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Record W6990471060

Die Variabilitaet stratosphaerischen Ozons in einem 29-jaehrigen assimilierten Datensatz und Sensitivitaetsrechnungen

2011· dissertation· en· W6990471060 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMedia (https://www.suub.uni-bremen.de/) · 2011
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
Fundersnot available
KeywordsOzone layerStratosphereSatelliteData assimilationPolar vortexOzoneData setConjunction (astronomy)Backscatter (email)
DOInot available

Abstract

fetched live from OpenAlex

Consistent observation-based data sets of stratospheric ozone are needed in order to resolve many of the pending questions regarding stratospheric ozone. Satellite observations are available since the late 1970s; however, as most observational methods rely on backscattered sunlight, these do not provide complete long-term coverage of the stratosphere, in particular during polar night. In this PhD thesis, a 29 year data set of stratospheric ozone is introduced that has been generated from sequential assimilation of satellite observations into the Bremen 3D Chemistry Transport Model (CTM). In the method of data assimilation, a three-dimensional physical computer model is used to close the gaps between single measurements. Observations constrain the CTM where available, and at the same time the information is propagated into areas where no observations are available. Here, profile ozone observations from the Solar Backscatter UV (SBUV and SBUV/2) instruments are used, which have been in orbit continuously since 1978. The resulting assimilated data set is validated against independent observations from other satellite platforms and in-situ observations with sondes. Agreement to independent observations is excellent throughout most of the stratosphere, and the assimilated data set can thus be used as a consistent extension of the satellite record beyond the limits of data coverage. The assimilated data set, in conjunction with sensitivity calculations with the unconstrained CTM, is used to analyse the variability of stratospheric ozone during the last three decades on two distinctly different temporal and spatial domains. The first research question deals with the short-term variability of polar ozone during winter. The Arctic ozone layer is subject to large inter-annual variations during spring; although statistical connections between dynamical quantities in winter and springtime total ozone abundance are known, little is known about how ozone anomalies develop and evolve in winter. With its coverage of polar latitudes during winter, the assimilated data set is ideally suited to address this issue. It is shown that ozone anomalies usually originate in the mid- to upper stratosphere and subsequently descend to the lower stratosphere, displaying a long lifetime of around six months. Ozone anomalies are strongly interrelated to anomalies in the stratospheric circulation, expressed here by the Northern Hemisphere Annular Mode (NAM). Extreme phases of the NAM, so-called strong and weak vortex events, lead to the formation of large and distinctively shaped ozone anomalies that traverse most of the stratosphere within days to weeks, and subsequently remain significant for five months in the lowermost stratosphere. A deeper analysis reveals that different mechanisms of interaction between chemistry and dynamics lead to the observed ozone anomaly pattern. Another source of mid-stratospheric Arctic ozone anomalies is the precipitation of energetic particles from the sun. Solar proton events lead to the formation of nitrogen oxides in the upper stratosphere and mesosphere that subsequently propagate down into the polar vortex and cause significant negative ozone anomalies lasting for up to six months in the assimilated data set. In a second research question, the long-term evolution of ozone is analysed on a global basis. Stratospheric ozone showed large declines during the 1980s and 1990s in both hemispheres. As a consequence of the regulation of ozone depleting substances (ODSs) by the Montreal Protocol in 1987, stratospheric chlorine loadings have peaked in the late 1990s and since begun to slowly decrease. A levelling off of negative ozone trends has been detected, raising the question whether this is already an onset of chemical recovery. The long-term evolution of column ozone is captured very well in the assimilated data set and the unconstrained CTM. Sensitivity calculations with the unconstrained CTM allow for a diligent attribution of observed ozone trends to their processes of origin. In particular, the relative contributions of anthropogenic (emissions of ODSs) and natural (changes in stratospheric circulation and temperature) factors are quantified. While a large part of ozone decreases in the 1980s and 1990s is attributable to ODS increases, only very small effects of chemical recovery are seen after the ODS turnaround. A significant trend change is observed between the phases of increasing and decreasing ODS loadings; however, this trend change is partly related to dynamics, and hence cannot yet be taken as significant evidence for an onset of ozone recovery in most regions.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.021
GPT teacher head0.245
Teacher spread0.224 · 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