检索结果-南通市图书馆

Atmospheric Profile Retrieval with airs Data and Validation at the ARM CART Site

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2005年第5期22卷 647-654页

作者：吴雪宝李俊张文建王芳 Department of Atmospheric Science Peking University National Satellite Meteorological Center Beijing 100081 Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison Madison WI 53706 National Satellite Meteorological Center

The physical retrieval algorithm of atmospheric temperature and moisture distribution from the Atmospheric InfraRed Sounder （airs） radiances is presented. The retrieval algorithm is applied to airs clear-sky radiance measurements. The algorithm employs a statistical retrieval followed by a subsequent nonlinear physical retrieval. The regression coefficients for the statistical retrieval are derived from a dataset of global radiosonde observations （RAOBs） comprising atmospheric temperature, moisture, and ozone profiles. Evaluation of the retrieved profiles is performed by a comparison with RAOBs from the Atmospheric Radiation Measurement （ARM） Program Cloud And Radiation Testbed （CART） in Oklahoma, U. S. A.. Comparisons show that the physically-based airs retrievals agree with the RAOBs from the ARM CART site with a Root Mean Square Error （RMSE） of 1K on average for temperature profiles above 850 hPa, and approximately 10% on average for relative humidity profiles. With its improved spectral resolution, airs depicts more detailed structure than the current Geostationary Operational Environmental Satellite （GOES） sounder when comparing airs sounding retrievals with the operational GOES sounding products.

关键词： airs physical retrieval atmospheric profile and ARM CART site

The Impact of airs Atmospheric Temperature and Moisture Profiles on Hurricane Forecasts: Ike(2008) and Irene(2011)

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2015年第3期32卷 319-335页

作者： ZHENG Jing Jun LI Timothy J.SCHMIT Jinlong LI Zhiquan LIU Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-MadisonWisconsin 53706 USA National Satellite Meteorological Center China Meteorological Administration Advanced Satellite Products Branch Center for Satellite Applications and ResearchNESDIS/NOAA Madison WI 53706 USA National Center for Atmospheric Research Boulder Colorado 80305 USA

Atmospheric InfraRed Sounder （airs） measurements are a valuable supplement to current observational data,especially over the oceans where conventional data are *** this study,two types of airs-retrieved temperature and moisture profiles,the airs Science Team product （SciSup） and the single field-of-view （SFOV） research product,were evaluated with European Centre for Medium-Range Weather Forecasts （ECMWF） analysis data over the Atlantic Ocean during Hurricane Ike （2008） and Hurricane Irene （2011）.The evaluation results showed that both types of airs profiles agreed well with the ECMWF analysis,especially between 200 hPa and 700 *** average standard deviation of both temperature profiles was approximately 1 K under 200 hPa,where the mean airs temperature profile from the airs SciSup retrievals was slightly colder than that from the airs SFOV *** mean SciSup moisture profile was slightly drier than that from the SFOV in the mid troposphere.A series of data assimilation and forecast experiments was then conducted with the Advanced Research version of the Weather Research and Forecasting （WRF） model and its three-dimensional variational （3DVAR） data assimilation system for hurricanes Ike and *** results showed an improvement in the hurricane track due to the assimilation of airs clear-sky temperature profiles in the hurricane *** terms of total precipitable water and rainfall forecasts,the hurricane moisture environment was found to be affected by the airs sounding ***,improving hurricane intensity forecasts through assimilating airs profiles remains a challenge for further study.

