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| 沙尘天气定量分级方法研究与应用 | |
| 引用本文： | 矫梅燕,赵琳娜,卢晶晶,王超.沙尘天气定量分级方法研究与应用[J].气候与环境研究,2007,12(3):350-357. |
| 作者姓名： | 矫梅燕 赵琳娜 卢晶晶 王超 |
| 作者单位： | 1. 中国科学院大气物理研究所,北京,100029;中国科学院研究生院,北京,100049;国家气象中心,北京,100081 2. 国家气象中心,北京,100081 3. 宁波市气象局,宁波,315012 |
| 基金项目： | 科技部社会公益研究项目;财政部研究项目 |
| 摘 要： | 利用已有的关于能见度与沙尘浓度统计反演关系的研究成果,对沙尘天气进行了定量分级研究.利用2004、2005年春季3～5月沙尘天气地面气象观测资料,采用沙尘天气的强度分类与反演的沙尘浓度分级的统计方法,建立了不同沙尘天气(扬沙、沙尘暴和强沙尘暴)对应的沙尘浓度等级,并通过对2006年沙尘天气的实例分析,验证了该种分级方法的可用性.通过由能见度反演的观测结果与沙尘数值预报模式的对比分析,探讨了沙尘数值预报业务模式产品的天气学释用方法,建立了不同强度沙尘天气与沙尘数值模式输出的浓度之间的定量分级关系. |
| 关 键 词： | 沙尘天气 定量分级 天气学释用 |
| 文章编号： | 1006-9585（2007）03-0350-08 |
| 修稿时间： | 2007-04-012007-04-20 |
Quantitative Classification of Northeast Asian Dust Weather and Its Applications |
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| JIAO Mei-Yan,ZHAO Lin-N,LU Jing-Jing and WANG Chao.Quantitative Classification of Northeast Asian Dust Weather and Its Applications[J].Climatic and Environmental Research,2007,12(3):350-357. | |
| Authors: | JIAO Mei-Yan ZHAO Lin-N LU Jing-Jing and WANG Chao |
| Institution: | 1.Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029 ;2.Graduate University of Chinese Academy of Sciences, Beijing 100049 ;3.National Meteorological Center, China Meteorological Administration, Beijing 100081;4. Ningbo Municipal Meteorological Bureau, Ningbo 315012 |
| Abstract: | A classification based on dust concentration for operational usage is studied.A method to classify the dust weather(e.g.,severe dust storm,dust storm and blowing dust) based on the retrieved dust concentration was set up by employing a statistic formulation between observed visibilities and the dust concentration.These results were derived from the dust cases from March to May,2004 and 2005.The dust model output was verified by using the observational-derived dust concentration.The good agreement between them can be found.It shows that the numerical dust prediction model has the skill in modeling the dust event,however,there still exist the bias between them.Therefore,it is necessary to explore a new statistical relationship to utilize the model output in order to reduce the bias.According to the same statistic formulation above,a revised statistical relationship is proposed in which the predicted dust concentration from model,rather than observation one,was classified to match the dust weather classification.The significance of the new classification of the dust concentration is to make the model prediction to be used better in dust weather forecast. |
| Keywords: | dust weather classification on dust concentration interpretation of numerical prediction |
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