Comparative inverse analysis of satellite (MODIS) and ground (PM10) observations to estimate dust emissions in East Asia

Soil dust aerosol is the largest contributor to aerosol mass concentrations in the troposphere and has considerable effects on air quality and climate. Arid and semi-arid areas of East Asia are one of the important dust source regions thus it is crucial to understand dust mobilization and accurately estimate dust emissions in East Asia. However, present dust models still contain large uncertainties with dust emissions that remain a significant contributor to the overall uncertainties in the model. In this study, we attempt to reduce these uncertainties by using an inverse modeling technique and obtain optimized dust emissions. We use Moderate Resolution Imaging Spectrometer (MODIS) aerosol optical depths (AODs) and groundbased mass concentrations of particles less than 10 μm in aerodynamic diameter (PM₁₀) observations over East Asia in May 2007. The MODIS AODs are validated with AErosol RObotic NETwork (AERONET) AODs. The inversion uses the maximum a posteriori method and the GEOS-Chem chemical transport model (CTM) as a forward model. The model error is large over dust source regions including the Gobi Desert and Mongolia. We find that inverse modeling analyses from the MODIS and PM₁₀ observations consistently result in decrease of dust emissions over Mongolia and the Gobi Desert. Whereas over the Taklamakan Desert and Manchuria, the inverse modeling analyses from both observations yield contrast results such as increase of dust sources using MODIS AODs, while decrease of those using PM₁₀ observations. We discuss some limitations of both observations to obtain the optimized dust emissions and suggest several strategies for the improvement of dust emission estimates in the model.     

大气气溶胶光学厚度遥感研究概况

大气气溶胶是影响气候变化的重要因子之一,利用遥感手段不仅可以获得气溶胶的分布信息,也可以得到相关的气溶胶光学特性参数。本文阐述了国内外气溶胶遥感的发展动态,介绍了气溶胶遥感的基本情况及气溶胶光学厚度反演的几种方法,提出了存在的问题并对今后的研究进行了展望。     

A Closure Study of Aerosol Hygroscopic Growth Factor during the 2006 Pearl River Delta Campaign

Measurements of aerosol physical, chemical and optical parameters were carried out in Guangzhou, China from 1 July to 31 July 2006 during the Pearl River Delta Campaign. The dry aerosol scattering coefficient was measured using an integrating nephelometer and the aerosol scattering coefficient for wet conditions was determined by subtracting the sum of the aerosol absorption coefficient, gas scattering coefficient and gas absorption coefficient from the atmospheric extinction coefficient. Following this, the aerosol hygroscopic growth factor, f(RH), was calculated as the ratio of wet and dry aerosol scattering coefficients. Measurements of size-resolved chemical composition, relative humidity (RH), and published functional relationships between particle chemical composition and water uptake were likewise used to find the aerosol scattering coefficients in wet and dry conditions using Mie theory for internally- or externally-mixed particle species [(NH₄)₂SO₄, NH₄NO₃, NaCl, POM, EC and residue]. Closure was obtained by comparing the measured f(RH) values from the nephelometer and other in situ optical instruments with those computed from chemical composition and thermodynamics. Results show that the model can represent the observed f(RH) and is appropriate for use as a component in other higher-order models.     

MODIS卫星遥感北京地区气溶胶光学厚度及与地面光度计遥感的对比

介绍MODIS卫星遥感气溶胶的方法,利用北京大学地面多波段太阳光度计的观测进行了对比,二者的相关性比较好.给出了描述北京地区气溶胶光学厚度分布的几幅图片.卫星遥感对于更好地研究空气污染提供了一种新手段,卫星遥感的气溶胶光学厚度弥补了地面观测空间覆盖不足的缺陷.卫星遥感的气溶胶资料不仅对全球和区域气候研究而且对城市污染分析提供了丰富的资料.     

GMS卫星遥感中国地区气溶胶光学厚度

讨论了利用GMS卫星遥感湖面上空气溶胶光学厚度的方法,根据在5个湖面附近与多波段光度计遥感结果的比较,对卫星遥感的方法和结果进行了检验,然后利用该方法遥感了中国大陆25个湖面上空气溶胶光学厚度.结果显示,利用卫星反演湖面光学厚度可以提供大陆上空气溶胶的信息,是研究大陆上空气溶胶光学厚度一个可行的方法.     

