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1.
超强台风Saomai(0608)加强成因分析及 海温影响的数值试验研究* 总被引：4，自引：0，他引：4
以严重影响我国的2006年8号超强台风Saomai为研究对象,首先从大尺度环流特征和物理量场对其登陆前强度不断加强成因作诊断分析,指出台风加强与副高的加强和南落、低空持续加强的水汽输送、高空流出气流的强辐散、台风移向垂直切变小值区和暖洋面密切相关。然后,利用中尺度数值模式MM5分析了海温高低对台风强度变化的影响,试验结果表明台风强度对海温十分敏感,海温改变可以引起台风强度的迅速变化,海温降低2℃将使台风最终减弱19hPa。边界层通量的分析表明,海温变化对台风强度的影响中潜热通量的作用是主要的,而感热输送的作用较小。就海温变化是否引起诸多台风强度影响因子分析发现,高海温使台风区域低空气旋式环流和高层辐散流出加强,导致低空更多的水汽向该区辐合,暖海面上空潮湿空气的辐合上升释放大量的凝结潜热为台风的发展加强提供了更多的水汽和能量。对比试验还表明,正位涡向下输送预示着台风将快速加强。另外,本次试验中海温变化对台风移动路径影响不明显, 因而对环境风的垂直切变影响较小。 相似文献
2.
北冰洋浮冰区近冰层湍流通量计算方法比较 总被引：8，自引：0，他引：8
利用2003年中国第二次北极科学考察获得的北冰洋浮冰区近冰层气象要素梯度观测资料,应用空气动力学的廓线法和总体输送法以及不同的普适函数,计算分析了2003年8月23日至9月4日浮冰区近冰层的摩擦速度、感热通量和潜热通量.结果表明:Holtslag普适函数的计算结果明显优于其它普适函数,总体输送法计算的不同层次湍流通量比廓线法更能够满足近冰层的常值通量层的假设,其结果可望为进一步优化北冰洋浮冰区边界层参数化方案和提高计算精度提供重要依据. 相似文献
3.
基于CLM模式的青藏高原土壤冻融过程陆面特征研究 总被引：3，自引：3，他引：0
使用位于青藏高原东部若尔盖站的观测数据驱动CLM3.5模式,设计一组去除模式中冻融过程的"退化试验",进行为期一年的模拟研究。通过对比原试验与敏感性试验模拟结果,初步分析冻融过程在土壤温度变化、各能量通量分配中的作用,得到以下结论：（1）冻融过程是土壤温度变化的"缓冲器",冻结过程向周围环境释放能量减缓了土壤降温的速率,使土壤温度不至降得太低,而消融过程从周围环境吸收能量减缓了土壤升温的速率,使土壤温度不至升高太多;（2）冻融过程改变了地表辐射通量,土壤冻结改变了地表反照率,改变了向上短波辐射,且由于冻结过程减缓了地表温度的下降,改变了地表向上长波辐射,进而改变了净辐射通量;（3）冻融过程显著地改变了陆面能量的分配,通过相变能量的释放和吸收增大了地气间能量的传输,显著地增大了地表土壤热通量,且通过改变地表温度和地表蒸发,改变了感热及潜热通量。在冻结过程及完全冻结阶段,感热及潜热通量均增大,但在消融过程阶段,感热及潜热通量均减小。冻融过程对土壤热通量及感热通量的影响在冻结过程及完全冻结阶段更为显著,而对潜热的影响则是在消融过程阶段更为显著。 相似文献
4.
在Kuo-Anthes垂直对流参数化方案和Nordeng倾斜对流参数化方案基础上,提出了垂直-倾斜对流一体化参数化方案,在引入MM5模式后,对1999年6月发生在长江流域的一次大尺度带状强降水过程进行了数值模拟及敏感性试验。结果表明:在模式中引入倾斜对流参数化方案,可有效改进模式模拟的降水强度和位置,加快形成锋面附近的垂直环流并使之得到增强,模拟结果更接近实况。同时也表明,在模拟和预报具有对称不稳定的天气系统时,在模式中考虑倾斜对流参数化方案是必要的。 相似文献
5.
