GNSS掩星中大气水汽的非线性反演

研究利用无线电掩星探测数据反演大气水汽参数,文中使用一维非线性方法,反演对流层水汽压廓线.首先,定义了一维目标函数,并以几何光学假设为前提,反演出电波弯曲角;将电波弯曲角作为掩星探测量,大气模式输出的温、湿参量作为初始场,代入目标函数,对目标函数求最优反演出水汽压廓线.文中给出了部分反演结果,经讨论分析认为:非线性方法反演水汽压对初始场的精度依赖较小,能够同时反演出大气温度\水汽压廓线及相应的误差分析,对数值天气预报的应用及数据同化研究具有重要意义.     

地基GNSS遥感探测气象应用

全球导航卫星系统（GNSS）给定位、导航和授时服务带来了革命性变化,同时其L波段（1160～1610MHz）微波信号可用于全球覆盖、高时间分辨率的大气、海洋和陆表参数遥感探测。基于信号类型,GNSS遥感可分为折射信号遥感和反射信号遥感两大类;基于探测平台,GNSS遥感可分为地基GNSS遥感、空基GNSS遥感和天基GNSS遥感三大类。随着我国自主建设的北斗卫星导航系统全面建成,GNSS遥感将迎来新的发展机遇和挑战。本文回顾近20年地基GNSS遥感探测在气象领域的应用进展,展望其在气象领域下一步可能的应用。     

第三代再分析水汽资料的气候态比较

基于再分析资料,分析和理解水汽的大时空尺度变化规律,是气候变化研究中的重要环节.但不同再分析资料间水汽变量的差异,会导致相关气候变化研究的不确定性.因此,本文对比研究了三种当前最新的第3代再分析资料,即ERA-Interim,MERRA和CFSR的多年(2000~2012年)全球大气柱水汽含量气候态分布的异同并分析了可能原因.研究结果表明,三种再分析水汽资料尽管在描述全球水汽的主要变化模态方面有很高的相似性,但在全球分布、时间序列及变化趋势等方面仍存在一定的差异.其中,洋面上三种数据的年际变化较为相似,而差异主要集中在赤道两侧辐合带和暖云区,这可能是源于不同模式暖云模拟和对流参数化方案的不同,以及水汽对卫星遥感数据同化的敏感性差异.总体而言,三者与卫星观测均较为一致.而陆地上的差异主要集中在非洲中部、南美洲亚马逊流域以及一些高原地区,其主要原因是由于模式对复杂下垫面处理的不同,以及相应区域探空等地基观测数据的缺乏.并且,三者都较探空实测数据明显偏低.本文研究结果将有助于理解再分析资料间的气候态差异特征,可为气候研究时水汽数据的选取提供参考依据.     

彰显气象实力:“风云三号”再发一星

正9月23日11时7分,"风云三号"03星在太原卫星发射中心发射成功,由此,我国全球观测数据的时间分辨率从12小时提高到6小时。风云三号是我国第二代极轨气象卫星,目标是实现全球大气和地球物理要素的全天候、多光谱和三维观测。风云三号卫星观测资料和产品的主要用户包括气象、海洋、农业、林业、环保等部门,广泛应用于天气预报、气候预测、灾害监测、环境监测、军     

COSMIC大气掩星与SABER/TIMED探测温度数据比较

本文利用2009年1月-2011年12月共3年的COSMIC大气掩星观测数据与SABER/TIMED探测数据开展15~60 km大气温度数据的比较分析研究,计算COSMIC与SABER/TIMED探测温度的绝对偏差(T_SABER-T_COSMIC),并统计其平均温度偏差和标准偏差,分析温度偏差随高度、纬度和季节的分布特征,为COSMIC大气掩星与SABER/TIMED探测数据的应用提供更多的参考依据.结果表明:COSMIC与SABER/TIMED数据所反映的温度随高度的变化特征是一致的,数据的大体趋势吻合较好.全球范围的平均温度偏差在38 km左右接近于0 K,在38 km以上,平均温度偏差表现为负的系统性偏差,且随着高度逐渐增大,在38 km以下,平均温度偏差表现为正的系统性偏差,在23 km左右存在极大值,约为2.7 K.COSMIC与SABER/TIMED温度偏差的分布存在着随纬度和季节的变化特征,35 km以下,平均温度偏差在高纬地区和冬季较小,低纬地区和夏季较大,35 km以上,平均温度偏差在高纬地区和冬季较大,低纬地区和夏季较小.温度偏差的标准偏差在低纬地区和夏季较小,高纬地区和冬季较大.纬圈平均的温度偏差在南北半球的分布基本呈对称结构.     

