|
|
|
|
|
|
| A Method for Assimilating the Raman Lidar Detecting Temperature in WRF on Simulating the Short-Time Heavy Rainfall |
| LI Bo1, 2, PU Ya-zhou1, WANG Nan3, WANG Yu-feng1, DI Hui-ge1, SONG Yue-hui1, HUA Deng-xin1* |
1. School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an 710048, China
2. Institute of Tropical and Marine Meteorology/Guangdong Provinical Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, Guangzhou 510080, China
3. The Meteorological Observatory of Shaanxi Province, Xi’an 710014, China |
|
|
|
|
Abstract In order to take full advantage of Raman lidar, a high-resolution detecting experiment was carried out at the periphery of the convective cloud, and a temperature with a vertical resolution of 4 m was inversed by using the synthetically multilevel quality analysis and control technique. Three groups of experiments were conducted, and a novel method for assimilating the lidar detecting temperature was especially proposed based on the coupling between the Multiquadric method and WRFDA (the Weather Research and Forecasting model Data Assimilation system). Firstly, a controlled experiment (CTRL) was carried out, and the suitable model parameters were obtained after debugging model. Secondly, based on the WRFDA module, the conventional observational data, including ground station and radiosonde station were integrated into the initial field. The results showed that TS increased by 0.07, and the dummy precipitation in southwest Shaanxi was successfully avoided. Thirdly, the Multiquadric method was used to assimilate Lidar data. TS increased by 0.12, and the Miss hit forecast rate was reduced by 0.09. When the lidar data was integrated into the WRF model, the positive simulation effects could be obtained according to quantitative and qualitative analysis. It was also discovered that the variation of simulation precipitation was because of the change of elements, including wind, water vapor, and temperature. Lidar could be well used to detect short-time heavy rainfall, according to this study.
|
|
Received: 2019-04-02
Accepted: 2019-10-14
|
|
|
|
Corresponding Authors:
HUA Deng-xin
E-mail: dengxinhua@xaut.edu.cn
|
|
[1] Wang Nan. Meteorological and Environmental Research, 2010, 4: 56.
[2] TANG Xi-ba, PING Fan, LUO Zhe-xian(唐细坝, 平 凡, 罗哲贤). Chinese Journal of Geophysics(地球物理学报), 2016, 59(1): 45.
[3] Xue M, Martin W J. Mon. Wea. Rev., 2006, 134: 149.
[4] FAN Shui-yong, CHEN Min, ZHONG Qi-qin(范水勇, 陈 敏, 仲跻芹). Torrential Rain and Disasters(暴雨灾害), 2009, 28(2): 119.
[5] CHEN Zi-tong, HUANG Yan-yan, WAN Qi-lin(陈子通, 黄燕燕, 万齐林). Journal of Tropical Meteorlogy(热带气象学报), 2010, 26(1): 49.
[6] CHEN Bao-de, WANG Xiao-feng, LI Hong(陈葆德, 王晓峰, 李 泓). Advances in Meteorological Science and Technology(气象科技进展), 2013, 3(2): 29.
[7] DU Qi-cheng, QIU Xue-xing, LIU Yu-lu(杜其成, 邱学兴, 刘裕禄). Meteorological and Environmental Sciences(气象与环境科学), 2014, 37(4): 50.
[8] NI Yun-qi, ZHOU Xiu-ji, ZHANG Ren-he(倪允琪, 周秀骥, 张人禾). Journal of Applied Meteorological Science(应用气象学报), 2006, 17(6): 690.
[9] LIU Yu-li, XIE Chen-bo, SHANG Zhen, et al. Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2016, 36(6): 1978.
[10] WANG Yu-feng, GAO Fei, ZHU Cheng-xuan(王玉峰, 高 飞, 朱承炫). Acta Optica Sinica(光学学报), 2015, 35(3): 0328004.
[11] LI Bo, HUA Deng-xin, ZHOU Yan(李 博, 华灯鑫, 周 艳). Acta Optica Sinica(光学学报), 2017, 37(4): 0428003.
[12] Hardy R L. J. Geophys. Res., 1971, 76: 1905.
[13] HE Bin, HUANG Yuan, CHEN Liang(何 斌, 黄 渊, 陈 亮). Plateau Meteorology(高原气象), 2014, 33(1): 171.
