in Chinese)

吕恒,倪广恒,田富强.排水管网结构概化对城市暴雨洪水模拟的影响[J].水力发电学报,2018,37(11):97-106.


31. Heng L , Guangheng NI , Xuejian C , et al. Quantitative evaluation of the role of roads in urban drainage and its influencing factors[J]. Journal of Tsinghua University(Science and Technology), 2018. (in Chinese)

吕恒,倪广恒,曹雪健,田富强.道路在城市排涝中的作用及影响因素定量评价[J].清华大学学报(自然科学版),2018,58(10):906-913.


30. Dong, S. H. , Wen, J. Y. , Heng, N. G. , Guo, G. J. , Jian, C. X. , & Xi, Z. M. , et al. (2018). The application of machine learning in runoff prediction. China Rural Water & Hydropower. (in Chinese)

苏辉东,贾仰文,倪广恒,龚家国,曹雪健,张明曦,牛存稳,张迪.机器学习在径流预测中的应用研究[J].中国农村水利水电,2018(06):40-43+48.


29. Jiang B, Wang F, Ni G. Heating Impact of a Tropical Reservoir on Downstream Water Temperature: A Case Study of the Jinghong Dam on the Lancang River[J]. Water, 2018, 10(7): 951.


28. Lyu, H., G. Ni, X. Cao, Y. Ma, and F. Tian (2018), Effect of Temporal Resolution of Rainfall on Simulation of Urban Flood Processes, Water, 10(7), 880, doi: 10.3390/w10070880.


27. Lindberg, F., Grimmond, C. S. B., Gabey, A., Huang, B., Kent, C. W., Sun, T., ... & Chang, Y. (2018). Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services. Environmental Modelling & Software, 99, 70-87.


2017

26. Sun, T., Z.-H. Wang, W. C. Oechel, and S. Grimmond (2017), The Analytical Objective Hysteresis Model (AnOHM v1.0): methodology to determine bulk storage heat flux coefficients, Geosci. Model Dev., 10, 2875-2890,https://doi.org/10.5194/gmd-10-2875-2017


25. Zhu, X., D. Li, W. Zhou, G. Ni, Z. Cong, and T. Sun (2017), An idealized LES study of urban modification of moist convection. Quarterly Journal of the Royal Meteorological Society, 143: 3228–3243. DOI: 10.1002/qj.3176.


24. Yang, Y., T. Zhao, G. H. Ni, and T. Sun (2017), Atmospheric rivers over the Bay of Bengal lead to northern Indian extreme rainfall. Int. J. Climatol. DOI:10.1002/joc.5229.


23. Zhou, X., G. H. Ni, C. Shen, and T. Sun (2017), Remapping annual precipitation in mountainous areas based on vegetation patterns: a case study in the Nu River basin, Hydrol. Earth Syst. Sci., 21(2), 999-1015, DOI: 10.5194/hess-21-999-2017.


22. Nie, W., B. F. Zaitchik, G. Ni, and T. Sun (2017), Impacts of Anthropogenic Heat on Summertime Rainfall in Beijing, Journal of Hydrometeorology, 18(3), 693-712, DOI: 10.1175/jhm-d-16-0173.1.