Article
Geosciences, Multidisciplinary
Wenyu Zhao, Cuicui Mu, Li Han, Wen Sun, Yanhua Sun, Tingjun Zhang
Summary: Based on a study of 6,954 snow sites in the Northern Hemisphere, it was found that snow density exhibits significant spatial heterogeneity, with contrasting densities among different snow classes. Snow density is influenced by climate factors such as precipitation, air temperature, aridity index, and wind speed. These findings contribute to a better understanding of the distribution of snow density at a hemispherical scale and provide fundamental data for remote sensing of snow water equivalent and parameterization of snow models.
Article
Psychology, Multidisciplinary
Christoph Koenig
Summary: The study aims to provide a new method for weighting informative prior distributions in Bayesian multiple regression models by combining sources of heterogeneity and a similarity measure ω. Through a comprehensive simulation study, the performance and behavior of the similarity-weighted informative prior distribution are investigated and compared to existing methods. The results offer applied researchers a means to specify accurate informative prior distributions.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Environmental Sciences
Wenyu Zhao, Cuicui Mu, Xiaodong Wu, Xinyue Zhong, Xiaoqing Peng, Yijing Liu, Yanhua Sun, Benben Liang, Tingjun Zhang
Summary: Through analyzing data from the past 70 years, we found significant differences in snow density between the Tibet Plateau and the Arctic. The average snow density in the Arctic is 1.6 times higher than that in the Tibet Plateau, and it increases gradually over time. The snow cover in the two regions also differs, with the Arctic having a longer and deeper snow cover, while the Tibet Plateau has mainly seasonal snow cover with a shallower snow layer.
Article
Environmental Sciences
Octavio Murillo, Pablo A. Mendoza, Nicolas Vasquez, Naoki Mizukami, Alvaro Ayala
Summary: The implementation of elevation bands has implications for snowpack modeling, particularly in terms of precipitation distribution, snowmelt, sublimation, and snow water equivalent. These implications may vary with climate conditions and vertical discretization.
WATER RESOURCES RESEARCH
(2022)
Article
Physics, Multidisciplinary
Pablo Villegas, Tommaso Gili, Guido Caldarelli, Andrea Gabrielli
Summary: The renormalization group has been widely used in the study of universality and phase transitions in dynamical systems. However, its application to complex networks has been challenging due to the correlations between different scales. In this study, a Laplacian renormalization group diffusion-based approach is proposed for complex networks, which can identify proper spatiotemporal scales in heterogeneous networks.
Article
Mechanics
Tie Wei, Daniel Livescu
Summary: The proper scaling for the mean transverse flow and Reynolds shear stress in a turbulent plane jet was determined using a scaling patch approach. The developed approximation functions for the scaled mean transverse flow and Reynolds shear stress were found to agree well with experimental and numerical data. Similarities and differences between the scales of the mean transverse flow and Reynolds shear stress in turbulent plane jets and zero-pressure-gradient turbulent boundary layer flows were clarified.
Article
Multidisciplinary Sciences
Pedro Almagro, Marian Boguna, M. Angeles Serrano
Summary: Reducing dimensionality is an essential approach to detect and analyze patterns in large datasets and complex networks. In this study, the authors propose a method to infer the intrinsic dimensionality of high-dimensional networks and reproduce their complex structure using a reduced geometric representation.
NATURE COMMUNICATIONS
(2022)
Article
Water Resources
Noriaki Ohara, Siwei He, Andrew D. Parsekian, Benjamin M. Jones, Rodrigo C. Rangel, Ian O. Nichols, Kenneth M. Hinkel
Summary: This study presents a practical predictive model for snow redistribution based on the Linear Particle Distribution equation, and successfully implements it in two-dimensional natural terrains. The model effectively reproduces observed snowdrift distributions when snow densification and snowmelt effects are minimal, with diffusion effects generally dominating snow redistribution.
