MétaCan
Menu
Retour à la cohorte
Enregistrement W6966623013 · doi:10.48350/192553

The high resolution NEEM aerosol records over the last 3000 years: A new approach to determine wildfire frequency

2013· dissertation· en· W6966623013 sur OpenAlexaboutno aff

Notice bibliographique

RevueBern Open Repository and Information System (University of Bern) · 2013
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueFire effects on ecosystems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAerosolHigh resolutionSatelliteResolution (logic)Air pollution

Résumé

récupéré en direct d'OpenAlex

The importance of atmospheric aerosols and associated chemical processes as important drivers of climate change has been recognised, although their effect on the Earth’s radiative forcing is difficult to quantify and is therefore associated with large uncertainties. Episodic events, such as volcanic eruptions, emit considerable amounts of aerosols into the troposphere, or even into the lower stratosphere, where they disperse and can have an impact on climatic parameters, such as temperature and precipitation. Anomalies in climate parameters such as sea level pressure or surface temperatures can, have an influence on the manifestation of atmospheric patterns, which trigger extreme events. Teleconnection such as these modulate climate variability on different temporal and spatial scales. The occurrence of extensive wildfires on the North American continent, for example, has been associated with anomalies in the El Ni˜no Southern Oscillation/Pacific Decadal Oscillation (ENSO/PDO) and Arctic Oscillation (AO) patterns, causing drought conditions over extensive areas. In case of abundant fuel availability, areas of several 1000 km2 are then ignited. The fire plume containing a wealth of gaseous and particulate chemical species, which are subject to chemical reactions forming aerosols. These aerosols can, if the prevailing atmospheric conditions are favourable, i.e. if the wind tracks are directed accordingly and if rain does not scavenge the aerosols en route, be transported over large distances and thus reach Greenland, where they are eventually deposited and incorporated into the ice matrix. One example of a precursour gas emitted during biomass burning is ammonia NH3, one of the most abundant gaseous bases in the troposphere and thus highly important in the neutralisation of acidic aerosols. NH3 is rapidly transformed to ammonium NH+4 , which is incorporated into aerosols and can thus be transported to Greenland. NH3 is not only emitted during wildfires, but shows a distinctive cycle following biological activity peaking in late spring to early summer and remaining low during winter months. The Bern system for continuous flow analysis (CFA) was deployed in the camp of the North Greenland Eemian Ice Drilling (NEEM) project during the summers from 2009-2011 to analyse concentrations of aerosol constituents incorporated in the ice. Among other species, concentrations of NH+4 have been analysed. They show the distinct seasonal cycle with concentrations of 6 ppb in summer and 1 ppb in winter. However, from May through August of some years, concentrations are considerably higher, by up to 40 times compared to the natural background. These higher concentrations during the fire season are associated with biomass burning in northern North America and Canada. The NH+4 record from the Greenland ice sheet was therefore suggested to yield the biomass burning history of Canada. Additionally, the reconstruction of wildfire frequency yields information on past wildfire occurrence related to changes in climate. In order to examine the frequency of seasonal, episodic extreme events such as wildfires, a record of sub-seasonal resolution from a stratified and dated archive is necessary. Ice cores comply with the demands on the archive, and NH3 analysed with CFA complies with the demand on the resolution. The aim of this thesis was to establish a fire frequency over the late Holocene. For this purpose, the NH+4 data have been divided into a background trend and residuals, which also contain the extreme events using Singular Spectrum Analysis (SSA). Setting a running median threshold further distinguished the residuals from the extreme values. Correcting the extreme events for volcanic eruptions yields a biomass burning frequency over the last 3 kyr. However, due to the small number of events, the frequency is not representative. After testing the method on a published history of volcanic eruptions, we conclude, that the method to derive the frequency of extreme events is successful, but that only very few wildfire events are recorded in the Greenland ice.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,767
Score d'incertitude au seuil0,956

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,003
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,001

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,178
Écart entre enseignants0,171 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2013
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBern Open Repository and Information System (University of Bern)Même sujetFire effects on ecosystemsTravaux en français237 207