青藏高原绕流和爬流的气候学特征

本文利用1951～2008 年NCEP/NCAR 再分析资料, 通过绕流和爬流方程, 将高原附近表层风场分解为绕流分量和爬流分量两部分, 计算出了实际大气中的绕流和爬流运动的强度, 分别探讨它们的气候态特征。结果表明:高原主体年平均绕流场围绕高原地形并在高原西南部(32°N, 75°E)附近产生分支, 分支点下游的高原主体南部和北部分别表现为气旋性和反气旋性流型;年平均的爬流分量场沿喜马拉雅山脉辐散, 高原主体为偏南上坡风, 东北部为偏北上坡风。夏季绕流场为气旋式流型, 中心位于高原中部(35°N, 90°E)附近;秋季绕流场围绕高原地形边缘基本为一个反气旋流型。夏季, 高原主体偏南风爬流与偏北风爬流在高原南北中线附近辐合, 除夏季外, 沿高原南侧喜马拉雅山脉为爬流辐散区。高原主体和高原附近的关键区内, 绕流和爬流存在不同的季节循环特征。从绕流和爬流分解公式出发, 本文详细探讨了表面流场的绕流和爬流运动各分量对地形高度及地形梯度的依赖性:经向绕流与纬向绕流比值、经向爬流与纬向爬流分量比值为仅依赖于地形高度的定常值。年平均的绕流及爬流矢量强度随着所处地形高度的升高而逐步增强;从区域分布的角度而言, 高原附近绕流强于爬流的区域范围较广, 绕流占主导地位。地形纯动力强迫产生的爬流运动与观测资料中高原附近的垂直运动具有很高的位置对应关系, 但冬季和夏季均存在强度上的差异。     

合浦县暴雨气候特征及成因分析

利用合浦县台站1971—2010年40a暴雨观测资料,分析了暴雨日数的年际变化、年代际变化和暴雨季节分布特征,分析得出,合浦县暴雨日数呈上升趋势,且上升幅度明显;暴雨主要集中分布在5-9月,以7月份出现暴雨、大暴雨及特大暴雨日数最多。合浦县特殊的地理位置和地形特点有利于暴雨天气的形成和发展,影响暴雨的最主要天气系统为锋面、高空槽、切变线、急流、热带气旋等。     

Fog Detection over China’s Adjacent Sea Area by using the MTSAT Geostationary Satellite Data

A fog threshold method for the detection of sea fog from Multi-function Transport Satellite (MTSAT1R) infrared (IR) channel data is presented.This method uses principle component analysis (PCA),texture analysis,and threshold detection to extract sea fog information.A heavy sea fog episode that occurred over China’s adjacent sea area during 7 8 April 2008 was detected,indicating that the fog threshold method can effectively detect sea fog areas nearly 24 hours a day.MTSAT-1R data from March 2006,June 2007,and April 2008 were processed using the fog threshold method,and sea fog coverage information was compared with the meteorological observation report data from ships.The hit rate,miss rate,and false alarm rate of sea fog detection were 66.1%,27.3%,and 33.9%,respectively.The results show that the fog threshold method can detect the formation,evolution,and dissipation of sea fog events over period of time and that the method has superior temporal and spatial resolution relative to conventional ship observations.In addition,through MTSAT-1R data processing and a statistical analysis of sea fog coverage information for the period from 2006 to 2009,the monthly mean sea fog day frequency,spatial distribution and seasonal variation characteristics of sea fog over China’s adjacent sea area were obtained.     

Seasonal Prediction of the Global Precipitation Annual Modes with the Grid-Point Atmospheric Model of IAP LASG

A right annual cycle is of critical importance for a model to improve its seasonal prediction skill. This work assesses the performance of the Grid-point Atmospheric Model of IAP LASG （GAMIL） in retrospective prediction of the global precipitation annual modes for the 1980 2004 period. The annual modes are gauged by a three-parameter metrics： the long-term annual mean and two major modes of annual cycle （AC）, namely, a solstitial mode and an equinoctial asymmetric mode. The results demonstrate that the GAMIL one-month lead prediction is basically able to capture the major patterns of the long-term annual mean as well as the first AC mode （the solstitial monsoon mode）. The GAMIL has deficiencies in reproducing the second AC mode （the equinoctial asymmetric mode）. The magnitude of the GAMIL prediction tends to be greater than the observed precipitation, especially in the sea areas including the Arabian Sea, the Bay of Bengal （BOB）, and the western North Pacific （WNP）. These biases may be due to underestimation of the convective activity predicted in the tropics, especially over the western Pacific warm pool （WPWP） and its neighboring areas. It is suggested that a more accurate parameterization of convection in the tropics, especially in the Maritime Continent, the WPWP and its neighboring areas, may be critical for reproducing the more realistic annual modes, since the enhancement of convective activity over the WPWP and its vicinity can induce suppressed convection over the WNP, the BOB, and the South Indian Ocean where the GAMIL produces falsely vigorous convections. More efforts are needed to improve the simulation not only in monsoon seasons but also in transitional seasons when the second AC mode takes place. Selection of the one-tier or coupled atmosphere-ocean system may also reduce the systematic error of the GAMIL prediction. These results offer some references for improvement of the GAMIL seasonal prediction skill.     

