Instrument concept and preliminary performance analysis of GLORIA

The Global Radiance Limb Imager Experiment for the Atmosphere (GLORIA) shall provide a detailed global picture of the upper troposphere/lower stratosphere region (UTLS) and make available novel information on small-scale atmospheric dynamics.

The instrument will be a space borne imaging Fourier Transform Spectrometer operating in the thermal infrared spectral region. It will produce spectrally resolved images of the earth’s limb with a vertical extension of 60 km and a horizontal extension of 400 km. The paper focuses on the preliminary instrument concept and on results of studies concerning sensitivity and spectrometric performance. GLORIA has been proposed as a national German space mission. An aircraft version is currently under development.     

Simultaneous determination of aerosol- and surface characteristics from top-of-atmosphere reflectance using MERIS on board of ENVISAT

The determination of aerosol optical thickness (AOT) from nadir scanning multi-spectral radiometers, like SeaWiFS, MERIS or MODIS, requires the separation of spectral atmospheric and surface properties. Since SeaWiFS and MERIS do not provide information at 2.1 μm, like MODIS, the estimation of the surface reflectance cannot be made by the cross correlation approach described by Kaufman et al., 1997. The BAER approach (Bremen AErosol Retrieval), von Hoyningen-Huene et al., 2003, uses a linear mixing model of spectra for ‘green vegetation’ and ‘bare soil’, tuned by the NDVI, determining an apparent surface to enable this separation of aerosol and surface properties from VIS and NIR channels. Thus AOT can be derived over a wide range of land surfaces for wavelengths <0.67 μm. Using MERIS L1 data over Europe, the AOT retrieved is comparable with ground-based observations, provided by AERONET. Regional variation of AOT can be observed, showing the atmospheric variability for clear sky conditions by: large scale variation of aerosol turbidity, regional pollution, urban regions, effects of contrails and cases of aerosol-cloud interaction. Simultaneously with the spectral AOT also spectral surface reflectance is obtained, where all atmospheric influences have been considered (molecules, aerosols and absorbing gases (O₃)) for channels with wavelengths <0.67 μm. The AOT is extrapolated by Angström power law to NIR channels and the atmospheric correction for land surface properties is performed, enabling the further investigation of land use and spectral land properties.     

X-ray spectroscopy and variability of AGN detected in the 2 Ms Chandra Deep Field-North Survey

We investigate the nature of the faint X-ray source population through X-ray spectroscopy and variability analyses of 136 active galactic nuclei (AGN) detected in the 2 Ms Chandra Deep Field-North Survey with >200 background-subtracted 0.5–8.0 keV counts [F_{0.5–8.0 keV} = (1.4−200) × 10⁻¹⁵ erg cm⁻² s⁻¹]. Our preliminary spectral analyses yield median spectral parameters of Γ = 1.61 and intrinsic N_H = 6.2 × 10²¹ cm⁻² (z = 1 assumed when no redshift available) when the AGN spectra are fitted with a simple absorbed power-law model. However, considerable spectral complexity is apparent (e.g., reflection, partial covering) and must be taken into account to model the data accurately. Moreover, the choice of spectral model (i.e., free vs. fixed photon index) has a pronounced effect on the derived JVH distribution and, to a lesser extent, the X-ray luminosity distribution. We also find that among the 136 AGN, 10 (≈7%) show significant Fe K emission-line features with equivalent widths in the range 0.1–1.3 keV. Two of these emission-line AGN could potentially be Compton thick (i.e., Γ < 1.0 and large Fe K equivalent width). Finally, we find that 81 (≈60%) of the 136 AGN show signs of variability, and that this fraction increases significantly (≈80–90%) when better photon statistics are available.     

Boundary layer aerosol retrieval from thermal infrared nadir sounding – Preliminary results

A non-empirical algorithm is presented to retrieve the optical depth in the 750–1250 cm⁻¹ spectral range, of aerosol located in the boundary layer over the ocean, from nadir high-resolution radiance spectra in the thermal infrared. The algorithm is based on a line-by-line radiative transfer forward model and used the Optimal Estimation Method for the retrieval. Its performance strongly depends on the quality of the a priori temperature and H₂O atmospheric profiles. To demonstrate the relevance of the algorithm, distributions of maritime aerosol parameters have been retrieved from IMG/ADEOS data for December 1996, using the algorithm with the LBLRTM radiative transfer code, and ERA40 (ECMWF) a priori atmospheric profiles and surface conditions.     

