The Soil Moisture and Net Primary Production Affected by CO_2 and Climate Change Using a Coupled Model

In this paper, a coupled model was used to estimate the responses of soil moisture and net primary production of vegetation （NPP） to increasing atmospheric CO2 concentration and climate change. The analysis uses three experiments simulated by the second-generation Earth System Model （CanESM2） of the Canadian Centre for Climate Modelling and Analysis （CCCma）, which are part of the phase 5 of the Coupled Model Intercomparison Project （CMIP5）. The authors focus on the magnitude and evolution of responses in soil moisture and NPP using simulations modeled by CanESM, in which the individual effects of increasing CO2 concentration and climate change and their combined effect are separately accounted for. When considering only the single effect of climate change, the soil moisture and NPP have a linear trend of 0.03 kg m^-2 yr^-1 and-0.14 gC m^- 2 yr^-2, respec- tively. However, such a reduction in the global NPP results from the decrease of NPP at lower latitudes and in the Southern Hemisphere, although increased NPP has been shown in high northern latitudes. The largest negative trend is located in the Amazon basin at -1.79 gC m^-2 yr^-2. For the individual effect of increasing CO2 concentration, both soil moisture and NPP show increases, with an elevated linear trend of 0.02 kg m^-2 yr^-1 and 0.84 gC m^-2 yr^-2, respectively. Most regions show an increasing NPP, except Alaska. For the combined effect of increasing atmospheric CO2 and climate change, the increased soil moisture and NPP exhibit a linear trend of 0.04 kg m^2 yr^-1 and 0.83 gC m^2 yr^-2 at a global scale. In the Amazon basin, the higher reduction in soil moisture is illustrated by the model, with a linear trend of-0.39 kg m^-2 yr^-1, for the combined effect. Such a change in soil moisture is caused by a weakened Walker circulation simulated by this coupled model, compared with the single effect of increasing CO2 concentration （experiment M2）, and a consequence of the reduction in NPP is also shown in this area, with a linear trend of-     

2013年12月广西一次暴雨落区变化原因分析

利用micaps常规观测资料和NCEP再分析资料,对2013年12月13日～17日广西出现持续性强降雨天气的物理量场的分析得出：强降雨主要是由低层切变线和南支槽共同作用引起,各层天气系统对每天强降雨的贡献不尽相同,第一天高空南支槽还比较浅薄,强降雨主要由低层切变线和超低空东南急流引起;第二、第三天强降雨则是由加深东移的南支槽和北抬又南压的低层切变线共同作用引起;第四天降雨中低层转北风,只有500hPa南支槽和700hPa切变线共同影响.     

资料均一化对沈阳站气温趋势和城市化偏差分析的影响

利用国家气象信息中心2013年发布的逐日均一化气温资料,对沈阳站资料均一化处理前后平均气温和极端气温指数序列的线性趋势及其城市化影响偏差进行了比较评价。结果表明:1)资料均一化处理对日最高气温及其衍生的极端气温指数序列趋势估计的影响较弱,但对日最低气温及其衍生的极端气温指数序列趋势估计具有显著影响。2)经资料均一化处理后,平均气温序列中的城市化影响偏差有所增大,平均最低气温序列中的城市化影响偏差增大尤其明显;与冷事件有关的极端气温指数序列的城市化影响偏差数值有所减小,与暖事件有关的极端气温指数序列的城市化影响偏差数值有所增加。3)资料均一化处理有效纠正了因迁站等原因造成的地面气温观测记录中的非均一性,但却在很大程度上还原了城市站地面气温观测记录中的城市化影响偏差。     

The distribution of chlorophyll a and its influencing factors in different regions of the Bering Sea

The distribution of chlorophyll a(Chl a) and its relationships with physical and chemical parameters in different regions of the Bering Sea were discussed in July 2010. The results showed the seawater column Chl a concentrations were 13.41–553.89 mg/m2 and the average value was 118.15 mg/m2 in the study areas. The horizontal distribution of Chl a varied remarkably from basin to shelf in the Bering Sea. The regional order of Chl a concentrations from low to high was basin, slope, outer shelf, inner shelf, and middle shelf. The vertical distribution of Chl a was grouped mainly from single-peak type in basin, slope, outer shelf, and middle shelf, where the deep Chl a maxima(DCM) layer was observed at 25–50 m, 30–35 m, 36–44 m, and 37–47 m, respectively. The vertical distribution of Chl a mainly had three basic patterns: standard single-peak type, surface maximum type, and bottom maximum type in the inner shelf. The analysis also showed that the transportation of ocean currents may control the distribution of Chl a, and the effects were not simple in the basin of the Bering Sea. There was a positive correlation between Chl a and temperature, but no significant correlation between Chl a and nutrients. The Bering Sea slope was an area deeply influenced by slope current. Silicate was the factor that controlled the distribution of Chl a within parts of the water in the slope. Light intensity was an important environmental factor in controlling seawater column Chl a in the shelf, where Chl a was limited by nitrate rather than phosphate within the upper water. Meanwhile, there was a positive relationship between Chl a and salinity. Algal blooms broke out at Sta. B6 of the southwestern St. Lawrence Island and Stas F6 and F11 in the middle of the Bering Strait.     

