Articles | Volume 38, issue 2
https://doi.org/10.5194/angeo-38-481-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/angeo-38-481-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
AMPERE polar cap boundaries
Angeline G. Burrell
CORRESPONDING AUTHOR
Space Science Division, U.S. Naval Research Laboratory, 4555 Overlook Ave. SW, Washington, DC, USA
Gareth Chisham
British Antarctic Survey, Cambridge, UK
Stephen E. Milan
Radio and Space Plasma Physics, Department of Physics and Astronomy, University of Leicester, University Road, Leicester, UK
Liam Kilcommons
Ann and H.J. Smead Department of Aerospace Engineering Sciences, University of Colorado Boulder, 2055 Regent Drive, Boulder, CO, USA
Yun-Ju Chen
Center for Space Sciences, Department of Physics, The University of Texas at Dallas, 800 West Campbell Road, Richardson, TX, USA
Evan G. Thomas
Thayer School of Engineering, Dartmouth College, 14 Engineering Drive, Hanover, NH, USA
Brian Anderson
Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD, USA
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Fabrizio Sassi, Angeline G. Burrell, Sarah E. McDonald, Jennifer L. Tate, and John P. McCormack
Ann. Geophys., 42, 255–269, https://doi.org/10.5194/angeo-42-255-2024, https://doi.org/10.5194/angeo-42-255-2024, 2024
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This study shows how middle-atmospheric data (starting at 40 km) affect day-to-day ionospheric variability. We do this by using lower atmospheric measurements that include and exclude the middle atmosphere in a coupled ionosphere–thermosphere model. Comparing the two simulations reveals differences in two thermosphere–ionosphere coupling mechanisms. Additionally, comparison against observations showed that including the middle-atmospheric data improved the resulting ionosphere.
Fabrizio Sassi, Angeline G. Burrell, Sarah E. McDonald, Jennifer L. Tate, and John P. McCormack
Ann. Geophys., 42, 255–269, https://doi.org/10.5194/angeo-42-255-2024, https://doi.org/10.5194/angeo-42-255-2024, 2024
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This study shows how middle-atmospheric data (starting at 40 km) affect day-to-day ionospheric variability. We do this by using lower atmospheric measurements that include and exclude the middle atmosphere in a coupled ionosphere–thermosphere model. Comparing the two simulations reveals differences in two thermosphere–ionosphere coupling mechanisms. Additionally, comparison against observations showed that including the middle-atmospheric data improved the resulting ionosphere.
Gareth Chisham, Andrew J. Kavanagh, Neil Cobbett, Paul Breen, and Tim Barnes
Ann. Geophys., 42, 1–15, https://doi.org/10.5194/angeo-42-1-2024, https://doi.org/10.5194/angeo-42-1-2024, 2024
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Solar tides in the atmosphere are driven by solar heating on the dayside of the Earth. They result in large-scale periodic motion of the upper atmosphere. This motion can be measured by ground-based radars. This paper shows that making measurements at a higher time resolution than the standard operation provides a better description of higher-frequency tidal variations. This will improve the inputs to empirical atmospheric models and the benefits of data assimilation.
Paul Prikryl, Robert G. Gillies, David R. Themens, James M. Weygand, Evan G. Thomas, and Shibaji Chakraborty
Ann. Geophys., 40, 619–639, https://doi.org/10.5194/angeo-40-619-2022, https://doi.org/10.5194/angeo-40-619-2022, 2022
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The solar wind interaction with Earth’s magnetic field deposits energy into the upper portion of the atmosphere at high latitudes. The coupling process that modulates the ionospheric convection and intensity of ionospheric currents leads to formation of densely ionized patches convecting across the polar cap. The ionospheric currents launch traveling ionospheric disturbances (TIDs) propagating equatorward. The polar cap patches and TIDs are then observed by networks of radars and GPS receivers.