青藏高原西部陆面过程特征的模拟分析 总被引：15，自引：4，他引：11
利用1998年5月1日至9月18日狮泉河自动气象站(AWS)的观测资料作为强迫场,运用改进的陆面过程模式CoLM(Common Land Model),对青藏高原西部的陆面特征进行了模拟研究.结果表明,该模式能够较好地模拟出高原地区的陆面特征.在高原西部地表能量平衡过程中,感热通量占主要地位,潜热通量较小,但在高原西部的湿季,潜热通量也是不可忽略的.在5月及6月初表层土壤频繁的发生水分相变,使土壤在相变过程中不断地吸收和释放潜热.降水及土壤表层频繁的冻结-消融使地表有效通量(感热+潜热)发生变化.有效辐射中的感热、潜热的分配,即Bowen会发生变化,进一步影响到对大气的加热及大气水汽输送情况,大气状况的改变又反过来影响地表蒸散及土壤持水能力,使土壤水分状态和含量发生变化. 相似文献
6.
不同积云对流参数化方案对黑河流域降水模拟的影响 总被引：2，自引：0，他引：2
使用NCEP-fnl再分析资料作为黑河流域高分辨率区域气候模式的初始场和边界场,利用该模式中常用的3种积云对流参数化方案:Grell,Bett-Miller(BM)和不采用积云对流参数化方案(NON)对黑河流域进行2000年1月1日至12月31日的积分试验,重点考察水平分辨率在3 km条件下不同积云对流参数化方案对黑河流域降水模拟的敏感性。结果表明:①卫星遥感反演的黑河流域的降水较观测台站降水偏少,卫星遥感反演日降水与观测台站日降水的相关系数达到0.34,相关系数通过99%置信度检验;②模式采用3种参数化方案都能够较好地模拟出年降水空间分布以及不同区域日平均降水随时间演变,与观测之间的相关系数都通过99%置信度检验;③对于黑河流域来说,在水平分辨率为3 km条件下区域气候模式采用Grell积云对流参数化方案较其他2种方案无论从空间和时间演变来说均更加接近观测。 相似文献
7.
夏季草原与戈壁地表能量分析 总被引：1，自引：0，他引：1
利用野外试验资料，比较分析了夏季祁连山区草原和河西走廊张掖戈壁地表能量特征，并探讨了环境因素与地表能量特征的关系。结果表明，在夏季典型晴天，山区草原的净辐射、潜热通量大于戈壁，而感热、土壤热通量小于戈壁；山区草原净辐射、潜热通量的日变化大于戈壁；而感热、土壤热通量的日变化小于戈壁。在山区草原，晴天潜热通量是土壤热通量的三倍多，感热通量与土壤热通量差异很小，净辐射主要用于蒸发、蒸腾；在戈壁，晴天土壤热通量和感热通量是潜热通量的近两倍，净辐射主要用于加热地表，并通过地表加热下层土壤和地面大气。两地均存在能量不平衡现象，草原感热、潜热、土壤热通量之和小于净辐射，戈壁感热、潜热、土壤热通量之和大于净辐射，戈壁能量不平衡大于草原。导致山区草原和戈壁地表净辐射特征差异的主要因素是太阳辐射，导致山区草原和戈壁地表能量分量特征差异的主要因素是陆面植被和水分，根本因素是陆面水分。
相似文献
8.
中尺度天气现象对人类的生产生活有重要影响,中尺度数值预报模式是进行数值天气预报的主要工具。受模式分辨率和对天气现象物理机制认识不足的限制,许多复杂天气过程只能用参数化方案来隐式表达,对参数化方案进行研究有助于推动中尺度数值预报模式的模拟和预报效果的不断优化。在探讨国内外典型中尺度数值预报模式特性的基础上,综述了积云对流参数化方案、云微物理参数化方案、边界层参数化方案、陆面过程参数化方案和辐射传输过程参数化方案的研究进展,比较了代表性参数化方案的理论基础和应用场景,发现对独立或组合参数化方案效果的对比试验和改进试验是该领域主要的研究范式。认为参数化方案未来将走向深入探讨各种天气现象的影响因素和物理机制,多要素、多尺度和多方案耦合,更加重视对“灰色区域”的模拟,应用选择更加多元化,并与机器学习技术融合的发展模式。 相似文献
9.