关键词： airs data assimilation temperature profile moisture profile hurricane forecast WRF 3DVAR

Synergistic Use of airs and MODIS for Dust Top Height Retrieval over Land

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2015年第4期32卷 470-476页

作者： YAO Zhigang Jun LI ZHAO Zengliang Beijing Institute of Applied Meteorology Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison

It is nontrivial to extract the dust top height（DTH） accurately from passive instruments over land due to the complexity of the surface conditions. The Moderate Resolution Imaging Spectroradiometer（MODIS） deep blue（DB） algorithm can be used to infer the aerosol optical depth（AOD） over high-reflective surfaces. The Atmospheric Infrared Sounder（airs） can simultaneously obtain the DTH and optical depth information. This study focuses on the synergistic use of airs observations and MODIS DB results for improving the DTH by using a stable relationship between the airs infrared and MODIS DB AODs. A one-dimensional variational（1DVAR） algorithm is applied to extract the DTH from airs. Simulation experiments indicate that when the uncertainty of the dust optical depth decreases from 50% to 20%, the improvement of the DTH retrieval accuracy from airs reaches 200 m for most of the assumed dust conditions. For two cases over the Taklimakan Desert, the results are compared against Cloud-Aerosol Lidar with Orthogonal Polarization（CALIOP） measurements. The results confirm that the MODIS DB product could help extract the DTH over land from airs.

关键词： airs MODIS dust height Cloud-Aerosol Lidar with Orthogonal Polarization

Ensemble Retrieval of Atmospheric Temperature Profiles from airs

在线全文

学校读者我要写书评

暂无评论

Advances in Atmospheric Sciences 2014年第3期31卷 559-569页

作者： ZHANG Jie Zhenglong LI Jun LI Jinglong LI Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Key Laboratory of Meteorological Disaster of Ministry of EducationNanjing University of Information Science & Technology Cooperative Institute for Meteorological Satellite Studies University of Wisconsin-Madison

ABSTRACT Satellite-based observations provide great opportunities for improving weather forecasting. Physical retrieval of atmo spheric profiles from satellite observations is sensitive to the uncertainty of the first guess and other factors. In order to improve the accuracy of the physical retrieval, an ensemble methodology was developed with an emphasis on perturbing the first guess. In the methodology, a normal probability density function （PDF） is used to select the optimal profile from the ensemble retrievals. The ensemble retrieval algorithm contains four steps：（1） regression retrieval for original first guess; （2） perturbation of the original first guess to generate new first guesses （ensemble first guesses）; （3） using the ensemble first guesses and nonlinear iterative physical retrieval to generate ensemble physical results; and （4） the final optimal profile is selected from the ensemble physical results by using PDE Temperature eigenvectors （EVs） were used to generate the pertur- bation and generate the ensemble first guess. Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder （airs）, the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of 0.3 K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of 0.69 K at 460 hPa. The combined optimal （CombOpt） profile and a mean optimal （MeanOpt） profile of all ensemble physical results were improved below 150 hPa. The MeanOpt profile was better than the CombOpt profile, and was regarded as the final optimal （FinOpt） profile. This study lays the foundation for improving temperature retrievals from hyper-spectral infrared radiance measurements.

关键词： ensemble retrieval perturbation eigenvectors PDF airs

Global consistency check of airs and IASI total CO2 column concentrations using WDCGG ground-based measurements

在线全文

学校读者我要写书评

暂无评论

Frontiers of Earth Science 2017年第1期11卷 1-10页

作者： Anyuan DIAO Jiong SHU Ci SONG Wei GAO Key Laboratory of Geographic Information Science (Ministry of Education) School of Geographic Sciences East China Normal University Shanghai 200241 China Colorado State University Department of Ecosystem Science and Sustainability Fort Collins Colorado 80523 USA Colorado State University Natural Resource Ecology Laboratory Fort Collins Colorado 80523 USA

This article describes a global consistency check of CO2 satellite retrieval products from the Atmospheric Infrared Sounder （airs） and Infrared Atmospheric Sounding Interferometer （IASI） using statistical analysis and data from the World Data Centre for Greenhouse Gases （WDCGG）. We use the correlation coefficient （r）, relative difference （RD）, root mean square errors （RMSE）, and mean bias error （MBE） as evaluation indicators for this study. Statistical results show that a linear positive correlation between airs/IASI and WDCGG data occurs for most regions around the world. Temporal and spatial variations of these statistical quantities reflect obvious differences between satellite-derived and ground-based data based on geographic position, especially for stations near areas of intense human activities in the Northern Hemisphere. It is noteworthy that there appears to be a very weak correlation between airs/IASI data and ten ground- based observation stations in Europe, Asia, and North America. These results indicate that retrieval products from the two satellite-based instruments studied should be used with great caution.

