| Poster Title | Author |
| 1 | Swarm Mission status and future prospectives
| Anja Strømme |
| 2 | SWARM satellites 10 years in orbit - status and forecast
| Thomas Usbeck |
| 3 | Operating a satellite constellation: how we keep Swarm flying
| Giuseppe Albini |
| 4 | Swarm constellation orbital evolution under scientific and operational constraints
| Francesco Petrucciani |
| 5 | ASM status after 10 years of operation on-board the Swarm satellites
| Thomas Jager |
| 6 | The performance of the Vector Field Magnetometer on the ESA Swarm mission
| Jose M. G. Merayo |
| 7 | Solar System Dust Detection from Swarm Navigation Cameras – A Potential Science Add-On
| Peter S. Jørgensen |
| 8 | 10 years of Swarm PDGS Operations: Lessons Learned
| Livia D'Alba |
| 9 | Swarm instruments, processors and data quality after 10 years in Space
| Nicola Comparetti |
| 10 | Adding high energy particle mapping to the Swarm observations suite
| John Jørgensen |
| 11 | Review of the magnetic perturbation model of the Swarm Satellites
| Peter Brauer |
| 12 | Latest Investigations into dB_Sun Disturbance
| Lars Tøffner-Clausen |
| 13 | Swarm Langmuir Probes and plasma data processing in 10 years
| Stephan Buchert |
| 14 | Implementation of the Swarm FAST Processing Pipeline
| Alessandro Maltese |
| 15 | Swarm Fast data processing chain
| Roberta Forte |
| 16 | Verification and validation of Swarm L1b FAST products
| Ingo Michaelis |
| 17 | Exploring the Swarm-Echo/e-POP Dataset: Tools for Accessing, Visualization, and Analysis
| Andrew White
|
| 18 | Noise removal to improve the Swarm-Echo magnetic field data
| David Miles |
| 19 | Co-estimation of geomagnetic field and magnetometer calibration parameters using data from Swarm-Echo
| Robert Broadfoot |
| 20 | Magnetic Anomaly Navigation with Quantum Sensors for Commercial Aircrafts
| Antonia Hager |
| 21 | Satellite Laser Ranging to Swarm satellites: validation, modeling of systematic effects, determination of global geodetic parameters, and realization of terrestrial reference frame
| Dariusz Strugarek |
| 22 | Initial Study of Novel Quantum Diamond-based Sensors aboard the ISS for Future Earth Observation Missions
| Jaroslav Hruby |
| 24 | Comparison of scalar magnetic field data of China Seismo-Electromagnetic, Macao Science and Swarm satellites
| Alexander Betzler |
| 25 | Noise features of the MSS-1 vector magnetometer
| Fan Yin |
| 26 | Core flow ingredient: sensitivity to the geodynamo priors
| Hannah Rogers |
| 27 | Swarm and its role in understanding a 6-year oscillation in the Earth’s system
| Mioara Mandea |
| 28 | Novel Earth-like magnetic field morphological criteria from Modern to Pleistocene eras
| Filipe Terra-nova |
| 29 | Flow at the top of the free stream in geodynamo simulations
| Dominique Jault |
| 30 | Magnetic eigenmodes in the plesio-geostrophic model
| Jingtao Min |
| 31 | Determining the dynamics at the core mantle boundary using Physics-Informed Machine Learning
| Naomi Shakespeare-Rees |
| 32 | Estimating core dynamics via the assimilation of magnetic field models into numerical dynamos
| Kyle Gwirtz |
| 33 | Using SOLA for investigating rapid fluctuations of outer core surface flow
| Hannah Rogers |
| 34 | Simple Geomagnetic Field Model Forecast Assessments: Auto-regressive Methods and Machine Learning
| Martin Rother |
| 35 | Studying time-correlated errors derived from Swarm vector residuals to improve uncertainty estimates of geomagnetic field models
| Clemens Kloss |
| 36 | Asymmetric Huber distribution for geomagnetic data
| Callum Watson |
| 37 | A framework for determining Earth's magnetic field
| Kuan Li |
| 38 | Comprehensive Magnetic Field Inversion from 10 Years of Swarm Data
| Lars Tøffner-Clausen |
| 39 | Core magnetic field and associated surface flow variations from 1999 to 2023
| Vincent Lesur |
| 40 | Extraction of secular variation signals of geomagnetic field and evaluation of prediction accuracy of geomagnetic field models
| Ning Mao |
| 41 | Sensitivity of Auroral Zones to the Global Internally Generated Magnetic Field
| Stefano Maffei |
| 42 | Crustal magnetic field modelling to spherical harmonic degree 2000 | Callum Watson |
| 43 | A cubed-sphere based regional model for lithospheric magnetic field
| Liang Yin |
