| A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006) |
| |
| 作者姓名： | 崔晓鹏 许凤雯 |
| |
| 作者单位： | Laboratory of Cloud-Precipitation Physics and Severe Storms (LACS), Institute of Atmospheric Physics, Chinese Academy of Sciences |
| |
| 基金项目： | National Basic Research Program of China (973 Program) under Grant No. 2009CB421505, National Natural Science Foundation of China under Grant No. 40775036 and Knowledge Innovation Program of Chinese Academy of Sciences (IAP07214) |
| |
| 摘 要： | The detailed surface rainfall processes associated with landfalling typhoon Kaemi(2006) are investigated based on hourly data from
a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal
wind, horizontal temperature and vapor advection from National Center for Environmental Prediction (NCEP) / Global Data Assimilation System
(GDAS) data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared (RMS) difference in
surface rain rate between the simulation and the gauge observations is 0.660 mm h-1, which is smaller than the standard
deviations of both the simulated rain rate (0.753 mm h-1) and the observed rain rate (0.833 mm h-1). The simulation
data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results
show that time averaged and model domain-mean Ps mainly comes from large-scale convergence (QWVF) and local vapor loss
(positive QWVT). Large underestimation (about 15%) of Ps will occur if QWVT and QCM (cloud
source/sink) are not considered as contributors to Ps. QWVF accounts for the variation of Ps during most
of the integration time, while it is not always a contributor to Ps. Sometimes surface rainfall could occur when divergence is
dominant with local vapor loss to be a contributor to Ps. Surface rainfall is a result of multi-timescale interactions.
QWVE possesses the longest time scale and the lowest frequency of variation with time and may exert impact on Ps in
longer time scales. QWVF possesses the second longest time scale and lowest frequency and can explain most of the variation of
Ps. QWVT and QCM possess shorter time scales and higher frequencies, which can explain more detailed
variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July.
|
| 关 键 词： | surface rainfall processes landfalling typhoon cloud-resolving modeling study |
A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006) |
| |
| CUI Xiao-peng and XU Feng-wen.A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006)[J].Journal of Tropical Meteorology,2009,15(2):181-191. |
| |
| Authors: | CUI Xiao-peng and XU Feng-wen |
| |
| Institution: | 1. Laboratory of Cloud-Precipitation Physics and Severe Storms LACS,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029 China
2. National Meteorological Center,China Meteorological Administration,Beijing 100081,China |
| |
| Abstract: | The detailed surface rainfall processes associated with landfalling typhoon Kaemi(2006) are investigated based on hourly data from a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal wind, horizontal temperature and vapor advection from National Center for Environmental Prediction (NCEP) / Global Data Assimilation System (GDAS) data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared (RMS) difference in surface rain rate between the simulation and the gauge observations is 0.660 mm h-1, which is smaller than the standard deviations of both the simulated rain rate (0.753 mm h-1) and the observed rain rate (0.833 mm h-1). The simulation data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results show that time averaged and model domain-mean Ps mainly comes from large-scale convergence (QWVF) and local vapor loss (positive QWVT). Large underestimation (about 15%) of Ps will occur if QWVT and QCM (cloud source/sink) are not considered as contributors to Ps. QWVF accounts for the variation of Ps during most of the integration time, while it is not always a contributor to Ps. Sometimes surface rainfall could occur when divergence is dominant with local vapor loss to be a contributor to Ps. Surface rainfall is a result of multi-timescale interactions. QWVE possesses the longest time scale and the lowest frequency of variation with time and may exert impact on Ps in longer time scales. QWVF possesses the second longest time scale and lowest frequency and can explain most of the variation of Ps. QWVT and QCM possess shorter time scales and higher frequencies, which can explain more detailed variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July. |
| |
| Keywords: | surface rainfall processes landfalling typhoon cloud-resolving modeling study |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《热带气象学报(英文版)》浏览原始摘要信息 |
| 点击此处可从《热带气象学报(英文版)》下载免费的PDF全文 |