太赫兹大气临边探测仪遥感中高层大气风仿真

太赫兹大气临边探测仪（TALIS）是中国正在预研的第一台THz频段的临边探测仪,主要用于高精度、高分辨率的大气遥感测量.TALIS的观测目标主要包括大气温度、大气压强、大气成分（例如H₂O,O₃,HCl,ClO,N₂O,HNO₃等）的垂直分布以及长期变化趋势.由于TALIS的频段覆盖了许多重要的吸收谱线,其观测数据中包含大气风的多普勒信息,因此可以用于反演中高层风的廓线.本文针对TALIS视线多普勒风的观测进行仿真,利用辐射传输模型（ARTS）评估了TALIS测风的潜力和相应的反演精度.结果表明,TALIS的118GHz谱仪具有较好的测量精度,在70km处的精度为12m·s-1.183GHz,633GHz和658GHz谱仪也有一定的测量信息,反演精度分别为19m·s-1（60km）,19m·s-1（50km）,16m·s-1（50km）.TALIS有一个候选的测风谱仪位于655GHz频段,其在55km处的反演精度为11m·s-1.此外,虽然降低谱分辨率能有效提高系统灵敏度,但并不能提高反演精度,需要通过降低系统噪声来提高测风的精度.      

电推进羽流诊断中阻滞势分析器的快速处理算法

介绍了一种基于统计方法分析阻滞势分析器响应曲线的数据处理算法. 该算法可以在电推进诊断中快速提取待测粒子的环境参数. 通过对阻滞势分析器测量得到的U-I响应曲线物理性质的分析, 推导出以曲线中所有测量值为基础提取粒子温度和密度的统计处理算法. 以具体卫星电推进诊断中对阻滞势分析器的测量要求以及工程参数为例, 设计并进行了仿真模拟实验. 在设计要求的测量范围内, 利用本文算法得到的离子密度的平均误差为6.62 %, 粒子温度的平均误差为7.45 %. 通过分析算法运算量, 在实际工程中采用12 MHz主频的8031处理器可以在0.5 s内完成本算法全部处理过程.      

Study of the luminosity-dependent cyclotron resonance energies of the binary X-ray pulsar 4U 0115+63 with RXTE

We report on the luminosity dependent change of the cyclotron resonance energy obtained from a transient X-ray pulsar, 4U 0115+63. Using RXTE data observed on 1999 March, we found that the fundamental resonance energy stayed constant (11 keV) when the source luminosity was above 5 × 10³⁷ erg s⁻¹. As the luminosity decreased below 5 × 10³⁷ erg s⁻¹, the fundamental resonance energy gradually increased up to 16 keV at 0.16 × 10³⁷ erg s⁻¹. The luminosity dependence of the resonance energy can be understood by the change of the accretion column height.     

Retrieval of vegetation equivalent water thickness from reflectance using genetic algorithm (GA)-partial least squares (PLS) regression

This study aimed to investigate the performance of genetic algorithms coupled with partial least squares (GA-PLS) modeling of spectral reflectance in retrieving equivalent water thickness (EWT) at leaf and canopy level. A genetic algorithm was used to identify a subset of spectral bands sensitive to the variation in EWT, and PLS was then applied to relate the identified bands to EWT values. GA-PLS was applied to leaf level reflectance available from LOPEX dataset, and canopy data includes reflectance simulated by a leaf radiative transfer model PROSPECT and a canopy radiative transfer model SAILH and acquired by airborne visible/infrared imaging spectrometer (AVIRIS). The results indicate that GA-PLS has the capability of retrieving EWT from leaf and canopy reflectance, and achieved good estimation accuracy, i.e. low root mean square errors (RMSE) and high squared correlation coefficients (R²). For the retrieval at leaf level, the estimation accuracy can be as good as RMSE = 0.0019 g/cm² and R² = 0.939 or better. For the retrieval at canopy level, the model accuracy is RMSE = 0.0061 g/cm² and R² = 0.966 or better when PROSPECT-SAILH simulated reflectance was used; when AVIRIS image spectra were used, the model accuracy is RMSE = 0.0094 g/cm² and R² = 0.8734 for the calibration, and RMSE = 0.0132 g/cm² and R² = 0.7756 for the validation. These results from GA-PLS modeling support the conclusion that GA-PLS has the potential to be applied to AVIRIS, Hyperion and HyMap imagery for retrieving EWT. The selected bands for the AVIRIS datasets differ from those for the LOPEX and PROSPECT-SAILH simulated datasets, and this inconsistence of the selected bands for different datasets indicates that the GA-PLS method has the advantage of tuning the optimum bands for PLS regression and accommodating the effects of confounding factors.     

