高光谱大气红外探测仪(AIRS)反演大气不稳定度指数在强对流天气个例中的应用试验

使用探空、NCEP-FNL,数据和高光谱分辨率大气垂直探测仪(AIRS)标准反演数据计算大气不稳定度指数,对2011年6月23日北京强对流天气发生前的本地及上游大气中不稳定能量进行分析研究。分析发现:利用08、14和20时探空数据计算的北京站不稳定度指数显示了在"6·23暴雨"过程发生前后北京上空不稳定能量变化,上游关键区无探空数据;利用NCEP和AIRS数据计算的不稳定度指数显示,强对流天气发生前,在北京的上游关键区大气处于极端不稳定状态(K指数大于40,SI指数小于一5),有利于强对流天气发生。文章的研究结果表明,探空数据时空分辨率较低,不利于监测强对流天气的发生;质量控制后AIRS数据计算的不稳定度指数可以监测对流天气的发生;空间分辨率较低的NCEP数据监测小范围大气不稳定层结能力较低。综上所述,AIRS反演产品具有弥补探空资料时空分辨率不足的优势,利用AIRS L2反演产品计算晴空大气不稳定度指数产品可以监测到"6·23暴雨"天气发生前上游关键区大气层结稳定度状态,为预报员决策提供有效的辅助信息。     

An improved dark object method to retrieve 500 m-resolution AOT (Aerosol Optical Thickness) image from MODIS data: A case study in the Pearl River Delta area,China

This paper presents an improved Dark Dense Vegetation (DDV) method for retrieving 500 m-resolution aerosol optical depth (AOT) based on MOD04-C005 arithmetic with the Moderate Resolution Imaging Spectroradiometer (MODIS) from the National Aeronautics and Space Administration (NASA). The improvements include change of the movement pattern of retrieval window, selection of a more suitable aerosol type, and storage of the look-up table. The method is then applied to obtain the AOT over the Pearl River Delta region (PRD). By comparing the results with the co-temporal ground sunphotometer observations in 2010, the correlation coefficient is found to be 0.794 with RMSE 0.139 and their variations remain consistent. Contrasts between model values in 2008 and MODIS AOT products in the same date also reveal a high accuracy of the improved DDV method. We also performed sensitivity tests to analyze the impacts of several parameters on apparent reflectance at different bands, and the results show that apparent reflectance is much more sensitive to surface reflectance and AOT than to elevation.     

Retrieval of wheat leaf area index from AWiFS multispectral data using canopy radiative transfer simulation

Accurate representation of leaf area index (LAI) from high resolution satellite observations is obligatory for various modelling exercises and predicting the precise farm productivity. Present study compared the two retrieval approach based on canopy radiative transfer (CRT) method and empirical method using four vegetation indices (VI) (e.g. NDVI, NDWI, RVI and GNDVI) to estimate the wheat LAI. Reflectance observations available at very high (56 m) spatial resolution from Advanced Wide-Field Sensor (AWiFS) sensor onboard Indian Remote Sensing (IRS) P6, Resourcesat-1 satellite was used in this study. This study was performed over two different wheat growing regions, situated in different agro-climatic settings/environments: Trans-Gangetic Plain Region (TGPR) and Central Plateau and Hill Region (CPHR). Forward simulation of canopy reflectances in four AWiFS bands viz. green (0.52–0.59 μm), red (0.62–0.68 μm), NIR (0.77–0.86 μm) and SWIR (1.55–1.70 μm) were carried out to generate the look up table (LUT) using CRT model PROSAIL from all combinations of canopy intrinsic variables. An inversion technique based on minimization of cost function was used to retrieve LAI from LUT and observed AWiFS surface reflectances. Two consecutive wheat growing seasons (November 2005–March 2006 and November 2006–March 2007) datasets were used in this study. The empirical models were developed from first season data and second growing season data used for validation. Among all the models, LAI-NDVI empirical model showed the least RMSE (root mean square error) of 0.54 and 0.51 in both agro-climatic regions respectively. The comparison of PROSAIL retrieved LAI with in situ measurements of 2006–2007 over the two agro-climatic regions produced substantially less RMSE of 0.34 and 0.41 having more R² of 0.91 and 0.95 for TGPR and CPHR respectively in comparison to empirical models. Moreover, CRT retrieved LAI had less value of errors in all the LAI classes contrary to empirical estimates. The PROSAIL based retrieval has potential for operational implementation to determine the regional crop LAI and can be extendible to other regions after rigorous validation exercise.     

南京市市区征地报批管理系统建设

征地报批工作是国土资源管理工作的重要组成部分,对合理利用土地,实施土地用途管制,保护耕地发挥着极其重要的作用。本文结合征地报批工作实际,阐述了南京市区征地报批管理系统建设的重要性和工作目标,介绍了系统总体设计、详细流程、数据内容、关键技术以及系统实现的功能、主要特点,并对未来的应用作出展望。     

中性大气掩星标准反演技术

结合JPL和GFZ的中性大气标准反演算法，发展了上海天文台中性大气掩星标准反演算法流程．对CHAMP观测资料进行中性大气反演，并将反演结果与ECMWF(the European Center for Medium Range Weather Forecasting)的预报大气数据进行比较．作为讨论，指出将来的发展方向．     

基于贝叶斯网络的Web访问模式挖掘模型系统

根据用户的访问记录,以及每次检索输入的关键词、用户的动作来动态更新用户的兴趣点.提出了一个能较好吻合这一思想的数据挖掘模型,以用户的停留时间、访问频率和用户输入的检索关键词为数据对象,进行用户兴趣分析,动态跟踪用户需求意向,简化检索过程,提高WEB资源的使用效率.     

