GUVI Biblio | guvitimed.jhuapl.edu

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Found 13 entries in the Bibliography.

Showing entries from 1 through 13

2022

Height-integrated polar cap conductances during an average substorm

Carter, Jennifer; Milan, Steven; Lester, Mark; Forsyth, Colin; Paxton, Larry; Gjerloev, Jesper; Anderson, Brian;

Published by: Published on:

YEAR: 2022 DOI:

2021

Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)

We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particl ...

McGranaghan, Ryan; Ziegler, Jack; Bloch, Téo; Hatch, Spencer; Camporeale, Enrico; Lynch, Kristina; Owens, Mathew; Gjerloev, Jesper; Zhang, Binzheng; Skone, Susan;

Published by: Space Weather Published on:

YEAR: 2021 DOI: 10.1029/2020SW002684

space weather; magnetosphere-ionosphere coupling; data science; evaluation; machine learning; particle precipitation

Determination of Auroral Electrodynamic Parameters From AMPERE Field-Aligned Current Measurements

We calculate high latitude electrodynamic parameters using global maps of field-aligned currents from the Active Magnetosphere and Planetary Response Experiment (AMPERE). The model is based on previous studies that relate field-aligned currents to auroral Pedersen and Hall conductances measured by incoherent scatter radar. The field-aligned currents and conductances are used to solve for the electric potential at high latitudes from which electric fields are computed. The electric fields are then used with the conductances t ...

Robinson, R.; Zanetti, Larry; Anderson, Brian; Vines, Sarah; Gjerloev, Jesper;

Published by: Space Weather Published on:

YEAR: 2021 DOI: 10.1029/2020SW002677

space weather; auroral currents; auroral electrodynamics; conductivities; electric fields; field-aligned currents

2020

Height-Integrated Ionospheric Conductances Parameterized By Interplanetary Magnetic Field and Substorm Phase

Carter, JA; Milan, SE; Paxton, LJ; Anderson, BJ; Gjerloev, J;

Published by: Journal of Geophysical Research: Space Physics Published on:

YEAR: 2020 DOI:

2016

Nightside storm-time Birkeland currents: quasi-steady state, onsets, and dual R1/2 sense pairs

Anderson, BJ; Korth, H; Paxton, LJ; Olson, C; Waters, CL; Barnes, RJ; Gjerloev, JW;

Published by: Published on:

YEAR: 2016 DOI:

Nightside storm-time Birkeland currents: quasi-steady state, onsets, and dual R1/2 sense pairs

Korth, Haje; Anderson, Brian; Paxton, Larry; Olson, Cameron; Waters, Colin; Barnes, Robin; Gjerloev, Jesper;

Published by: Published on:

YEAR: 2016 DOI:

2015

Towards a National Space Weather Predictive Capability

Fox, Nicola; Ryschkewitsch, Michael; Merkin, Viacheslav; Stephens, Grant; Gjerloev, Jesper; Barnes, Robin; Anderson, Brian; Paxton, Larry; Ukhorskiy, Aleksandr; Kelly, Michael; , others;

Published by: Published on:

YEAR: 2015 DOI:

2014

Local Geomagnetic Indices and the Prediction of Auroral Power

The aurora has been related to magnetometer observations for centuries, and to geomagnetic indices for decades. As the number of stations and data processing power increases, just how auroral power (AP) relates to geomagnetic observations becomes a more tractable question. This paper compares Polar UVI AP observations during 1997 with a variety of indices. Local time (LT) versions of the SuperMAG auroral electrojet (SME) are introduced and examined, along with the corresponding upper and lower envelopes (SMU< ...

Newell, P.; Gjerloev, J.;

Published by: Journal of Geophysical Research: Space Physics Published on: 12/2014

YEAR: 2014 DOI: 10.1002/2014JA020524

AURORA; auroral electrojet; indices; Pedersen current; Prediction