近地空间环境的GNSS无线电掩星探测技术

从GPS/MET计划开始,基于GNSS的无线电掩星技术已成为一种强大的近地空间环境探测手段.截至到目前,已经有20多颗发射的低轨道卫星带GPS掩星接收机,其中COSMIC是首个专门用于掩星探测的卫星星座.这些掩星数据被广泛应用于气象预报、气候与全球变化研究、及空间天气监测和电离层研究.由于COSMIC的成功,相关合作单位目前正积极推动COSMIC-2计划,该计划将总共有12颗卫星,于2016年与2019年各发射6颗.COSMIC-2将携带一个高级的GNSS掩星接收机,它将接受GPS与GLONASS信号,并具备接受其他可获得信号源的能力(如中国北斗定位信号),其每日观测的掩星数量将是COSMIC的4~6倍.同时COSMIC-2还将携带两个空间天气载荷,加强空间天气的监测能力.本文以COSMIC与COSMIC-2计划为主线,对掩星的发展历史、技术要点进行了简单介绍,并简要综述了COSMIC取得的部分科学成果,同时对未来包括技术发展和众多的掩星观测进行了展望.     

大气掩星反演误差特性初步分析

GPS大气掩星探测技术可以获得全球大气折射率、气压、密度、温度和水汽压等气象参数，该技术基本原理是基于几何光学近似的Abel积分反演.地球扁率、电离层传播时间延迟、大气大尺度水平梯度、多路径传播现象等因素在某些高度范围影响大气反演的精度.本文采用模拟的方法，分析其中地球扁率及电离层对反演结果的影响，并讨论局部圆弧修正及电离层修正的效果.利用CHAMP掩星实测轨道数据和有关电离层和大气经验模式、采用三维射线追踪方法模拟计算几种情形下的GPS掩星观测附加相位数据，对模拟数据进行反演，将反演气象参量剖面与模拟时给定模式剖面进行比较，得到了0～60 km高度范围内的反演误差.误差统计分析结果表明，局部圆弧中心的修正以及电离层修正，对于高精度的GPS掩星反演是非常重要的；电离层修正残差仍是制约30～60 km高度范围内反演精度的重要因素，进一步完善和优化大气掩星反演需要发展新的电离层修正算法.     

大气温度反馈的机理及其对全球增暖的贡献

大气和地表之间热辐射交换引起的地气温度耦合(即大气温度反馈)是影响地表能量收支平衡的重要因子.文章旨在阐述大气温度反馈机理,讨论影响其强度和空间分布的主要因子;并以全球变暖为例,论述大气温度反馈如何与外强迫和气候反馈过程耦合最终对全球增暖产生贡献.基于ERA-Interim再分析资料,利用地表反馈响应分析方法,计算大气温度反馈核,以此来阐述大气温度反馈的物理机制及其强度的空间分布与气候态温度、水汽和云水含量空间分布的关系,以及全球增暖加速期间大气温度反馈对全球平均表面温度增加的贡献.分析表明大气温度反馈过程主要通过与气候系统外强迫和内部过程的耦合作用,将各独立过程引起的地表能量收支异常信号放大.研究结果表明大气温度反馈显著放大了CO_2浓度升高、冰雪融化、水汽含量增加和海洋热量吸收减缓引起的地表增暖,削弱了云量增加引起的地表降温效应.同时,也放大了地表潜热通量增加造成的地表冷却效应.从全球平均结果来看,全球快速变暖前后,尽管外强迫和气候系统内部过程引起的全球平均总地面直接能量通量扰动为负,但大气温度反馈造成的全球平均总地面能量通量扰动却为正,且后者幅度远大于前者,这导致全球平均总地面净能量通量扰动正异常.由此可见,大气温度反馈对全球变暖起到了至关重要的作用.     