Aerosol radiative properties in the semiarid Western United States

Characterization of aerosol optical properties, such as aerosol optical depth, Angstrom exponent, and volume size distribution at the semiarid site of Tombstone Arizona (31°23′N, 110°05′W, 1408 m) will be presented for one annual cycle. In this region, extensive observations of selected optical parameters such as aerosol optical depth (AOD) have been made in the past and reported on in the literature. Less is known about other optical characteristics that are important in climate modeling and remote sensing. New observational techniques and inversion methods allow for the expansion of the earlier information. Observations have been taken with a state of the art sun photometer for a 1-year period and their analysis will be presented here. Monthly mean AODs at 500 nm were found to be in the range of 0.03–0.12; the monthly mean Angstrom exponent ranged from 0.9 to 1.6, being higher in spring and summer and lower in late fall and winter. Volume size distributions exhibit clear dominance of smaller particles, with a gradual increase in size from winter to spring and into summer. Annual variation of the radii of the smaller and the larger particles ranged between 0.05–0.4 and 4–8 μm, respectively. Radiance measurements at 940 nm were used to estimate precipitable water. The retrieved values compared within limits of uncertainty with independently derived estimates from the National Center for Environmental Prediction (NCEP) regional weather forecast model. An interesting outcome from this study was the consistency found in aerosol optical depths as observed in this study and those derived about two decades ago.     

Recent Progresses in Atmospheric Remote Sensing Research in China-- Chinese National Report on Atmospheric Remote Sensing Research in China during 1999-2003

Progresses of atmospheric remote sensing research in China during 1999-2003 are summarily introduced.This research includes: (1) microwave remote sensing of the atmosphere; (2) Lidar remote sensing; (3)remote sensing of aerosol optical properties; and (4) other research related to atmospheric remote sensing,including GPS remote sensing of precipitable water vapor and radiation model development.     

遥感信息与作物生长模型结合研究进展北大核心

遥感能周期性地获取大范围的地表作物信息,通过适当的反演方法能够定量地提供作物在区域尺度上的生长状况;而作物生长模型可以在单点尺度上模拟出作物生长发育的动态变化,对作物长势以及产量变化的做出机理性解释。将遥感信息与作物生长模型结合能实现二者优势互补,已成为目前作物长势监测和估产研究中的重要方法。本文总结了遥感信息和作物生长模型结合的两种主要方法,即驱动法和同化法,介绍了两种方法的常用算法、优缺点及国内外的应用情况,同时总结了将二者结合的研究趋势以及目前研究中存在的一些问题,旨在为后续遥感信息与作物生长模型结合的研究提供一定理论参考。     

利用静止卫星MTSAT反演大气气溶胶光学厚度

卫星遥感是获取气溶胶光学特性的重要手段,利用静止卫星可见光通道资料反演气溶胶光学厚度(AOD)的算法使用日本静止气象卫星MTSAT可见光通道资料反演了2008年5月中国地区陆地上的气溶胶光学厚度,将得到的结果分别与AERONET站点的地面观测值进行比较,得到了较好的线性相关关系,再将其与相应的MODIS气溶胶光学厚度产品进行比较,也得到了较为一致的分布,表明MTSAT反演的气溶胶光学厚度产品可以反映大气气溶胶光学厚度的日变化信息。最后对这种反演算法的误差来源进行了分析。     

利用可见光与近红外大气窗区的组合通道探测陆面上空气溶胶

本文提出了一种利用可见光与近红外大气窗区内的0.5μm和0.85μm双通道的组合,通过观测地气系统的反射辐射从卫星上遥感陆面上空气溶胶的方法.模拟试验发现,对于不同类型的气溶胶,随着气溶胶光学厚度的逐渐增大,0.5μm和0.85μm双通道的反射辐亮度的差值和比值呈现出明显不同的变化趋势,据此便可以识别出气溶胶的类型,并...     