针对黄土高原冬季陆面过程,使用兰州皋兰地区冬季观测资料和水热耦合模式(SHAW),进行了观测资料和数值模拟分析.结果表明:冬季,黄土高原地区入射的太阳辐射较小,降水稀少,空气干燥,12月、 1月及2月的月平均气温均低于0℃,净辐射很小,积/融雪期间,净辐射出现了负值.地表能量分配中感热潜热都很小,但感热相对潜热占主要地位,在无降水时期日平均潜热通量几乎都在10W·m-2以下.水热耦合模式对地表能量中短波净辐射和长波净辐射模拟较好,感热通量和潜热通量的模拟存在一定的偏差.模式对浅层30cm和40cm土壤温度及土壤湿度模拟较为成功,模拟值对观测值的相关性较高,相关系数均达到0.87以上.土壤温度模拟偏高,土壤湿度的模拟稍偏低. 相似文献
10.
11.
Domain configuration and several physical parameterization settings such as planetary boundary layer, cumulus convection, and ocean–atmosphere surface flux parameterizations can play significant roles in numerical prediction of tropical cyclones. The present study focuses to improve the prediction of the TC Gonu by investigating the sensitivity of simulations to mentioned configurations with the Advanced Hurricane WRF model. The experiments for domain design sensitivity with 27 km resolution has been shown moving the domains towards the east improve the results, due to better account for the large-scale process. The fixed and movable nests on a 9-km grid were considered separately within the coarse domain and their results showed that despite salient improvement in simulated intensity, an accuracy reduction in simulated track was observed. Increasing horizontal resolution to 3 km incredibly reduced the simulated intensity accuracy when compared to 27 km resolution. Thereafter, different initial conditions were experimented and the results have shown that the cyclone of 1000 hPa sea level pressure is the best simulation initial condition in predicting the track and intensity for cyclone Gonu. The sensitivity of simulations to ocean–atmosphere surface-flux parameterizations on a 9-km grid showed the combination of ‘Donelan scheme’ for momentum exchanges along with ‘Large and Pond scheme’ for heat and moisture exchanges provide the best prediction for cyclone Gonu intensity. The combination of YSU and MYJ PBL scheme with KF convection for prediction of track and the combination of YSU PBL scheme with KF convection for prediction of intensity are found to have better performance than the other combinations. These 22 sensitivity experiments also implicitly lead us to the conclusion that each particular forecast aspect of TC (e.g., track, intensity, etc.) will require its own special design. 相似文献
12.
Krishna K. Osuri U. C. Mohanty A. Routray Makarand A. Kulkarni M. Mohapatra 《Natural Hazards》2012,63(3):1337-1359
The convection and planetary boundary layer (PBL) processes play significant role in the genesis and intensification of tropical cyclones (TCs). Several convection and PBL parameterization schemes incorporate these processes in the numerical weather prediction models. Therefore, a systematic intercomparison of performance of parameterization schemes is essential to customize a model. In this context, six combinations of physical parameterization schemes (2 PBL Schemes, YSU and MYJ, and 3 convection schemes, KF, BM, and GD) of WRF-ARW model are employed to obtain the optimum combination for the prediction of TCs over North Indian Ocean. Five cyclones are studied for sensitivity experiments and the out-coming combination is tested on real-time prediction of TCs during 2008. The tracks are also compared with those provided by the operational centers like NCEP, ECMWF, UKMO, NCMRWF, and IMD. It is found that the combination of YSU PBL scheme with KF convection scheme (YKF) provides a better prediction of intensity, track, and rainfall consistently. The average RMSE of intensity (13?hPa in CSLP and 11?m?s?1 in 10-m wind), mean track, and landfall errors is found to be least with YKF combination. The equitable threat score (ETS) of YKF combination is more than 0.2 for the prediction of 24-h accumulated rainfall up to 125?mm. The vertical structural characteristics of cyclone inner core also recommend the YKF combination for Indian seas cyclones. In the real-time prediction of 2008 TCs, the 72-, 48-, and 24-h mean track errors are 172, 129, and 155?km and the mean landfall errors are 125, 73, and 66?km, respectively. Compared with the track of leading operational agencies, the WRF model is competing in 24?h (116?km error) and 72?h (166?km) but superior in 48-h (119?km) track forecast. 相似文献
13.
