Introduction to the annual issue on “Infant Hydrocephalus“
We use a methodological framework exploiting the power of large ensembles to evaluate how well ten coupled climate models represent the internal variability and response to external forcings in observed historical surface temperatures. This evaluation framework allows us to directly attribute discre...
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ftzbmed:oai:frl.publisso.de:frl:6451053 2023-11-12T04:26:40+01:00 Introduction to the annual issue on “Infant Hydrocephalus“ Kulkarni, Abhaya V. Thomale, Ulrich-W 2021 https://repository.publisso.de/resource/frl:6451053 https://doi.org/10.1007/s00381-021-05305-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578159/ eng eng https://repository.publisso.de/resource/frl:6451053 https://doi.org/10.1007/s00381-021-05305-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578159/ https://creativecommons.org/licenses/by/4.0/ http://lobid.org/resources/99370677088806441#!, 37(11):3303-3303 Infant [MeSH] Humans [MeSH] Neurosurgery Neurosciences Cerebrospinal Fluid Shunts [MeSH] Editorial Hydrocephalus/surgery [MeSH] Zeitschriftenartikel 2021 ftzbmed https://doi.org/10.1007/s00381-021-05305-6 2023-10-15T22:06:45Z We use a methodological framework exploiting the power of large ensembles to evaluate how well ten coupled climate models represent the internal variability and response to external forcings in observed historical surface temperatures. This evaluation framework allows us to directly attribute discrepancies between models and observations to biases in the simulated internal variability or forced response, without relying on assumptions to separate these signals in observations. The largest discrepancies result from the overestimated forced warming in some models during recent decades. In contrast, models do not systematically over- or underestimate internal variability in global mean temperature. On regional scales, all models misrepresent surface temperature variability over the Southern Ocean, while overestimating variability over land-surface areas, such as the Amazon and South Asia, and high-latitude oceans. Our evaluation shows that MPI-GE, followed by GFDL-ESM2M and CESM-LE offer the best global and regional representation of both the internal variability and forced response in observed historical temperatures. Article in Journal/Newspaper Southern Ocean PUBLISSO Fachrepositorium Lebenswissenschaften (ZB MED) Southern Ocean Child's Nervous System 37 11 3303 3303 |
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Open Polar |
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PUBLISSO Fachrepositorium Lebenswissenschaften (ZB MED) |
op_collection_id |
ftzbmed |
language |
English |
topic |
Infant [MeSH] Humans [MeSH] Neurosurgery Neurosciences Cerebrospinal Fluid Shunts [MeSH] Editorial Hydrocephalus/surgery [MeSH] |
spellingShingle |
Infant [MeSH] Humans [MeSH] Neurosurgery Neurosciences Cerebrospinal Fluid Shunts [MeSH] Editorial Hydrocephalus/surgery [MeSH] Kulkarni, Abhaya V. Thomale, Ulrich-W Introduction to the annual issue on “Infant Hydrocephalus“ |
topic_facet |
Infant [MeSH] Humans [MeSH] Neurosurgery Neurosciences Cerebrospinal Fluid Shunts [MeSH] Editorial Hydrocephalus/surgery [MeSH] |
description |
We use a methodological framework exploiting the power of large ensembles to evaluate how well ten coupled climate models represent the internal variability and response to external forcings in observed historical surface temperatures. This evaluation framework allows us to directly attribute discrepancies between models and observations to biases in the simulated internal variability or forced response, without relying on assumptions to separate these signals in observations. The largest discrepancies result from the overestimated forced warming in some models during recent decades. In contrast, models do not systematically over- or underestimate internal variability in global mean temperature. On regional scales, all models misrepresent surface temperature variability over the Southern Ocean, while overestimating variability over land-surface areas, such as the Amazon and South Asia, and high-latitude oceans. Our evaluation shows that MPI-GE, followed by GFDL-ESM2M and CESM-LE offer the best global and regional representation of both the internal variability and forced response in observed historical temperatures. |
format |
Article in Journal/Newspaper |
author |
Kulkarni, Abhaya V. Thomale, Ulrich-W |
author_facet |
Kulkarni, Abhaya V. Thomale, Ulrich-W |
author_sort |
Kulkarni, Abhaya V. |
title |
Introduction to the annual issue on “Infant Hydrocephalus“ |
title_short |
Introduction to the annual issue on “Infant Hydrocephalus“ |
title_full |
Introduction to the annual issue on “Infant Hydrocephalus“ |
title_fullStr |
Introduction to the annual issue on “Infant Hydrocephalus“ |
title_full_unstemmed |
Introduction to the annual issue on “Infant Hydrocephalus“ |
title_sort |
introduction to the annual issue on “infant hydrocephalus“ |
publishDate |
2021 |
url |
https://repository.publisso.de/resource/frl:6451053 https://doi.org/10.1007/s00381-021-05305-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578159/ |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_source |
http://lobid.org/resources/99370677088806441#!, 37(11):3303-3303 |
op_relation |
https://repository.publisso.de/resource/frl:6451053 https://doi.org/10.1007/s00381-021-05305-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578159/ |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1007/s00381-021-05305-6 |
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Child's Nervous System |
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37 |
container_issue |
11 |
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3303 |
op_container_end_page |
3303 |
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