Atmospheric radiative transfer simulation for atmospheric correction of remote sensing data

The radiance leaving the earth-atmosphere system which can be sensed by a satellite borne radiometer is the sum of radiation emission from the earth surface and each atmospheric level that are transmitted to the top of the atmosphere. The radiation emission from the earth surface and the radiance of each atmospheric level can be separated from the radiance at the top the atmospheric level measured by a satellite borne radiometer. However, it is very difficult to measure the atmospheric radiance, especially the synchronous measurement with the satellite. Thus some atmospheric radiative transfer models have been developed to provide many options for modeling atmospheric radiation transport, such as LOWTRAN, MODTRAN, 6S, FASCODE, LBLRTM, SHARC, and SAMM. Meanwhile, these models can support the detailed detector system design, the optimization and evaluation of satellite mission parameters, and the data processing procedures. As an example, the newly atmospheric radiative transfer models, MODTRAN will be compared with other models after the atmospheric radiative transfer is described. And the atmospheric radiative transfer simulation procedures and their applications to atmospheric transmittance, retrieval of atmospheric elements, and surface parameters, will also be presented.     

1998-2012年青藏高原TRMM 3B43降水数据的校准

运用1998-2012年青藏高原的TRMM 3B43降水数据以及气象台站实测降水数据,对比分析了青藏高原地区TRMM 3B43降水数据偏差分布规律。结果表明:(1) TRMM 3B43降水数据在青藏高原地区存在明显误差,特别是降水量大的地区和月份,偏差量较大。(2)青藏高原地区TRMM 3B43降水数据偏差分布与海拔、经纬度、降水量存在密切的关系。用偏差分布规律,加法修正法结合随机森林算法对青藏高原地区TRMM 3B43降水数据进行了校准。经过校准之后,数据精度得到显著提高,有效增加了数据的可用性,多年月平均数据决定系数R²最大可达到0.9(3、10月),最小也接近于0.5(12月),效率系数E均为正值,最大可达到90(3、10月);多年季平均和多年平均降水数据中除了第一季度结果稍差外(决定系数R²为0.58),其余数据校准效果均较好。     

CRInSAR与PSInSAR融合探测地表线性变形速率

提出利用CRInSAR与PSInSAR融合解算地表变形参数的算法。将CR点上获取的线性变形速率与高程改正结果作为PS基线网络的起算数据,依据最小二乘原理求解PS点上待求线性变形速率与高程改正值的最优解。这一算法可融合PSInSAR与CRInSAR两种算法的优势,起到很好的互补作用。实验显示,这一算法获取的线性变形速率精度可达±0.37 mm/a,高程改正值精度可达±0.5 m,证实该算法在实际地表变形监测中具备可行性。     

GPS授时地震仪走时误差校正

受制造成本和工艺的限制,GPS授时地震仪中的守时晶振不可避免地会有频率误差,继而在数据采集过程中,随着采集时间的增加,各台站之间会出现采集不同步现象。介绍了Akima分段多项式插值重采样方法及其在GPS授时地震仪时间校正中的应用。通过对理论数据与实际数据的Akima插值重采样试验表明,Akima插值重采样方法可应用于GPS授时地震仪走时误差校正,是一种简便、高效、保形性好的插值重采样方法。      

Time stability of spring and superconducting gravimeters through the analysis of very long gravity records

Long gravity records are of great interest when performing tidal analyses. Indeed, long series enable to separate contributions of near-frequency waves and also to detect low frequency signals (e.g. long period tides and polar motion). In addition to the length of the series, the quality of the data and the temporal stability of the noise are also very important. We study in detail some of the longest gravity records available in Europe: 3 data sets recorded with spring gravimeters in Black Forest Observatory (Germany, 1980–2012), Walferdange (Luxemburg, 1980–1995) and Potsdam (Germany, 1974–1998) and several superconducting gravimeters (SGs) data sets, with at least 9 years of continuous records, at different European GGP (Global Geodynamics Project) sites (Bad Homburg, Brussels, Medicina, Membach, Moxa, Vienna, Wettzell and Strasbourg). The stability of each instrument is investigated using the temporal variations of tidal parameters (amplitude factor and phase difference) for the main tidal waves (O1, K1, M2 and S2) as well as the M2/O1 factor ratio, the later being insensitive to the instrumental calibration. The long term stability of the tidal observations is also dependent on the stability of the scale factor of the relative gravimeters. Therefore we also check the time stability of the scale factor for the superconducting gravimeter C026 installed at the J9 Gravimetric Observatory of Strasbourg (France), using numerous calibration experiments carried out by co-located absolute gravimeter (AG) measurements during the last 15 years. The reproducibility of the scale factor and the achievable precision are investigated by comparing the results of different calibration campaigns. Finally we present a spectrum of the 25 years of SG records at J9 Observatory, with special attention to small amplitude tides in the semi-diurnal and diurnal bands, as well as to the low frequency part.     