从归一化植被指数提取气溶胶光学信息

利用卫星遥感和改进归一化植被指数(NDVI)算法,在最大值合成的MVC-NDVI与监测日NDVI差值中提取气溶胶浑浊度信息,形成新的气溶胶光学指数产品,通过监测珠三角地区细粒子气溶胶扩散过程的验证,表明方法是成功的。基于理论和实例分析,提出气溶胶研究应当从本地区地理环境和气溶胶特征的实际出发,重视细粒子气溶胶作为稳定的胶体系统对空气质量、天气系统和气候变化的影响,重视卫星遥感在气溶胶监测中的不可替代的作用。     

A Multivariate Empirical Orthogonal Function-Based Scheme for the Balanced Initial Ensemble Generation of an Ensemble Kalman Filter

The initial ensemble perturbations for an ensemble data assimilation system are expected to reasonably sample model uncertainty at the time of analysis to further reduce analysis uncertainty. Therefore, the careful choice of an initial ensemble perturbation method that dynamically cycles ensemble perturbations is required for the optimal performance of the system. Based on the multivariate empirical orthogonal function (MEOF) method, a new ensemble initialization scheme is developed to generate balanced initial perturbations for the ensemble Kalman filter (EnKF) data assimilation, with a reasonable consideration of the physical relationships between different model variables. The scheme is applied in assimilation experiments with a global spectral atmospheric model and with real observations. The proposed perturbation method is compared to the commonly used method of spatially-correlated random perturbations. The comparisons show that the model uncertainties prior to the first analysis time, which are forecasted from the balanced ensemble initial fields, maintain a much more reasonable spread and a more accurate forecast error covariance than those from the randomly perturbed initial fields. The analysis results are further improved by the balanced ensemble initialization scheme due to more accurate background information. Also, a 20-day continuous assimilation experiment shows that the ensemble spreads for each model variable are still retained in reasonable ranges without considering additional perturbations or inflations during the assimilation cycles, while the ensemble spreads from the randomly perturbed initialization scheme decrease and collapse rapidly.     

中国大气气溶胶研究综述

文中综合论述了近 2 0年来中国大气气溶胶研究状况 ,包括对大气气溶胶的直接采样分析 ,地面和卫星的遥感 ,大气气溶胶辐射特性及其气候效应的研究以及沙尘暴的形成、输送及气候效应的研究等。直接采样分析不仅研究了气溶胶的浓度和粒子谱分布等特性 ,而且也对其化学组分做了分析 ,高空气球采样得到了对流层和低平流层的气溶胶样品 ,并用X能谱电子显微镜进行了分析。地面遥感和多种卫星资料 ,包括AVHRR ,SVISSR ,TOMS ,POLDER等 ,被用来研究大气气溶胶的辐射特性 ,并提出了用消光和前向散射相结合和利用天空散射光分布反演粒子谱分布相函数等方法。开展了有关气溶胶气候效应的数值模拟研究 ,并对非球形粒子以及吸湿性粒子的作用做了专门的计算。对沙尘粒子的直接观测为研究其生成条件和输送特性提供了基础数据。文中对不同的研究方法进行了初步评述 ,并对气溶胶的研究提出几点建议。     

Aerosol Data Assimilation Using Data from Fengyun-3A and MODIS:Application to a Dust Storm over East Asia in 2011

Aerosol optical depth(AOD) is the most basic parameter that describes the optical properties of atmospheric aerosols,and it can be used to indicate aerosol content. In this study, we assimilated AOD data from the Fengyun-3 A(FY-3 A) and MODIS meteorological satellite using the Gridpoint Statistical Interpolation three-dimensional variational data assimilation system. Experiments were conducted for a dust storm over East Asia in April 2011. Each 0600 UTC analysis initialized a24-h Weather Research and Forecasting with Chemistry model forecast. The results generally showed that the assimilation of satellite AOD observational data can significantly improve model aerosol mass prediction skills. The AOD distribution of the analysis field was closer to the observations of the satellite after assimilation of satellite AOD data. In addition, the analysis resulting from the experiment assimilating both FY-3 A/MERSI(Medium-resolution Spectral Imager) AOD data and MODIS AOD data had closer agreement with the ground-based values than the individual assimilation of the two datasets for the dust storm over East Asia. These results suggest that the Chinese FY-3 A satellite aerosol products can be effectively applied to numerical models and dust weather analysis.     