基于小波与交叉小波分析的太阳黑子与宇宙线相关性研究

利用小波分析和交叉小波分析方法, 根据太阳黑子数以及Huancayo和Climax两个测站的月均宇宙线数据, 分析了两个测站的月均宇宙线周期变化, 同时利用太阳黑子数R₁₂对Climax站宇宙线流量进行预测研究. 小波分析结果表明, 太阳黑子与宇宙线除存在显著的11年周期外, 太阳活动高年期间还存在1～6个月尺度的周期特性, 在第22太阳周活动高年时还出现了6～8和1～22个月的变化周期; 交叉小波分析结果表明, 在130个月左右的周期上宇宙线与太阳黑子具有显著的负相关性, 并且宇宙线的变化滞后太阳黑子约8个月; 分别采用预测时刻和8个月前的太阳黑子数, 预测相对误差为3.8912%和3.2386%. 本文方法同样适用于估算其他空间天气参量之间的周期和相关性, 提高各种空间天气参量的预测或预报精度.      

A serendipitous survey for galaxy clusters by the XMM-Newton Survey Science Center

We describe the initial results of a programme to detect and identify extended X-ray sources found serendipitously in XMM-Newton observations. We have analyzed 186 EPIC-PN images at high galactic latitude with a limiting flux of 1 × 10⁻¹⁴ erg cm⁻² s⁻¹ and found 62 cluster candidates. Thanks to the enhanced sensitivity of the XMM-Newton telescopes, the new clusters found in this pilot study are on the average fainter, more compact, and more distant than those found in previous X-ray surveys. At our survey limit the surface density of clusters is about 5 deg⁻². We also present the first results of an optical follow-up programme aiming at the redshift measurement of a large sample of clusters. The results of this pilot study give a first glimpse on the potential of serendipitous cluster science with XMM-Newton based on real data. The largest, yet to be fulfilled promise is the identification of a large number of high-redshift clusters for cosmological studies up to z = 1 or 1.5.     

The MGM spectral analysis of Wolf sunspot numbers: Preliminary results

A method of nonlinear spectral analysis, named by the method of the global minimum (MGM) has been used to find periodicities in the annual Wolf sunspot numbers W, for the 295 year time period from 1700 to 1995. The normalised mean square error of the model fit to the data set . The main spectral peak is an unresolved (due to confluence of error bars) triplet at mean period 252 yr. We hypothesise that one of the triplet peaks is connected with the rotation period of a massive 10^th planet, which has to be located at one of Pluto's Lagrange points. The solar magnetic cycle (22 yr) could be the 11^th harmonic of this triplet (22.3×11=245 yr). The most powerful peak in vicinity of 11 years is an unresolved doublet with a mean period of T=10.8 yr. We have demonstrated that the magnetic cycle is non-stationary during the period 1700–1995 and described by doublet with a mean period of T=22.3 yr. Other nonstationary harmonics are discussed, also. The 11.87- yr spectral peak could be associated with the effect of Jupiter. Error bars and the statistical significances of the spectral peaks are presented. The study is ongoing, so that our results will be rendered more precise in the next future.     