关键词： CO2 consistency check airs IASI WDCGG

RETRIEVING ATMOSPHERIC SOUNDING PROFILES AROUND TYPHOON YUNNA USING INFRARED HYPERSPECTRAL MEASUREMENTS airs

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Tropical Meteorology 2010年第3期16卷 201-209页

作者：黄兵刘建文白杰李耀东高守亭 School of Physics Peking University Aviation Institute of Air Force Institute of Atmospheric Sciences Chinese Academy of Sciences

In this study,we derived atmospheric profiles of temperature,moisture,and ozone,along with surface emissivity,skin temperature,and surface pressure,from infrared-sounder radiances under clear sky (cloudless) *** were detected objectively using the Atmospheric Infrared Sounder under a relatively low spatial resolution and cloud-mask information from the Moderate Resolution Imaging Spectroradiometer under a high horizontal resolution;this detection was conducted using space ***’s nonlinear physical iterative solution technique is applied to the radiative transfer equation (RTE) to retrieve temperature profiles,relative humidity profiles,and surface variables *** technique is carried out by using the results of an eigenvector regression retrieval as the background profile and using corresponding iterative forms for the weighting functions of temperature and water-vapor mixing *** iterative forms are obtained by applying the variational principle to the *** also compared the retrievals obtained with different types of *** results show that the retrieved atmospheric sounding profile has great superiority over other observations by accuracy and *** profiles can be used to improve the initial conditions of numerical models and used in areas where conventional observations are sparse,such as plateaus,deserts,and seas.

关键词： infrared remote sensing retrieval atmospheric sounding profile MODIS airs

Validation of airs-Retrieved atmospheric temperature data over the Taklimakan Desert

在线全文

学校读者我要写书评

暂无评论

Research in Cold and Arid Regions 2020年第4期12卷 242-251页

作者： YuFen Ma RuQi Li Men Zhang MinZhong Wang Mamtimin Ali Institute of Desert Meteorology China Meteorological AdministrationUrumqiXinjiang 830002China Center of Central Asia Atmospheric Science Research UrumqiXinjiang 830002China Xinjiang Meteorological Observatory UrumqiXinjiang 830002China

The Taklimakan Desert, the world's second largest desert, plays an important role in regional climate change. Previousstudies on its spatial temperature features suffered from sparse conventional detection data, but the Atmospheric InfraredSounder (airs) provides excellent temperature retrievals with high spatiotemporal resolution. Validation of airs temperatureretrievals over desert regions with high land-surface emissivity, the key contributor to inversion error, is essential beforeusing these data in regional weather/climate modeling. This paper examines the correlation coefficients, root meansquare error (RMSE) and mean BIAS between airs-retrieved atmospheric temperature data and radiosonde observations(RAOBs) in the Taklimakan Desert hinterland and oases in the morning and at dusk. Firstly, the airs retrievals are consistentwith RAOBs and are more consistent in the morning than at dusk. The consistency is better over a small-scale desert oasisthan over a large-scale oasis in the morning and exhibits the opposite trend at dusk. The correlation coefficient over thehinterland is high in the morning but negative at dusk due to high desert-surface emissivity. Second, the RMSEs, which areall smaller than 3 K, are generally higher over desert sites than over oasis sites and slightly lower over a small-scale oasisthan over a large-scale oasis in the morning. At dusk, the RMSEs are higher over desert sites than over oases and slightlyhigher over a small-scale oasis than over a large-scale oasis. Furthermore, the RMSEs are generally higher in the morningthan at dusk over a large-scale oasis and lower in the morning than at dusk over a small-scale oasis. Third, the absolutemean BIAS values are mostly lower than 1 K. In the morning, relative to RAOB temperatures, the retrieval temperaturesare higher over desert sites but lower over oasis sites. At dusk, the retrieval temperatures are lower than RAOB temperaturesover both desert and oasis sites. The retrieval temperatures a