Dispersion Modelling of the Kilauea Plume

Emissions from the Kilauea volcano pose significant environmental and health risksto the Hawaiian community. This paper describes progress toward simulating theconcentration and dispersion of plumes of volcanic aerosol after they emanate from thePu'u O'o vent of the Kilauea volcano.In order to produce an accurate regional forecast of the concentration and dispersionof volcanic aerosol, the Hybrid Single-Particle Lagrangian Integrated Trajectory(HY-SPLIT) model was used. Wind fields and thermodynamic data from the non-hydrostatic Mesoscale Spectral Model (MSM) were employed as input for theHY-SPLIT model. A combination of satellite remote sensing, aircraft, and ground-based observations collected during a field experiment was used to validate the model simulation of aerosol distribution.The HY-SPLIT model shows skill in reproducing the plume shape, orientation, and concentration gradients as deduced from satellite images of aerosol optical depth.Comparison of the modelled and observed values suggests that the model was able to produce reasonable plume concentrations and spatial gradients downwind of the source. Model concentrations were generally less than those observed on the leeward side of the Island of Hawaii. This deficiency may be explained by a lack of (i) background concentrations, (ii) local sources of pollution and/or (iii) sea-breeze circulation in the prognostic input wind field. These results represent early progress toward the goal of future operational application of the HY-SPLIT model to predict volcanic aerosol concentrations in Hawaii. This may help mitigate their negative impacts of plumes respiratory health, agriculture, and general aviation.     

卫星反演积雪信息的研究进展

综合分析了积雪信息反演的主要遥感信息源和提取方法。在光学遥感方面,应用较广的主要是改进型甚高分辨率扫描辐射仪（AVHRR）资料和中分辨率成像光谱仪（MODIS）资料;提取积雪信息大多是根据积雪在可见光波段的高反射率和近红外波段的低反射率,并通过建立回归模型反演积雪面积和深度。由于传感器的改进,MODIS卫星资料在空间分辨率、积雪反演算法等方面明显优于AVHRR资料。光学仪器受云层和大气的影响很大,由于云和积雪在可见光和近红外波段上都具有高反射率。并且由于云层的遮挡。云下的地表信息不能被光学遥感仪器所接收到。微波遥感方面,被动微波遥感仪如微波辐射计成像仪（SSM／I）、高级微波扫描辐射计（AMSR—E）等可以全天候穿过云层进行监测,具有光学仪器所没有的优势,并通过提取地表的亮温差,建立雪深反演模型得到积雪深度。被动微波传感器存在分辨率低。无法监测浅雪区信息等问题。另外影响地表微波亮温的因素很多,这些都在一定程度上影响了反演结果的精确度。主动微波遥感仪如合成孔径雷达、微波散射计等利用积雪与其它地物的后向散射系数的不同来识别积雪,但也同样存在分辨率低等问题。最后探讨了卫星反演积雪信息中仍然存在的问题和进一步发展的方向。     

Aerosol Chemistry, and Light-Scattering and Hygroscopicity Budgets during Outflow from East Asia

During the ACE-Asia field campaign, 41 aerosol filter samples were obtained by airborne sampling over the ocean to the north, south and west of Japan, generally under conditions of outflow from the Asian continent. These samples were analyzed for their water-soluble chemical components, particularly organic species. Suites of inorganic anions, carbohydrates, organic acids and metallic elements were identified and quantified (21 distinct species). Simultaneously, measurements were made of the aerosol hygroscopicity and light scattering. A factor analysis performed on the compositional data identified several sources for the aerosols sampled during the field campaign. Regression of the light-scattering data onto tracers for each of these factors suggests that the aerosol light scattering could be largely attributed to three of these factors: anthropogenic emissions, biomass burning, and soil dust. Similarly, the aerosol hygroscopicity was largely consistent with an empirical mixing model based on past measurements of the hygroscopicity of these individual aerosol types. Limited size-resolved , aerosol composition measurements were also obtained and suggested different sources for various chemical species.     

利用MODIS卫星和激光雷达遥感资料研究香港地区的一次大气气溶胶污染

利用MODIS可见光通道气溶胶光学厚度的卫星遥感和523 nm波长微脉冲激光雷达 (MPL LIDAR) 对气溶胶消光系数垂直分布的观测，分析了珠江三角洲地区2003年6月一次气溶胶污染过程中气溶胶光学厚度的分布特征、气溶胶消光系数廓线的演变，认为这次污染过程是弱高压控制下的区域性污染，而香港地区污染物浓度的上升与区域性输送有直接关系，结果表明卫星和激光雷达的光学遥感方法提供了研究大气污染的可行手段。     

A method for spaceborne synthetic remote sensing of atmospheric aerosol optical depth and vegetation reflectance

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