Daniel Schmid, Ferdinand Plaschke, Yasuhito Narita, Daniel Heyner, Johannes Z. D. Mieth, Brian J. Anderson, Martin Volwerk, Ayako Matsuoka, and Wolfgang Baumjohann
Ann. Geophys., 38, 823–832, https://doi.org/10.5194/angeo-38-823-2020, https://doi.org/10.5194/angeo-38-823-2020, 2020
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Recently, the two-spacecraft mission BepiColombo was launched to explore Mercury. To measure the magnetic field precisely, in-flight calibration of the magnetometer offset is needed. Usually, the offset is evaluated from magnetic field observations in the solar wind. Since one of the spacecraft will remain within Mercury's magnetic environment, we examine an alternative calibration method. We show that this method is applicable and may be a valuable tool to determine the offset accurately.
Martin Volwerk, Charlotte Goetz, Ferdinand Plaschke, Tomas Karlsson, Daniel Heyner, and Brian Anderson
Ann. Geophys., 38, 51–60, https://doi.org/10.5194/angeo-38-51-2020, https://doi.org/10.5194/angeo-38-51-2020, 2020
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The magnetic field that is carried by the solar wind slowly decreases in strength as it moves further from the Sun. However, there are sometimes localized decreases in the magnetic field strength, called magnetic holes. These are small structures where the magnetic field strength decreases to less than 50 % of the surroundings and the plasma density increases. This paper presents a statistical study of the behaviour of these holes between Mercury and Venus using MESSENGER data.
Nikolai Østgaard, Jone P. Reistad, Paul Tenfjord, Karl M. Laundal, Theresa Rexer, Stein E. Haaland, Kristian Snekvik, Michael Hesse, Stephen E. Milan, and Anders Ohma
Ann. Geophys., 36, 1577–1596, https://doi.org/10.5194/angeo-36-1577-2018, https://doi.org/10.5194/angeo-36-1577-2018, 2018
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In this paper we take advantage of having two auroral imaging missions giving simultaneous data of both the southern and northern aurora. Combined with all available in situ measurements from space and global ground-based networks, we explore the asymmetric behavior of geospace. We find large auroral asymmetries and different reconnection geometry in the two hemispheres. During substorm expansion phase asymmetries are reduced.
Natalia Buzulukova, Jerry Goldstein, Mei-Ching Fok, Alex Glocer, Phil Valek, David McComas, Haje Korth, and Brian Anderson
Ann. Geophys., 36, 107–124, https://doi.org/10.5194/angeo-36-107-2018, https://doi.org/10.5194/angeo-36-107-2018, 2018
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The paper presents a case study of Earth's magnetosphere dynamics during the geomagnetic storm of 14–16 November 2012. We use a recently developed global model of the magnetosphere that combines a 3-D magnetohydrodynamics model with a kinetic bounce-averaged model for a representation of the energetic ring current population (1–200 keV). We use the model together with multipoint measurements to understand the observations and provide insight into magnetosphere–ionosphere coupling aspects.
Emilia Correia, Luca Spogli, Lucilla Alfonsi, Claudio Cesaroni, Adriana M. Gulisano, Evan G. Thomas, Ray F. Hidalgo Ramirez, and Alexandre A. Rodel
Ann. Geophys., 35, 1113–1129, https://doi.org/10.5194/angeo-35-1113-2017, https://doi.org/10.5194/angeo-35-1113-2017, 2017
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Ionospheric disturbances observed in Antarctica during a moderately strong geomagnetic storm caused by the impact of a coronal mass ejection from the Sun are presented here. The ionosphere behavior was analyzed using GNSS and ionosonde observations at middle and high latitudes. The results showed that the impact promptly affected the ionosphere from the Equator to the high latitudes, resulting in strong irregularities, particularly at middle and high latitudes, which can affect GPS users.
David Fischer, Werner Magnes, Christian Hagen, Ivan Dors, Mark W. Chutter, Jerry Needell, Roy B. Torbert, Olivier Le Contel, Robert J. Strangeway, Gernot Kubin, Aris Valavanoglou, Ferdinand Plaschke, Rumi Nakamura, Laurent Mirioni, Christopher T. Russell, Hannes K. Leinweber, Kenneth R. Bromund, Guan Le, Lawrence Kepko, Brian J. Anderson, James A. Slavin, and Wolfgang Baumjohann
Geosci. Instrum. Method. Data Syst., 5, 521–530, https://doi.org/10.5194/gi-5-521-2016, https://doi.org/10.5194/gi-5-521-2016, 2016
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This paper describes frequency and timing calibration, modeling and data processing and calibration for MMS magnetometers, resulting in a merged search choil and fluxgate data product.