| 45 | A new magnetic compilation of Greenland from airborne and satellite data by using equivalent source modeling and spherical harmonic expansion
| Björn Heincke |
| 46 | Efficient equivalent source processing of aeromagnetic and satellite magnetic data – a physics-based multi-layer approach
| Wolfgang Szwillus |
| 47 | Joint time-domain modelling magnetic field variations of ionospheric and magnetospheric origin. A concept and its implementation
| Alexey Kuvshinov |
| 48 | Sensitivity of Swarm satellite data to the electrical conductivity of the lower mantle
| Jakub Velímský |
| 49 | New electrical conductivity profile of the mantle constrained by the joint inversion of oceanic and magnetospheric magnetic signals observed by ESA Swarm
| Alexander Grayver |
| 50 | Rescaling of magnetic signals due to ocean circulation by assimilating Swarm satellite observations
| Aaron Hornschild |
| 51 | Swarm for Ocean Dynamics
| Chris Finlay |
| 52 | From a Swarm of satellites to a flock of birds
| Ciaran Beggan |
| 53 | Swarm Level 2 accelerometer data processing
| Sergiy Svitlov |
| 54 | How Swarm is important for improving drag modelling
| Sabin Anton |
| 55 | Numerical analysis of charged particle interactions with rarefied gas flow
| Martin Macak |
| 56 | Mission Synergies: Lessons learned from Swarm radiation pressure modelling for improving GOCE neutral thermosphere crosswind data products
| Natalia Hladczuk |
| 57 | NASA GDC Satellites as Sensors for Thermosphere Density and Drag Research
| Jeff Thayer |
| 58 | Thermosphere-Ionosphere Observing System Simulation Experiments
| Timothy Kodikara |
| 59 | Thermospheric Densities and Ionospheric Conditions During the Starlink Destruction Event
| Daniel Billet |
| 60 | The 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 |
| 61 | Space weather on Earth: how could we better preserve our technologies from space weather events?
| Audrey Schillings |
| 62 | Ion mass estimations by the Swarm electric field instrument (EFI)
| Matthias Foerster |
| 63 | Ten Years of Ionospheric Electrodynamics with Swarm - From Events to Statistics to Models
| David Knudsen |
| 64 | Swarm-based empirical models of high-latitude ionospheric electrodynamics
| Spencer Hatch |
| 65 | Leveraging the ESA’s Swarm overfly conditions to step into an Equatorial Plasma Bubble
| Luca Spogli |
| 66 | A 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 |
| 67 | Plasma bubbles in the top side ionosphere: from automatic detection to possible sources
| Giulia D'angelo |
| 68 | VirES for Swarm & Virtual Research Environment: Serving Swarm data, models, and tools
| Martin Pačes |
| 69 | The Swarm data and software landscape in 2024 and beyond
| Ashley Smith |
| 70 | Spatial and temporal characteristics of ionospheric perturbations over regions of major thunderstorm cells
| Ewa Slominska |
| 71 | ESA Swarm 4D Ionosphere: outline of the five contributing studies
| Elisabetta Iorfida |
| 72 | Statistical study of the variability of ionospheric parameters measured by Swarm satellites
| Daria Kotova |
| 73 | A new approach to modeling the time-space variations of ionospheric electric currents and magnetic fields during the September 2017 geomagnetic storm
| Martin Fillion |
| 74 | 100 000 whistlers detected during ASM burst mode campaigns: uncovering seasonal and solar cycle dependencies
| Pierdavide Coïsson |
| 75 | On the occurrence of unusual ELF signals in Swarm ASM burst mode data
| Adam Emsley |
| 76 | Multipoint observations of ULF waves at LEO
| Balazs Heilig |
| 77 | Ionosphere currents react to the solar eclipse on 21 June 2020
| Fengjue Wang |
| 78 | Swarm-E GPS Observations of the Polar Cap Ionosphere
| Chris Watson |
| 79 | Improving our understanding of the ionosphere by using Swarm mission as a constellation
| Chao Xiong |
| 80 | Separating magnetospheric, ionospheric and Earth-induced magnetic field contributions by joint analysis of Swarm satellite and ground observatory data
| Nils Olsen |
| 81 | A climatological model of the Equatorial Electrojet derived from Swarm satellite magnetic data
| Chiara de Geeter |
| 82 | QUID-REGIS: Quiet Ionospheric Disturbances - REsearch based on Ground-based mesospheric and Ionospheric data with Swarm data, project started in 2024.
