Results 1 to 10 of about 7,530,486 (302)

Empirical Modeling of Ionospheric Current Using Empirical Orthogonal Function Analysis and Artificial Neural Network

Space Weather, 2021
Given the potential importance of solar quiet (Sq) ionospheric current in geomagnetic field modeling, it is vital to obtain accurate parameters characterizing its variations, particularly the spatial and temporal variations. In this paper, we derived the
Charles Owolabi, Haibing Ruan, Yosuke Yamazaki, Jinfeng Li, Jiahao Zhong, A. V. Eyelade, Shishir Priyadarshi, Akimasa Yoshikawa   +7 more
doaj   +2 more sources

Deciphering organization of GOES-16 green cumulus through the empirical orthogonal function (EOF) lens [PDF]

Atmospheric Chemistry and Physics, 2021
A subset of continental shallow convective cumulus (Cu) cloud fields has been shown to have distinct spatial properties and to form mostly over forests and vegetated areas, thus referred to as “green Cu” (Dror et al., 2020).
T. Dror, M. D. Chekroun, O. Altaratz, I. Koren   +3 more
doaj   +1 more source

Modeling ionospheric foF2 by using empirical orthogonal function analysis [PDF]

Annales Geophysicae, 2011
A similar-parameters interpolation method and an empirical orthogonal function analysis are used to construct empirical models for the ionospheric foF2 by using the observational data from three ground-based ionosonde stations in Japan which are ...
E. A, E. A, D.-H. Zhang, D.-H. Zhang, Z. Xiao, Z. Xiao, Y.-Q. Hao, A. J. Ridley, M. Moldwin   +8 more
doaj   +1 more source

Spatiotemporal analysis of monthly rainfall over Saudi Arabia and global teleconnections

Geomatics, Natural Hazards & Risk, 2022
This research focuses on extracting the statistical features, in space and time, of the monthly rainfall in Saudi Arabia (SA) and the relation to the large-scale atmospheric variability through teleconnection for strategic water resources planning. These
Amro Elfeki, Jarbou Bahrawi, Muhammad Latif, Abdelwaheb Hannachi   +3 more
doaj   +1 more source

Constructing a Regional Ionospheric TEC Model in China with Empirical Orthogonal Function and Dense GNSS Observation

Remote Sensing, 2023
Using Global Navigation Satellite Systems (GNSS) observation data for developing a high-precision ionospheric Total Electron Content (TEC) model is one of the essential subjects in ionospheric physics research and the application of satellite navigation ...
Bo Xiong, Yuxiao Li, Changhao Yu, Xiaolin Li, Jianyong Li, Biqiang Zhao, Feng Ding, Lianhuan Hu, Yuxin Wang, Lingxiao Du   +9 more
doaj   +1 more source

Evaluation of Technology for the Analysis and Forecasting of Precipitation Using Cyclostationary EOF and Regression Method

Atmosphere, 2022
Precipitation time series exhibit complex fluctuations and statistical changes. Existing research stops short of a simple and feasible model for precipitation forecasting.
Mingdong Sun, Gwangseob Kim, Kun Lei, Yan Wang   +3 more
doaj   +1 more source

An Alternative to PCA for Estimating Dominant Patterns of Climate Variability and Extremes, with Application to U.S. and China Seasonal Rainfall

Atmosphere, 2020
Floods and droughts are driven, in part, by spatial patterns of extreme rainfall. Heat waves are driven by spatial patterns of extreme temperature. It is therefore of interest to design statistical methodologies that allow the rapid identification of ...
Stephen Jewson
doaj   +1 more source

Ionosphere Tomographic Model Based on Neural Network with Balance Cost and Dynamic Correction Using Multi-Constraints

Atmosphere, 2022
A Neural network (NN) is a promising tool for the tomographic inversion of the ionosphere. However, existing research has adopted an unbalanced cost function for training purposes and a preset image for constraint purposes, resulting in the output image ...
Haoyu Zhu, Jieqing Yu, Yuchen Dai, Yanyu Zhu, Yingqi Huang   +4 more
doaj   +1 more source

Investigations into mode characteristics of wind fields off the Guangdong coast using Empirical Orthogonal Function

Energy Reports, 2022
As one of the clean and renewable energy sources, wind energy has received increasing attentions from the public in recent years. Large-scale investigations into wind speeds and directions can provide guidance and reference for regional wind energy ...
Lei Ren, Wenya Zhang, Yaqi Wang, Hexu Wang, Haokai Yang, Qin Zhu, Zhenchang Zhu   +6 more
doaj   +1 more source

Empirical Orthogonal Function Analysis and Modeling of Global Tropospheric Delay Spherical Harmonic Coefficients

Remote Sensing, 2021
Based on the ERA-5 meteorological data from 2015 to 2019, we establish the global tropospheric delay spherical harmonic (SH) coefficients set called the SH_set and develop the global tropospheric delay SH coefficients empirical model called EGtrop using ...
Yongchao Ma, Hang Liu, Guochang Xu, Zhiping Lu   +3 more
doaj   +1 more source