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End date: 2024 × Start date: 2020 × DDC: 333.7 × search.filters.applied.f.series: Nature Communications 13 (2022), Nr. 1 ×

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    Intercomparison of regional loss estimates from global synthetic tropical cyclone models
    ([London] : Nature Publishing Group UK, 2022) Meiler, Simona; Vogt, Thomas; Bloemendaal, Nadia; Ciullo, Alessio; Lee, Chia-Ying; Camargo, Suzana J.; Emanuel, Kerry; Bresch, David N.
    Tropical cyclones (TCs) cause devastating damage to life and property. Historical TC data is scarce, complicating adequate TC risk assessments. Synthetic TC models are specifically designed to overcome this scarcity. While these models have been evaluated on their ability to simulate TC activity, no study to date has focused on model performance and applicability in TC risk assessments. This study performs the intercomparison of four different global-scale synthetic TC datasets in the impact space, comparing impact return period curves, probability of rare events, and hazard intensity distribution over land. We find that the model choice influences the costliest events, particularly in basins with limited TC activity. Modelled direct economic damages in the North Indian Ocean, for instance, range from 40 to 246 billion USD for the 100-yr event over the four hazard sets. We furthermore provide guidelines for the suitability of the different synthetic models for various research purposes.
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    Overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement
    ([London] : Nature Publishing Group UK, 2022) Humpenöder, Florian; Popp, Alexander; Schleussner, Carl-Friedrich; Orlov, Anton; Windisch, Michael Gregory; Menke, Inga; Pongratz, Julia; Havermann, Felix; Thiery, Wim; Luo, Fei; v. Jeetze, Patrick; Dietrich, Jan Philipp; Lotze-Campen, Hermann; Weindl, Isabelle; Lejeune, Quentin
    Transformation pathways for the land sector in line with the Paris Agreement depend on the assumption of globally implemented greenhouse gas (GHG) emission pricing, and in some cases also on inclusive socio-economic development and sustainable land-use practices. In such pathways, the majority of GHG emission reductions in the land system is expected to come from low- and middle-income countries, which currently account for a large share of emissions from agriculture, forestry and other land use (AFOLU). However, in low- and middle-income countries the economic, financial and institutional barriers for such transformative changes are high. Here, we show that if sustainable development in the land sector remained highly unequal and limited to high-income countries only, global AFOLU emissions would remain substantial throughout the 21st century. Our model-based projections highlight that overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement. While also a scenario purely based on either global GHG emission pricing or on inclusive socio-economic development would achieve the stringent emissions reductions required, only the latter ensures major co-benefits for other Sustainable Development Goals, especially in low- and middle-income regions.
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    Low atmospheric CO2 levels before the rise of forested ecosystems
    ([London] : Nature Publishing Group UK, 2022) Dahl, Tais W.; Harding, Magnus A. R.; Brugger, Julia; Feulner, Georg; Norrman, Kion; Lomax, Barry H.; Junium, Christopher K.
    The emergence of forests on Earth (~385 million years ago, Ma)1 has been linked to an order-of-magnitude decline in atmospheric CO2 levels and global climatic cooling by altering continental weathering processes, but observational constraints on atmospheric CO2 before the rise of forests carry large, often unbound, uncertainties. Here, we calibrate a mechanistic model for gas exchange in modern lycophytes and constrain atmospheric CO2 levels 410–380 Ma from related fossilized plants with bound uncertainties of approximately ±100 ppm (1 sd). We find that the atmosphere contained ~525–715 ppm CO2 before continents were afforested, and that Earth was partially glaciated according to a palaeoclimate model. A process-driven biogeochemical model (COPSE) shows the appearance of trees with deep roots did not dramatically enhance atmospheric CO2 removal. Rather, shallow-rooted vascular ecosystems could have simultaneously caused abrupt atmospheric oxygenation and climatic cooling long before the rise of forests, although earlier CO2 levels are still unknown.