EGNOS数据处理模型与实例

主要分析研究了EGNOS系统测试采用的误差修正模型和定位保护精度算法,并通过比较一次实测静态数据单点解算和差分解算的不同效果来说明误差模型的修正效果和保护精度算法的有效性。事实证明EGNOS系统数据处理采用的误差修正模型效果是明显的,采用的定位保护精度算法是有效的。     

FY-3A/MERSI, ocean color algorithm, products and demonstrative applications

A medium resolution spectral imager (MERSI) on-board the first spacecraft of the second generation of China’s polar-orbit meteorological satellites FY-3A, is a MODIS-like sensor with 20 bands covering visible to thermal infrared spectral region. FY-3A/MERSI is capable of making continuous global observations, and ocean color application is one of its main targets. The objective is to provide information about the ocean color products of FY-3A/MERSI, including sensor calibration, ocean color algorithms, ocean color products validation and applications. Although there is a visible on-board calibration device, it cannot realize the on-board absolute radiometric calibration in the reflective solar bands. A multisite vicarious calibration method is developed, and used for monitoring the in-flight response change and providing post-launch calibration coefficients updating. FY-3A/MERSI ocean color products consist of the water-leaving reflectance retrieved from an atmospheric correction algorithm, a chlorophyll a concentration (CHL1) and a pigment concentration (PIG1) from global empirical models, the chlorophyll a concentration (CHL2), a total suspended mater concentration (TSM) and the absorption coefficient of CDOM and NAP (YS443) from China’s regional empirical models. The atmospheric correction algorithm based on lookup tables and ocean color components concentration estimation models are described. By comparison with in situ data, the FY-3A/MERSI ocean color products have been validated and preliminary results are presented. Some successful ocean color applications such as algae bloom monitoring and coastal suspended sediment variation have demonstrated the usefulness of FY-3A/MERSI ocean color products.     

烟台海域海岛自动站大风对比试验

烟台北部面临黄、渤海,海岛自动站分布众多.我们发现,在同一大风过程中,各海岛自动站的风速、风向因为海拔高度、周围地形影响、下垫面摩擦的不同造成明显差异.本文主要以长岛作为渤海海峡大风的代表站,以崆峒岛和芝罘岛作为烟台北部沿海海域大风的代表站,利用便携自动站的观测数据近似代表海面大风的实况,与代表站进行大风的对比试验,对比试验的数据均采用指数廓线公式订正到海面10m高度.分析了三个海岛自动站的不同风向下的海面大风的实际代表性,并给出不同风向下的大风订正值.     

基于不等式约束的磁共振信号T2谱多指数分解法及算法改进

磁共振地下水探测信号的弛豫时间T₂和振幅与地下岩石孔隙大小和地下水的含水量直接相关。目前,磁共振地下水探测方法中,信号的衰减特性由平均弛豫时间T^*₂来描述。然而,对于复杂的多孔介质组成的岩石结构,仅由T^*₂无法准确描述地下孔隙情况。详细研究了基于不等式约束的多指数分解法,进行了信号T₂谱的提取,并重新计算多指数形式下的信号初始振幅。结果表明：对比信号在不同采集时间下的T₂谱提取结果,延长信号的采集时间有助于T₂谱的准确提取;通过磁共振仿真信号计算并分析不同信噪比下的T₂谱提取结果,信噪比大于30 dB时相对误差平均值小于5%;进行算法改进,得到信噪比大于10 dB时相对误差平均值小于5%的结果,且幅值和T₂的相对误差平均值降低了约1/3。由此可知:采用多指数分解法能够获得磁共振信号的T₂谱,正则化技术和加权修正能够提高T₂谱的准确度和抗干扰能力;与单指数方式相比,采用多指数拟合能够更准确地恢复信号初始振幅。     

水源热泵井回灌堵塞颗粒迁移模型的建立

以地下水源热泵井回灌中的物理堵塞问题作为研究背景,建立基于质量平衡方程来模拟多孔介质中颗粒的迁移方程和颗粒的沉积造成孔隙损伤的数学模型。该模型充分考虑了颗粒流动速度修正系数、孔隙率修正系数以及颗粒在孔隙里发生捕获率3个因素;模型的建立考虑孔隙率变化的情况,在物质的迁移和堵塞的过程中,孔隙率的变化往往也是个动态的变化过程;与传统的过滤模型相比,考虑了速度折减系数和流量折减系数后新建模型更加系统、全面。该模型为解决回灌井物理堵塞的室内外试验研究提供理论依据。