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Record W3123102781 · doi:10.5194/acp-2019-586

The efficiency of transport into the stratosphere via the Asian andNorth American summer monsoon circulations

2019· article· en· W3123102781 on OpenAlexfundno aff
Xiaolu Yan, Paul Konopka, Felix Ploeger, Aurélien Podglajen, Jonathon S. Wright, Rolf Müller, Martin Riese

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
FundersEuropean Centre for Medium-Range Weather ForecastsNational Natural Science Foundation of ChinaNational Key Research and Development Program of ChinaUniversity of WaterlooDeutsche ForschungsgemeinschaftNational Aeronautics and Space AdministrationNational Science Foundation
KeywordsStratosphereTroposphereTropopauseAtmospheric sciencesClimatologyEnvironmental scienceMonsoonEast Asian MonsoonGeology

Abstract

fetched live from OpenAlex

Abstract. Transport of pollutants into the stratosphere via the Asian summer monsoon (ASM) or North American summer monsoon (NASM) may affect the atmospheric composition and climate both locally and globally. We identify and study the robust characteristics of transport from the ASM and NASM regions to the stratosphere using the Lagrangian chemistry transport model CLaMS as driven by the ERA-Interim and MERRA-2 reanalyses. In particular, we investigate the relative influences of the ASM and NASM on stratospheric composition, the transport pathways by which these influences are effected, and the quantitative contributions and efficiencies of transport from different altitudes in these two monsoon regions to the stratosphere. We release artificial tracers in several vertical layers from the middle troposphere to the lower stratosphere in both ASM and NASM source regions during July and August 2010–2013 and track their evolution until the following summer. We find that the magnitude of transport from the ASM and NASM regions to the tropical stratosphere, and even to the Southern Hemispheric stratosphere, is higher when the tracers are released at the 350–360 K level. For tracers released close to the tropopause (370–380 K), transport is primarily into the Northern Hemispheric stratosphere. Results for different vertical layers or air origin reveal two transport pathways from the upper troposphere over the ASM and NASM regions to the tropical pipe: (i) quasi-horizontal transport to the tropics below the tropopause followed by ascent to the stratosphere via tropical upwelling, and (ii) ascent into the stratosphere inside the ASM/NASM followed by quasi-horizontal transport to the tropical lower stratosphere and tropical pipe. The tropical pathway (i) is faster than the monsoon pathway (ii), particularly in the ascending branch. Ultimately, the abundance of air in the tropical pipe that originates in the ASM upper troposphere (350–360 K, ~ 5 %) is comparable to that of air ascending directly from the tropics ten months after the release of the source tracers. By contrast, the air mass contributions from the ASM to the tropical pipe are about three times larger than the corresponding contribution from the NASM (~ 1.5 %). The transport efficiency into the tropical pipe, normalized by the mass of the domain, is greatest from the ASM region at 370–380 K. Transport from the ASM to the tropical pipe is almost twice as efficient as transport from the NASM or tropics to the tropical pipe. Although the contribution from the NASM to the stratosphere is less than that from either the ASM or the tropics, the transport efficiency from the NASM is comparable to that from the tropics.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.205
Teacher spread0.198 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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