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Record W2151715571

Atmospheric Temperature and Pressure Measurements from the ACE-MAESTRO Space Instrument

2006· article· en· W2151715571 on OpenAlexfundno aff
Caroline R. Nowlan

Bibliographic record

VenueTSpace · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyUniversity of TorontoCanadian Foundation for Climate and Atmospheric Sciences
KeywordsAtmospheric pressureEnvironmental scienceMaterials scienceMeteorologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

A method is developed and tested for determining atmospheric pressure and temperature from space using spectral absorption by the A and B bands of molecular oxygen as measured by the MAESTRO (Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation) space instrument in solar occultation mode. MAESTRO is the UV-visible-near-infrared dual grating spectrometer component of the Atmospheric Chemistry Experiment (ACE) scientific payload, and was launched in August 2003 on the SciSat satellite to investigate atmospheric processes affecting the stratospheric ozone distribution. On-orbit measurements of pressure and temperature are desirable for accurate retrievals of other atmospheric constituents from the instrument, and as independent data products. The constant mixing ratio of molecular oxygen is exploited in these retrievals to derive atmospheric density profiles from oxygen absorption, and the density profiles are then converted to pressure and temperature using hydrostatic balance and the ideal gas taw. A highly accurate fast forward model is developed using a fast-line-by-line approach for modelling the high spectral resolution oxygen absorption lines, and a correlated-k technique is used to calculate analytic weighting functions for the retrieval of density. A global fitting algorithm is developed to simultaneously fit all spectra from one occultation. Retrieval characterization shows a small amount of information is added by the inclusion of the weaker B band to a retrieval using the strong A band absorption, and tests with real data show the B band retrievals alone are less sensitive to instrument characterization uncertainties and perform better than A band retrievals at altitudes below 30 km. The new algorithm is applied to 230 occultation observations collected in the Arctic winter, Arctic spring, and tropical regions, and during the Eureka 2004 and 2005 ACE validation campaigns in the high Arctic. Comparisons with profiles from the ACE-FTS (Fourier Transform Spectrometer), also on SciSat, coincident radiosondes, and meteorological analyses yield promising results, with biases between MAESTRO's and other profiles generally within 2-5%, in pressure and less than 5 K in temperature, and Ri1IS differences between 2-10% in pressure and 5-10 K in temperature.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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.

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

Citations3
Published2006
Admission routes1
Has abstractyes

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