Long-term trends and radiative impact in vertically resolved stratospheric water vapour from ESA WV_cci data records
Bibliographic record
Abstract
Water vapour in the upper troposphere and stratosphere has a significant impact both on theradiative and chemical properties of the atmosphere. Reliable water vapour climate data records(CDRs) are essential for use in climate research, to assess vertically resolved trends and associatedradiative impacts. Within the ESA Water Vapour Climate Change Initiative (WV_cci), new verticallyresolved water vapour CDRs in the stratosphere and UTLS were merged from a range of satelliteobservations. In this contribution, we provide an overview of these CDRs, highlighting innovationsin the merging methodologies and results from a detailed quality assessment. In particular, thelong-term trends derived from the new water vapour CDRs are compared to other mergeddatasets, reanalyses, and simulations from chemistry-climate models, with the ESA WV_cci CDRsdeemed to be valuable new datasets for climate studies. We conclude that, mostly driven bydynamical variability, the derived water vapour trends vary significantly depending on the datasetused, chosen time period and location in the atmosphere. Using an off-line radiative transfermodel, we estimate the consequence of these differences on the radiative forcing from watervapour changes in the upper troposphere and stratosphere over the past 30+ years.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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.
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 teacher head, 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".