Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD029364 |
Impact of Assimilating Himawari-8-Derived Layered Precipitable Water With Varying Cumulus and Microphysics Parameterization Schemes on the Simulation of Typhoon Hato | |
Lu, Jiazheng1,2; Feng, Tao1,2; Li, Jun3; Cai, Zelin1,2; Xu, Xunjian1,2; Li, Li1,2; Li, Jinlong3 | |
2019-03-27 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:6页码:3050-3071 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Understanding moisture information ahead of tropical cyclone (TC) convection is very important for predicting TC track, intensity, and precipitation. The advanced Himawari imager onboard the Japanese Himawari-8/-9 satellite can provide high spatial and temporal resolution moisture information. Three-layered precipitable water (LPW) with its three water vapor absorption infrared bands can be assimilated to generate better understanding and prediction of TC evolution. The impacts of LPW assimilation in the Weather Research and Forecasting model with nine combinations of physical parameterization schemes, including three cumulus parameterization (CP) and three microphysics parameterization (MP) schemes on TC prediction, have been comprehensively analyzed using Typhoon Hato as a case study. The results indicate that LPW assimilation reduces the average track error and speed up TC movement by better adjustment of the atmospheric circulation fields via changing the vertical structure of moisture and thermal profile. The track forecasts retain sensitivity to CP schemes after LPW assimilation. Also, LPW assimilation improves TC intensity prediction because the latent heat release process is accurately adjusted. It has been revealed that LPW assimilation can weaken the intensity sensitivity to MP schemes more than to CP schemes. Skill scores were used to evaluate precipitation forecasts after Hato's landfall. The results indicate that heavy precipitation forecasts are more sensitive to the choice of MP schemes. After LPW assimilation, the equitable threat scores among different results become similar and all forecast skills are increased. In addition, group statistic results with different initial time show the same conclusions. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000464653500013 |
WOS关键词 | BASE-LINE IMAGER ; GOES-R ; RAPID INTENSIFICATION ; HURRICANE FORECASTS ; INFRARED SOUNDERS ; CLOUDY SKIES ; SEVERE STORM ; PART I ; WRF ; SENSITIVITY |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/181713 |
专题 | 气候变化 |
作者单位 | 1.State Key Lab Disaster Prevent & Reduct Power Gri, Changsha, Hunan, Peoples R China; 2.State Grid Hunan Elect Power Corp Ltd, Disaster Prevent & Reduct Ctr, Changsha, Hunan, Peoples R China; 3.Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI USA |
推荐引用方式 GB/T 7714 | Lu, Jiazheng,Feng, Tao,Li, Jun,et al. Impact of Assimilating Himawari-8-Derived Layered Precipitable Water With Varying Cumulus and Microphysics Parameterization Schemes on the Simulation of Typhoon Hato[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(6):3050-3071. |
APA | Lu, Jiazheng.,Feng, Tao.,Li, Jun.,Cai, Zelin.,Xu, Xunjian.,...&Li, Jinlong.(2019).Impact of Assimilating Himawari-8-Derived Layered Precipitable Water With Varying Cumulus and Microphysics Parameterization Schemes on the Simulation of Typhoon Hato.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(6),3050-3071. |
MLA | Lu, Jiazheng,et al."Impact of Assimilating Himawari-8-Derived Layered Precipitable Water With Varying Cumulus and Microphysics Parameterization Schemes on the Simulation of Typhoon Hato".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.6(2019):3050-3071. |
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