Estimation of vertically integrated water vapor in Hungary using MODIS imagery

Information about the amount and spatial structure of atmospheric water vapor is essential in understanding meteorology and the Earth environment. Space-borne remote sensing offers a relatively inexpensive method to estimate atmospheric water vapor in the form of integrated water vapor (IWV). The research activity reported in the present paper is based on the data acquired by the HRPT/MODIS (High Resolution Picture Transmission, MODerate resolution Imaging Spectroradiometer) receiving station established in Budapest (Hungary) by the Space Research Group of the Eötvös Loránd University. Integrated water vapor is estimated by the remotely sensed data of the MODIS instrument with different methods and also by the operational numerical weather prediction model of the European Centre for Medium-Range Weather Forecasts (ECMWF). Radiosonde data are used to evaluate the accuracy of the different IWV fields though it has been pointed out that the in situ data also suffers from uncertainties. It was found that both the MODIS and the ECMWF based fields are of good accuracy. The satellite data represent finer scale spatial structures while the ECMWF data have a relatively poor spatial resolution. The high quality IWV fields have proved to be useful for radiative transfer studies such as the atmospheric correction of other satellite data from times different than the overpass times of satellites Terra/Aqua and the forecast times of the model data. For this purpose the temporal variability of IWV is scrutinized both using ECMWF and MODIS data. Taking advantage of Terra and Aqua overpasses, the mean rate of change of IWV estimated by the near infrared method was found to be 0.47 ± 0.45 kg m⁻² h⁻¹, while it was 0.13 ± 0.65 kg m⁻² h⁻¹ based on the infrared method. The numerical weather prediction model’s analysis data estimated −0.01 ± 0.13 kg m⁻² h⁻¹ for the mean growth rate, while using forecast data it was 0.24 ± 0.18 kg m⁻² h⁻¹. MODIS data should be used when available for the estimation of the IWV in other studies. If no satellite data are available, or available data are only from one overpass, ECMWF based IWV can be used. In this case the analysis fields (or the satellite field) should be used for temporal extrapolation but the rate of change should be calculated from the forecast data due to its higher temporal resolution.     

太阳E10.7指数的反演及预报方法

针对高层大气密度预报和轨道预报业务中对新型太阳紫外辐射指数E_10.7的需求,基于TIMED-SEE观测仪器提供的0.1～105 nm太阳辐射强度数据,开展了E_10.7指数反演和中期预报研究。 E_10.7指数是太阳光谱中波长为0.1～105 nm的辐射流量,单位与F_10.7指数相同（sfu,1 sfu=10–22 W·m–2·Hz–1）。 TIMED-SEE观测仪器提供的0.1～105 nm太阳辐射强度实测值具有高时间分辨率、延迟时间短和易获得的优势,利用最小二乘法拟合可反演出准实时的E_10.7指数,均方根误差为5.445 sfu。利用高阶自回归模型对E_10.7的中期预报效果尚佳,未来27天的预报值平均相对误差为7.83%。利用同样方法还开展了E_10.7指数81天中心滑动平均值未来27天预报试验,未来27天的预报值平均相对误差仅为3.63%。      

Noise in wireless systems from solar radio bursts

Solar radio bursts were first discovered as result of their interference in early defensive radar systems during the Second World War (1942). Such bursts can still affect radar systems, as well as new wireless technologies. We have investigated a forty-year record of solar radio burst data (1960–1999) as well as several individual radio events in the 23rd solar cycle. This paper reviews the results of a portion of this research. Statistically, for frequencies f  1 GHz (near current wireless bands), there can be a burst with amplitudes >10³ solar flux units (SFU; 1 SFU = 10⁻²² W/m²) every few days during solar maximum conditions, and such burst levels can produce problems in contemporary wireless systems.     

Chemical heating rates derived from SCIAMACHY vibrationally excited OH limb emission spectra

The SCIAMACHY instrument on board Envisat is able to measure nearly all vibrational transitions of mesospheric hydroxyl – from the ultraviolet to the near infrared spectral region.

In this paper, we analyze SCIAMACHY limb emission data in the 1000–1750 nm spectral region by means of a new vibrational non-LTE model of OH. Several hydroxyl hotbands are identified. Vibrational non-LTE model calculations applying different collisional relaxation models are able to reproduce the measured spectra. Best agreement between model calculations and measured spectra is obtained, if a combination of multiquantum and step ladder single-quantum relaxation model is applied. Emissions from the OH(v = 9) vibrational state are used to derive chemical heating rates from the SCIAMACHY spectra. Instantaneous heating rates are in the order of 10 K/day.     

Comparison of OClO nadir measurements from SCIAMACHY and GOME

The scanning imaging absorption spectrometer for atmospheric chartography was launched successfully onboard ENVISAT on March 1, 2002. It observes the solar radiation transmitted and backscattered from the atmosphere and reflected from the ground in nadir, limb and occultation viewing modes. Chlorine dioxide (OClO), an important indicator for stratospheric chlorine activation, can be measured in the UV spectral range by differential optical absorption spectroscopy (DOAS).

