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Record W3045734316

GGOS Focus Area on Geodetic Space Weather Research

2018· article· en· W3045734316 on OpenAlexaboutno aff
Michael Schmidt

Bibliographic record

VenueVBN Forskningsportal (Aalborg Universitet) · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeophysics and Gravity Measurements
Canadian institutionsnot available
Fundersnot available
KeywordsGeodetic datumFocus (optics)Space (punctuation)MeteorologyGeodesyComputer scienceGeologyGeographyPhysicsOperating system
DOInot available

Abstract

fetched live from OpenAlex

Space weather means today an independent, very up-to-date and interdisciplinary field of research. It describes physical processes in space mainly caused by the Sun’s radiation of energy. The manifestations of space weather are multiple, for instance, variations of the Earth’s magnetic field, polar lights in the northern and southern hemisphere, variations of the upper atmosphere with the compartments magnetosphere, ionosphere and thermosphere (MIT system) (due to coupling processes), solar wind, i.e. the permanent emission of electrons and photons, interplanetary magnetic field, electric currents. The interplanetary magnetic field (IMF) is the component of the solar magnetic field that is dragged out from the solar corona by the solar wind flow. The most extreme known space weather event happened on September 1, 1859 – the Carrington storm: a solar coronal mass ejection (CME) hit the Earth’s magnetosphere and induced the largest registered geomagnetic storm. Other prominent recent, but much weaker events have been the Halloween storm on October 28 – 30, 2003, or the St. Patrick’s storm on March 17, 2015. In early February 2022, the poor understanding of thermospheric neutral density changes, caused by unexpected magnetic storms, resulted in the accidental re-entry of 38 Starlink satellites with the cost of more than 10 million EUR. More than 900,000 small debris objects with a radius of at least 1 cm are currently orbiting uncontrolled in the upper atmosphere, which are potential treats to operational satellites. The strength of these events, their impacts on modern society and the possibility of much stronger future events have brought several countries such as US, UK, Japan, Canada, and China to recognize the necessity of studying these impacts scientifically, of developing protection strategies and procedures and to establish space weather data centers and space weather services. Because of these activities the FA-GSWR was initiated. For a long time, geodesists looked at the ionosphere just as a disturbing factor, whose impacts on electromagnetic signal propagation, i.e. the signal delay and the bending of the ray path, have to be corrected by applying ionospheric correction models of sufficient accuracy. On the other hand, as already mentioned before, the observation data of various geodetic measurement techniques that are influenced by the atmosphere in different ways provide valuable information on state and dynamics of the ionosphere. These are of great interest also for other disciplines such as meteorology. The following statements summarize the necessity of geodesy to cover scientific research on the coupled processes within the magnetosphere, ionosphere/plasmasphere, and thermosphere (MIT): Geodesy has to deal with the ionosphere and plasmasphere, since the measurements of almost all space-geodetic observation techniques are depending on the charging state of the upper atmosphere, i.e. the ionosphere and plasmasphere, to deal with the thermosphere, since the thermospheric drag is the most important deceleration effect on Low-Earth Orbiting (LEO) satellites and objects in the re-entry stage, to deal with the magnetosphere as it comprises the ionosphere, plasmasphere and thermosphere, a long history and large experience in the development and application of sophisticated analysis techniques and modelling approaches. Today, for Geodetic Space Weather Research geodesy has to go another step forward by introducing physics. To be more specific, we must consider the complete chain of cause and effect. This means the research has to start with processes and events on the Sun. Next, it has to continue with the effects in the near-Earth space and finally it has to consider the impact on (geodetic) applications and systems. Besides this general chain of cause-and-effect interactions, physics and especially the coupled processes within the MIT system have to be regarded. Geodetic Space Weather Research is fundamental research, too, particularly when intending to detect and to survey structures of the ionosphere, e.g. bubbles, or when studying special phenomena like electro-jets. Summarizing, geodetic space weather research has to be based on the use and combination of all space geodetic observation methods, the use of Sun observations, real-time modelling, the development of deterministic and stochastic forecast approaches including Machine Learning (ML) algorithms, assimilation strategies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.254
Threshold uncertainty score0.848

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2540.214

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.249
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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