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Record W4280499099 · doi:10.1029/2022gl098485

Variations in Vertical CO/CO<sub>2</sub> Profiles in the Martian Mesosphere and Lower Thermosphere Measured by the ExoMars TGO/NOMAD: Implications of Variations in Eddy Diffusion Coefficient

2022· article· en· W4280499099 on OpenAlexfundno aff
Nao Yoshida, Hiromu Nakagawa, Shohei Aoki, Justin Erwin, Ann Carine Vandaele, Frank Daerden, Ian Thomas, Loïc Trompet, Shungo Koyama, Naoki Terada, Lori Neary, Isao Murata, Gerónimo Villanueva, Giuliano Liuzzi, M. Á. López‐Valverde, Adrián Brines, Ashimananda Modak, Yasumasa Kasaba, Bojan Ristic, G. Bellucci, J. J. López‐Moreno, Manish Patel

Bibliographic record

VenueGeophysical Research Letters · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
FundersInstituto de Astrofísica de AndalucíaMinisterio de Ciencia e InnovaciónCanadian Space AgencyUK Space AgencyBelgian Federal Science Policy OfficeFonds De La Recherche Scientifique - FNRSJapan Society for the Promotion of ScienceMinisterio de Ciencia, Innovación y UniversidadesNational Aeronautics and Space Administration
KeywordsEddy diffusionThermosphereMartianAtmospheric sciencesMars Exploration ProgramSouthern HemisphereMesosphereNorthern HemisphereAltitude (triangle)LatitudeAtmosphere of MarsDiffusionGeologyNadirAtmosphere (unit)Environmental scienceGeophysicsAstrobiologyPhysicsClimatologyIonosphereGeodesyStratosphereMeteorologyTurbulenceAstronomyThermodynamicsSatellite

Abstract

fetched live from OpenAlex

Abstract Using the Nadir and Occultation for MArs Discovery instrument aboard Trace Gas Orbiter, we derived the CO/CO 2 profiles between 75 and 105 km altitude with the equivalent width technique. The derived CO/CO 2 profiles showed significant seasonal variations in the southern hemisphere with decreases near perihelion and increases near aphelion. The estimation of the CO/CO 2 profiles with a one‐dimensional photochemical model shows that an altitude‐dependent eddy diffusion coefficient better reproduces the observed profiles than a vertically uniform one. Our estimation suggests that the eddy diffusion coefficient in L s = 240–270 is uniformly larger by a factor of ∼2 than that in L s = 90–120 in the southern hemisphere, while they are comparable in the northern hemisphere. This fact demonstrates that the eddy diffusion coefficient is variable with season and latitude.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations14
Published2022
Admission routes1
Has abstractyes

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