 Subjects -> METEOROLOGY (Total: 106 journals)
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- New Index to Characterize Ionospheric Irregularity Distribution
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Authors:
Endawoke Yizengaw
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-26T10:49:52-07:00
DOI: 10.1029/2023SW003469
Issue No: Vol. 21, No. 9 (2023)
- Comparison of Empirical and Theoretical Models of the Thermospheric
Density Enhancement During the 3–4 February 2022 Geomagnetic Storm-
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Authors:
Jianhui He; Elvira Astafyeva,
Xinan Yue,
Nicholas M. Pedatella,
Dong Lin,
Timothy J. Fuller‐Rowell,
Mariangel Fedrizzi,
Mihail Codrescu,
Eelco Doornbos,
Christian Siemes,
Sean Bruinsma,
Frederic Pitout,
Adam Kubaryk
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-22T08:56:32-07:00
DOI: 10.1029/2023SW003521
Issue No: Vol. 21, No. 9 (2023)
- The Response of Ionospheric Currents to External Drivers Investigated
Using a Neural Network‐Based Model-
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Authors:
Xin Cao; Xiangning Chu,
Jacob Bortnik,
James M. Weygand,
Jinxing Li,
Homayon Aryan,
Donglai Ma
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-21T11:28:51-07:00
DOI: 10.1029/2023SW003506
Issue No: Vol. 21, No. 9 (2023)
- New Space Companies Meet a “Normal” Solar Maximum
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Authors:
Noé Lugaz; Huixin Liu,
Brett A. Carter,
Jennifer Gannon,
Shasha Zou,
Steven K. Morley
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-20T11:58:45-07:00
DOI: 10.1029/2023SW003702
Issue No: Vol. 21, No. 9 (2023)
- Prediction of Proton Pressure in the Outer Part of the Inner Magnetosphere
Using Machine Learning-
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Authors:
S. Y. Li; E. A. Kronberg,
C. G. Mouikis,
H. Luo,
Y. S. Ge,
A. M. Du
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-18T08:00:11-07:00
DOI: 10.1029/2022SW003387
Issue No: Vol. 21, No. 9 (2023)
- Three‐Dimensional Modeling of the Ground Electric Field in Fennoscandia
During the Halloween Geomagnetic Storm-
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Authors:
Elena Marshalko; Mikhail Kruglyakov,
Alexey Kuvshinov,
Ari Viljanen
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-13T12:44:05-07:00
DOI: 10.1029/2022SW003370
Issue No: Vol. 21, No. 9 (2023)
- Numerical Modeling and GNSS Observations of Ionospheric Depletions Due To
a Small‐Lift Launch Vehicle-
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Authors:
G. W. Bowden; M. Brown
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-13T12:38:09-07:00
DOI: 10.1029/2023SW003563
Issue No: Vol. 21, No. 9 (2023)
- Bayesian Inference and Global Sensitivity Analysis for Ambient Solar Wind
Prediction-
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Authors:
Opal Issan; Pete Riley,
Enrico Camporeale,
Boris Kramer
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-11T11:19:13-07:00
DOI: 10.1029/2023SW003555
Issue No: Vol. 21, No. 9 (2023)
- Investigating the Interhemispheric Asymmetry in Joule Heating During the
2013 St. Patrick's Day Geomagnetic Storm-
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Authors:
A. R. Smith; D. S. Ozturk,
P. Delamere,
G. Lu,
H. Kim
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-05T08:39:38-07:00
DOI: 10.1029/2023SW003523
Issue No: Vol. 21, No. 9 (2023)
- Probabilistic Solar Proxy Forecasting With Neural Network Ensembles
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Authors:
Joshua D. Daniell; Piyush M. Mehta
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-05T08:33:53-07:00
DOI: 10.1029/2023SW003675
Issue No: Vol. 21, No. 9 (2023)
- Assessing the Effects of a Minor CIR‐HSS Geomagnetic Storm on the
Brazilian Low‐Latitude Ionosphere: Ground and Space‐Based Observations
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Authors:
F. S. Chingarandi; C. M. N. Candido,
F. Becker‐Guedes,
O. F. Jonah,
S. P. Moraes‐Santos,
V. Klausner,
O. O. Taiwo
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-09-05T08:33:52-07:00
DOI: 10.1029/2023SW003500
Issue No: Vol. 21, No. 9 (2023)
- Two‐Line Elements Based Thermospheric Mass Density Specification From
Parameter Optimization of a Physics‐Based Model-
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Authors:
Dexin Ren; Jiuhou Lei
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-08-29T09:04:36-07:00
DOI: 10.1029/2023SW003553
Issue No: Vol. 21, No. 9 (2023)
- Dynamical Complexity Transitions During High‐Intensity Long Duration
Continuous Auroral Activities (HILDCAA) Events: Feature Analysis Based on
Neural Network Entropy-
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Authors:
I. A. Oludehinwa; A. Velichko,
B. O. Ogunsua,
O. I. Olusola,
O. O. Odeyemi
Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-08-29T08:58:32-07:00
DOI: 10.1029/2023SW003475
Issue No: Vol. 21, No. 9 (2023)
- Issue Information
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Abstract: Space Weather, Volume 21, Issue 9, September 2023.
PubDate: 2023-08-29T08:54:06-07:00
DOI: 10.1002/swe.21328
Issue No: Vol. 21, No. 9 (2023)
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