Rapid screening of Zr-containing particles from Chang’e-5 lunar soil samples for isotope geochronology: Technical roadmap for future study

New samples returned by China Chang’e-5 (CE-5) mission offer an opportunity for studying the lunar geologic longevity, space weathering, and regolith evolution. The age determination of the CE-5 samples was among the first scientific questions to be answered. However, the precious samples, most in the micrometer size range, challenge many traditional analyses on large single crystals of zircon developed for massive bulk samples. Here, we developed a non-destructive rapid screening of individual zirconium-containing particle for isotope geochronology based on a Micro X-ray fluorescence analysis (µXRF). The selected particles were verified via scanning electron microscopy (SEM), 3D X-ray microscopy (XRM), and focused ion beam scanning electron microscopy (FIB-SEM) techniques, which showed that zirconium-bearing minerals with several microns were precisely positioned and readily suitable for site-specific isotopic dating by second ion mass spectrometry (SIMS). Such protocol could be also applicable in non-destructively screening other types of particles for different scientific purposes. We therefore proposed a correlative workflow for comprehensively studying the CE-5 lunar samples from single particles on nanometer to atomic scales. Linking various microscopic and spectromicroscopic instruments together, this workflow consists of six steps: (1) single-particle selection with non-destructive µXRF technique, (2) 2D/3D morphological and structural characterization with a correlative submicron 3D XRM and nanoscale resolution FIB-SEM imaging methods, (3) SEM analysis of the surface morphology and chemistry of the selected particle, (4) a series of microscopic and microbeam analyses (e.g., SEM, electron probe microanalysis, and SIMS) on the cross-section of the selected particle to obtain structural, mineralogical, chemical, and isotopic features from the micron to nanometer scale, (5) advanced 2D/3D characterization and site-specific sample preparation of thin foil/tip specimens on a microregion of interest in the selected particle with FIB-SEM technique, and (6) comprehensive analyses on the FIB-milled specimens at nanometer to atomic scale with synchrotron-based scanning transmission X-ray microscopy, analytic transmission electron microscopy, and atom probe tomography. Following this technical roadmap, one can integrate multiple modalities into a uniform frame of multimodal and multiscale correlated datasets to acquire high-throughput information on the limited or precious terrestrial and extraterrestrial samples.     

基于星载激光雷达ICESat-2的雪深监测方法研究

目前,被动微波数据是积雪深度反演的主要数据源,受其较粗空间分辨率的影响,反演雪深存在较大的不确定性。激光雷达由于其较高的测高精度,在雪深监测方面具有一定的潜力,基于星载激光雷达ICESat-2数据对北疆地区2018年10月至2019年9月积雪季的雪深进行了提取。由于很难获取ICESat-2轨迹点的雪深观测资料,因此首先利用地面雪深观测数据对目前流行的被动微波雪深反演产品进行验证,获取精度可靠的雪深产品并与发展的ICESat-2监测雪深数据产品进行对比。结果表明：AMSR2雪深产品在北疆地区误差较大,整体存在高估现象,中国雪深长时间序列雪深产品精度相对可靠,以作为对比ICESat-2模拟雪深的参考数据;ICESat-2雪深与中国雪深长时间序列雪深产品在空间上以及变化趋势方面吻合度较高,但ICESat-2雪深变化更加连续,说明ICESat-2激光雷达数据不但可以提取区域积雪的深度,对积雪深度的空间变化也比被动微波数据更加敏感,可以获取更加详细的积雪深度空间变化细节,为精细化的积雪深度空间分布提供数据支撑。     

REST架构与工作流技术在WebGIS中的应用——以渭河水环境管理办公平台为例

目前基于富网络应用的WebGIS平台已在多个领域得到了广泛的应用,但这些平台的地理事物多用户协同处理时效性不足,在地理业务流程中数据的共享与交互存在空间和时间上的限制。针对这一问题,本文提出了一种将REST(representational state transfer)架构与工作流技术应用到渭河水环境管理办公平台的解决方案。该方案利用ArcGIS Server中REST架构将空间操作返回的地图要素以字符串的形式表达以及工作流任务管理平台可传递字符串这一特点,对工作流任务管理应用进行二次开发,使其与ArcGIS Server REST架构结合,并应用于整个办公系统,以提高水环境管理中多用户协同工作的时效性,解决数据共享与数据交互的限制问题。从试验结果看,本文提出的方案与传统的水环境管理办公系统相比,该方案实现了多用户协同处理环境管理相关功能,降低数据互操作和数据共享等操作的时间和空间的限制,可有效增强WebGIS平台的办公能力,提高使用者工作效率。     

Kinematic features of a bow echo in southern China observed with doppler radar

A bow echo is a type of mesoscale convective phenomenon that often induces extreme weather and appears with strong reflectivity on radar images. A strong bow echo that developed from a supercell was observed over Foshan City in southern China on 17 April 2011. The intense gusty winds and showers caused huge losses of property and severely affected human lives. This paper presents an analysis of this strong meso- n-scale convective system based on Doppler radar observations. The isolated bow echo exhibited a horizontal scale of about 80 km in terms of reflectivity above 40 dBZ, and a life span of 8 hours. The system originated from the merging of a couple of weakly organized cells in a shear line, and developed into an arch shape as it moved through the shear zone. Sufficient surface moisture supply ensured the convective instability and development of the bow echo. The low-altitude winds retrieved from single Doppler radar observations showed an obvious rear-inflow jet along the notch area. Different from the conventional definition, no book- end anticyclone was observed throughout the life cycle. Very strong slantwise updrafts and downdrafts were recognizable from the retrieved winds, even though the spatial scale of the bow echo was small. Strong winds and induced damage on the surface are considered to have been caused by the mid-level rear-inflow jet and intense convective downdrafts.