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Spatially resolved emulated annual temperature projections for overshoot pathways

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • Jonas Schwaab
  • Mathias Hauser
  • Robin D. Lamboll
  • Lea Beusch

Externe Organisationen

  • ETH Zürich
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Details

OriginalspracheEnglisch
Aufsatznummer1262
FachzeitschriftScientific data
Jahrgang11
Ausgabenummer1
PublikationsstatusVeröffentlicht - 21 Nov. 2024
Extern publiziertJa

Abstract

Due to insufficient climate action over the past decade, it is increasingly likely that 1.5 °C of global warming will be exceeded – at least temporarily – in the 21 st century. Such a temporary temperature overshoot carries additional climate risks which are poorly understood. Earth System Model climate projections are only available for a very limited number of overshoot pathways, thereby preventing comprehensive analysis of their impacts. Here, we address this issue by presenting a novel dataset of spatially resolved emulated annual temperature projections for different overshoot pathways. The dataset was created using the FaIR and MESMER emulators. First, FaIR was employed to translate ten different emission scenarios, including seven that are characterised by overshoot, into a large ensemble of forced global mean temperatures. These global mean temperatures were then converted into stochastic ensembles of local annual temperature fields using MESMER. To ensure an optimal tradeoff between accurate characterization of the ensemble spread and storage requirements for large ensembles, this procedure was accompanied by testing the sensitivity of sample quantiles to different ensemble sizes. The resulting dataset offers the unique opportunity to study local and regional climate change impacts of a range of overshoot scenarios, including the timing and magnitude of temperature thresholds exceedance.

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Zitieren

Spatially resolved emulated annual temperature projections for overshoot pathways. / Schwaab, Jonas; Hauser, Mathias; Lamboll, Robin D. et al.
in: Scientific data, Jahrgang 11, Nr. 1, 1262, 21.11.2024.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Schwaab, J, Hauser, M, Lamboll, RD, Beusch, L, Gudmundsson, L, Quilcaille, Y, Lejeune, Q, Schöngart, S, Schleussner, C-F, Nath, S, Rogelj, J, Nicholls, Z & Seneviratne, SI 2024, 'Spatially resolved emulated annual temperature projections for overshoot pathways', Scientific data, Jg. 11, Nr. 1, 1262. https://doi.org/10.1038/s41597-024-04122-1
Schwaab, J., Hauser, M., Lamboll, R. D., Beusch, L., Gudmundsson, L., Quilcaille, Y., Lejeune, Q., Schöngart, S., Schleussner, C.-F., Nath, S., Rogelj, J., Nicholls, Z., & Seneviratne, S. I. (2024). Spatially resolved emulated annual temperature projections for overshoot pathways. Scientific data, 11(1), Artikel 1262. https://doi.org/10.1038/s41597-024-04122-1
Schwaab J, Hauser M, Lamboll RD, Beusch L, Gudmundsson L, Quilcaille Y et al. Spatially resolved emulated annual temperature projections for overshoot pathways. Scientific data. 2024 Nov 21;11(1):1262. doi: 10.1038/s41597-024-04122-1
Schwaab, Jonas ; Hauser, Mathias ; Lamboll, Robin D. et al. / Spatially resolved emulated annual temperature projections for overshoot pathways. in: Scientific data. 2024 ; Jahrgang 11, Nr. 1.
Download
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abstract = "Due to insufficient climate action over the past decade, it is increasingly likely that 1.5 °C of global warming will be exceeded – at least temporarily – in the 21 st century. Such a temporary temperature overshoot carries additional climate risks which are poorly understood. Earth System Model climate projections are only available for a very limited number of overshoot pathways, thereby preventing comprehensive analysis of their impacts. Here, we address this issue by presenting a novel dataset of spatially resolved emulated annual temperature projections for different overshoot pathways. The dataset was created using the FaIR and MESMER emulators. First, FaIR was employed to translate ten different emission scenarios, including seven that are characterised by overshoot, into a large ensemble of forced global mean temperatures. These global mean temperatures were then converted into stochastic ensembles of local annual temperature fields using MESMER. To ensure an optimal tradeoff between accurate characterization of the ensemble spread and storage requirements for large ensembles, this procedure was accompanied by testing the sensitivity of sample quantiles to different ensemble sizes. The resulting dataset offers the unique opportunity to study local and regional climate change impacts of a range of overshoot scenarios, including the timing and magnitude of temperature thresholds exceedance.",
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AU - Schwaab, Jonas

AU - Hauser, Mathias

AU - Lamboll, Robin D.

AU - Beusch, Lea

AU - Gudmundsson, Lukas

AU - Quilcaille, Yann

AU - Lejeune, Quentin

AU - Schöngart, Sarah

AU - Schleussner, Carl-Friedrich

AU - Nath, Shruti

AU - Rogelj, Joeri

AU - Nicholls, Zebedee

AU - Seneviratne, Sonia I.

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N2 - Due to insufficient climate action over the past decade, it is increasingly likely that 1.5 °C of global warming will be exceeded – at least temporarily – in the 21 st century. Such a temporary temperature overshoot carries additional climate risks which are poorly understood. Earth System Model climate projections are only available for a very limited number of overshoot pathways, thereby preventing comprehensive analysis of their impacts. Here, we address this issue by presenting a novel dataset of spatially resolved emulated annual temperature projections for different overshoot pathways. The dataset was created using the FaIR and MESMER emulators. First, FaIR was employed to translate ten different emission scenarios, including seven that are characterised by overshoot, into a large ensemble of forced global mean temperatures. These global mean temperatures were then converted into stochastic ensembles of local annual temperature fields using MESMER. To ensure an optimal tradeoff between accurate characterization of the ensemble spread and storage requirements for large ensembles, this procedure was accompanied by testing the sensitivity of sample quantiles to different ensemble sizes. The resulting dataset offers the unique opportunity to study local and regional climate change impacts of a range of overshoot scenarios, including the timing and magnitude of temperature thresholds exceedance.

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