最优子集回归方法在季节气候预测中的应用

利用DEMETER计划多个模式的模拟资料研究1959～2001年多模式集合预报的季节降水在中国区域的表现, 并结合最优子集回归(OSR)方法对中国区域的季节降水进行降尺度预报, 比较其与多模式集合预报的技巧。研究表明: 多个单模式在中国区域对季节降水的模拟性能普遍较差, 多元线性回归(MLR)集合的预报技巧不如集合平均(EM)。利用OSR方法进行降尺度预报可以极大改善中国区域季节降水的预报技巧。夏季, 降水距平相关系数(ACC)在长江以南、西藏以及内蒙古中部等地区提高很显著, ACC在中国区域的平均达到0.29, 明显高于多模式集合平均与多元线性回归集合。冬季, OSR方法可以改善多模式集合在中国北方地区较低的预报技巧。概率Brier技巧评分(BSS)也表明了OSR方法对季节降水预报的改善。需要说明的是, 虽然OSR方法在中国区域能明显提高季节降水的预报技巧, 但是其选取的预报因子与中国区域季节降水的物理机制问题仍有待于进一步的研究。     

用降水量和无雨日数判别广州季节性干旱的对比分析

利用广州市1951-2006年实测日降水量资料,通过统计方法对使用降水量和无雨日数判别广州季节性干旱情况作对比分析。结果发现,各季降水量和无雨日数序列之间都存在显著的反相变化关系,以冬季最显著、夏季最差;对日雨量较大的季节如春、夏季,用无雨日数判别季节干旱现象要比降水量更合适些,而对其它季节则2种指标无明显差别。     

Development Processes of the Tropical Pacific Meridional Mode

Mechanisms for the spatio-temporal development of the Tropical Pacific Meridional Mode(TPMM) are investigated using a coupled ocean-atmosphere model and observations.In both observations and the model,this meridional mode displays decadal variations and is most pronounced in spring and early summer.The model simulation suggests that once SST anomalies in the subtropical northeastern Pacific are initiated,say by northeasterly trade wind variability,perturbations evolve into a merdional dipole in 2-3 months.A...     

SEASONAL PERSISTENCE OF THE WEST PACIFIC SUBTROPICAL HIGH AND ITS RELATIONSHIP WITH THE SURFACE HEAT FLUX ANOMALY

This paper investigates the interannual variation of the West Pacific Subtropical High (WPSH) intensity based on the data compiled by the Chinese National Climate Center. Monthly reanalysis data from National Centers for Environmental Prediction and National Center for Atmospheric Research (NCEP/NCAR) are also used to study the lead-lag relationship between WPSH intensity and surface heat flux anomalies. The three major findings are as follows: First, WPSH intensity presents good seasonal persistence, especially from winter to the ensuing summer. Persistence is more significant after 1977, especially from spring to summer, and from summer to autumn; persistence of anticyclonic anomalies are significantly better than cyclonic anomalies. Second, surface heat flux tends to present opposite anomalous patterns between the strong and weak years of the WPSH intensity, which is especially valid at the latent heat flux over the ocean. Simultaneous correlations between surface heat flux and WPSH intensity in each of the seasons are marked by similar key areas. Finally, surface heat flux from the preceding winter of a strong summer WPSH is quite similar to strong spring WPSH, but the positive anomalies over the northwest Pacific and south of Japan are notably stronger. The situations in the weak years are similar except for those over the northwest Pacific: winter surface heat flux shows negative anomalies for a weak spring WPSH, but positive anomalies for a weak summer WPSH. It is suggested that surface heat flux in the previous winter plays an important role in maintaining the WPSH intensity in the ensuing spring and summer.     

一个全球耦合模式的ENSO后报试验

A group of seasonal hindcast experiments are conducted using a coupled model known as the Flexible Global Ocean-Atmosphere-Land System Modelgamil1.11 (FGOALS-g1.11) developed at the State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG).Two steps are included in our ElNi o-Southern Oscillation (ENSO) hindcast experiments.The first step is to integrate the coupled GCM with the Sea Surface Temperature (SST) strongly nudged towards the observation from 1971 to 2006.The second step is to remove the SST nudging term.The authors carried out a one-year hindcast by adopting the initial values from SST nudging experiments from the first step on January 1st,April 1st,July 1st,and October 1st from 1982 to 2005.In the SST nudging experiment,the model can reproduce the observed equatorial thermocline anomalies and zonal wind stress anomalies in the Pacific,which demonstrates that the SST nudging approach can provide realistic atmospheric and oceanic initial conditions for seasonal prediction experiments.The model also demonstrates a high Anomaly Correlation Coefficient (ACC) score for SST in most of the tropical Pacific,Atlantic Ocean,and some Indian Ocean regions with a 3-month lead.Compared with the persistence ACC score,this model shows much higher ACC scores for the Ni o-3.4 index for a 9-month lead.