Ableitung von den Charakteristiken des stratospherischen Aerosols von Weltraummessungen in Limbgeometrie
Bibliographic record
Abstract
In this thesis, the methods to retrieve aerosol extinction coefficient (Ext) and particle size distribution (PSD) parameters from the remote sensing instruments measuring in the limb-viewing geometry are presented. The Ext retrieval algorithm is applied for SCIAMACHY instrument as well as for OMPS measurements. These products compose global stratospheric aerosol databases, which are covering over 16 years. Additionally, the aerosol PSD parameters are retrieved in the tropical region (20AAdegreeN-20AAdegreeS) from SCIAMACHY limb measurements, creating a unique product. Both, Ext and PSD products were validated through comparison with other space-borne and in situ measurements, showing good and consistent results. In the thesis, the case studies analyzing changes in Ext and PSD parameters after volcanic eruptions of Manam and Tavurvur are presented. Additionally, the evolution of Ext after eruptions of Sarychev Peak and Kelut as well as after Canadian Wildfires of 2017 is analyzed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".