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Record W4302366474 · doi:10.5445/ir/110071494

MIPAS: an instrument for atmospheric and climate research

2008· article· en· W4302366474 on OpenAlex
Héden Cardoso Rodrigues Fischer, M. Birk, T. von Clarmann, L. Delbouille, M. López‐Puertas, H. Nett, Gaétan Perron, J. J. Remedios, Maria Elena Ridolfi, G. P. Stiller

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRepository KITopen (Karlsruhe Institute of Technology) · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsABB (Canada)
FundersNatural Environment Research CouncilBundesministerium für Bildung und Forschung
KeywordsAtmospheric researchEnvironmental scienceAtmospheric pollutionRemote sensingAtmospheric sciencesMeteorologyGeographyPhysicsPollution

Abstract

fetched live from OpenAlex

MIPAS, the Michelson Interferometer for Passive
\nAtmospheric Sounding, is a mid-infrared emission
\nspectrometer which is part of the core payload of ENVISAT.
\nIt is a limb sounder, i.e. it scans across the horizon detecting
\natmospheric spectral radiances which are inverted to vertical
\ntemperature, trace species and cloud distributions. These
\ndata can be used for scientific investigations in various research
\nfields including dynamics and chemistry in the altitude
\nregion between upper troposphere and lower thermosphere.
\nThe instrument is a well calibrated and characterized
\nFourier transform spectrometer which is able to detect many
\ntrace constituents simultaneously. The different concepts of
\nretrieval methods are described including multi-target and
\ntwo-dimensional retrievals. Operationally generated data
\nsets consist of temperature, H2O, O3, CH4, N2O, HNO3,
\nand NO2 profiles. Measurement errors are investigated in detail
\nand random and systematic errors are specified. The results
\nare validated by independent instrumentation which has
\nbeen operated at ground stations or aboard balloon gondolas
\nand aircraft. Intercomparisons of MIPAS measurements with
\nother satellite data have been carried out, too. As a result, it has been proven that the MIPAS data are of good quality.
\nMIPAS can be operated in different measurement modes
\nin order to optimize the scientific output. Due to the wealth
\nof information in the MIPAS spectra, many scientific results
\nhave already been published. They include intercomparisons
\nof temperature distributions with ECMWF data,
\nthe derivation of the whole NOy family, the study of atmospheric
\nprocesses during the Antarctic vortex split in September
\n2002, the determination of properties of Polar Stratospheric
\nClouds, the downward transport of NOx in the middle
\natmosphere, the stratosphere-troposphere exchange, the
\ninfluence of solar variability on the middle atmosphere, and
\nthe observation of Non-LTE effects in the mesosphere.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.281
Teacher spread0.240 · 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