Dr. Schleußner erforscht die Wechselwirkungen zwischen Klimawandel, sozioökonomischen Transformationen und Anpassungsfähigkeit von Gesellschaften. Sein aktueller Fokus liegt auf der Identifikation von sozialen und strukturellen Barrieren, die Klimaanpassung behindern, sowie auf der Entwicklung von integrierten Klimadienstleistungen, die Auswirkungen von Temperaturüberschreitungen (Overshoot-Szenarien) auf verschiedenen räumlichen Ebenen abbilden. Für Unternehmen und öffentliche Verwaltung liefert er wissenschaftliche Grundlagen zur Bewertung von Klimarisiken und zur Gestaltung von Anpassungsstrategien — von der globalen Politikebene bis zu regionalen und städtischen Planungsprozessen. Seine Arbeiten verbinden Klimamodellierung mit sozialwissenschaftlicher Analyse, um praxisrelevante Handlungsempfehlungen zu generieren.
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Dr. Carl-Friedrich Schleußner
HU-FIS-Profil ↗Im Rahmen des EmBARK – Forschungsprojektes sollen relevante Zeitskalen und mögliche Entwicklungspfade sozioökonomischer Transformationsprozesse sowie deren Bedeutung als Barrieren von Klimaanpassung untersucht werden.
PROVIDE wird hochinnovative, integrative Klimadienstleistungen liefern, die umfassende Informationen über die Auswirkungen von Overshoot-Pfaden von der globalen bis zur regionalen und städtischen Ebene beinhalten und direkt in Anpassungsmaßnahmen einfließen. Das Projekt zielt insbesondere darauf ab: 1) Globale Multiszenario- und Multisektor-Klimainformationen zu produzieren, die Auswirkungen über Skalen hinweg mittels neuartiger Klima- und Auswirkungsemulatoren zu integrieren und quantifizieren; 2) Unsicherheiten und Rückkopplungen des Klimasystems 3) Entwicklung einer verallgemeinerbaren Overshoot-Proofing-Methode für Anpassungsstrategien, um Anpassungsmaßnahmen als Reaktion auf Overshoot-Risiken zu verbessern; 4) Identifizierung und Priorisierung des Overshoot-Anpassungsbedarfs in vier sich stark ergänzenden Fallstudienregionen; 5) Integration aller Projektergebnisse in das PROVIDE Climate Service Dashboard.
Nature Climate Change · DOI
Nature Communications · DOI
Reduced rainfall increases the risk of forest dieback, while in return forest loss might intensify regional droughts. The consequences of this vegetation-atmosphere feedback for the stability of the Amazon forest are still unclear. Here we show that the risk of self-amplified Amazon forest loss increases nonlinearly with dry-season intensification. We apply a novel complex-network approach, in which Amazon forest patches are linked by observation-based atmospheric water fluxes. Our results suggest that the risk of self-amplified forest loss is reduced with increasing heterogeneity in the response of forest patches to reduced rainfall. Under dry-season Amazonian rainfall reductions, comparable to Last Glacial Maximum conditions, additional forest loss due to self-amplified effects occurs in 10-13% of the Amazon basin. Although our findings do not indicate that the projected rainfall changes for the end of the twenty-first century will lead to complete Amazon dieback, they suggest that frequent extreme drought events have the potential to destabilize large parts of the Amazon forest.
Earth system science data · DOI
Abstract. Intergovernmental Panel on Climate Change (IPCC) assessments arethe trusted source of scientific evidence for climate negotiations takingplace under the United Nations Framework Convention on Climate Change(UNFCCC), including the first global stocktake under the Paris Agreementthat will conclude at COP28 in December 2023. Evidence-based decision-makingneeds to be informed by up-to-date and timely information on key indicatorsof the state of the climate system and of the human influence on the globalclimate system. However, successive IPCC reports are published at intervalsof 5–10 years, creating potential for an information gap between reportcycles. We follow methods as close as possible to those used in the IPCC SixthAssessment Report (AR6) Working Group One (WGI) report. We compilemonitoring datasets to produce estimates for key climate indicators relatedto forcing of the climate system: emissions of greenhouse gases andshort-lived climate forcers, greenhouse gas concentrations, radiativeforcing, surface temperature changes, the Earth's energy imbalance, warmingattributed to human activities, the remaining carbon budget, and estimates ofglobal temperature extremes. The purpose of this effort, grounded in an opendata, open science approach, is to make annually updated reliable globalclimate indicators available in the public domain (https://doi.org/10.5281/zenodo.8000192, Smith et al., 2023a). As they aretraceable to IPCC report methods, they can be trusted by all partiesinvolved in UNFCCC negotiations and help convey wider understanding of thelatest knowledge of the climate system and its direction of travel. The indicators show that human-induced warming reached 1.14 [0.9 to 1.4] ∘C averaged over the 2013–2022 decade and 1.26 [1.0 to 1.6] ∘C in 2022. Over the 2013–2022 period, human-induced warming hasbeen increasing at an unprecedented rate of over 0.2 ∘C perdecade. This high rate of warming is caused by a combination of greenhousegas emissions being at an all-time high of 54 ± 5.3 GtCO2e overthe last decade, as well as reductions in the strength of aerosol cooling.Despite this, there is evidence that increases in greenhouse gas emissionshave slowed, and depending on societal choices, a continued series of theseannual updates over the critical 2020s decade could track a change ofdirection for human influence on climate.