Yann Pfau-Kempf, Heli Hietala, Steve E. Milan, Liisa Juusola, Sanni Hoilijoki, Urs Ganse, Sebastian von Alfthan, and Minna Palmroth
Ann. Geophys., 34, 943–959, https://doi.org/10.5194/angeo-34-943-2016, https://doi.org/10.5194/angeo-34-943-2016, 2016
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We have simulated the interaction of the solar wind – the charged particles and magnetic fields emitted by the Sun into space – with the magnetic field of the Earth. The solar wind flows supersonically and creates a shock when it encounters the obstacle formed by the geomagnetic field. We have identified a new chain of events which causes phenomena in the downstream region to eventually cause perturbations at the shock and even upstream. This is confirmed by ground and satellite observations.
M. Volwerk, N. André, C. S. Arridge, C. M. Jackman, X. Jia, S. E. Milan, A. Radioti, M. F. Vogt, A. P. Walsh, R. Nakamura, A. Masters, and C. Forsyth
Ann. Geophys., 31, 817–833, https://doi.org/10.5194/angeo-31-817-2013, https://doi.org/10.5194/angeo-31-817-2013, 2013
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Subject: Earth's ionosphere & aeronomy | Keywords: Polar ionosphere
Fine-scale dynamics of fragmented aurora-like emissions
Polar tongue of ionisation during geomagnetic superstorm
Characteristics of fragmented aurora-like emissions (FAEs) observed on Svalbard
Plasma density gradients at the edge of polar ionospheric holes: the absence of phase scintillation
Characteristics of the layered polar mesosphere summer echoes occurrence ratio observed by EISCAT VHF 224 MHz radar
Daniel K. Whiter, Hanna Sundberg, Betty S. Lanchester, Joshua Dreyer, Noora Partamies, Nickolay Ivchenko, Marco Zaccaria Di Fraia, Rosie Oliver, Amanda Serpell-Stevens, Tiffany Shaw-Diaz, and Thomas Braunersreuther
Ann. Geophys., 39, 975–989, https://doi.org/10.5194/angeo-39-975-2021, https://doi.org/10.5194/angeo-39-975-2021, 2021
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This paper presents an analysis of high-resolution optical and radar observations of a phenomenon called fragmented aurora-like emissions (FAEs) observed close to aurora in the high Arctic. The observations suggest that FAEs are not caused by high-energy electrons or protons entering the atmosphere along Earth's magnetic field and are, therefore, not aurora. The speeds of the FAEs and their internal dynamics were measured and used to evaluate theories for how the FAEs are produced.
Dimitry Pokhotelov, Isabel Fernandez-Gomez, and Claudia Borries
Ann. Geophys., 39, 833–847, https://doi.org/10.5194/angeo-39-833-2021, https://doi.org/10.5194/angeo-39-833-2021, 2021
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During geomagnetic storms, enhanced solar wind and changes in the interplanetary magnetic field lead to ionisation anomalies across the polar regions. The superstorm of 20 November 2003 was one of the largest events in recent history. Numerical simulations of ionospheric dynamics during the storm are compared with plasma observations to understand the mechanisms forming the polar plasma anomalies. The results are important for understanding and forecasting space weather in polar regions.
Joshua Dreyer, Noora Partamies, Daniel Whiter, Pål G. Ellingsen, Lisa Baddeley, and Stephan C. Buchert
Ann. Geophys., 39, 277–288, https://doi.org/10.5194/angeo-39-277-2021, https://doi.org/10.5194/angeo-39-277-2021, 2021
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Small-scale auroral features are still being discovered and are not well understood. Where aurorae are caused by particle precipitation, the newly reported fragmented aurora-like emissions (FAEs) seem to be locally generated in the ionosphere (hence,
aurora-like). We analyse data from multiple instruments located near Longyearbyen to derive their main characteristics. They seem to occur as two types in a narrow altitude region (individually or in regularly spaced groups).
