Statistical analysis of extreme auroral electrojet indices
نویسندگان
چکیده
منابع مشابه
Synoptic-Statistical Analysis of Ozone's (O3) Extreme Days in Tehran
Air pollution is one of the most important natural hazards in cities that is one of the priorities of climate research. In this research, synoptic situation of days polluted by ozone in Tehran have been studied and by environmental to circulation approach and cluster analysis. At first, was formed a matrix in 2417*41. Rows are indicated days and columns represent the number of stations. by clu...
متن کاملRing current in ̄uence on auroral electrojet predictions
Geomagnetic storms and substorms develop under strong control of the solar wind. This is demonstrated by the fact that the geomagnetic activity indices Dst and AE can be predicted from the solar wind alone. A consequence of the strong control by a common source is that substorm and storm indices tend to be highly correlated. However, a part of this correlation is likely to be an eect of intern...
متن کاملprinciple component analysis of extreme indices of zanjan city precipitation
climate is a multivariate system. every change in every climate variable could result in different changes in climate. recently, experts have paid extensive attention to frequency distribution sequence of climate elements. accordingly, many different indices have been defined. precipitation extremes can exhibit the phase space of climate system. a technique that can be used to analyze climate p...
متن کاملWhat can we tell about global auroral-electrojet activity from a single meridional magnetometer chain?
The AE indices are generally used for monitoring the level of magnetic activity in the auroral oval region. In some cases, however, the oval is either so expanded or contracted that the latitudinal coverage of the AE magnetometer chain is not adequate. Then, a longitudinal chain in the key region would give more information of the real situation, but, of course, only during some limited UT-peri...
متن کاملForecasting Auroral Electrojet Activity from Solar Wind Input with Neural Networks
Neural networks for reconstructing the chaotic attractor in the nonlinear dynamics of the solar wind driven, coupled magnetosphere-ionosphere (MI) system are developed. Two new methods which improve predictive ability are considered: a gating method which accounts for different levels of activity, and a preconditioning algorithm which allows the network to ignore very short time fluctuations du...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Earth, Planets and Space
سال: 2015
ISSN: 1880-5981
DOI: 10.1186/s40623-015-0321-0