[14] LI Bo, ZHAO Si-xiong, LU Han-cheng(李 博, 赵思雄, 陆汉城). Journal of Applied Meteorological Science(应用气象学报), 2008, 19(3): 307. |
| [1] |
WANG Jie1, 2, 3, LIU Wen-qing1, 2, 4, ZHANG Tian-shu1, XIA Jian-dong5, DENG Wei5, HU Wen-jie5. Collaborative Observation of Vertical Structures of Ozone and Aerosol in a Dust Episode Based on Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2258-2265. |
| [2] |
TAN Min1, 2, 3, WANG Bang-xin1, 2, 3*, ZHUANG Peng1, 2, 3, ZHANG Zhan-ye1, 2, 3, LI Lu1, 2, 3, CHU Yu-fei1, 2, 3, XIE Chen-bo1, 2, WANG Ying-jian1, 2. Study on Atmospheric Temperature and Water-Vapor Mixing Ratio Based on Raman Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(05): 1397-1401. |
| [3] |
ZHANG Tong, QU Xing-hua, ZHANG Fu-min*. The Slight Vibrations Compensation of FMCW Ranging Method Based on Three Light Paths Structure[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(04): 1007-1011. |
| [4] |
WANG Jie1, 2, 3, LIU Wen-qing1, 2, ZHANG Tian-shu1*, WAN Xue-ping3, GAO Jie3, LI Ling3, MA Na3. Mapping for Horizontal Aerosol Density Field by a Portable Dual-FOV Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(09): 2664-2669. |
| [5] |
XIONG Xing-ting, QU Xing-hua*, ZHANG Fu-min. The Influence of Noise on Ranging Accuracy of the Frequency Modulation Continuous Wave Laser Radar Based on Equal Frequency Sampling Method and Experimental Verification[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(08): 2332-2336. |
| [6] |
RAO Zhi-min, HE Ting-yao*, HUA Deng-xin, CHEN Ruo-xi. Remote Sensing of Particle Mass Concentration Using Multi-Wavelength Lidar[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 38(04): 1025-1030. |
| [7] |
WANG Li, TAN Lin-qiu, CHANG Bo, LU Geng-geng, GAO Fei, HUA Deng-xin* . Doppler Lidar with High Sensitivity and Large Dynamic Range for Atmospheric Wind Measurement[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(03): 958-963. |
| [8] |
LIU Yu-li1,2, XIE Chen-bo1*, SHANG Zhen1, ZHAO Ming1, CAO Kai-fa1, SUN Yue-sheng2. Retrieval and Analysis of Atmospheric Temperature Using a Rotational Raman Lidar Observation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2016, 36(06): 1978-1986. |
| [9] |
Lü Li-hui, LIU Wen-qing, ZHANG Tian-shu, LU Yi-huai, DONG Yun-sheng, CHEN Zhen-yi, FAN Guang-qiang, QI Shao-shuai. Two Data Inversion Algorithms of Aerosol Horizontal Distribution Detected by MPL and Error Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(07): 1774-1778. |
| [10] |
TAO Hui-rong, ZHANG Fu-min*, QU Xing-hua . Backscattering Characteristics of Machining Surfaces and Retrieval of Surface Multi-Parameters [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(07): 1986-1991. |
| [11] |
GE Xian-ying, CHEN Si-ying*, ZHANG Yin-chao, CHEN He, GUO Pan, BU Zhi-chao, CHEN Sheng-zhe . The Echelle Grating Monochromator’s Design of Pure Rotational Raman Lidar [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2013, 33(02): 567-570. |
| [12] |
FAN Guang-qiang, LIU Jian-guo*, LIU Wen-qing, LU Yi-huai, ZHANG Tian-shu, DONG Yun-sheng, ZHAO Xue-song . A New Retrieval Method for Ozone Concentration at the Troposphere Based on Differential Absorption Lidar [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(12): 3304-3308. |
| [13] |
RONG Wei1, 2, CHEN Si-ying1, 2*, ZHANG Yin-chao1, 2, CHEN He1, 2, GUO Pan1, 2 . Obtaining Aerosol Backscattering Coefficient Using Pure Rotational Raman-Mie Scattering Spectrum [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(11): 3024-3027. |
| [14] |
LIU Qiao-jun1,2, CHENG A Y S1,2*, ZHU Jian-hua1, FONG S K3, CHANG S W3, TAM K S3, Viseu A3 . Ultraviolet Mie Lidar Observations of Aerosol Extinction in a Dust Storm Case over Macao [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(03): 625-629. |
| [15] |
MAO Jian-dong1,2, HUA Deng-xin2*, HE Ting-yao2, WANG Ming2 . Lidar Observations of Atmospheric Aerosol Optical Properties over Yinchuan Area [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2010, 30(07): 2006-2010. |
|
|
|
|
