2001年春季中国北方沙尘暴的环流动力结构分析

通过对2001年春季中国北方5次沙尘暴的高度场，涡度场，散度场和风场的分析，研究了沙尘暴强盛期的环流动力结构。结果表明，在5次沙尘暴强盛期有相似的环流动力结构特征。在沙尘暴强盛期的高度场上，蒙古国有深厚的低值系统，乌拉尔高压发展，其间的强气压梯度是沙尘暴的动力源；低值系统有正涡度中心支持，外围是负涡度区，其间有强涡度梯度带；低值中心伴随有低层辐合高层辐散的垂直结构，易于发生近地面大风和上升气流，有利于地面起沙上扬，形成沙尘暴，大风区与强涡度梯度带一致，强风带切变形成的涡度输送有利于加强低值系统，进而增强风场。     

我国氨的排放量和时空分布

根据我国的实际情况讨论了各种氨排放源的排放因子，计算了各种氨源的贡献，以动物的贡献最大，占52%。1993 年我国氨的排放量为12 Mt，排放量最大的是河南、山东和四川，排放密度最大的是上海。在北京、广西、广东、湖南、江西和山东测定了大气氨的浓度，北京大气氨浓度有明显的季节变化，春季平均为16 μg/m3，夏季最高为41μg/m3，冬季只有3.2 μg/m3。一般夜间氨的浓度高于白天。测定了氨的垂直分布，并计算了氨浓度的标高。     

RTK在大比例尺地形图航测数字化测图中的应用

结合某开发区1：2000地形图航测数字化测图工程，探讨了采用GPSRTK的自由基站二步法拟合方式测量航外像控点（平高点），实施大比例尺地形图野外检测的可行性。对比测量实验表明，该方式在像控点要求的特定位置不仅能保证平面精度，也可以保证高程精度；与常规的RTK相比，该方式具有基站设置位置灵活、不需单独提前解算基准转换参数，以及显著提高工效等优点。     

基于北京一号卫星影像的建筑阴影测量建筑高度的应用研究

在分析遥感影像建筑物阴影与实际高度关系的基础上,阐述了依据影像阴影估算城市建筑物高度的原理和方法,设计了一种基于影像建筑物阴影特征快速提取高程信息的技术方法。在使用北京一号影像数据的试验中,70%的有阴影楼房测量误差在4米以内。     

中国近海及邻近海域高精度高分辨率海面高的确定

利用新的海潮模型(NAO99B)更为合理的共线方法和交叠平差技术,有效改善了ERM数据的径向轨道误差和时变海面高的影响,提高了浅海海域测高数据的测高精度。     

GPS高程拟合技术在兵团新建58团1/1万航测外业中的应用

介绍了用GPS定位技术在兵团农三师新建58团1/1万航测地形图测绘外业像控点高程拟合精度,经实地用水准仪采用几何测量检查GPS拟合点的高程,证明GPS高程拟合精度与已如点的数量、精度和位置有关,其中已知点的分布对其影响最大,对于一定面积的小比例尺的航外像控测量,当已知点均匀分布于整个测区时,GPS拟合的高程可满足像控点精度要求。     

利用FY-3C卫星GNSS掩星数据分析中国区域对流层顶参数变化

使用FY-3C气象卫星GNSS掩星数据反演得到2017-03-01～2018-02-28大气温度廓线,并估计对流层顶高度变化;然后利用探空气球数据和ERA5模型数据进行验证;最后以2°×2°的空间分辨率将中国区域划分为608个网格,针对每一个单元格,分别计算对流层顶参数,建立格网模型,分析中国区域对流层顶参数的时空分布...     

Quantitative estimation of submarine groundwater discharge using airborne thermal infrared data acquired at two different tidal heights

Submarine groundwater discharge (SGD) plays an important role in coastal biogeochemical processes and hydrological cycles, particularly off volcanic islands in oligotrophic oceans. However, the spatial and temporal variations of SGD are still poorly understood owing to difficulty in taking rapid SGD measurements over a large scale. In this study, we used four airborne thermal infrared surveys (twice each during high and low tides) to quantify the spatiotemporal variations of SGD over the entire coast of Jeju Island, Korea. On the basis of an analytical model, we found a linear positive correlation between the thermal anomaly and squares of the groundwater discharge velocity and a negative exponential correlation between the anomaly and water depth (including tide height and bathymetry). We then derived a new equation for quantitatively estimating the SGD flow rates from thermal anomalies acquired at two different tide heights. The proposed method was validated with the measured SGD flow rates using a current meter at Gongcheonpo Beach. We believe that the method can be effectively applied for rapid estimation of SGD over coastal areas, where fresh groundwater discharge is significant, using airborne thermal infrared surveys.     

极化干涉SAR森林树高提取算法的对比分析

在对极化干涉SAR森林树高反演的DEM差值算法、相干相位-幅度综合反演算法进行分析的基础上,对基于极化干涉相干优化方法的改进算法进行了探讨。利用黑龙江大兴安岭地区的一对ALOS全极化干涉SAR数据进行实验,并对比分析各算法的反演结果。结果表明,在使用改进的算法进行森林树高反演时可以获取精度较高的反演结果,并且在一定程度上提高了森林树高反演的稳定性,为森林树高反演工作的业务化运行提供一定的依据。     

Verification and Correction of Cloud Base and Top Height Retrievals from Ka–band Cloud Radar in Boseong,Korea

In this study,cloud base height(CBH) and cloud top height(CTH) observed by the Ka-band(33.44 GHz) cloud radar at the Boseong National Center for Intensive Observation of Severe Weather during fall 2013(September-November) were verified and corrected.For comparative verification,CBH and CTH were obtained using a ceilometer(CL51) and the Communication,Ocean and Meteorological Satellite(COMS).During rainfall,the CBH and CTH observed by the cloud radar were lower than observed by the ceilometer and COMS because of signal attenuation due to raindrops,and this difference increased with rainfall intensity.During dry periods,however,the CBH and CTH observed by the cloud radar,ceilometer,and COMS were similar.Thin and low-density clouds were observed more effectively by the cloud radar compared with the ceilometer and COMS.In cases of rainfall or missing cloud radar data,the ceilometer and COMS data were proven effective in correcting or compensating the cloud radar data.These corrected cloud data were used to classify cloud types,which revealed that low clouds occurred most frequently.