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Evaluation of a radar-based storm nowcasting method in the Three Gorges |
| YANG Wenyu1, LI Zhe1, NI Guangheng1, HONG Yang1, Ali Zahraei2 |
1. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
2. Cooperative Remote Sensing Science and Technology Center, National Oceanic and Atmospheric Administration, New York NY 10031, USA |
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Abstract A pixel-based nowcasting algorithm (PBN) was applied at the Three Gorges Region to forecast the rainfall in the short-term. During the 2010 summer, 11 rainfall events gathered with radar were used to evaluate the algorithm performance with four performance statistics including the correlation coefficient, probability of detection, false alarm ratio and critical success indes. The correlation coefficient of the one-hour forecast results is close to 0.6, which suggests that the PBN algorithm effectively tracks and predicts rainfall events within an hour of their occurrence. An analysis of four rainfall events using these performance statistics suggested that the PBN algorithm is a promising nowcasting platform for typical stratiform rainfall events over a large area. However, the algorithm still cannot accurately forecast rainfall with several convective centers.
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| Keywords
nowcasting
weather radar
accuracy assessment
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Issue Date: 15 June 2015
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| [1] |
卢江涛. 利用天气雷达估测和预报降雨分布的研究 [D]. 清华大学, 2011.LU Jiangtao. Study on Precipitation Estimation and Nowcasting Based on Weather Radar [D]. Beijing: Tsinghua University, 2011. (in Chinese)
|
| [2] |
袁晓清, 倪广恒, 潘安君, 等. 基于最优化算法的北京市新一代天气雷达Z-R 关系研究 [J]. 水文, 2010, 30 (1): 1-6. YUAN Xiaoqing, NI Guangheng, PAN Anjun, et al. NEXRAD Z-R power relationship in Beijing based on optimization algorithm [J]. Journal of China Hydrology, 2010, 30(1): 1-6. (in Chinese)
|
| [3] |
潘安君, 卢江涛, 田富强, 等. 雷达测雨的最优化方法在分布式城市洪水算法中的应用 [J]. 中国水利, 2011(23): 54-55. PAN Anjun, LU Jiangtao, TIAN Fuqiang, et al. Radar rainfall optimization method in a distributed model of urban flood [J]. China Water Recourses, 2011 (23): 54-55. (in Chinese)
|
| [4] |
李哲, 杨大文, 洪阳, 等. 基于天气雷达的长江三峡区间降雨定量估测方法 [J]. 水力发电学报, 2014, 33(3): 5.LI Zhe, YANG Dawen, HONG Yang, et al. Radar-based quantitative precipitation estimate in the Three Gorges Region of Yangtze River [J].Journal of Hydroelectric Engineering, 2014, 33(3): 5 (in Chinese)
|
| [5] |
李哲, 杨大文, 田富强, 等. 基于地面雨情信息的长江三峡区间洪水预报研究 [J]. 水力发电学报, 2013, 32(1): 42-49. LI Zhe, YANG Dawen, TIAN Fuqiang, et al. Flood forecast for Three Gorges region of the Yangtze based on ground-observed rainfall [J]. Journal of Hydroelectric Engineering, 2013, 32(1): 42-49. (in Chinese).
|
| [6] |
Berenguer F M, Sempere T D. Radar-based rainfall nowcasting at European scale: Long-term evaluation and performance assessment [C]//Proceedings of the 36th AMS Conference on Radar Meteorology. Breckenridge, USA: American Meteorological Society, 2013.
|
| [7] |
Wilson J W, Ebert E E, Saxen T R, et al. Sydney 2000 forecast demonstration project: Convective storm nowcasting [J]. Weather & Forecasting, 2004, 19: 131-150.
url: http://dx.doi.org/er
|
| [8] |
Zahraei A, Hsu K, Sorooshian S, et al. Quantitative precipitation nowcasting: A Lagrangianpixel-based approach [J]. Atmospheric Research, 2012, 118: 418-434.
url: http://dx.doi.org/10.1016/j.atmosres.2012.07.001
|
| [9] |
Golding B W. Nimrod: A system for generating automated very short range forecasts [J].Meteorological Applications, 1998, 5(1), 1-16.
|
| [10] |
Seed A W. A dynamic and spatial scaling approach to advection forecasting [J].Journal of Applied Meteorology and Climatology, 2003, 42: 381-388.
url: http://dx.doi.org/10.1175/1520-0450(2003)042<0381:ADASSA>2.0.CO;2
|
| [11] |
Dixon M, Wiener G. TITAN: Thunderstorm identification, tracking, analysis, and nowcasting: A radar-based methodology [J]. Journal of Atmospheric and Oceanic Technology, 1993, 10(6):785-797.
|
| [12] |
Montanari L, Montanari A, Toth E A. A comparison and uncertainty assessment of system analysis techniques for short-term quantitative precipitation nowcasting based on radar images [Z/OL]. (2014-06-20), http://onlinelibrary.wiley.com/doi/10.1029/2005JD006729/.
url: http://onlinelibrary.wiley.com/doi/10.1029/2005jd006729/.
|
| [13] |
Evans A N. Cloud tracking using ordinal measures and relaxation labelling [C]//Proceedings of International Geoscience and Remote Sensing Symposium. Hamburg, Germany: IEEE, 1999: 1259-1261.
|
| [14] |
Evans A N. On the use of ordinal measures for cloud tracking [J]. International Journal of Remote Sensing, 2000, 21(9):1939-1944.
|
| [15] |
Kambhamettu C, Palaniappan K, Hasler A F. Hierarchical motion decomposition for cloud-tracking [C]//Proceedings of AMS 17th Conference Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology. Albuquerque, USA: American Meteorological Society, 2001: 318-323.
|
| [16] |
Bergen J R, Anandan P, Hanna K J, et al. Hierarchical model-based motion estimation [C]//Proceedings of Computer Vision-ECCV. Berlin, Germany: Springer, 1992: 237-252.
|
| [17] |
Toklu C, Erdem A T, Sezan M I, et al. Tracking motion and intensity variations using hierarchical 2-D mesh modeling for synthetic object transfiguration [J]. Graphical Models and Image Processing, 1996, 58(6): 553-573
|
| [18] |
Bellerby T J. High-resolution 2-D cloud-top advection from geostationary satellite imagery [J]. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44(12): 3639-3648.
|
| [19] |
王改利, 刘黎平. 多普勒雷达资料在暴雨临近预报中的应用 [J]. 气象, 2006, 31(10): 12-15.WANG Gaili, LIU Liping. Application of Doppler radar data to nowcasting of heavy rainfall [J]. Meteorological Monthly, 2006, 31(10): 12-15. (in Chinese)
url: http://www.cnki.com.cn/Article/CJFDTotal-YYQX200703016.htm
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2015,
Vol. 55