The Weather Research and Forecasting model was used to test the sensitivity of Typhoon Haiyan (2013) to the use of a cumulus parameterization scheme, specifically the revised Kain–Fritsch (rKF) scheme, at high horizontal resolutions with grid spacing varying from 9 to 2 km. The rKF scheme simulated the typhoon in best agreement with the observation compared with other schemes, but some fundamental drawbacks relating the rKF scheme, e.g., neglecting the momentum adjustment and being less applicable to high-resolution modeling than multi-scaled schemes, could influence the results and were discussed. Initial results showed that the typhoon track simulations benefited little from the use of the rKF scheme or a fine resolution, partially because of the similar large-scale steering flows induced by the analyzed boundary conditions used in each simulation. The influences of using the rKF scheme on typhoon intensity, size, structure, and precipitation were dependent on the grid spacing, and the most apparent changes occurred near a grid length of 4 km. At 9–4-km grid spacings, using the rKF scheme produced typhoons much stronger with more rainfall and surface latent heat flux than did using no cumulus parameterization scheme. At 3- or 2-km grid spacing, using the rKF scheme caused little changes on typhoon intensity, and the changes in precipitation and surface latent heat flux were relatively small. These results suggested that the grid spacing of 2 km for simulations using no cumulus parameterization scheme or the grid spacing of 4 km for simulations using the rKF scheme facilitated reproducing the observed Typhoon Haiyan. 相似文献
14.
Prediction of the track and intensity of tropical cyclones is one of the most challenging problems in numerical weather prediction (NWP). The chief objective of this study is to investigate the performance of different cumulus convection and planetary boundary layer (PBL) parameterization schemes in the simulation of tropical cyclones over the Bay of Bengal. For this purpose, two severe cyclonic storms are simulated with two PBL and four convection schemes using non-hydrostatic version of MM5 modeling system. Several important model simulated fields including sea level pressure, horizontal wind and precipitation are compared with the corresponding verification analysis/observation. The track of the cyclones in the simulation and analysis are compared with the best-fit track provided by India Meteorological Department (IMD). The Hong-Pan PBL scheme (as implemented in NCAR Medium Range Forecast (MRF) model) in combination with Grell (or Betts-Miller) cumulus convection scheme is found to perform better than the other combinations of schemes used in this study. Though it is expected that radiative processes may not have pronounced effect in short-range forecasts, an attempt is made to calibrate the model with respect to the two radiation parameterization schemes used in the study. And the results indicate that radiation parameterization has noticeable impact on the simulation of tropical cyclones. 相似文献
15.
Impact of physical parameterization schemes on numerical simulation of super cyclone Gonu 总被引：2，自引：0，他引：2
The objective of this study is to investigate in detail the sensitivity of cumulus, planetary boundary layer and explicit
cloud microphysics parameterization schemes on intensity and track forecast of super cyclone Gonu (2007) using the Pennsylvania
State University-National Center for Atmospheric Research Fifth-Generation Mesoscale Model (MM5). Three sets of sensitivity
experiments (totally 11 experiments) are conducted to examine the impact of each of the aforementioned parameterization schemes
on the storm’s track and intensity forecast. Convective parameterization schemes (CPS) include Grell (Gr), Betts–Miller (BM)
and updated Kain–Fritsch (KF2); planetary boundary layer (PBL) schemes include Burk–Thompson (BT), Eta Mellor–Yamada (MY)
and the Medium-Range Forecast (MRF); and cloud microphysics parameterization schemes (MPS) comprise Warm Rain (WR), Simple
Ice (SI), Mixed Phase (MP), Goddard Graupel (GG), Reisner Graupel (RG) and Schultz (Sc). The model configuration for CPS and
PBL experiments includes two nested domains (90- and 30-km resolution), and for MPS experiments includes three nested domains
(90-, 30- and 10-km grid resolution). It is found that the forecast track and intensity of the cyclone are most sensitive
to CPS compared to other physical parameterization schemes (i.e., PBL and MPS). The simulated cyclone with Gr scheme has the
least forecast track error, and KF2 scheme has highest intensity. From the results, influence of cumulus convection on steering
flow of the cyclone is evident. It appears that combined effect of midlatitude trough interaction, strength of the anticyclone
and intensity of the storm in each of these model forecasts are responsible for the differences in respective track forecast
of the cyclone. The PBL group of experiments has less influence on the track forecast of the cyclone compared to CPS. However,
we do note a considerable variation in intensity forecast due to variations in PBL schemes. The MY scheme produced reasonably
better forecast within the group with a sustained warm core and better surface wind fields. Finally, results from MPS set
of experiments demonstrate that explicit moisture schemes have profound impact on cyclone intensity and moderate impact on
cyclone track forecast. The storm produced from WR scheme is the most intensive in the group and closer to the observed strength.
