Impact of Asian pollution on the UTLS derived from in situ observations of a wide range of trace gases during the HALO PHILEAS mission in autumn 2023
Bibliographic record
Abstract
Due to fast industrial growth and a high population density East Asia has become one of the most polluted regions on Earth. In combination with the world’s largest convective system, the Asian summer monsoon (ASM), East Asia now is the most significant source region of pollutants entering the upper troposphere and lower stratosphere (UTLS). Thus, understanding their transport pathways and the corresponding time scales of their transport and mixing into the UTLS as well as their impact on the UTLS’s sensitive chemical composition is of crucial importance for precise climate predictions but is not yet fully achieved.To tackle these questions we use in situ measurements of our multi tracer instrument HAGAR-V (High Altitude Gas Analyzer – 5 channel version) during the German research aircraft HALO mission PHILEAS in August/September 2023. Flights from Germany and from Alaska targeted plumes and filaments of ASM air masses in the UTLS above the Mediterranean, the North Pacific, Alaska and Canada. HAGAR-V measured a suite of 30 trace gases including very short-lived NMHCs (e.g. Benzene, C2H2, C4H10), halogenated VOC (e.g. CH2Cl2, CHCl3, C2Cl4, CH2Br2), as well as longer-lived halocarbons (e.g. CH3Cl, CH3Br, CCl4, Halons, HCFCs, and HFCs) every 120 s using in-flight gas chromatography and mass spectrometry. Further long-lived species, including the age-of-air tracer SF6, were measured every 40 s (F12, SF6) and every 80 s (F11, F113, H1211) using electron capture detection.Tracer-tracer relations of species with different source regions and/or atmospheric lifetimes provide insight on sampled air mass origin, mixing, and transport times from the source region to the location of measurement. As shown by Lauther et al. (ACP, 2022) CH2Cl2 is an ideal anthropogenic tracer to identify air masses originating from the ASM region. In the UTLS we find increases of CH2Cl2 by up to 500 % compared to tropospheric background correlating well with other species like SF6, HCFC22, CHCl3, C2Cl4, C2H2, Benzene, and C2H5Cl. The latter three species have tropospheric lifetimes of days to weeks implying that such correlations suggest fast transport from the ASM region to the UTLS. Furthermore, up to 1 ppt enhancement of SF6 in air masses originating from the ASM region suggest a significant ASM-induced negative bias in mean age of air derived from SF6.Tracer-tracer relations of ASM-enhanced short-lived tracers (e.g. CH2Cl2, CHCl3) with long-lived tracers (e.g. F12, N2O) indicate isentropic mixing of polluted air masses into the stratospheric background. In addition, species with more diverse source regions like CH3Br (rural anthropogenic, biomass burning and oceanic), CHCl3 (industrial, soil, and oceanic), CH2Br2 (mainly oceanic), or C2H2 (anthropogenic combustion and biomass burning) yield several different correlation slopes against CH2Cl2. These relations provide an empirical tool that, along with simulated surface origin tracers of the CLaMS (Chemical Lagrangian Model of the Stratosphere) model, further helps to distinguish the origin of the sampled air masses.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".