关键词： airs Taklimakan Desert temperature quality validation

airs卫星温度和臭氧廓线在南极的验证分析

在线全文

学校读者我要写书评

暂无评论

地球物理学报 2020年第4期63卷 1318-1331页

作者：张雷丁明虎卞林根李建南京信息工程大学南京210044 中国气象科学研究院灾害天气国家重点实验室北京100081

利用2008年中山站、Amundesen-Scott(SouthPole)站和Neumayer站为期一年的温度和臭氧探空数据,对airs第六版温度和臭氧垂直廓线产品在南极的精度进行了验证.结果表明,airs温度与探空温度总体上具有显著的一致性,其中对流层偏差最小(RMS... 详细信息

利用2008年中山站、Amundesen-Scott(SouthPole)站和Neumayer站为期一年的温度和臭氧探空数据,对airs第六版温度和臭氧垂直廓线产品在南极的精度进行了验证.结果表明,airs温度与探空温度总体上具有显著的一致性,其中对流层偏差最小(RMSeairs温度平均低于探空观测且受季节变化影响显著,秋冬季偏差整体上高于春夏季.airs臭氧反演精度在平流层(RMSe^25%)要优于对流层(RMSe^30%),RMSe最大值出现在UT-LS区域(可达40%)且在"臭氧洞"期间明显增大.airs产品精度在南极沿岸和内陆存在差异,由于南极地区探空资料较少且主要位于沿海,故在南极内陆地区进行探空观测对于提高卫星资料精度,改善该区域天气预报能力具有重大意义.

关键词： airs 温度廓线臭氧廓线验证

airs红外高光谱卫星数据反演卷云光学厚度和云顶高度

在线全文

学校读者我要写书评

暂无评论

光谱学与光谱分析 2015年第5期35卷 1208-1213页

作者：曹亚楠魏合理戴聪明张学海中国科学院安徽光学精密机械研究所中国科学院大气成分与光学重点实验室安徽合肥230031 中国科学院大学北京100049 中国科学技术大学环境光学学院安徽合肥230031

基于大气红外探测器L1B红外高光谱辐射观测资料,结合中分辨率成像光谱仪（moderate resolution imaging spectroradiometer,MODIS）云产品数据,利用通用大气辐射传输模式（combined atmospheric radiative transfer model,CART）,根据模式模拟和airs实际观测亮温的亮温差,研究从airs红外波段1 070～1 135cm^-1高光谱数据反演卷云的光学厚度和云顶高度。将反演的卷云光学厚度与云顶高度作为输入参数模拟计算650～1 150cm^-1波段卷云大气顶的辐射亮温谱,并将模拟值与airs观测亮温谱进行了对比分析。将反演的卷云光学厚度和云顶高度和airs的760通道（900.56cm^-1,11.1μm）的亮温以及MODIS卷云反射率进行了对比分析。最后将反演的卷云云顶高度和MODIS云顶高度进行了对比分析。研究结果表明：反演所使用的650～1 150cm^-1波段模式模拟和观测亮温谱吻合得很好,说明CART可以较好的模拟airs亮温谱。反演的卷云参数与airs在大气窗口区的760通道（900.56cm^-1,11.1μm）的亮温的分布满足低亮温对应较大的卷云光学厚度和高云顶高度。反演的卷云参数和MODIS卷云的反射率分布满足高卷云光学厚度和云顶高度对应高卷云反射率。反演的卷云云顶高度和MODIS的卷云云顶高度之间线性相关系数相对较高,且都在8.5～11.5km的概率较高,两者的概率分布趋势一致。说明CART可以用于反演卷云的性质,反演结果具有一定的可靠性。

关键词：卷云红外高光谱 airs 光学厚度云高反演