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1.
A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006) 总被引:5,自引:0,他引:5
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. 相似文献
2.
The responses of vertical structures,in convective and stratiform regions,to the large-scale forcing during the landfall of tropical storm Bilis(2006) are investigated using the data from a two-dimensional cloud-resolving model simulation.An imposed large-scale forcing with upward motion in the mid and upper troposphere and downward motion in the lower troposphere on 15 July suppresses convective clouds,which leads to ~100% coverage of raining stratiform clouds over the entire model domain.The imposed forci... 相似文献
3.
Application of Radar Reflectivity Factor in Initializing Cloud-Resolving Mesoscale Model. Part Ⅱ: Numerical Simulation Experiments 下载免费PDF全文
Microphysics elements and vertical velocity retrieved were incorporated using the nudging method into the initial data assimilation of GRAPES (Global/Regional Assimilation and Prediction System) model.Simulation experiments indicated that nudging technique was effective in forcing the model forecast gradually consistent to the observations, yielding the thermodynamically and dynamically balanced analysis field. As viewed from the simulation results, water vapor is vital to precipitation, and it is a governing factor for the amount and duration of precipitation. The initial cloud water, rain water, and vertical velocity determine the strength distribution of convection and precipitation at the beginning time of forecast; the horizontal wind field steers the motion of the mesoscale weather system embedded in and impacts the position of precipitation zone to a large extent. The simulation experiments show that the influence of the initial retrieval data on prediction weakens with the increase of forecast time, and within the first hour of forecast, the retrieval data have an important impact on the evolution of the weather system, but its influence becomes trivial after the first three hours. Changing the nudging coefficient and the integral time-spacing of numerical model will bring some influences to the results. Herein only one radar reflectivity was used, the radar observations did not cover the whole model domain, and some empirical parameters were used in the retrieval method, therefore some differences still lie between simulation and observation to a certain extent, and further studies on several aspects are expected. 相似文献
4.
Application of Radar Reflectivity Factor in Initializing Cloud-Resolving Mesoscale Model. Part Ⅰ: Retrieval of Microphysical Elements and Vertical Velocity 下载免费PDF全文
Assuming that cloud reaches static state in the warm microphysical processes, water vapor mixing ratio(qv), cloud water mixing ratio (qc), and vertical velocity (w) can be calculated from rain water mixing ratio (qr)- Through relation of Z-qr, qr can be retrieved by radar reflectivity factor (Z). Retrieval results indicate that the distributions of mixing ratios of vapor, cloud, rain, and vertical velocity are consistent with radar images, and the three-dimensional spatial structure of the convective cloud is presented. Treating q,v saturated at the echo area, the retrieved qr is about 0.1 g kg-1, qc is always less than 0.3 g kg-1, w is usually below 0.5 m s-1, and rain droplet terminal velocity (vr) is around 5.0 m s-1 in the place where radar reflectivity factor is about 25 dBz; in the place where echo is 45 dBz, the retrieved qr and qc are always about 3.0 g kg-1, w is greater than 5.0 m s-1, and vr is around 7.0 m s-1. In the vertical, the maximum updraft velocity is greater than 3.0 m s-1 at the height of around 5.0 kin, the maximum cloud water content is about 3.0 g kg-1 above 5 km and the maximum rain water content is about 3.0 g kg-1 below 6 kin. Due to the assumption that the cloud is in static state, there will be some errors in the retrieved variables within the clouds which axe rapidly growing or dying-out, and in such cases, more sophisticated radar data control technique will help to improve the retrieval results. 相似文献
5.
Water vapor, cloud, and surface rainfall budgets associated with the landfall of Typhoon
Krosa on 6--8 October 2007 are analyzed based on a two-dimensional cloud-resolving model simulation.
The model is integrated with imposed zonally-uniform vertical velocity, zonal wind, horizontal
temperature, and vapor advection from NCEP/Global Data Assimilation System (GDAS) data. The simulation
data that are validated with observations are examined to study physical causes associated with
surface rainfall processes during the landfall. The time- and domain-mean analysis shows that when
Krosa approached the eastern coast of China on 6 October, the water vapor convergence over land caused
a local atmospheric moistening and a net condensation that further produced surface rainfall and an
increase of cloud hydrometeor concentration. Meanwhile, latent heating was balanced by advective
cooling and a local atmospheric warming. One day later, the enhancement of net condensation led to
an increase of surface rainfall and a local atmospheric drying, while the water vapor convergence
weakened as a result of the landfall-induced deprivation of water vapor flux. At the same time,
the latent heating is mainly compensated the advective cooling. Further weakening of vapor convergence
on 8 October enhanced the local atmospheric drying while the net condensation and associated surface
rainfall was maintained. The latent heating is balanced by advective cooling and a local atmospheric
cooling. 相似文献
6.
