商业平板式超滤膜包完整性检验：对海洋胶体生物地球化学研究的启示

The performance and integrity of a cassette cross-flow ultrafilter(Pellicon 2, Millipore) are examined with a suite of macromolecules of different molecular masses. The retention coefficient during the cross-flow ultrafiltration experiments increases with increasing molecular mass and reaches 90% with 10 kDa dextran in both milli-Q water and ultrafiltered seawater media. Based on a 90% retention coefficient, the molecular mass cut-off for the ultrafiltration membrane is defined at 10 kDa, which is ten times(1 kDa) that rated by the manufacturer. To further validate the accuracy of the laboratory calibration, the samples from the lower Zhujiang River and the Jiulong River Estuary are ultrafiltered with the cassette ultrafiltration membrane and the colloidal organic carbon abundances in these samples are quantified with the ultrafiltration permeation model based on time series permeation subsamples. The colloidal organic carbon abundances are 5.8%–21.1% in the Jiulong River Estuary and 5.6%–11.0% in the lower Zhujiang River. These are consistent with the reported values for both estuaries as well as with the colloidal organic carbon abundances in marine environments over the coastal and open oceans with 10 kDa cut-off membranes. Therefore, these field data support the laboratory calibration result and indicate the validity of the experimental and quantification procedure adopted. The discrepancy between the nominal molecular mass cut-off and the actual pore size of the ultrafiltration membrane should be of great concern for research in colloidal and nanoparticle biogeochemistry. Careful examination of the membrane integrity should be taken during ultrafiltration experiments in order to avoid misleading molecular mass cut-off information.     

浙江省雷电灾害易损性分析及风险区划

根据 2007-2011 年浙江省雷电灾害事故调查资料、浙江省地闪监测资料,选取地闪密度、灾害频数、经济（GDP）损失模数、生命易损模数、雷灾经济损失、人员伤亡等作为浙江省各市雷电灾害易损性评估指标,对浙江省各市进行雷电灾害易损性综合评估,并结合 GIS 方法对浙江省进行了雷电灾害易损性风险区划,为有针对性做好防御雷电灾害规划提供科学依据.     

大量气象数据小文件自适应优化传输

为满足气象实时资料传输中大量气象数据小文件的高时效传输需求,对其中的数据传输服务进行优化,提出一种基于实时网络状况的自适应数据传输优化方法。该方法采用优化网络传输协议并使用文件压缩技术,通过获取网络传输线路上的实时参数,实时调整压缩参数和网络传输参数以优化传输性能。在自适应压缩时,通过试验分析和归纳,确立了气象数据小文件标准为文件小于50 KB;根据网络实时状况,设计了基于实时网络状况自适应调整压缩等级的算法。在自适应传输参数调优中,研究了TCP缓冲区大小和TCP并发连接数在GridFTP协议中的重要性,针对实时网络状况,分别设计了自适应调整TCP缓冲区大小和TCP并发连接数的算法,算法提升传输性能65%。对以上提出各自适应参数调整算法进行试验验证表明,融合压缩和网络传输的自适应调优方法能显著提升气象小数据文件的传输性能近500倍。     

LiDAR点云数据的电力线3维重建

利用LiDAR数据进行电力设施提取与建模可以克服传统工程测量电力巡线工作量大,危险性高,效率低下等缺点,但现有的电力线提取研究主要集中在电力线的分离与提取,并且拟合的精度不高。针对此问题本文提出了一种精度较高的电力线拟合方法。首先,根据电力线两端悬挂、中间自然下垂的特点,求解电力线拟合的最佳几何模型;然后,通过电力线的走向和端点,建立电力线拟合的最佳平面坐标系;最后,采用基于二次多项式限制的最小二乘法拟合电力线,解算出最优参数,生成最终电力线模型。对真实数据的处理和精度评价表明,本文方法不仅能够实现电力线的快速3维重建,而且能够达到较高的拟合精度。     

An Overview of BCC Climate System Model Development and Application for Climate Change Studies