应用地基GPS遥感倾斜路径方向大气水汽总量

应用地基GPS沿倾斜路径方向遥测大气水汽总量,是获得测站周围水汽三维空间分布信息(水汽层析)的基础.本文介绍了地基GPS沿倾斜路径方向遥感大气水汽总量的原理和方法;首先用湿梯度、后处理残差联合计算接收机上空不同方位上大气水汽各向异性成分,在此基础上重构倾斜路径水汽总量.为验证GPS观测结果精度,用微波辐射计（WVR）与GPS一起进行了联合观测,不同观测地点和时间的对比结果表明,二者root mean square (RMS)误差小于4mm,证明应用此种方法地基GPS可较精确地反演出倾斜路径方向大气水汽总量,而且这种反演方法适合于近实时大气遥感探测.地基GPS测量具有全天候可连续观测等优点,可以弥补常规观测的不足,为气候研究提供高精度且连续的水汽数据资料;组网观测可以为数值天气预报提供好的初始场,提高模式预报精度.     

南极洲威尔克斯地大陆边缘的海上地球物理资料

一、引言 1984年,美国地质调查局在S. P. Lee海洋调查船(图1和图2)上,做了南极洲威尔克斯地(Wilkes Land)大陆边缘的地球物理测量,这次测量得到了大约1800公里长的24道多道地震反射资料,400公里长的单道地震反射资料和其它地球物理剖面资料,包括重力、磁场梯度、3.5和12kHz高分辨率回声探测和声纳浮标折射剖面,重力和回声探测资料,是在测     

The Assimilation of GPS Radio Occultation Data and its Impact on Rainfall Prediction along the West Coast of India during Monsoon 2002

In this study, the Weather Research and Forecasting (WRF-2.0.3.1) model with three-dimensional variational data assimilation (3DVAR) was utilized to study a heavy rainfall event along the west coast of India with and without the assimilation of GPS occultation refractivity soundings in the monsoon period of 2002. The WRF model is a next-generation mesoscale numerical weather prediction system designed to serve both operational forecasting and atmospheric research communities. The Global Positioning System (GPS) radio occultation (RO) refractivity data, processed by UCAR, were obtained from the CHAMP and SAC-C missions. This study investigates the impact of thirteen GPS occultation refractivity soundings only, as assimilated into the WRF model with 3DVAR, on the rainfall prediction over the western coastal mountain of India. The model simulation, with the finest resolution of 10 km, was in good agreement with rainfall observations, up to 72-h forecast. There are some subtle but important differences in predicted rainfalls between the control run CN (without the assimilation of refractivity soundings) and G13 (with the assimilation of thirteen GPS RO soundings). In general, the assimilation run G13 gives a better prediction in terms of both rainfall locations and amounts at later times. The moisture increments were analyzed at the initial and forecast times to assess the impact of GPS RO data assimilation. The results indicate that remote soundings in the forcing region could have significant impacts on distant downstream regions. It is anticipated, based on this study, that considerably occultation soundings available from the six-satellite constellation of FORMOSAT-3/COSMIC would have even more significant impacts on weather prediction in this region.     

Meteorological fields from remote infrared sensing

Modern numerical weather prediction techniques require global observations of the atmospheric state and structure parameters. The current meteorological observing system, which is based on radiosonde balloon observations, has extensive gaps. Remote sensing of the Earth atmosphere emission spectrum from satellites can fill these gaps. The physical basis for extracting information on meteorological fields from such remote observations is explained. The problem reduces to that of solving a linear Fredholm equation of the first kind in the presence of noisy data. There is no unique solution to such a problem. The mathematical techniques-inversion techniques-that are currently used to solve the problem are reviewed. Examples are given of meteorological fields obtained from remote infrared sensing from satellites. Results indicate that meteorological parameters such as temperature and geopotential height of constant pressure surfaces can be measured-in conditions of clear skies-to accuracies approaching that of the radiosonde system. Other meterological variables, e.g., water vapor and ozone, can be determined to a lesser degree of accuracy. Applications of the remotely sensed fields are described. Problem areas and suggested solutions are discussed.     

