Retrieving multi-scale climatic variations from high dimensional time-series MODIS green vegetation cover in a tropical/subtropical mountainous island

【Title】
There are knowledge gaps in our understanding of vegetation responses to multi-scale climate-related variables in tropical/subtropical mountainous islands in the Asia-Pacific region. Therefore, this study investigated inter-annual vegetation dynamics and regular/irregular climate patterns in Taiwan. We applied principal component analysis （PCA） on 11 years （2001~2011） of high-dimensional monthly photosynthetically active vegetation cover （PV） derived from the Moderate Resolution Imaging Spectroradiometer （MODIS） and investigated the relationships between spatiotemporal patterns of the eigenvectors and loadings of each component through time and multi-scale climate-related variations. Results showed that the first five components contributed to 96.4% of the total variance. The first component （PC1, explaining 94.5% of variance） loadings, as expected, were significantly correlated with the temporal dynamics of the PV （r = 0.94）, which was mainly governed by regional climate. The temporal loadings of PC2 and PC3 （0.8% and 0.6% of variance, respectively） were significantly correlated with the temporal dynamics of the PV of forests （r = 0.72） and the farmlands （r = 0.80）, respectively. The low-order components （PC4 and PC5, 0.3% and 0.2% of variance, respectively） were closely related to the occurrence of drought （r = 0.49） and to irregular ENSO associated climate anomalies （r = -0.54）, respectively. Pronounced correlations were also observed between PC5 and the Southern Oscillation Index （SOI） with one to three months of time lags （r = -0.35 ~ -0.43, respectively）, revealing biophysical memory effects on the time-series pattern of the vegetation through ENSO-related rainfall patterns. Our findings reveal that the sensitivity of the ecosystems in this tropical/subtropical mountainous island may not only be regulated by regional climate and human activities but also be susceptible to large-scale climate anomalies which are crucial and comparable to previous large scale analyses. This study demonstrates that PCA can be an effective tool for analyzing seasonal and inter-annual variability of vegetation dynamics across this tropical/subtropical mountainous islandin the Pacific Ocean, which provides an opportunity to forecast the responses and feedbacks of terrestrial environments to future climate scenarios.     

厄尔尼诺和反厄尔尼诺事件与西北太平洋台风活动

用统计相关和典型年合成方法分析了厄尔尼诺和反厄尔尼诺事件与西北太平洋台风活动的关系，指出厄尔尼诺年台风活动减少，反厄尔尼诺年台风活动增加，而且台风活动与厄尔尼诺、反厄尔尼诺事件起始和终止时间、强度、台风生成区域有关。利用厄尔尼诺和反厄尔尼诺年台风活动频数的统计特征，及台风频数与海温等要素的时滞相关关系，为台风频数的预测提供了有益的信息。还应用奇异值分解方法，分析了高度场和海温场的相关关系。结果表明，厄尔尼诺年海气耦合作用将造成不利于台风发展的环流条件，因此台风偏少，反厄尔尼诺年则出现相反的情况。     

2021年山东夏季降水异常特征及成因分析

基于NCEP再分析资料和山东省122个国家地面观测站数据,对2021年山东夏季降水异常特征及成因进行研究。2021年夏季山东平均降水量较常年偏多25.3%,降雨过程较多,其中,6月降水偏多主要是由于西太平洋副热带高压（以下简称:副高）北抬造成;7月中旬降水偏多主要是由于副高强度偏强,副高边缘暖湿气流为山东降水提供了充足水汽,下旬降水偏多是由于台风“烟花”带来强降水;8月降水偏多主要是下旬副高强度偏强,水汽输送充沛造成的。此外,2021年夏季山东降水空间分布不均匀,呈西多东少的空间分布。进一步分析了近3次拉尼娜事件发现,夏季副高强度偏强是造成近3个拉尼娜衰减年夏季山东降水空间分布异常的主要原因。夏季副高强度是拉尼娜次年山东夏季降水的重要预测因子。     

中国登陆热带气旋与太平洋海表温度的关系

根据1951～2000年中国登陆热带气旋与厄尔尼诺年、拉尼娜年的关系分析,得到了一些重要认识：(1) 在厄尔尼诺年,中国登陆热带气旋数偏少;(2) 厄尔尼诺事件强度越大,中国登陆热带气旋数越少;(3) 厄尔尼诺事件的结束时间若超过5月1日,那么次年中国登陆热带气旋数偏少;(4) 中国登陆热带气旋数的特多年主要集中在拉尼娜年;(5) 在拉尼娜次年,中国登陆热带气旋数偏少;(6) 中国登陆热带气旋强度越大,在厄尔尼诺年出现机会越少;(7) 在厄尔尼诺年,中国初旋偏迟,终旋偏早。同时对其机理进行了探讨。     