Luke A. Jenner, Alan G. Wood, Gareth D. Dorrian, Kjellmar Oksavik, Timothy K. Yeoman, Alexandra R. Fogg, and Anthea J. Coster
Ann. Geophys., 38, 575–590, https://doi.org/10.5194/angeo-38-575-2020, https://doi.org/10.5194/angeo-38-575-2020, 2020
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The boundary of regions with a plasma density much lower than background was investigated in the northern polar cap using observations of ionospheric plasma density. Similar regions with an above-background density have been linked to fluctuations in phase and amplitude in radio waves traversing the density gradient at their boundary. These fluctuations were absent through the gradient in the below-background regions; thus, a minimum of both density and gradient are required for scintillation.
Shucan Ge, Hailong Li, Tong Xu, Mengyan Zhu, Maoyan Wang, Lin Meng, Safi Ullah, and Abdur Rauf
Ann. Geophys., 37, 417–427, https://doi.org/10.5194/angeo-37-417-2019, https://doi.org/10.5194/angeo-37-417-2019, 2019
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The paper investigates the occurrence of polar mesosphere summer echoes (PMSEs) over a solar cycle. Besides the statistical study of the layered PMSE occurrence ratio, the authors propose a method to deal with the discontinuous EISCAT radar measurements. The method makes it easier to establish a relationship between the layered PMSEs and solar and geomagnetic activities. The paper presents a relatively large data set that brings results. It can be recommended in future research on the PMSEs.
Cited articles
Anderson, B. J., Takahashi, K., and Toth, B. A.:
Sensing global Birkeland currents with Iridium engineering magnetometer data,
Geophys. Res. Lett.,
27, 4045–4048, 2000. a
Anderson, B. J., Takahashi, K., Kamei, T., Waters, C. L., and Toth, B. A.:
Birkeland current system key parameters derived from Iridium observations: Method and initial validation results,
J. Geophys. Res.,
107, 1079, https://doi.org/10.1029/2001JA000080, 2002. a
Boakes, P. D., Milan, S. E., Abel, G. A., Freeman, M. P., Chisham, G., Hubert, B., and Sotirelis, T.: On the use of IMAGE FUV for estimating the latitude of the open/closed magnetic field line boundary in the ionosphere, Ann. Geophys., 26, 2759–2769, https://doi.org/10.5194/angeo-26-2759-2008, 2008. a, b, c
Burrell, A. G. and Chisham, G.:
aburrell/ocbpy: Beta Release, Zenodo,
https://doi.org/10.5281/zenodo.1217177, 2018. a, b, c, d
Burrell, A. G., Halford, A., Klenzing, J., Stoneback, R. A., Morley, S. K., Annex, A. M., Laundal, K. M., Kellerman, A. C., Stansby, D., and Ma, J.:
Snakes on a Spaceship—An Overview of Python in Heliophysics,
J. Geophys. Res.-Space,
123, 10384–10402, https://doi.org/10.1029/2018ja025877, 2018a. a
Burrell, A. G., van der Meeren, C., and Laundal, K. M.:
aburrell/aacgmv2: AACGMV2 2.5.1, Zenodo,
https://doi.org/10.5281/zenodo.1469697, 2018b. a
Carbary, J. F., Sotirelis, T., Newell, P. T., and Meng, C.-I.:
Auroral boundary correlations between UVI and DMSP,
J. Geophys. Res.,
108, 1018, https://doi.org/10.1029/2002JA009378, 2003. a
Chen, Y.-J. and Heelis, R. A.:
Motions of the Convection Reversal Boundary and Local Plasma in the High-Latitude Ionosphere,
J. Geophys. Res.-Space,
123, 2953–2963, https://doi.org/10.1002/2017ja024934, 2018. a
Chen, Y.-J., Heelis, R. A., and Cumnock, J. A.:
Response of the ionospheric convection reversal boundary at high latitudes to changes in the interplanetary magnetic field,
J. Geophys. Res.-Space,
