Radiative Forcing & Feedback through the Lens of Solar Geoengineering
Notice bibliographique
Résumé
Global, annual mean surface temperature continues to rise in the wake of the Paris Agreement goal of limiting warming to 2.C and pursing efforts to limit warming to less than 1.5 C. Research paradigms have arisen to analyze projections of future warming, as well as understanding the drivers of anthropogenic climate change since the preindustrial era. One \nsuch paradigm is the characterization of anthropogenic emissions of greenhouse gases as an external radiative forcing on the climate system, as well as feedbacks from the climate response to forcing that augment the rate in which the Earth system reestablishes energy balance. As surface temperatures rise, solar geoengineering has been proposed as a means \nto deliberately alter Earth’s energy balance and achieve Paris Agreement goals through reducing the amount of incoming shortwave radiation from reaching the surface. Through the lens of the conventional forcing-feedback framework, solar geoengineering is challenging to frame due to the purposeful introduction of an external forcing in order to suppress \nsurface warming, and therefore feedback. Furthermore, the potential for multiple external forcings via solar geoengineering to produce feedbacks from an energetic perspective, even in the absence of surface warming, is poorly understood. This thesis attempts to adapt the forcing-feedback paradigm to define potential radiative feedbacks on the climate system as \na result of solar geoengineering through three studies. \n \nFirst, we perform an analyses of radiative forcing and feedback between two versions of the Canadian Earth System Model (CanESM) to understand what is physically driving differences in surface warming. We find little difference in radiative forcing from increased CO2 between the two model versions. More positive radiative feedbacks produce a larger amount of warming in CanESM5, primarily from a reduction boundary layer clouds across the equatorial Pacific that reduced the Earth’s albedo to a greater extent. This analysis was essential to understand how radiative feedbacks, specifically from clouds, can impact the rate surface warming. \n \nNext, we analyzed radiative forcing from both increased CO2 and a reduced solar constant using the Community Earth System Model (CESM). We find that the magnitude of solar forcing required to offset the positive radiative forcing from quadrupling CO2 is sensitive to radiative adjustments from both forcings. Radiative adjustments, which are climate responses from an external forcing in the absence of surface warming that impact Earth’s energy balance, as a result of reductions in cloud fraction had a dampening effect on the reduction of the solar constant. This work informed how solar constant tuning, which we used as a proxy for more realistic representations of solar geoengineering, can produce changes in cloud fraction that impact planetary albedo and therefore the amount solar forcing required to achieve energy balance. \n \nFinally, we extend the work of the first two studies by defining and investigating potential geoengineering radiative feedbacks in a transient solar geoengineering experiment using CESM. We reduce the solar constant over time in an idealized geoengineering experiment that maintains near-zero global mean surface warming in the wake of increasing CO2 and find a decreasing trend in optically thick tropical clouds. Reductions in cloud fraction reduced planetary albedo, which further decreased the amount of solar forcing needed to achieve the same net energy reduction at the surface, thus producing a positive radiative feedback loop in absence of global mean surface warming. This work highlights the need to understand potential feedbacks from realizable methods of solar geoengineering such as stratosphere aerosol injections.
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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
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.
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 ».