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Imagine the open ocean as a microbial megacity, teeming with life too small to be seen. In every drop of water, hundreds of types of bacteria can be found. Now scientists have discovered that communi...
2013年11月15日,《China Daily》以“Ancient microcontinent discovered”为题报道了我校Santonsh教授及其合作者在《冈瓦那研究》期刊上发表的相关研究成果。Santonsh教授及其合作者——我校博士生阳琼艳、印度喀拉拉大学Shaji博士、日本筑波大学Tsunogae教授以及印度国家地球物理研究所Mohan博士和Satyanrayanan,近期在高...
We present results from daily radio continuum observations of the Bootes field as part of the Pi GHz Sky Survey (PiGSS). These results are part of a systematic and unbiased campaign to characterize va...
A Point-Over-Threshold approach using a reparameterization of the Generalized Pareto Distribution (GPD) has been used to assess changes in the daily rainfall Barcelona series (1854–2006). A Bayesian a...
Vertical distribution and abundance of three numerically dominant krill species (Nyctiphanes simplex, Nematoscelis difficilis, and Euphausia eximia) were surveyed in the Gulf of California to underst...
Adequate knowledge of the nature of river flow process is crucial for proper planning and management of our water resources and environment. This study attempts to detect the salient characteristics o...
To investigate the character of daily rainfall variability under present and future climate described via global warming a suite of diagnostic statistics was used. The rainfall was modeled as a stocha...
The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\nu_{\alpha}^+$, where $T_{\alpha} =1/\nu_{\alpha}^+ $ is the a...
The Chinese Loess Plateau is located in the north of China and has a significant impact on the climate and ecosystem evolvement over the East Asian continent. Estimates of evapotranspiration (ET) at a...
We investigated the usability of the method of local linear models (LLM), multilayer perceptron neural network (MLP NN) and radial basis function neural network (RBF NN) for the construction of tempor...
We quantify the long-term predictability of global mean daily temperature data by means of the Rényi entropy of second order K2. We are interested in the yearly amplitude fluctuations of the temperatu...
Complexity and predictability of daily precipitation in a tropical semi-arid region (Ceará State, Brazil) is assessed by applying entropy concepts. Precipitation regimes in that region depend on sever...
We present a near global statistics on the correlation properties of daily temperature records. Data from terrestrial meteorological stations in the Global Daily Climatology Network are analyzed by me...
The complexity of the daily pluviometric regime of the Iberian Peninsula is analysed from the point of view of its lacunarity, predictability and predictive instability. The database consists of daily...
A digital model has been devcloped for the simulation of the rainfall - runoff process of rural watersheds. Input data are daily values of prccipitation and temperature together with mean monthly po...

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