Initialisation of Land Surface Variables for Numerical Weather Prediction

Land surface processes and their initialisation are of crucial importance for Numerical Weather Prediction (NWP). Current land data assimilation systems used to initialise NWP models include snow depth analysis, soil moisture analysis, soil temperature and snow temperature analysis. This paper gives a review of different approaches used in NWP to initialise land surface variables. It discusses the observation availability and quality, and it addresses the combined use of conventional observations and satellite data. Based on results from the European Centre for Medium-Range Weather Forecasts (ECMWF), results from different soil moisture and snow depth data assimilation schemes are shown. Both surface fields and low-level atmospheric variables are highly sensitive to the soil moisture and snow initialisation methods. Recent developments of ECMWF in soil moisture and snow data assimilation improved surface and atmospheric forecast performance.     

COSMIC数据验证AMSU平流层低层观测的初步分析结果

基于Global Positioning System (GPS)掩星数据在平流层具有较高准确性、稳定性的优势,本文尝试用新一代GPS掩星观测——the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC)资料验证不同卫星平台上先进的微波探测仪（AMSU）的平流层观测结果.通过COSMIC大气温度廓线与AMSU辐射传输模式结合,得到模拟亮温,然后与AMSU平流层观测进行匹配比较.分析表明GPS掩星数据能够作为一个相对独立的参量检验NOAA15、16、18卫星平台内部的偏差.通过一年数据的比较验证,初步显示不同卫星平台的AMSU观测亮温在平流层低层都偏低,并且NOAA18平台的亮温偏低程度明显大于NOAA15、16.AMSU亮温偏差在极地冬季较为显著,尤其南极地区NOAA18的偏差幅度达到1.8 K.结合24小时内AMSU观测亮温偏差变化及其样本分布特征,可以看到明显的太阳辐射差异可能是导致AMSU观测亮温在极地偏差显著的主要原因.     

What are the influences of solar eclipses on the equatorial electrojet?

The response of the equatorial electrojet (EEJ) to solar eclipses is studied in this work. We analyzed the magnetic field measurements obtained by three satellites, CHAMP, SAC-C and Ørsted and correlated them with ground-based observations during the eclipses. The observations show a local weakening of the EEJ after the shadow passed the dip equator. The size of the effect is, however, comparable with the day-to-day variability. In four out of five events we found the formation of a counter electrojet in the wake of the eclipse. We propose that the depression of the EEJ during an eclipse favors the formation of a counter electrojet.     

Solar forcing on antarctic terrestrial climate: A study by means of GPS observations

With a view to difficulties with explaining the physical mechanism of solar forcing on the Earth’s climate, we applied a new approach of determining and quantifying an influence of solar-related events on water vapor variability by correlating the total electron content (TEC) and precipitable water vapor (PWV), both derived from ground-based GPS observations. In this study, ionospheric TEC and atmospheric PWV values are employed as solar activity and terrestrial climate parameters, respectively. Three-year GPS data at five stations in Antarctica are analyzed on a daily mean basis. Results show significant correlation between TEC and PWV differences during storms-affected days. The high correlation between the daily mean values of TEC and PWV, both of which follow the seasonal signals and subsisting downward trend, suggests an influence of solar activity on climate variability in Antarctica. These quantities are determined by changes of the upper-atmosphere level, which varies in conformity with the zenith angle of the Sun.     

Physically Consistent Responses of the Global Atmospheric Hydrological Cycle in Models and Observations