地形地貌发育时间与古地形反演

地形地貌是构造过程与地表过程等相互竞争的结果,古地形重建与地貌演化研究将有助于理解这些过程及其相互作用关系。传统的地形地貌演化研究多基于14 C、释光、磁性地层等定年手段,定性或半定量地分析构造活动与地表侵蚀对地形地貌发育的影响。随着相关技术手段的发展,低温热年代学方法已不仅仅局限于构造地质学领域的造山带构造-热演化历史研究,目前已用于重建地形地貌演化历史。基于这一背景,在概述低温热年代学基本原理的基础上,结合自己的研究,主要介绍了该方法在地形地貌发育时间、古地形反演等方面的研究进展以及研究中需要注意的一些问题。文章最后指出,寻求具有更低封闭温度的低温热年代学测年体系是这方面研究的努力方向。     

琼东南盆地深水区构造热演化特征及其影响因素分析

To reveal the tectonic thermal evolution and influence factors on the present heat flow distribution, based on 154 heat flow data, the present heat flow distribution features of the main tectonic units are first analyzed in detail, then the tectonic thermal evolution histories of 20 profiles are reestablished crossing the main deep-water sags with a structural, thermal and sedimentary coupled numerical model. On the basis of the present geothermal features, the Qiongdongnan Basin could be divided into three regions: the northern shelf and upper slope region with a heat flow of 50–70 m W/m2, most of the central depression zone of 70–85 m W/m2, and a NE trending high heat flow zone of 85–105 m W/m2 lying in the eastern basin. Numerical modeling shows that during the syn-rift phase, the heat flow increases generally with time, and is higher in basement high area than in its adjacent sags. At the end of the syn-rift phase, the heat flow in the deepwater sags was in a range of 60–85 m W/m2, while in the basement high area, it was in a range of 75–100 m W/m2. During the post-rift phase, the heat flow decreased gradually, and tended to be more uniform in the basement highs and sags. However, an extensive magmatism, which equivalently happened at around 5 Ma, has greatly increased the heat flow values, and the relict heat still contributes about 10–25 m W/m2 to the present surface heat flow in the central depression zone and the southern uplift zone. Further analyses suggested that the present high heat flow in the deep-water Qiongdongnan Basin is a combined result of the thermal anomaly in the upper mantle, highly thinning of the lithosphere, and the recent extensive magmatism. Other secondary factors might have affected the heat flow distribution features in some local regions. These factors include basement and seafloor topography, sediment heat generation, thermal blanketing, local magmatic injecting and hydrothermal activities related to faulting and overpressure.     

海冰对北极海冰边缘区大洋光学观测的影响评估

Diffuse attenuation coefficient(DAC) of sea water is an important parameter in ocean thermodynamics and biology, reflecting the absorption capability of sea water in different layers. In the Arctic Ocean, however, sea ice affects the radiance/irradiance measurements of upper ocean, which results in obvious errors in the DAC calculation. To better understand the impacts of sea ice on the ocean optics observations, a series of in situ experiments were carried out in the summer of 2009 in the southern Beaufort Sea. Observational results show that the profiles of spectral diffuse attenuation coefficients of seawater near ice cover within upper surface of 50 m were not contaminated by the sea ice with a solar zenith angle of 55°, relative azimuth angle of 110°≤φ≤115° and horizontal distance between the sensors and ice edge of greater than 25 m. Based on geometric optics theory, the impact of ice cover could be avoided by adjusting the relative solar azimuth angle in a particular distance between the instrument and ice. Under an overcast sky, ice cover being 25 m away from sensors did not affect the profiles of spectral DACs within the upper 50 m either. Moreover, reliable spectral DACs of seawater could be obtained with sensors completely covered by sea ice.     

长江口北支异常强盐水入侵观测与分析

长江口北支由于径流分流比很小,盐水入侵较强,特别是枯季大潮期盐水甚至倒灌进入南支,影响上海市和江苏省的水源地水质。为了进一步研究北支盐水入侵的规律及影响因素,2014年1月1-9日在北支进行了大小潮同步水文观测。本次观测到了北支异常强盐水入侵:小潮期发生强盐水入侵,且强度大于大潮期。小潮期强盐水入侵导致中下游河段被高浓度盐水控制,盐度从下游B01到中游B02几乎没有变化,且盐度的涨落潮变化几乎消失。分析认为,小潮观测期间长江入河口流量较小、河口潮差不是太小,加上强偏北风,三者的叠加是导致强盐水入侵的主要原因。     

历年影响广西沿海的热带气旋及其灾害成因分析(英文)

登陆或经过广西沿海的热带气旋是一种严重的自然灾害,每年热带气旋所伴随的大风、大雨、风暴潮等灾害造成沿海地区严重的财产损失或人员伤亡。通过对1950~2012年影响广西沿海的热带气旋的统计分析发现,影响广西沿海的热带气旋数量年际变化明显,最多的年份达9个,最少的年份为0个;热带气旋季节分布具有明显规律性,每年的7、8、9三个月为影响高峰月,其次为6、10月;热带气旋从菲律宾以东洋面进入南海后穿过海南省和雷州半岛再次登陆广西沿海的次数最多,该类热带气旋引起的风暴增水平均值为111.2 cm,到达非登陆台风增水的2.6倍。风暴潮灾害的形成与强台风天气系统、全日大潮、河流下泄洪水直接有关。强台风产生巨浪及降雨,使入海河口水位上升,与风暴潮叠加后产生明显的增水,造成巨大的潮灾。     

历年影响广西沿海的热带气旋及其灾害成因分析

通过对1950-2012年影响广西沿海的热带气旋的统计分析发现,影响广西沿海的热带气旋数量年际变化明显,最多的年份达9个,最少的年份为0个;热带气旋季节分布具有明显规律性,每年的7、8、9三个月为影响高峰月,其次为6、10月;热带气旋从菲律宾以东洋面进入南海后穿过海南省和雷州半岛再次登陆广西沿海的次数最多,该类热带气旋引起的风暴增水平均值为111.2 cm,到达非登陆台风增水的2.6倍。风暴潮灾害的形成与强台风天气系统、全日大潮、河流下泄洪水直接有关。强台风产生巨浪及降雨,使入海河口水位上升,与风暴潮叠加后产生明显的增水,造成巨大的潮灾。