3种再分析资料基本统计量比较

为了评估中国气象部门整理的资料的特色和应用价值,使用统计方法检验了中国资料和NCEP/NCAR、ECMWF再分析资料7月100 hPa、500 hPa位势高度场和1月海平面气压场的气候均值和年际方差的差异显著性,并比较了1月和7月北半球主要大气活动中心面积、强度指数的年际变化差异和相关程度。结果表明：1）ECMWF再分析资料7月100 hPa、500 hPa位势高度场的气候均值都显著小于中国资料,且其历年值分别小于1 660、588 dagpm,与中国资料相比不适合用于研究南亚高压、副热带高压;2）中国资料是由单层等压面图上直接读数得到的,更接近实际观测值,更适宜于诊断单个等压面上的气压系统;3）3种资料冬季蒙古高压、阿留申低压的年际变化一致性要好于夏季南亚高压、副热带高压。     

Ferrel环流之新解

由于Ferrel环流与中高纬度存在强盛的西风带这一现代大气观测手段所证实的事实相悖,对其是否存在,及其环流形态一直存在着很大的争议.本文利用1998～2003年的NCEP/NCAR（National Center for Environmental Prediction/National Center for Atmospheric Research, 美国国家环境预报中心/美国国家大气研究中心）再分析资料（10°×10°,经/纬度网格）,根据北半球夏季（6～8月）太平洋地区（0°～60°N;160°E～120°W）的三维风场的基本特征,分析了北半球夏季太平洋地区平均经圈环流,特别是Ferrel环流的特征,发现Ferrel环流具有与已往研究不同的性质,并在此基础上提出了Ferrel环流新的概念模型,与过去的经典的环流概念模型相比能较好地描述高低空环流的基本特征,同时在考虑地球自转效应下,能够完满地解释中高纬度西风带的维持.     

Statistical guidance on seasonal forecast of Korean dust days over South Korea in the springtime

This study aimed to develop the seasonal forecast models of Korean dust days over South Korea in the springtime. Forecast mode was a ternary forecast (below normal, normal, above normal) which was classified based on the mean and the standard deviation of Korean dust days for a period of 30 years (1981-2010). In this study, we used three kinds of monthly data: the Korean dust days observed in South Korea, the National Center for Environmental Prediction in National Center for Atmospheric Research (NCEP/NCAR) reanalysis data for meteorological factors over source regions of Asian dust, and the large-scale climate indices offered from the Climate Diagnostic Center and Climate Prediction Center in NOAA. Forecast guidance consisted of two components; ordinal logistic regression model to generate trinomial distributions, and conversion algorithm to generate ternary forecast by two thresholds. Forecast guidance was proposed for each month separately and its predictability was evaluated based on skill scores.     

NCEP/NCAR再分析资料在江西金华山风资源评估中的应用

利用NCEP/NCAR再分析资料对江西省金华山测风塔数据进行订正,计算平均风速、风速频率、风向频率、各方向风能、风功率密度及有效风能时数等各项风能参数。结果表明,风电场各个高度年平均风速为5.7—6.7 m/s,年平均风功率密度为214—366 W/m2,年有效风力时数百分率为76.3%—82.2%;风向和风能频率集中风向为SW—WSW风,有利于风机的布局和稳定运行,具备开发潜力。     

INTERANNUAL CHANGE OF EXTRA-TROPICAL METHANE INDUCED BY THE QUASI-BIENNIAL OSCILLATION OF TROPICAL WIND AND ITS FORMATION MECHANISM

Researchers have paid much attention to the influence of the tropical zonal wind quasi-biennial oscillation (QBO) on tropical methane, while generally ignoring the change in extra-tropical methane. The present study analyzed the interannual changes in the methane mixing ratio in extra-tropics of both the Southern Hemisphere (SH) and Northern Hemisphere (NH) using Halogen Occultation Experiment (HALOE) satellite data. The results show that interannual changes in extra-tropical methane exhibit QBO features in both hemispheres that are obviously different from those in the tropics. The extra-tropical methane QBO perturbations usually occur in two layers and are longitudinally asymmetrical about the equator. The amplitude of the methane QBO disturbance in the extra-tropics is smaller than that in the tropics from 10 to 1 hPa but much larger in the layer from 30 to 10 hPa. The interannual relative changes in the methane mixing ratio are similar in both the NH extra-tropics and the tropics in the middle and upper stratosphere. Using the National Center for Atmospheric Research two-dimensional, interactive chemical dynamical radiative model (SOCRATES), simulation was conducted to investigate the mechanism of the extra-tropical methane QBO. The results indicate that the tropical stratospheric zonal wind QBO results in the QBO of the induced residual circulation. It is the transport of methane by the induced residual circulation that causes the methane QBO in the extra-tropics. The induced residual circulations in the middle and upper stratosphere are not always longitudinally symmetrical about the equator, resulting in different distribution of the methane QBO in the SH and NH extra-tropics.     