120, 5022–5034, https://doi.org/10.1002/2015ja021024, 2015. a, b, c
Chisham, G.:
Auroral Boundary Derived from IMAGE Satellite Mission Data (May 2000–Oct 2002), British Antarctic Survey,
https://doi.org/10.5285/75aa66c1-47b4-4344-ab5d-52ff2913a61e, 2017a. a
Clausen, L. B. N., Baker, J. B. H., Ruohoniemi, J. M., Milan, S. E., Coxon, J. C., Wing, S., Ohtani, S., and Anderson, B. J.:
Temporal and spatial dynamics of the regions 1 and 2 Birkeland currents during substorms,
J. Geophys. Res.-Space,
118, 3007–3016, https://doi.org/10.1002/jgra.50288, 2013. a
Cowley, S. W. H. and Lockwood, M.:
Excitation and decay of solar-wind driven flows in the magnetosphere-ionosphere system,
Ann. Geophys.,
10, 103–115, 1992. a
Coxon, J. C., Milan, S. E., and Anderson, B. J.:
A review of Birkeland current research using AMPERE, vol. 235, chap.,
in: Electric Currents in Geospace and Beyond,
American Geophysical Union, https://doi.org/10.1002/9781119324522.ch16, 257–278, 2018. a, b, c
Drake, K. A., Heelis, R. A., Hairston, M. R., and Anderson, P. C.:
Electrostatic Potential Drop Across the Ionospheric Signature of the Low-Latitude Boundary Layer,
J. Geophys. Res.,
114, A04215, https://doi.org/10.1029/2008JA013608, 2009. a, b
Dungey, J. W.:
Interplanetary Magnetic Field and the Auroral Zones,
Phys. Rev. Lett.,
6, 47–48, 1961. a
Frey, H. U.: Image, available at: http://sprg.ssl.berkeley.edu/image/, last access: August 2017. a
Heelis, R. A. and Hanson, W. B.:
Measurements of Thermal Ion Drift Velocity and Temperature using Planar Sensors,
in: Measurement Techniques in Space Plasmas: Particles,
edited by:
Pfaff, R. F., Borovsky, J., and Young, T. D.,
AGU, Washington, D.C., https://doi.org/10.1029/GM102, 61–71, 1998. a
Holzworth, R. and Meng, C.-I.:
Mathematical Representation of the Auroral Oval,
Geophys. Res. Lett.,
2, 377–380, 1975. a
Iijima, T. and Potemra, T. A.:
The Amplitude Distribution of Field-Aligned Currents at Northern High Latitudes Observed by Triad,
J. Geophys. Res.,
81, 2165–2174, 1976. a
John Hopkins Applied Physics Laboratory: AMPERE, available at: http://ampere.jhuapl.edu/, last access: August 2019. a
Kilcommons, L. and Burrell, A. G.:
lkilcommons/ssj_auroral_boundary:
Version 1 (Version v1.0.0), Zenodo,
https://doi.org/10.5281/zenodo.3267415, 2019. a, b
Kilcommons, L. M., Redmon, R. J., and Knipp, D. J.:
A new DMSP magnetometer and auroral boundary data set and estimates of field-aligned currents in dynamic auroral boundary coordinates,
J. Geophys. Res.-Space,
122, 9068–9079, https://doi.org/10.1002/2016ja023342, 2017. a, b, c
Kilcommons, L., Redmon, R., and Knipp, D.: Defense Meteorology Satellite Program (DMSP) Electron Precipitation (SSJ) Auroral Boundaries, 2010–2014 (Version 1.0.0) [Data set], Zenodo, https://doi.org/10.5281/zenodo.3373812, 2019. a
Kovalick, T.: SPDF – Coordinated Data Analysis Web (CDAWeb), available at: https://cdaweb.gsfc.nasa.gov, last access: August 2019. a
Longden, N., Chisham, G., Freeman, M. P., Abel, G. A., and Sotirelis, T.: Estimating the location of the open-closed magnetic field line boundary from auroral images, Ann. Geophys., 28, 1659–1678, https://doi.org/10.5194/angeo-28-1659-2010, 2010. a
Mende, S. B., Heetderks, H., Frey, H. U., Stock, J. M., Lampton, M., Geller, S. P., Abiad, R., Siegmund, O. H. W., Habraken, S., Renotte, E., Jamar, C., Rochus, P., Gérard, J. C., Sigler, R., and Lauche, H.:
Far ultraviolet imaging from the IMAGE spacecraft. 3. Spectral imaging of Lyman-alpha and OI 135.6 nm,
