Interpretation of the High Resolution, Multivariate Mt. Logan (Yukon Territory) Ice Core - A Record of North Pacific Climate and Atmospheric Chemistry
Notice bibliographique
Résumé
The recently developed Mt. Logan ice core glaciochemical dataset provides an unprecedented opportunity to understand Holocene climate change and the sources and fluxes of natural and anthropogenic chemicals in the North Pacific atmosphere. The 185 m-long ice core has been sampled at very high resolution using a refined and updated continuous ice core melter system, and analyzed for over 40 chemical species, including major ions, trace elements, rare earth elements, and stable isotopes. Subseasonal samples spanning the top ~500 years allow for annual layer counting, followed by ice flow modeling for the remainder of the timescale spanning the Holocene and portions of the late glacial period. Its continuous and high-resolution samples, breadth of co-registered chemical measurements, time span and location in the North Pacific free troposphere make the Mt. Logan glaciochemical dataset a new benchmark in ice core analyses with the potential for understanding paleoclimate variability and atmospheric chemistry far beyond the boundaries of the soon to be completed initial project. Interpretation of the new Mt. Logan record suggests that anthropogenic pollutants from Asia.have contaminated the North Pacific free troposphere since the early 1970s. Mt. Logan dust and sea-salt concentrations show statistically significant correlations to atmospheric pressure centers over their Asian desert and Pacific Ocean source regions, respectively. Funds are requested for a graduate student, and subsequent post-doctoral researcher, to continue interpretation of this unique record, and produce additional chemical time series from existing samples and archived core. This graduate student was responsible for expanding the University of Maine capabilities continuous ice melter system, producing the Mt. Logan glaciochemical record, and interpreting the dataset, and consequently has pre-existing, extensive knowledge of the dataset and the study area.Intellectual Merit of the Proposed Activity: This research will build upon previousinterpretations of the Mt. Logan record, while adding specific new time series to clarify the sources of Asian anthropogenic metals and natural dust. It will directly contribute to the understanding of: 1) Anthropogenic and natural aerosol emissions and their sources, particularly from Asia,2) Millennial scale Northern Hemisphere Holocene climate variability and forcing mechanisms,3) Annual to decadal scale North Pacific Holocene climate variability and forcing mechanisms,4) Recent climate change in the North Pacific that is climatologically linked to Earth's, thus far, region of greatest response to greenhouse gas warming, the Arctic. Using multivariate statistics and time series analyses, the timing, intensity and forcing mechanisms of North Pacific annual to millennial climate fluctuations will be investigated by comparing the Mt. Logan summit record to regional proxy records from ice cores at lower elevations, tree rings, lake and marine sediment cores, glaciers, and existing climate forcing records. Links between northern hemisphere and tropical climate patterns and the nature of global Holocene climate shifts will be investigated by comparing the Mt. Logan record to ice core and paleoclimate proxy records from globally distributed locations.Broader Impacts: Interpretations from this record will contribute to understand the potential for future climate changes over North America, the Pacific and Asia, and the impact of land-use changes and industrialization by Asian countries on the North American atmosphere. All data produced by this project will be provided to WDC-A for Glaciology and WDC for paleoclimatology.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».