Swarm 10 Year Anniversary & Science Conference 
08  12 April 2024 | Copenhagen, Denmark 


Poster TitleAuthor
1Swarm Mission status and future prospectives
Anja Strømme
2SWARM satellites 10 years in orbit - status and forecast
Thomas Usbeck
3Operating a satellite constellation: how we keep Swarm flying
Giuseppe Albini
4Swarm constellation orbital evolution under scientific and operational constraints
Francesco Petrucciani
5ASM status after 10 years of operation on-board the Swarm satellites
Thomas Jager
6The performance of the Vector Field Magnetometer on the ESA Swarm mission
Jose M. G. Merayo
7Solar System Dust Detection from Swarm Navigation Cameras – A Potential Science Add-On
Peter S. Jørgensen
810 years of Swarm PDGS Operations: Lessons Learned
Livia D'Alba
9Swarm instruments, processors and data quality after 10 years in Space
Nicola Comparetti
10Adding high energy particle mapping to the Swarm observations suite
John Jørgensen
11Review of the magnetic perturbation model of the Swarm Satellites
Peter Brauer
12Latest Investigations into dB_Sun Disturbance
Lars Tøffner-Clausen
13Swarm Langmuir Probes and plasma data processing in 10 years
Stephan Buchert
14Implementation of the Swarm FAST Processing Pipeline
Alessandro Maltese
15Swarm Fast data processing chain
Roberta Forte
16Verification and validation of Swarm L1b FAST products
Ingo Michaelis
17Exploring the Swarm-Echo/e-POP Dataset: Tools for Accessing, Visualization, and Analysis
Andrew White
18Noise removal to improve the Swarm-Echo magnetic field data
David Miles
19Co-estimation of geomagnetic field and magnetometer calibration parameters using data from Swarm-Echo
Robert Broadfoot
20Magnetic Anomaly Navigation with Quantum Sensors for Commercial Aircrafts
Antonia Hager
21Satellite Laser Ranging to Swarm satellites: validation, modeling of systematic effects, determination of global geodetic parameters, and realization of terrestrial reference frame
Dariusz Strugarek
22Initial Study of Novel Quantum Diamond-based Sensors aboard the ISS for Future Earth Observation Missions
Jaroslav Hruby
24Comparison of scalar magnetic field data of China Seismo-Electromagnetic, Macao Science and Swarm satellites
Alexander Betzler
25Noise features of the MSS-1 vector magnetometer
Fan Yin
26Core flow ingredient: sensitivity to the geodynamo priors
Hannah Rogers
27Swarm and its role in understanding a 6-year oscillation in the Earth’s system
Mioara Mandea
28Novel Earth-like magnetic field morphological criteria from Modern to Pleistocene eras
Filipe Terra-nova
29Flow at the top of the free stream in geodynamo simulations
Dominique Jault
30Magnetic eigenmodes in the plesio-geostrophic model
Jingtao Min
31Determining the dynamics at the core mantle boundary using Physics-Informed Machine Learning
Naomi Shakespeare-Rees
32Estimating core dynamics via the assimilation of magnetic field models into numerical dynamos
Kyle Gwirtz
33Using SOLA for investigating rapid fluctuations of outer core surface flow
Hannah Rogers
34Simple Geomagnetic Field Model Forecast Assessments: Auto-regressive Methods and Machine Learning
Martin Rother
35Studying time-correlated errors derived from Swarm vector residuals to improve uncertainty estimates of geomagnetic field models
Clemens Kloss
36Asymmetric Huber distribution for geomagnetic data
Callum Watson
37A framework for determining Earth's magnetic field
Kuan Li
38Comprehensive Magnetic Field Inversion from 10 Years of Swarm Data
Lars Tøffner-Clausen
39Core magnetic field and associated surface flow variations from 1999 to 2023
Vincent Lesur
40Extraction of secular variation signals of geomagnetic field and evaluation of prediction accuracy of geomagnetic field models
Ning Mao
41Sensitivity of Auroral Zones to the Global Internally Generated Magnetic Field
Stefano Maffei
42Crustal magnetic field modelling to spherical harmonic degree 2000Callum Watson
43A cubed-sphere based regional model for lithospheric magnetic field
Liang Yin
45A new magnetic compilation of Greenland from airborne and satellite data by using equivalent source modeling and spherical harmonic expansion
Björn Heincke
46Efficient equivalent source processing of aeromagnetic and satellite magnetic data – a physics-based multi-layer approach
Wolfgang Szwillus
47Joint time-domain modelling magnetic field variations of ionospheric and magnetospheric origin. A concept and its implementation
Alexey Kuvshinov
48Sensitivity of Swarm satellite data to the electrical conductivity of the lower mantle
Jakub Velímský
49New electrical conductivity profile of the mantle constrained by the joint inversion of oceanic and magnetospheric magnetic signals observed by ESA Swarm
Alexander Grayver
50Rescaling of magnetic signals due to ocean circulation by assimilating Swarm satellite observations
Aaron Hornschild
51Swarm for Ocean Dynamics
Chris Finlay
52From a Swarm of satellites to a flock of birds
Ciaran Beggan
53Swarm Level 2 accelerometer data processing
Sergiy Svitlov
54How Swarm is important for improving drag modelling
Sabin Anton
55Numerical analysis of charged particle interactions with rarefied gas flow
Martin Macak
56Mission Synergies: Lessons learned from Swarm radiation pressure modelling for improving GOCE neutral thermosphere crosswind data products
Natalia Hladczuk
57NASA GDC Satellites as Sensors for Thermosphere Density and Drag Research
Jeff Thayer
58Thermosphere-Ionosphere Observing System Simulation Experiments
Timothy Kodikara
59Thermospheric Densities and Ionospheric Conditions During the Starlink Destruction Event
Daniel Billet
60The state of thermosphere, using ionosonde and Swarm C observations, during the storm of February 3, 2023 resulted in the loss of 38 SpaceX Starlink satellites
Loredana Perrone
61Space weather on Earth: how could we better preserve our technologies from space weather events?