NCEP/NCAR FNL资料在强对流天气中可信度的初步分析

基于NCEP/NCAR FNL(1°×1°)资料已成为研究强对流天气触发机制、演变等特征的基础资料,有必要分析该资料在强对流天气中的可信度。利用山西岢岚地区2005-2014年共414个强对流天气日的NCEP/NCAR FNL(1°×1°)资料与探空资料,采用偏差、绝对差、相关系数和偏差区间占有率的统计方法,对常用的常规气象要素、诊断量进行统计分析,结果表明:1)在常规气象要素中,温度的可信度最高,而相对湿度的可信度最低,纬向风和经向风的可信度相差不大,均略低于温度的可信度。2)总体上,诊断量的可信度不如常规气象要素的,其中,K指数偏差值在[-5,5]内占总数的57. 25%,沙氏指数SI偏差值在[-3,3]内占总数的75. 12%,对流有效位能CAPE偏差值在[-100,100]内占总数的78. 26%,风暴强度指数SSI偏差值在[-10,10]内占总数的62. 08%。因此,虽然NCEP/NCAR FNL资料中的常规气象要素可信度较高,但与强对流天气存在紧密联系的诊断量却存在较大偏差和绝对差,其可信度较低,若以其进行强对流天气机理的诊断分析,需注意该资料的这种特征。     

0 Short-term Climate Characteristics at Ny-Alesund over the Arctic Tundra Area

Based on the Germany Koldwey Station＇s 1994-2003 conventional observation hourly data, this paper conducts a statistical analysis on the short-term climate characteristics for an arctic tundra region （Ny-Alesund island） where our first arctic expedition station （Huanghe Station） was located. Affected by the North Atlantic warming current, this area has a humid temperate climate, and the air temperature at Ny-Alesund rose above 0 ℃ even during deep winter season during our research period. The wind speed in this area was low and appeared most at southeast direction. We find that the temperature at Ny-Alesund rose in the faster rate （0.68℃/10 a） than those at the whole Arctic area. Compared with the floating ices where our expedition conducted in the Arctic, Ny-Alesund was warmer and more humid and had lower wind speed. Comparison Of the near surface air temperature derived by NCEP/NCAR reanalysis to the conventional measurements conducted at the Koldwey site in Ny-Alesund area shows a good agreement for winter season and a slgnificant difference for summer season.     

Preliminary Results from Numerical Experiments of a Heavy Rain Process with PENN STATE / NCAR MM5

PENN STATE/NCAR MM5 is used to simulate precipitation of the heavy rain process during 12-13 July 1994.The effects of different PBL parameterizations,resolvable scale moisture schemes and cumulus parameterization on the process rainfall simulation are investigated.By comparing the results of hydrostatic and nor.hydrostatic experiments,the nonhydrostatic impact upon precipitation is also examined.It is found in this study thai PENN STATE/NCAR MM5 has advantage not only in theory but also in simulating results with real data.In MM5.however,the selection of physical processes,especially water-cycle process,is very important and crucial to precipitation forecast of the case.It is concluded that the model with Grell (1993) scheme for convection and condensation method for resolvable scale precipitation captured the rainstorm during 12-13 July 1994 in Beijing area more successfully     

Reliability of NCEP/NCAR reanalysis data in the Himalayas/Tibetan Plateau

Due to the difficult logistics in the extreme high elevation regions over the Himala-yas and Tibetan Plateau, the observational meteorological data are very few. In 2003, an automatic weather station was deployed at the northeastern saddle of Mt. Nyainqentanglha (NQ) (30°24′44.3″ N, 90°34′13.1″ E, 5850 m a.s.l.), the southern Tibetan Plateau. In 2005, another station was operated at the East Rongbuk Glacier Col (28°01′0.95″ N, 86°57′48.4″ E, 6523 m a.s.l.) of Mt. Qomolangma. Observational data from the two sites have been com-pared with the reanalysis data from the National Centers for Environmental Predic-tion/National Center for Atmospheric Research (NCEP/NCAR), reliability of NCEP/NCAR reanalysis data has been investigated in the Himalayas/Tibetan Plateau region. The reanaly-sis data can capture much of the synoptic-scale variability in temperature and pressure, al-though the reanalysis values are systematically lower than the observation. Furthermore, most of the variability magnitude is, to some degree, underestimated. In addition, the weather event extracted from the NCEP/NCAR reanalyzed pressure and temperature prominently appears one day ahead of the observational data on Mt. Qomolangma, while on Mt. NQ it occurs basically in the same day.     

A land surface soil moisture data assimilation framework in consideration of the model subgrid-scale heterogeneity and soil water thawing and freezing

The Ensemble Kalman Filter (EnKF) is well known and widely used in land data assimilation for its high precision and simple operation. The land surface models used as the forecast operator in a land data assimilation system are usually designed to consider the model subgrid-heterogeneity and soil water thawing and freezing. To neglect their effects could lead to some errors in soil moisture assimilation. The dual EnKF method is employed in soil moisture data assimilation to build a soil moisture data as- similation framework based on the NCAR Community Land Model version 2.0 (CLM 2.0) in considera- tion of the effects of the model subgrid-heterogeneity and soil water thawing and freezing: Liquid volumetric soil moisture content in a given fraction is assimilated through the state filter process, while solid volumetric soil moisture content in the same fraction and solid/liquid volumetric soil moisture in the other fractions are optimized by the parameter filter. Preliminary experiments show that this dual EnKF-based assimilation framework can assimilate soil moisture more effectively and precisely than the usual EnKF-based assimilation framework without considering the model subgrid-scale heteroge- neity and soil water thawing and freezing. With the improvement of soil moisture simulation, the soil temperature-simulated precision can be also improved to some extent.