| Jaroslav Urbar |
| 83 | Scaling Features of Magnetic Field Fluctuations in the Auroral and Polar Ionosphere
| Simone Mestici |
| 84 | The Time-Frequency Analysis (TFA) Toolbox: a Versatile Processing Tool for the Recognition of Magnetospheric and Ionospheric Signals in Swarm Time Series
| Georgios Balasis |
| 85 | Exploring a radial ionospheric current associated with the sunlight terminator
| Kaitlin Dumoulin |
| 86 | Swarm-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 |
| 87 | Enhanced ionospheric density variability and RTK positioning uncertainty at dayside subauroral latitudes
| Stephan Buchert |
| 88 | Performance Assessment for Statistical Models of the Ionospheric Variability in the Topside Ionosphere
| Yaqi Jin |
| 89 | Reconstructing the ionospheric and magnetospheric magnetic fields using observatory and satellite observations
| Jingtao Min |
| 90 | Detecting the Auroral Oval through Swarm ionospheric magnetic field measurements and CSES-01 electric field observations
| Emanuele Papini |
| 91 | Identification of STEVE-SAID Events in Swarm Data
| Harshit Panwar |
| 92 | Study the local time asymmetry of the Earth’s ring currents by magnetic surveys of multiple low-Earth-Orbit satellites
| Jiaming Ou |
| 93 | The global observation for lightning whistlers by ZH-1 satellite
| Qiao Wang
|
| 94 | Determination of field-aligned currents using the dual-spacecraft approach in the Swarm constellation mission
| Guram Kervalishvili |
| 95 | Field Aligned Current density intensification during a substorm: Swarm observations
| Lorenzo Trenchi |
| 96 | FBURST: A project joining Field Aligned Currents and Bursty Bulk Flows
| Vanina Lanabere
|
| 97 | How variable are Birkeland currents?
| Johnathan Burchill |
| 98 | Dipolar Spherical Elementary Current Systems (DSECS) toolbox for ionospheric current reconstructions
| Heikki Vanhamäki |
| 99 | Identification of Aurora in FAI Swarm-E Images Using a U-Net Machine Learning Model
| Andrew Howarth |
| 100 | A Machine Learning Model of High-Latitude Plasma Convection
| Levan Lomidze |
| 101 | Pattern Recognition & Machine Learning Techniques for Automated Classification of Signals in Swarm Time Series
| Georgios Balasis |
| 102 | Automatic detection of Pc1 pulsations in Swarm's high-frequency magnetic measurements
| Tamás Bozóki
|
| 103 | Revealing the EMIC wave frequency differences in the ionosphere via coordinated observations: A case study
| Xin-Yan Ouyang
|
| 104 | LEGO model of the magnetosphere
| Margot Decotte
|
| 105 | Characterizing Magnetospheric signals in the Geomagnetic observations
| Yalei Shi |
| 106 | The great potentiality of low earth orbiting satellite missions such as Swarm for detecting pre-earthquake ionospheric anomalies
| Angelo De Santis |