Ableitung von den Charakteristiken des stratospherischen Aerosols von Weltraummessungen in Limbgeometrie
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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 it