HYDROLOGICAL PROCESSES
(2022)
Article
Water Resources
Noriaki Ohara, Siwei He, Andrew D. Parsekian, Benjamin M. Jones, Rodrigo C. Rangel, Ian O. Nichols, Kenneth M. Hinkel
Summary: This study introduces a practical predictive model for snow redistribution based on the Linear Particle Distribution equation, demonstrating its effectiveness in reproducing observed snowdrift distributions in two-dimensional natural terrains at meter-scale resolutions. The model shows that the diffusion effect generally dominates snow redistribution.
HYDROLOGICAL PROCESSES
(2022)
Article
Geosciences, Multidisciplinary
Alexander H. Weinhart, Sepp Kipfstuhl, Maria Hoerhold, Olaf Eisen, Johannes Freitag
Summary: The spatial distribution and local variability of crusts in polar snowpack have been studied using microfocus X-ray computer tomography, showing that crusts are local features with a small spatial extent in the range of tens of meters. There is a positive correlation between the logarithmic accumulation rate and crusts per annual layer in surface snow, with a decreasing number of crusts in surface snow along a traverse on the East Antarctic Plateau. This data can provide new insights for firn permeability studies, improving remote sensing signals, and developing new proxies in snow and firn core research.
FRONTIERS IN EARTH SCIENCE
(2021)
Article
Environmental Sciences
Se-Hwan Son, Soon-Jik Kwon, Ji-Hyeok Im, Seong-Ki Kim, Dongsoo Kong, Jong-Yun Choi
Summary: This study analyzed the relationship between aquatic macrophytes and the spatial distribution of invertebrates in South Korean wetlands, finding that macrophyte coverage significantly influences the distribution of invertebrates.
Article
Engineering, Marine
Haijin Huang, Ming Chen, Xinlin Ma, Duoyin Wang, Lanbin Yang, Xusheng Zhou
Summary: This paper investigates the distribution and self-similarity of Reynolds stress in a semi-confined impinging jet using the 2D-PIV technology. The results show that high turbulence occurs mainly in the free jet shear layer and the wall jet shear layer. Scaling laws for Reynolds stresses are obtained based on the proposed scaling parameters.
Article
Mathematics, Applied
Iulia Cristian, Marina A. Ferreira, Eugenia Franco, Juan J. L. Velazquez
Summary: In this paper, we study a class of coagulation equations with a source term that injects clusters of size of order one into the system. The homogeneous coagulation kernel is characterized by a homogeneity exponent gamma<1, and is approximately given by x(gamma+lambda)y(-lambda) when x is larger than y. We focus on the case where gamma+2 lambda >= 1, where the transport of mass towards infinity is driven by collisions between particles of different sizes. In contrast, previous studies considered the case where gamma+2 lambda<1, where the transport of mass towards infinity is due to collisions between particles of comparable sizes. We prove the existence of a class of self-similar solutions for this class of coagulation equations with transport, under suitable choices of gamma and lambda. We also show that such self-similar solutions do not exist for the complementary case.
ARCHIVE FOR RATIONAL MECHANICS AND ANALYSIS
(2023)
Article
Physics, Applied
Daohua Wang, Yumei Xue
Summary: This paper introduces a hierarchical network generated by a random sequence based on BRV model, which is more in accordance with the properties of real networks that do not have strict self-similarity property. The encoding method is used to determine node neighbors and calculate the total path length of the network. Analytically and iteratively, the degree distribution and limit formula of the average path length of a class of networks are obtained.
MODERN PHYSICS LETTERS B
(2021)
Article
Multidisciplinary Sciences
Jianxia Liu, Jing Shen, Dong Zhao, Pu Zhang
Summary: This study investigates the splitting and incorporation of optical fractal states in one-dimensional photonic quasi-crystals and finds that the fractal characteristics can be modulated by the incident angle of light. This research has potential applications in band-pass filters and reflectors.