Headline Indicators for Global Climate Monitoring
International audience Abstract The World Meteorological Organization has developed a set of headline indicators for global climate monitoring. These seven indicators are a subset of the existing set of essential climate variables (ECVs) established by the Global Climate Observing System and are int...
Published in: | Bulletin of the American Meteorological Society |
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Language: | English |
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2021
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Online Access: | https://hal.science/hal-04631959 https://hal.science/hal-04631959/document https://hal.science/hal-04631959/file/bamsd190196.pdf https://doi.org/10.1175/BAMS-D-19-0196.1 |
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Institut national des sciences de l'Univers: HAL-INSU |
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English |
topic |
[SDE]Environmental Sciences |
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[SDE]Environmental Sciences Trewin, Blair Cazenave, Anny Howell, Stephen Huss, Matthias Isensee, Kirsten Palmer, Matthew Tarasova, Oksana Vermeulen, Alex Headline Indicators for Global Climate Monitoring |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience Abstract The World Meteorological Organization has developed a set of headline indicators for global climate monitoring. These seven indicators are a subset of the existing set of essential climate variables (ECVs) established by the Global Climate Observing System and are intended to provide the most essential parameters representing the state of the climate system. These indicators include global mean surface temperature, global ocean heat content, state of ocean acidification, glacier mass balance, Arctic and Antarctic sea ice extent, global CO 2 mole fraction, and global mean sea level. This paper describes how well each of these indicators are currently monitored, including the number and quality of the underlying datasets; the health of those datasets; observation systems used to estimate each indicator; the timeliness of information; and how well recent values can be linked to preindustrial conditions. These aspects vary widely between indicators. While global mean surface temperature is available in close to real time and changes from preindustrial levels can be determined with relatively low uncertainty, this is not the case for many other indicators. Some indicators (e.g., sea ice extent) are largely dependent on satellite data only available in the last 40 years, while some (e.g., ocean acidification) have limited underlying observational bases, and others (e.g., glacial mass balance) with data only available a year or more in arrears. |
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Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Laboratory of Hydraulics, Hydrology and Glaciology Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL) Institut Fédéral de Recherches Department of Geosciences Fribourg Albert-Ludwigs-Universität Freiburg United Nations Educational, Scientific and Cultural Organization (UNESCO) Columbia University New York World Meteorological Organization (WMO) Integrated Carbon Observation System (ICOS) |
format |
Article in Journal/Newspaper |
author |
Trewin, Blair Cazenave, Anny Howell, Stephen Huss, Matthias Isensee, Kirsten Palmer, Matthew Tarasova, Oksana Vermeulen, Alex |
author_facet |
Trewin, Blair Cazenave, Anny Howell, Stephen Huss, Matthias Isensee, Kirsten Palmer, Matthew Tarasova, Oksana Vermeulen, Alex |
author_sort |
Trewin, Blair |
title |
Headline Indicators for Global Climate Monitoring |
title_short |
Headline Indicators for Global Climate Monitoring |
title_full |
Headline Indicators for Global Climate Monitoring |
title_fullStr |
Headline Indicators for Global Climate Monitoring |
title_full_unstemmed |
Headline Indicators for Global Climate Monitoring |
title_sort |
headline indicators for global climate monitoring |
publisher |
HAL CCSD |
publishDate |
2021 |
url |
https://hal.science/hal-04631959 https://hal.science/hal-04631959/document https://hal.science/hal-04631959/file/bamsd190196.pdf https://doi.org/10.1175/BAMS-D-19-0196.1 |
geographic |
Arctic Antarctic |
geographic_facet |
Arctic Antarctic |
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Antarc* Antarctic Arctic Ocean acidification Sea ice |
genre_facet |
Antarc* Antarctic Arctic Ocean acidification Sea ice |
op_source |
ISSN: 0003-0007 EISSN: 1520-0477 Bulletin of the American Meteorological Society https://hal.science/hal-04631959 Bulletin of the American Meteorological Society, 2021, 102 (1), pp.E20-E37. ⟨10.1175/BAMS-D-19-0196.1⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-19-0196.1 hal-04631959 https://hal.science/hal-04631959 https://hal.science/hal-04631959/document https://hal.science/hal-04631959/file/bamsd190196.pdf doi:10.1175/BAMS-D-19-0196.1 |
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info:eu-repo/semantics/OpenAccess |
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https://doi.org/10.1175/BAMS-D-19-0196.1 |
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Bulletin of the American Meteorological Society |
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102 |
container_issue |
1 |
container_start_page |
E20 |
op_container_end_page |
E37 |
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1809818808787927040 |
spelling |
ftinsu:oai:HAL:hal-04631959v1 2024-09-09T19:04:47+00:00 Headline Indicators for Global Climate Monitoring Trewin, Blair Cazenave, Anny Howell, Stephen Huss, Matthias Isensee, Kirsten Palmer, Matthew Tarasova, Oksana Vermeulen, Alex Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS) Laboratory of Hydraulics, Hydrology and Glaciology Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL) Institut Fédéral de Recherches Department of Geosciences Fribourg Albert-Ludwigs-Universität Freiburg United Nations Educational, Scientific and Cultural Organization (UNESCO) Columbia University New York World Meteorological Organization (WMO) Integrated Carbon Observation System (ICOS) 2021-01 https://hal.science/hal-04631959 https://hal.science/hal-04631959/document https://hal.science/hal-04631959/file/bamsd190196.pdf https://doi.org/10.1175/BAMS-D-19-0196.1 en eng HAL CCSD American Meteorological Society info:eu-repo/semantics/altIdentifier/doi/10.1175/BAMS-D-19-0196.1 hal-04631959 https://hal.science/hal-04631959 https://hal.science/hal-04631959/document https://hal.science/hal-04631959/file/bamsd190196.pdf doi:10.1175/BAMS-D-19-0196.1 info:eu-repo/semantics/OpenAccess ISSN: 0003-0007 EISSN: 1520-0477 Bulletin of the American Meteorological Society https://hal.science/hal-04631959 Bulletin of the American Meteorological Society, 2021, 102 (1), pp.E20-E37. ⟨10.1175/BAMS-D-19-0196.1⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2021 ftinsu https://doi.org/10.1175/BAMS-D-19-0196.1 2024-07-03T23:42:17Z International audience Abstract The World Meteorological Organization has developed a set of headline indicators for global climate monitoring. These seven indicators are a subset of the existing set of essential climate variables (ECVs) established by the Global Climate Observing System and are intended to provide the most essential parameters representing the state of the climate system. These indicators include global mean surface temperature, global ocean heat content, state of ocean acidification, glacier mass balance, Arctic and Antarctic sea ice extent, global CO 2 mole fraction, and global mean sea level. This paper describes how well each of these indicators are currently monitored, including the number and quality of the underlying datasets; the health of those datasets; observation systems used to estimate each indicator; the timeliness of information; and how well recent values can be linked to preindustrial conditions. These aspects vary widely between indicators. While global mean surface temperature is available in close to real time and changes from preindustrial levels can be determined with relatively low uncertainty, this is not the case for many other indicators. Some indicators (e.g., sea ice extent) are largely dependent on satellite data only available in the last 40 years, while some (e.g., ocean acidification) have limited underlying observational bases, and others (e.g., glacial mass balance) with data only available a year or more in arrears. Article in Journal/Newspaper Antarc* Antarctic Arctic Ocean acidification Sea ice Institut national des sciences de l'Univers: HAL-INSU Arctic Antarctic Bulletin of the American Meteorological Society 102 1 E20 E37 |