Robust and physically understandable responses of the global atmospheric water cycle to a warming climate are presented. By considering interannual responses to changes in surface temperature (T), observations and AMIP5 simulations agree on an increase in column integrated water vapor at the rate 7 %/K (in line with the Clausius–Clapeyron equation) and of precipitation at the rate 2–3 %/K (in line with energetic constraints). Using simple and complex climate models, we demonstrate that radiative forcing by greenhouse gases is currently suppressing global precipitation (P) at ～?0.15 %/decade. Along with natural variability, this can explain why observed trends in global P over the period 1988?2008 are close to zero. Regional responses in the global water cycle are strongly constrained by changes in moisture fluxes. Model simulations show an increased moisture flux into the tropical wet region at 900 hPa and an enhanced outflow (of smaller magnitude) at around 600 hPa with warming. Moisture transport explains an increase in P in the wet tropical regions and small or negative changes in the dry regions of the subtropics in CMIP5 simulations of a warming climate. For AMIP5 simulations and satellite observations, the heaviest 5-day rainfall totals increase in intensity at ～15 %/K over the ocean with reductions at all percentiles over land. The climate change response in CMIP5 simulations shows consistent increases in P over ocean and land for the highest intensities, close to the Clausius?Clapeyron scaling of 7 %/K, while P declines for the lowest percentiles, indicating that interannual variability over land may not be a good proxy for climate change. The local changes in precipitation and its extremes are highly dependent upon small shifts in the large-scale atmospheric circulation and regional feedbacks.     

A climatological comparison of column-integrated water vapor for the third-generation reanalysis datasets

The atmospheric reanalysis datasets have been widely used to understand the variability of atmospheric water vapor on various temporal and spatial scales for climate change research. The difference among a variety of reanalysis datasets, however, causes the uncertainty of corresponding results. In this study, the climatology of atmospheric column-integrated water vapor for the period from 2000 to 2012 was compared among three latest third-generation atmospheric reanalyses including European Centre for Medium-range Weather Forecasts Interim Re-Analysis (ERA-Interim), Modern-Era Retrospective Analysis for Research and Applications (MERRA), and Climate Forecast System Reanalysis (CFSR), while possible explanation on the difference between them was given. The results show that there are significant differences among three datasets in the multi-year global distribution, variation of interannual cycle, long-term trend and so on, though high similarity for principal mode describing the variability of water vapor. Over oceans, the characteristics of long-term CWV variability are similar, whereas the main discrepancy among three datasets is located around the equatorial regions of the Intertropical Convergence Zone, the South Pacific Convergence Zone and warm cloud area, which is related with the difference between reanalysis models for the scheme of convective parameterization, the treatment of warm clouds, and the assimilation of satellite-based observations. Moreover, these CWV products are fairly consistent with observations (satellite-based retrievals) for oceans. On the other hand, there are systematic underestimations about 2.5 kg/m² over lands for all three CWV datasets, compared with radiosonde observations. The difference between models to solve land-atmosphere interaction in complex environment, as well as the paucity in radiosonde observations, leads to significant water vapor gaps in the Amazon Basin of South America, central parts of Africa and some mountainous regions. These results would help better understand the climatology difference among various reanalysis datasets better, and more properly choose water vapor datasets for different research requirements.     

利用GRACE卫星精密微波测距确定星间平均电子密度

本文介绍如何利用GRACE两颗卫星之间K波段双频微波精密测距和轨道数据,得到星间平均电子密度.发展了一种将连续轨道电子密度极小对齐到零的方法,以消除整周模糊度;借助CHAMP卫星朗缪探针测量得到的轨道电子密度基值以及GPS掩星数据计算的等离子体垂直梯度标高,进一步修正了GRACE星间电子密度所固有的偏差;从而得到大约500 km高度上长达近十年的全球电子密度数据.为了检验消除偏差后GRACE星间电子密度数据的可靠性,对比了GRACE卫星过Millstone Hill雷达上空时,非相干散射雷达观测到的大致同时和相近位置的电子密度数据,结果显示,二者之间的线性相关系数为0.97,平均偏差为-7.26%,GRACE星间电子密度总体稍微偏低,偏差的标准差为18.6%.为进一步验证本文方法所得数据的可用价值,利用消除偏差后的电子密度数据,对GRACE卫星与CHAMP卫星在近乎相同的地方时而高度不同的近圆极轨道上飞行的情况下,两颗卫星观测到的电子密度随经度和纬度的全球分布进行了对比分析.多方面的对比检验证明,本文方法得到的几乎连续10年的GRACE高度上全球电子密度数据基本可靠,为电离层气候学与天气学研究提供了宝贵资料.