This paper reviews recent progress in the development of the Beijing Climate Center Climate System Model(BCC-CSM) and its four component models(atmosphere,land surface,ocean,and sea ice).Two recent versions are described:BCC-CSM1.1 with coarse resolution(approximately 2.8125°×2.8125°) and BCC-CSM1.1(m) with moderate resolution(approximately 1.125°×1.125°).Both versions are fully coupled climate-carbon cycle models that simulate the global terrestrial and oceanic carbon cycles and include dynamic vegetation.Both models well simulate the concentration and temporal evolution of atmospheric CO_2 during the 20th century with anthropogenic CO2 emissions prescribed.Simulations using these two versions of the BCC-CSM model have been contributed to the Coupled Model Intercomparison Project phase five(CMIP5) in support of the Intergovernmental Panel on Climate Change(IPCC) Fifth Assessment Report(AR5).These simulations are available for use by both national and international communities for investigating global climate change and for future climate projections.Simulations of the 20th century climate using BCC-CSMl.l and BCC-CSMl.l(m) are presented and validated,with particular focus on the spatial pattern and seasonal evolution of precipitation and surface air temperature on global and continental scales.Simulations of climate during the last millennium and projections of climate change during the next century are also presented and discussed.Both BCC-CSMl.l and BCC-CSMl.l(m) perform well when compared with other CMIP5 models.Preliminary analyses indicate that the higher resolution in BCC-CSM1.1(m) improves the simulation of mean climate relative to BCC-CSMl.l,particularly on regional scales.     

Present and projected degree days in China from observation,reanalysis and simulations

Degree days are usually defined as the accumulated daily mean temperature varying with the base temperature, and are one of the most important indicators of climate changes. In this study, the present-day and projected changes of four degree days indices from daily mean surface air temperature output simulated by Max Planck Institute, Earth Systems Model of low resolution (MPI-ESM-LR) model are evaluated with the high resolution gridded-observation dataset and two modern reanalyses in China. During 1979–2005, the heating degree days (HDD) and the numbers of HDD (NHDD) have decreased for observation, reanalyses (ERA-Interim and NCEP/NCAR) and model simulations (historical and decadal experiments), consistent with the increasing cooling degree days (CDD) and the numbers of CDD (NCDD). These changes reflect the general warming in China during the past decades. In most cases, ERA-Interim is closer to observation than NCEP/NCAR and model simulations. There are discrepancies between observation, reanalyses and model simulations in the spatial patterns and regional means. The decadal hindcast/forecast simulation performance of MPI-ESM-LR produce warmer than the observed mean temperature in China during the entire period, and the hindcasts forecast a trend lower than the observed. Under different representative concentration pathway (RCP) emissions scenarios, HDD and NHDD show significant decreases, and CDD and NCDD consistently increase during 2006–2100 under RCP8.5, RCP4.5 and RCP2.6, especially before the mid-21 century. More pronounced changes occur under RCP8.5, which is associated with a high rate of radiative forcing. The 20th century runs reflect the sensitivity to the initial conditions, and the uncertainties in terms of the inter-ensemble are small, whereas the long-term trend is well represented with no differences among ensembles.     

基于GPS垂向位移测定云南地区陆地水储量及其对累积降雨的响应机制

本文基于中国大陆构造环境监测网（陆态网）GPS台站垂向形变数据,通过主成分分析计算云南省6大流域陆地水负荷形变,并与降雨数据进行相关性分析和交叉小波分析。结果表明,云南省各流域陆地水储量变化相对于降雨在半年和年周期上分别存在1.5~2.25和3~6个月的滞后,不同周期滞后的叠加使陆地水储量与累积降雨量之间存在显著的负相关性,6大流域的降雨累积天数各不相同,均在47~109 d之间。本文由此提出一种云南地区陆地水储量对累积降雨的响应机制。     

阶段模型修正的星载GNSS-R土壤湿度反演方法EI北大核心CSCD

本文提出了一种基于CYGNSS数据的星载GNSS-R土壤湿度反演方法。首先,基于CYGNSS数据提取地表反射率参数,联合SMAP数据中提取的植被光学厚度、地表粗糙度和温度等辅助信息,初步构建了土壤湿度反演理论模型,并利用神经网络模型确定了土壤湿度反演的精细数学模型;然后,将该模型处理获得的土壤湿度以35%为分界点,利用本文提出的阶段函数模型提高反演精度,并使用2018年10月—2019年5月的CYGNSS数据,获得了全球范围内星载GNSS-R土壤湿度;最后,通过与SMAP提供的土壤湿度数据进行对比,评估了本文提出的星载GNSS-R土壤湿度反演方法的有效性,并对获取的星载GNSS-R土壤湿度进行了时间序列分析。结果表明,本文提出的土壤湿度反演方法的结果与SMAP土壤湿度具有良好的一致性,且随时间变化的趋势也相符合,为高精度土壤湿度反演提供了一种思路。