Yoo-Jun KIM So-Ra IN Hae-Min KIM Jin-Hwa LEE Kyu Rang KIM Seungbum KIM Byung-Gon KIM 《大气科学进展》2021,38(3):413-429
This study investigates the characteristics of cold clouds and snowfall in both the Yeongdong coastal and mountainous regions under different meteorological conditions based on the integration of numerical modeling and three-hourly rawinsonde observations with snow crystal photographs for a snowfall event that occurred on 29?30 January 2016.We found that rimed particles predominantly observed turned into dendrite particles in the latter period of the episode when the 850 hPa temperature decreased at the coastal site,whereas the snow crystal habits at the mountainous site were largely needle or rimed needle.Rawinsonde soundings showed a well-defined,two-layered cloud structure along with distinctive wind-directional shear,and an inversion in the equivalent potential temperature above the low-level cloud layer.The first experiment with a decrease in lower-layer temperature showed that the low-level cloud thickness was reduced to less than 1.5 km,and the accumulated precipitation was decreased by 87%compared with the control experiment.The difference in precipitation amount between the single-layered experiment and control experiment(two-layered)was not so significant to attribute it to the effect of the seeder?feeder mechanism.The precipitation in the last experiment by weakening winddirectional shear was increased by 1.4 times greater than the control experiment specifically at the coastal site,with graupel particles accounting for the highest proportion(~62%).The current results would improve snowfall forecasts in complicated geographical environments such as Yeongdong in terms of snow crystal habit as well as snowfall amount in both time and space domains. 相似文献
7.
The surface rainfall processes associated with the torrential rainfall event over Hubei,China,during July 2007 were investigated using a two-dimensional cloud-resolving model.The model integrated the large-scale vertical velocity and zonal wind data from National Centers for Environmental Prediction(NCEP)/Global Data Assimilation System(GDAS) for 5 days.The time and model domain mean surface rain rate was used to identify the onset,mature,and decay periods of rainfall.During the onset period,the descending motion data imposed in the lower troposphere led to a large contribution of stratiform rainfall to the model domain mean surface rainfall.The local atmospheric drying and transport of rain from convective regions mainly contributes to the stratiform rainfall.During the mature periods,the ascending motion data integrated into the model was so strong that water vapor convergence was the dominant process for both convective and stratiform rainfall.Both convective and stratiform rainfalls made important contributions to the model domain mean surface rainfall.During the decay period,descending motion data input into the model prevailed,making stratiform rainfall dominant.Stratiform rainfall was mainly caused by the water vapor convergence over raining stratiform regions. 相似文献
8.
ABSTRACT Rainfall responses to doubled atmospheric carbon dioxide concentration were investigated through the analysis of two pairs of two-dimensional cloud-resolving model sensitivity experiments. One pair of experiments simulated pre-summer heavy rainfall over southern China around the summer solstice, whereas the other pair of experiments simulated tropical rainfall around the winter solstice. The analysis of the time and model domain mean heat budget revealed that the enhanced local atmospheric warming was associated with doubled carbon dioxide through the weakened infrared radiative cooling during the summer solstice. The weakened mean pre-summer rainfall corresponded to the weakened mean infrared radiative cooling. Doubled carbon dioxide increased the mean tropical atmospheric warming via the enhanced mean latent heat in correspondence with the strengthened mean infrared radiative cooling during the winter solstice. The enhanced mean tropical rainfall was associated with the increased mean latent heat. 相似文献
9.
Precipitation and associated cloud hydrometeors have large temporal and
spatial variability, which makes accurate quantitative precipitation
forecasting difficult. Thus, dependence of accurate precipitation and
associated cloud simulation on temporal and spatial scales becomes an
important issue. We report a cloud-resolving modeling analysis on this issue
by comparing the control experiment with experiments perturbed by initial
temperature, water vapor, and cloud conditions. The simulation is considered
to be accurate only if the root-mean-squared difference between the
perturbation experiments and the control experiment is smaller than the
standard deviation. The analysis may suggest that accurate precipitation and
cloud simulations cannot be obtained on both fine temporal and spatial
scales simultaneously, which limits quantitative precipitation forecasting.
The accurate simulation of water vapor convergence could lead to accurate
precipitation and cloud simulations on daily time scales, but it may not be
beneficial to precipitation and cloud simulations on hourly time scales due
to the dominance of cloud processes. 相似文献
10.
In this study,the effects of key ice microphysical processes on the pre-summer heavy rainfall over southern China during 3-8 June 2008 were investigated.A series of two-dimensional sensitivity cloud-resolving model simulations were forced with zonally uniform vertical velocity,zonal wind,horizontal temperature,and water vapor advection data from the National Centers for Environmental Prediction(NCEP)/Global Data Assimilation System(GDAS).The effects of key ice microphysical processes on the responses of rainfall to large-scale forcing were analyzed by comparing two sensitivity experiments with a control experiment.In one sensitivity experiment,ice crystal radius,associated with depositional growth of snow from cloud ice,was reduced from 100 μm in the control experiment to 50 μm,and in the other sensitivity experiment the efficiency of the growth of graupel from the accretion of snow was reduced to 50% from 100% in the control experiment.The results show that the domain-mean rainfall responses to these ice microphysical processes are stronger during the decay phase than during the onset and mature phases.During the decay phase,the increased mean rain rate resulting from the decrease in ice crystal radius is associated with the enhanced mean local atmospheric drying,the increased mean local hydrometeor loss,and the suppressed mean water vapor divergence.The increased mean rain rate caused by the reduction in accretion efficiency is related to the reduced mean water vapor divergence and the enhanced mean local hydrometeor loss. 相似文献