Results 31 to 40 of about 21,118 (299)

The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting [PDF]

, 2019
The numerous recent breakthroughs in machine learning (ML) make imperative to carefully ponder how the scientific community can benefit from a technology that, although not necessarily new, is today living its golden age.
Andrejková G., Ashmall J., Bergstra J., E. Camporeale, Fasshauer G. E., Gelman A., Goodfellow I., Murphy K. P., Parnowski A., Pedregosa F., Pesnell W. D., Russell S. J., Semeniv O., Stepanova M., Stringer G., Sutton R. S., Turner D., Valach F., Vapnik V., Vega‐Jorquera P.   +19 more
core   +2 more sources

Modeling radiation belt radial diffusion in ULF wave fields: 1. Quantifying ULF wave power at geosynchronous orbit in observations and in global MHD model [PDF]

, 2010
[1] To provide critical ULF wave field information for radial diffusion studies in the radiation belts, we quantify ULF wave power (f = 0.5–8.3 mHz) in GOES observations and magnetic field predictions from a global magnetospheric model.
Huang, Chia-Lin L., Hughes, W. Jeffrey, Singer, Howard J., Spence, Harlan E.   +3 more
core   +2 more sources

Anomalous electron heating effects on the E region ionosphere in TIEGCM [PDF]

, 2016
We have recently implemented a new module that includes both the anomalous electron heating and the electron‐neutral cooling rate correction associated with the Farley‐Buneman Instability (FBI) in the thermosphere‐ionosphere electrodynamics global ...
Dimant, Yakov, Liu, Jing, Merkin, Slava, Oppenheim, Meers, Wang, Wenbin, Wiltberger, Michael   +5 more
core   +1 more source

Geomagnetic secular variation forecast using the NASA GEMS ensemble Kalman filter: A candidate SV model for IGRF-13

Earth, Planets and Space, 2021
We have produced a 5-year mean secular variation (SV) of the geomagnetic field for the period 2020–2025. We use the NASA Geomagnetic Ensemble Modeling System (GEMS), which consists of the NASA Goddard geodynamo model and ensemble Kalman filter (EnKF ...
Andrew Tangborn, Weijia Kuang, Terence J. Sabaka, Ce Yi   +3 more
doaj   +1 more source

An event study to provide validation of TING and CMIT geomagnetic middle-latitude electron densities at the F2 peak [PDF]

, 2008
[1] The coupled thermosphere-ionosphere magnetosphere (CMIT) model and the Thermosphere Ionosphere Nested Grid (TING) model have been run to simulate the 15 May 1997 interplanetary coronal mass ejection\u27s (ICME) effects on the Earth\u27s ionosphere ...
Burns, A. G., Killeen, T. L., Landivar, J. E., Lopez, R. E., Soloman, S. C., Spence, Harlan E., Wang, W., Wiltberger, M.   +7 more
core   +2 more sources

Modeling the Geomagnetic Response to the September 2017 Space Weather Event Over Fennoscandia Using the Space Weather Modeling Framework: Studying the Impacts of Spatial Resolution

Space Weather, 2021
We must be able to predict and mitigate against geomagnetically induced current (GIC) effects to minimize socio‐economic impacts. This study employs the space weather modeling framework (SWMF) to model the geomagnetic response over Fennoscandia to the ...
A. P. Dimmock, D. T. Welling, L. Rosenqvist, C. Forsyth, M. P. Freeman, I. J. Rae, A. Viljanen, E. Vandegriff, R. J. Boynton, M. A. Balikhin, E. Yordanova   +10 more
doaj   +1 more source

Improved construction method for regional geomagnetic benchmark map based on Taylor polynomial modeling

Shenzhen Daxue xuebao. Ligong ban
To address the issues of limited accuracy and poor adaptability in the traditional geomagnetic benchmark map modeling, we propose a construction method for regional geomagnetic benchmark map based on Taylor polynomial expansion.
LI Yunhong, LI Yunti, LI Shibo, AN Yuxin, HU Yingjie, ZHANG Zhaozhao, LIU Wanghong   +6 more
doaj   +1 more source

The influence of regularization on the geomagnetic core field modeling

地球与行星物理论评
Earth's magnetic field is generated through the dynamo action in the liquid outer core. Using observational data from geomagnetic satellites and observatories, we can construct geomagnetic models that describe spatial and temporal variations of the core ...
Juyuan Xu, Yufeng Lin, Keke Zhang
doaj   +1 more source

Modeling the influence of magnetospheric heat fluxes on the electron temperature in the subauroral ionosphere

Solar-Terrestrial Physics, 2017
We present results of modeling of the electron temperature distribution in the F region of the subauroral ionosphere for different helio-geomagnetic conditions with consideration for magnetospheric heat fluxes.
Gololobov A.Yu., Golikov I.A., Varlamov I.I.   +2 more
doaj   +1 more source

Using improved Swarm’s experimental absolute vector mode data to produce a candidate Definitive Geomagnetic Reference Field (DGRF) 2015.0 model

Earth, Planets and Space, 2021
We describe the way a global model of the geomagnetic field has been built using vector field data acquired by the absolute scalar magnetometers (ASM) running in vector mode on board the Alpha and Bravo satellites of the European Space Agency (ESA) Swarm
Pierre Vigneron, Gauthier Hulot, Jean-Michel Léger, Thomas Jager   +3 more
doaj   +1 more source