The possible reason attributed for this intensification is the combined effect of reduction in cooling tendencies within the
storm core due to the absence of melting process and reduction of water loading in the model due to absence of frozen hydrometeors
in the WR scheme. We also note a good correlation between evolution of frozen condensate and storm intensification rate among
these experiments. It appears that the Sc scheme has some systematic bias and because of that we note a substantial reduction
in the rain water formation in the simulated storm when compared to others within the group. In general, it is noted that
all the sensitivity experiments have a tendency to unrealistically intensify the storm at the later part of the integration
phase. 相似文献
16.
Sensitivity of tropical cyclone intensification to boundary layer and convective processes 总被引：1，自引：1，他引：1
This study examines the role of the parameterization of convection, planetary boundary layer (PBL) and explicit moisture processes
on tropical cyclone intensification. A high-resolution mesoscale model, National Center for Atmospheric Research (NCAR) model MM5,
with two interactive nested domains at resolutions 90 km and 30 km was used to simulate the Orissa Super cyclone, the most
intense Indian cyclone of the past century. The initial fields and time-varying boundary variables and sea surface temperatures
were taken from the National Centers for Environmental Prediction (NCEP) (FNL) one-degree data set. Three categories of sensitivity
experiments were conducted to examine the various schemes of PBL, convection and explicit moisture processes. The results
show that the PBL processes play crucial roles in determining the intensity of the cyclone and that the scheme of Mellor-Yamada
(MY) produces the strongest cyclone. The combination of the parameterization schemes of MY for planetary boundary layer, Kain-Fritsch2
for convection and Mixed-Phase for explicit moisture produced the best simulation in terms of intensity and track. The simulated
cyclone produced a minimum sea level pressure of 930 hPa and a maximum wind of 65 m s−1 as well as all of the characteristics of a mature tropical cyclone with an eye and eye-wall along with a warm core structure.
The model-simulated precipitation intensity and distribution were in good agreement with the observations. The ensemble mean
of all 12 experiments produced reasonable intensity and the best track. 相似文献
17.
In the recent times, several advanced numerical models are utilized for the prediction of the intensity, track and landfall time of a cyclone. Still there are number of issues concerning their prediction and the limitation of numerical models in addressing those issues. The most pertinent question is how intensive a cyclone can become before it makes a landfall and where the cyclone moves under the ambient large-scale flow. In this paper, detailed study has been carried out using Weather Research Forecast model with two boundary schemes to address the above question by considering a recent tropical cyclone in Bay of Bengal region of North Indian Ocean. In addition, the impact of the surface drag effect on the low-level winds and the intensity of the cyclone are also studied. The result reveals that large differences are noted in the ocean surface fluxes between YSU and MYJ with MYJ producing relatively higher fluxes than YSU. It is found that the YSU scheme produced a better simulation for the THANE cyclone in terms of winds, pressure distribution and cloud fractions. Comparison with available observations indicated the characteristics of horizontal divergence, vorticity and vector track positions produced by YSU experiment are more realistic than with MYJ and other experiments. However, when the drag coefficient is changed as 0.5 or 2.0 from the default values, appreciable changes in the surface fluxes are not noticed. A maximum precipitation is reported in YSU as compared to the MYJ PBL scheme for the tropical cyclone THANE. 相似文献
18.
A. N. V. Satyanarayana U. C. Mohanty N. V. Sam Swati Basu V. N. Lykossov 《Journal of Earth System Science》2000,109(2):293-303
An attempt has been made to study the marine boundary layer characteristics over Bay of Bengal using BOBMEX (Bay of Bengal
and Monsoon Experiment) pilot experiment data sets, which was conducted between 23rd October and 12th November 1998 on board
ORV Sagar Kanya. A one-dimensional multilevel atmospheric boundary layer with TKE-ε closure scheme is employed to study the
marine boundary layer characteristics. In this study two synoptic situations are chosen: one represents an active convection
case and the other a suppressed convection. In the present article the marine boundary layer characteristics such as temporal
evolution of turbulent kinetic energy, height of the boundary layer and the airsea exchange processes such as sensible and
latent heat fluxes, drag coefficient for momentum are simulated during both active and suppressed convection. Marine boundary
layer height is estimated from the vertical profiles of potential temperature using the stability criterion. The model simulations
are compared with the available observations. 相似文献