| 风廓线雷达反演温度平流的应用 |
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| 引用本文： | 单楠,何平,吴蕾.风廓线雷达反演温度平流的应用[J].应用气象学报,2016,27(3):323-333. |
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| 作者姓名： | 单楠 何平 吴蕾 |
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| 作者单位： | 1.南京信息工程大学，南京 210044 |
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| 基金项目： | 资助项目： 公益性行业（气象）科研专项（GYHY201306076，GYHY200906039） |
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| 摘 要： | 利用北京延庆站风廓线雷达水平风廓线资料进行大气温度平流的反演，详细分析2014年11月15日夜间冷空气入侵过程，并统计分析2015年9—11月6次冷空气入侵过程，同T639L60模式的预报风场及温度平流预报产品进行对比。结果表明:在一定预报时效内 (约6~12 h)，风廓线雷达获取的水平风廓线与模式给出的预报风场有较好的一致性；由风廓线雷达反演的温度平流与模式给出的温度平流量级相同，温度平流属性一致；风廓线雷达6 min完成1次垂直高度分辨率为120 m的探测，高时空分辨率使风廓线雷达获取的温度平流较T639L60模式更能反映大气温度平流的细节。
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| 关 键 词： | 风廓线雷达 温度平流 T639L60模式 |
| 收稿时间： | 2015-09-22 |
| 修稿时间： | 2/3/2016 12:00:00 AM |
The Application to Temperature Advection Retrieval Based on Wind Profile Radar Data |
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| Shan Nan,He Ping and Wu Lei.The Application to Temperature Advection Retrieval Based on Wind Profile Radar Data[J].Quarterly Journal of Applied Meteorology,2016,27(3):323-333. |
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| Authors: | Shan Nan He Ping and Wu Lei |
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| Affiliation: | 1.Nanjing University of Information Science & Technology, Nanjing 2100442.CMA Meteorological Observation Center, Beijing 100081 |
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| Abstract: | Temperature advection is a basic physical variable in the weather prediction. It directly leads to the change of atmospheric thermal structure and further brings about the alteration of atmospheric physics field, and can reflect the development of weather systems better. In recent years, the technology of wind profile radar(WPR) improves greatly, and WPR data has both high precision and high spatial temporal resolution and could continuously provide the distribution of horizontal winds over time. Based on the concept of temperature advection and the principle of thermal wind, retrieving the temperature advection with high precision and spatial temporal resolution is feasible by algorithms established. The temperature advection information is retrieved from WPR data at Yanqing Station of Beijing, whose results are compared to temperature advection prediction products of Global Medium Range Forecast System of T639L60 (hereinafter, T639L60 model). A cold air invasion process on 15 Nov 2014 in the night is analyzed in detail and 6 more samples occurring from Sep to Nov in 2015 are statistically analyzed for evaluation too. Results show that the horizontal wind of the WPR is highly consistent with the wind prediction data of T639L60 model within a certain amount of prediction time (about 6 to 12 h). The order of magnitude is consistent and the value is close between the retrieval of temperature advection by the WPR data and the initial data of T639L60 model. The quality of retrieving temperature advection depends on the quality of horizontal wind profile data. Temperature advection prediction products of T639L60 model and the real time retrieval products are accordant within a period of 6-12 h depending on the temporal scale of different weather system. The derivation gradually increases as the prediction time lengthens, sometimes even reverse prediction advection attribute may appear. Temperature advection with real time, continuous attribute and high precision can be provided through WPR observations whose time and vertical resolution is 6 min and 120 m, respectively. And some prediction results can be calculated using the measured results by linear extrapolation in a short period. Thus, the precision of numerical forecast can be improved with WPR data assimilated in the future. Preliminary results show that the real time 3D products and forecast products of temperature advection with high precision, spatial and temporal resolution could be generated through high quality WPR network data assimilated. |
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| Keywords: | wind profile radar temperature advection T639L60 model |
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