The impact of ecosystem functional type changes on the La Plata Basin climate

In this paper, the effects of land cover changes on the climate of the La Plata Basin in southern South America are investigated using the Weather and Research Forecasting (WRF) Model configured on a 30/10km two-way interactive nested grid. To assess the regional climate changes resulting from land surface changes, the standard land cover types are replaced by time-varying Ecosystem Functional Types (EFTs), which is a newly devised land-cover classification that characterizes the spatial and interannual variability of surface vegetation dynamics. These variations indicate that natural and anthropogenic activities have caused changes in the surface physical parameters of the basin, such as albedo and roughness length, that contributed to regional climate changes. EFTs are obtained from functional attributes of vegetation computed from properties of the Normalized Difference Vegetation Index (NDVI) to represent patches of the land surface with homogeneous energy and gas exchanges with the atmosphere. Four simulations are conducted, each experimental period ranging from September to November in two contrasting years, 1988 and 1998. The influence of an identical EFT change on the surface heat fluxes, 2-m temperature and humidity, 10-m winds, convective instabilities and large-scale moisture fluxes and precipitation are explored for 1988 (a dry year) and 1998 (a wet year). Results show that the surface and atmospheric climate has a larger response to the same EFT changes in a dry year for 2-m temperature and 10-m wind; the response is larger in a wet year for 2-m water vapor mixing ratio, convective available potential energy, vertically integrated moisture fluxes and surface precipitation. For EFTs with high productivity and a weak seasonal cycle, the nearsurface temperature during the spring of 1988 and 1998 increased by as much as 1℃ in the central and western portions of La Plata Basin. Additionally, for higher productivity EFTs, precipitation differences were generally positive in both dry and wet years, although the patterns are not uniform and exhibit certain patchiness with drier conditions.     

云南省者竜—嘎洒地区Cr、Ni地球化学特征及土壤污染风险防控建议

依据云南省者奄—嘎洒地区土地质量地球化学调查数据,研究了表层土壤中Cr、Ni地球化学特征及主要影响因素,分析了农产品Cr、Ni含量特征.结果 表明,研究区表层土壤中Cr、Ni含量受控于地质背景,光山—和平丫口岩体(σ)发育的土壤中Cr、Ni含量明显高于其他地层发育的土壤;不同类型土壤中Cr、Ni含量差异较大,且土地利用...     

Constructing regional advantage in non-metropolitan regions: A comparison between La Pocatière (Canada) and Tromsø (Norway)

The construction of regional advantage has recently been emphasized by scholars as a new way of increasing firms’ competitiveness in a globalizing and learning economy. This article compares the construction of regional advantage and the development paths of specific industries in two different types of non-metropolitan regions, La Pocatière in Canada and Tromsø in Norway. The authors observe a higher level of industrial dynamism in La Pocatière than in Tromsø. They find four explanations for this variation: (1) a narrower regional innovation system (RIS) in Tromsø; (2) the fact that the target industry in Tromsø (marine biotechnology) is, in general, more difficult to develop outside metropolitan regions than the diverse mechanical engineering industry found in La Pocatière; (3) a biased focus on the development of research-based knowledge and academic spin-offs in Tromsø compared with a more varied set of strategies used in La Pocatière; and (4) La Pocatière's location in proximity to the Quebec metropolitan region.     

中条山西南段与变基性岩有关的铜矿地质特征及成因浅析

与变基性岩有关的铜矿 ,是在中条山西南段新发现的一种新的铜矿类型 ,其形成是在原始基性岩浆侵入或喷发作用形成的矿源岩或矿化体基础上 ,经过区域变质和印支 -燕山期构造 -岩浆热液的改造加富而成 ,其成因应属与变基性岩有关的变质 -热液改造型铜 (镍、铁 )矿床。     

全球N-MORB和E-MORB分类方案对比

N-MORB与E-MORB是大洋中脊玄武岩常用的分类,二者地球动力学意义不同,备受学术界关注。对于N-MORB与E-MORB的分类识别标志,不同作者有不同的见解。MORB中可以根据Rb/Nd≤0.15、K/Ti≤0.11、(La/Sm)_N≤0.8、K_2O/TiO_20.09、ΔNb=1.74+lg(Nb/Y)-1.92lg(Zr/Y)0、(La/Sm)_N1、100K_2O/TiO_2≤13等7种指标来识别N-MORB,否则为E-MORB。究竟何种标志区分效果较好、比较适合大多数MORB的情况?学术界对此还较少有人讨论。为此,本文尝试利用大数据方法,采用全球全体扩张中心数据,对上述7种标志进行对比,发现(La/Sm)_N1的标志比较适合大多数MORB的情况。为此,我们将(La/Sm)_N1和(La/Sm)_N≥1的所有数据,选取La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Ba、Cs、Hf、K、Nb、Pb、Rb、Sc、Sr、Ta、Th、Ti、Tl、U、V、Y、Zr等31个元素,利用两两元素对数比值进行投图,并计算85%置信度的置信椭圆交叠率,共得出36856个元素对组合,根据最小交叠率的原则,得出使用稀土元素La、Ce、Pr、Sm和其他高场强元素Nb、Zr、Hf、Y之间的比值关系判别效果较好。我们又利用以上得出的8种元素进行投图判定,发现以La为分子或以La/Hf、La/Zr元素比值做为区分标志可以得出更好的结果。因此建议考虑应用以上元素之间的相关关系共同判定N-MORB与E-MORB。     

不同强度El Ni(n)o的衰减过程.Ⅰ,强El Ni(n)o的衰减过程

将1951～2004年期间的12次El Nino事件分为强、中等、较弱和弱4类,结果发现,强和较弱El Nino衰减进入La Nina,但是中等和弱El Nino衰减进入平常态.因此,El Nino的衰减结果与自身强度之间存在密切的非线性关系.进一步的研究表明,负异常信号自西太平洋向中东太平洋的东传主导了强El Nino事件向La Nina的转变过程,其具体动力过程类似于西太平洋振子理论.热带西北太平洋（WNP）大气异常反气旋在强El Nino位相转变中起核心作用,它的维持和缓慢东移是赤道东风异常维持和发展的原因,而后者通过激发Kelvin波导致了ENSO从El Nino向La Nina的转变.