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pro vyhledávání: '"Tebaldi, Claudia"'
Earth System Models (ESMs) are essential for understanding the interaction between human activities and the Earth's climate. However, the computational demands of ESMs often limit the number of simulations that can be run, hindering the robust analys
Externí odkaz:
http://arxiv.org/abs/2409.11601
Earth system models (ESMs) are the principal tools used in climate science to generate future climate projections under various atmospheric emissions scenarios on a global or regional scale. Generative deep learning approaches are suitable for emulat
Externí odkaz:
http://arxiv.org/abs/2404.08797
Earth System Models (ESMs) are essential tools for understanding the impact of human actions on Earth's climate. One key application of these models is studying extreme weather events, such as heat waves or dry spells, which have significant socioeco
Externí odkaz:
http://arxiv.org/abs/2304.11699
Climate models encapsulate our best understanding of the Earth system, allowing research to be conducted on its future under alternative assumptions of how human-driven climate forces are going to evolve. An important application of climate models is
Externí odkaz:
http://arxiv.org/abs/2105.06386
Autor:
Tebaldi, Claudia, Aðalgeirsdóttir, Guðfinna, Drijfhout, Sybren, Dunne, John, Edwards, Tamsin L., Fischer, Erich, Fyfe, John C., Jones, Richard G., Kopp, Robert E., Koven, Charles, Krinner, Gerhard, Otto, Friederike, Ruane, Alex C., Seneviratne, Sonia I., Sillmann, Jana, Szopa, Sophie, Zanis, Prodromos
Publikováno v:
In Climate Risk Management 2023 40
Akademický článek
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Akademický článek
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Sea-level rise (SLR) causes estimates of flood risk made under the assumption of stationary mean sea level to be biased low. However, adjustments to flood return levels made assuming fixed increases of sea level are also inaccurate when applied to se
Externí odkaz:
http://arxiv.org/abs/1510.08550
We evaluate relative sea level (RSL) trajectories for North Carolina, USA, in the context of tide-gauge measurements and geological sea-level reconstructions spanning the last $\mathord{\sim}$11,000 years. RSL rise was fastest ($\mathord{\sim}$7 mm/y
Externí odkaz:
http://arxiv.org/abs/1410.8369
Autor:
Tebaldi, Claudia1 (AUTHOR) claudia.tebaldi@pnnl.gov, Snyder, Abigail1 (AUTHOR), Dorheim, Kalyn1 (AUTHOR)
Publikováno v:
Earth System Dynamics. 2022, Vol. 13 Issue 4, p1557-1609. 53p.