First results of the DOAS retrieval of OClO slant column densities from the SCIAMACHY nadir measurements are presented and compared to measurements of the global ozone monitoring experiment (GOME), which has successfully measured OClO since 1995. While SCIAMACHY operates in the same orbit, it measures ≈30 min earlier than GOME and has an increased spatial resolution (30 × 60 km² compared to 40 × 320 km² for GOME).     

The optical to X-ray spectrum of the broad-line ultrasoft AGN RE J2248-511

We present a series of monitoring observations of the ultrasoft broad-line Seyfert galaxy RE J2248-511 with XMM-Newton. Previous X-ray observations showed a transition from a very soft state to a harder state five years later. We find that the ultrasoft X-ray excess has re-emerged, yet there is no change in the hard power-law. Reflection models with a reflection fraction of 15, and Comptonisation models with two components of different temperatures and optical depths (kT₁ = 83 keV, T₁ = 30 eV, τ₁ = 0.8; KT₂ = 3.5 keV, T₂ = 60 eV, τ₂ = 2.8) can be fit to the spectrum, but cannot be constrained. The best representation of the spectrum is a model consisting of two blackbodies (kT₁ = 0.09 ± 0.01 keV, kT₂ = 0.21 ± 0.03 keV) plus a power-law (Γ = 1.8 ± 0.08). We also present simultaneous optical and infrared data showing that the optical spectral slope also changes dramatically on timescales of years. If the optical to X-ray flux comes primarily from a Comptonised accretion disk we obtain estimates for the black hole mass , accretion rate and inclination cos(i)  0.8 of the disk.     

基于Gooding算法的天基光学目标跟踪定轨

开展了基于Gooding算法的400km天基平台光学目标监测的轨道确定研究,当测量误差为3”和6”时,分别对800,1500及36000km轨道高度目标进行初始轨道确定及轨道改进分析.仿真结果表明,利用400km轨道高度平台对800~1500km轨道高度目标进行初定轨,测量数据误差为3”~6”时,4~15min弧段的初定轨精度约在10km量级,1~2min弧段的初定轨精度约在100km量级;15min初定轨弧段轨道改进后误差在100m量级,弧段小于10min时轨道改进误差精度在km量级.利用400km轨道高度平台对36000km轨道高度目标进行初定轨,测量数据误差为3”时,15~20min弧段的初定轨精度约在数十km量级,8~10min弧段的初定轨精度在100km量级;轨道改进后误差在km量级.测量数据误差为6”时,20min弧段初定轨精度在10km量级,8~15min弧段初定轨精度在100km量级,轨道改进后误差精度在10km量级.      

Direct radiative forcing from black carbon aerosols over urban environment

There is growing evidence that the earth’s climate is changing and will likely continue to change in the future. It is still debated whether these changes are due to natural variability of the climate system or a result of increases in the concentration of greenhouse gases in the atmosphere. Black carbon (BC) has become the subject of interest for a variety of reasons. BC aerosol may cause environmental as well as harmful health effects in densely inhabited regions. BC is a strong absorber of radiation in the visible and near-infrared part of the spectrum, where most of the solar energy is distributed. Black carbon is emitted into the atmosphere as a byproduct of all combustion processes, viz., vegetation burning, industrial effluents and motor vehicle exhausts, etc. In this paper, we present results from our measurements on black carbon aerosols, total aerosol mass concentration and aerosol optical depth over an urban environment namely Hyderabad during January to May, 2003. Diurnal variations of BC indicate high BC concentrations during 6:00–9:00 and 19:00–23:00 h. Weekday variations of BC concentrations increase gradually from Monday to Wednesday and gradually decrease from Thursday to Sunday. Analysis of traffic density along with meteorological parameters suggests that the primary determinant for BC concentration levels and patterns is traffic density. Seasonal variations of BC suggest that the BC concentrations are high during dry season compared to rainy season due to the scavenging by air. The fraction of BC to total mass concentration has been observed to be 7% during January to May. BC showed positive correlation with total mass concentration and aerosol optical depth at 500 nm. Radiative transfer calculations suggests that during January to May, diurnal averaged aerosol forcing at the surface is −33 Wm² and at the top of the atmosphere (TOA) above 100 km it is observed to be +9 Wm⁻². The results have been discussed in detail in the paper.