Space Sci. Rev.,
91, 287–381, https://doi.org/10.1007/978-94-011-4233-5_10, 2000. a
Milan, S.:
AMPERE R1/R2 FAC radii, University of Leicester,
https://doi.org/10.25392/leicester.data.11294861.v1, 2019. a, b
Milan, S. E., Carter, J. A., Korth, H., and Anderson, B. J.:
Principal component analysis of Birkeland currents determined by the Active Magnetosphere and Planetary Electrodynamics Response Experiment,
J. Geophys. Res.-Space,
120, 10415–10424, https://doi.org/10.1002/grl.50505, 2015. a, b, c, d
More, J., Sorenson, D., Garbow, B., and Hillstrom, K.:
The MINPACK Project,
in:
Sources and Development of Mathematical Software,
edited by:
Cowell, W.,
Prentice-Hall, Englewood Cliffs, NJ, USA, available at: https://www.netlib.org/minpack/ (last access: August 2019), 1984. a
Newell, P. T., Ruohoniemi, J. M., and Meng, C.-I.:
Maps of precipitation by source region, binned by IMF, with inertial convection streamlines,
J. Geophys. Res.,
109, A10206, https://doi.org/10.1029/2004JA010499, 2004. a, b
Redmon, R. J., Peterson, W. K., Andersson, L., Kihn, E. a., Denig, W. F., Hairston, M., and Coley, R.:
Vertical thermal O+ flows at 850 km in dynamic auroral boundary coordinates,
J. Geophys. Res.,
115, A00J08, https://doi.org/10.1029/2010JA015589, 2010.
a
Redmon, R. J., Denig, W. F., Kilcommons, L. M., and Knipp, D. J.:
New DMSP database of precipitating auroral electrons and ions,
J. Geophys. Res.-Space,
122, 9056–9067, https://doi.org/10.1002/2016JA023339, 2017. a
Rideout, B.: Madrigal database at CEDAR, available at: http://cedar.openmadrigal.org, last access: August 2019. a
Shepherd, S. G.:
Altitude-adjusted corrected geomagnetic coordinates: Definition and functional approximations,
J. Geophys. Res.-Space,
119, 7501–7521, https://doi.org/10.1002/2014JA020264, 2014. a
Spiro, R. W., Heelis, R. A., and Hanson, W. B.:
Ion Convection and the Formation and of the Mid-Latitude and F Region Ionization Trough,
J. Geophys. Res.,
83, 4255–4254, 1978. a
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, R., Carey, C. J., Polat, İ., Feng, Y., Moore, E. W., VanderPlas, J., Laxalde, D., Perktold, J., Cimrman, R., Henriksen, I., Quintero, E. A., Harris, C. R., Archibald, A. M., Ribeiro, A. H., Pedregosa, F., van Mulbregt, P., and SciPy 1.0 Contributors: SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python, Nat. Methods, in press, 2020. a
Waters, C. L., Anderson, B. J., and Liou, K.:
Estimation of Global and Field Aligned Currents Using the Iridium System Magnetometer Data,
Geophys. Res. Lett.,
28, 2165–2168, 2001. a
Zhu, Q., Deng, Y., Richmond, A., Maute, A., Chen, Y.-J., Hairston, M., Kilcommons, L., Knipp, D., Redmon, R., and Mitchell, E.:
Impacts of binning methods on high-latitude electrodynamic forcing: static vs. boundary-oriented binning methods,
J. Geophys. Res.-Space,
124, e2019JA027270, https://doi.org/10.1029/2019JA027270, 2019. a
Short summary
The Earth's polar upper atmosphere changes along with the magnetic field, other parts of the atmosphere, and the Sun. When studying these changes, knowing the polar region that the data come from is vital, as different processes dominate the area where the aurora is and poleward of the aurora (the polar cap). The boundary between these areas is hard to find, so this study used a different boundary and figured out how they are related. Future studies can now find their polar region more easily.
The Earth's polar upper atmosphere changes along with the magnetic field, other parts of the...