Evaluating the Performances of GAMIL1.0 and GAMIL2.0 during TWP-ICE with CAPT

CAPT(Climate Change Prediction Program and Atmospheric Radiation Measurement Program(CCPP-ARM) Parameterization Testbed) has been a valuable tool to assess climate models in recent years,and the Tropical Warm Pool-International Cloud Experiment(TWP-ICE) has collected comprehensive measurements to verify its physical parameterizations.The present study evaluates the performances of the two GAMIL(grid-point atmospheric model of IAP LASG) versions during TWP-ICE using CAPT.The results indicate that GAMIL2.0 reproduced better shifts of clouds and rainfall during three distinct monsoon phases than GAMIL1.0,although both of them simulated the large-scale dynamical states well,which are mainly attributable to the different convective parameterizations.     

监控视频中目标车辆速度被动式测量方法研究

对事先没有安置测速装置,事后仅通过监控视频进行处理的目标车辆速度被动式测量的方法进行相关研究。阐述被动式目标车辆速度测量的概念、基本原理;视频画面中点、线、面之间的关系;被动式目标车辆速度测量时方向与标定点的选择;不同监控点之间目标车辆的平均速度测量和同一监控点中目标车辆速度测量的方法等。     

基于三维激光扫描技术的矿山地形快速测量的关键技术研究

介绍利用三维激光测量技术进行矿山复杂地形测量的流程与方法,提出基于网格分块的激光点云数据非地面点的快速过滤方法,并详细介绍移动最小二乘法拟合地形表面的DEM方法和采用三次B样条曲线拟合地形等高线方法等关键技术。在此基础上,利用IDL语言编制基于激光点云数据的矿山测量快速出图软件LIDARVIEW。该软件具有激光点云快速处理(包括点云删除、过滤、合并和抽稀等)、地物快速绘制、DEM和等高线生成等功能。最后以实例说明如何利用三维激光扫描仪和LIDARVIEW软件实现矿山地形的快速测量与绘制,以得到矿山数字地形图、DEM数据和等高线等成果。     

基于SPOT 5图像的岩溶地貌单元自动提取方法

通过对峰林、峰丛和岩溶洼地3者的地理特征和影像特征的研究,基于遥感图像本底值提出了能有效反映目标特征的遥感指数——植被指数、土壤亮度指数、图像主成分变换第1主成分值及地形数据等,并构建了遥感指数的集成计算法,建立了遥感自动提取模型.指数集成运算法能够有效地增大峰丛、峰林与其他地物之间的光谱差异,使这些岩溶地貌单元的灰度值高于其他地物,从而利于岩溶地貌单元提取阈值的自动选取.基于构建的遥感自动提取模型先提取了峰丛、峰林信息,并在此基础上提取了岩溶洼地信息.经实验研究表明,该方法具有较高的提取精度和效率.     

3维直角坐标系直接转换算法的研究与实现

测绘工作中经常碰到3维直角坐标系的3维转换问题,本文通过简单的几何平移旋转缩放算法,对3维十六参数的直角坐标系变换,进行了理论描述和几何证明以及数据验证。     

琅岐闽江大桥测量坐标系统的建立与精度分析

介绍了琅岐闽江大桥的概况,阐述了大桥测量坐标系统建立的原理以及转换参数求解的方法,分析了转换参数的精度,结果证明完全满足设计和施工的要求。     

湖南6月区域持续性暴雨的强信号及预报概念模型

基于湖南汛期区域持续性暴雨典型环流分型,利用1961—2016年NCEP/NCAR再分析资料和异常度方法对湖南6月区域持续性暴雨环流型进行客观识别,并结合动力和水汽输送条件,确定湖南6月区域持续性暴雨强信号并客观量化表征,建立湖南6月区域持续性暴雨预报定量化概念模型。结果表明:43次历史区域持续性暴雨过程的回报准确率达到81%,2017—2018年3次区域持续暴雨过程试报准确率为2/3,说明该概念模型有一定预报能力,能为湖南暴雨预报业务服务提供技术支持。将该概念模型与各类模式预报产品相结合,还可开展区域持续性暴雨的中期和延伸期预报。     

A Note on Reviving the Goddard Satellite-Based Surface Turbulent Fluxes （GSSTF） Dataset

Accurate sea surface flux measurements are crucial for understanding the global water and energy cycles. The oceanic evaporation, which is a major component of the global oceanic fresh water flux, is useful for predicting oceanic circulation and transport. The global Goddard Satellite-based Surface Turbulent Fluxes Version-2 (GSSTF2; July 1987--December 2000) dateset that was officially released in 2001 has been widely used by scientific community for global energy and water cycle research, and regional and short period data analyses. We have recently been funded by NASA to resume processing the GSSTF dataset with an objective of continually producing a uniform dataset of sea surface turbulent fluxes, derived from remote sensing data. The dataset is to be reprocessed and brought up-to-date (GSSTF2b) using improved input datasets such as a recently upgraded NCEP/DOE sea surface temperature reanalysis, and an upgraded surface wind and microwave brightness temperature V6 dataset (Version 6) from the Special Sensor Microwave Imager (SSM/I) produced by Remote Sensing Systems (RSS). A second new product (GSSTF3) is further proposed with a finer temporal (12-h) and spatial (0.25^ox0.25^o) resolution. GSSTF2b (July 1987--December 2008) and GSSTF3 (July 1999--December 2009) will be released for the research community to use by late 2009 and early 2011, respectively.     

Modeling Methane Emissions from Paddy Rice Fields under Elevated Atmospheric Carbon Dioxide Conditions

Methane(CH4 ) emissions from paddy rice fields substantially contribute to the dramatic increase of this greenhouse gas in the atmosphere.Due to great concern about climate change,it is necessary to predict the effects of the dramatic increase in atmospheric carbon dioxide(CO2 ) on CH4 emissions from paddy rice fields.CH4MOD 1.0 is the most widely validated model for simulating CH4 emissions from paddy rice fields exposed to ambient CO2(hereinafter referred to as aCO2 ).We upgraded the model to CH4MOD 2.0 b...     

Development Processes of the Tropical Pacific Meridional Mode

Mechanisms for the spatio-temporal development of the Tropical Pacific Meridional Mode(TPMM) are investigated using a coupled ocean-atmosphere model and observations.In both observations and the model,this meridional mode displays decadal variations and is most pronounced in spring and early summer.The model simulation suggests that once SST anomalies in the subtropical northeastern Pacific are initiated,say by northeasterly trade wind variability,perturbations evolve into a merdional dipole in 2-3 months.A...