Audrey Schillings
62Ion mass estimations by the Swarm electric field instrument (EFI)
Matthias Foerster
63Ten Years of Ionospheric Electrodynamics with Swarm - From Events to Statistics to Models
David Knudsen
64Swarm-based empirical models of high-latitude ionospheric electrodynamics
Spencer Hatch
65Leveraging the ESA’s Swarm overfly conditions to step into an Equatorial Plasma Bubble
Luca Spogli
66A study on the local time variation of the occurrence of equatorial plasma bubbles during various geomagnetic storms for the period from 2015 to 2022
Arathi S
67Plasma bubbles in the top side ionosphere: from automatic detection to possible sources
Giulia D'angelo
68VirES for Swarm & Virtual Research Environment: Serving Swarm data, models, and tools
Martin Pačes
69The Swarm data and software landscape in 2024 and beyond
Ashley Smith
70Spatial and temporal characteristics of ionospheric perturbations over regions of major thunderstorm cells
Ewa Slominska
71ESA Swarm 4D Ionosphere: outline of the five contributing studies
Elisabetta Iorfida
72Statistical study of the variability of ionospheric parameters measured by Swarm satellites
Daria Kotova
73A new approach to modeling the time-space variations of ionospheric electric currents and magnetic fields during the September 2017 geomagnetic storm
Martin Fillion
74100 000 whistlers detected during ASM burst mode campaigns: uncovering seasonal and solar cycle dependencies
Pierdavide Coïsson
75On the occurrence of unusual ELF signals in Swarm ASM burst mode data
Adam Emsley
76Multipoint observations of ULF waves at LEO
Balazs Heilig
77Ionosphere currents react to the solar eclipse on 21 June 2020
Fengjue Wang
78Swarm-E GPS Observations of the Polar Cap Ionosphere
Chris Watson
79Improving our understanding of the ionosphere by using Swarm mission as a constellation
Chao Xiong
80Separating magnetospheric, ionospheric and Earth-induced magnetic field contributions by joint analysis of Swarm satellite and ground observatory data
Nils Olsen
81A climatological model of the Equatorial Electrojet derived from Swarm satellite magnetic data
Chiara de Geeter
82QUID-REGIS: Quiet Ionospheric Disturbances - REsearch based on Ground-based mesospheric and Ionospheric data with Swarm data, project started in 2024.
Jaroslav Urbar
83Scaling Features of Magnetic Field Fluctuations in the Auroral and Polar Ionosphere
Simone Mestici
84The Time-Frequency Analysis (TFA) Toolbox: a Versatile Processing Tool for the Recognition of Magnetospheric and Ionospheric Signals in Swarm Time Series
Georgios Balasis
85Exploring a radial ionospheric current associated with the sunlight terminator
Kaitlin Dumoulin
86Swarm-E Observation of Ion Composition and Small (Decameter) Scale Plasma Density Irregularities: Variability over a Solar Cycle and Impact on Magnetosphere-Ionosphere-Thermosphere (MIT) Coupling in the Topside Ionosphere 
Andrew Yau
87Enhanced ionospheric density variability and RTK positioning uncertainty at dayside subauroral latitudes
Stephan Buchert
88Performance Assessment for Statistical Models of the Ionospheric Variability in the Topside Ionosphere 
Yaqi Jin
89Reconstructing the ionospheric and magnetospheric magnetic fields using observatory and satellite observations
Jingtao Min
90Detecting the Auroral Oval through Swarm ionospheric magnetic field measurements and CSES-01 electric field observations
Emanuele Papini
91Identification of STEVE-SAID Events in Swarm Data
Harshit Panwar
92Study the local time asymmetry of the Earth’s ring currents by magnetic surveys of multiple low-Earth-Orbit satellites
Jiaming Ou
93The global observation for lightning whistlers by ZH-1 satellite 
Qiao Wang
94Determination of field-aligned currents using the dual-spacecraft approach in the Swarm constellation mission
Guram Kervalishvili 
95Field Aligned Current density intensification during a substorm: Swarm observations 
Lorenzo Trenchi
96FBURST: A project joining Field Aligned Currents and Bursty Bulk Flows 
Vanina Lanabere
97How variable are Birkeland currents?
Johnathan Burchill
98Dipolar Spherical Elementary Current Systems (DSECS) toolbox for ionospheric current reconstructions 
Heikki Vanhamäki 
99Identification of Aurora in FAI Swarm-E Images Using a U-Net Machine Learning Model
Andrew Howarth
100A Machine Learning Model of High-Latitude Plasma Convection 
Levan Lomidze
101Pattern Recognition & Machine Learning Techniques for Automated Classification of Signals in Swarm Time Series 
Georgios Balasis
102Automatic detection of Pc1 pulsations in Swarm's high-frequency magnetic measurements 
Tamás Bozóki 

103Revealing the EMIC wave frequency differences in the ionosphere via coordinated observations: A case study 
Xin-Yan Ouyang
LEGO model of the magnetosphere 
Margot Decotte
105Characterizing Magnetospheric signals in the Geomagnetic observations
Yalei Shi
106The great potentiality of low earth orbiting satellite missions such as Swarm for detecting pre-earthquake ionospheric anomalies 
Angelo De Santis