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Land surface air temperature variations across the globe updated to 2019: the CRUTEM5 dataset

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Land surface air temperature variations across the globe updated to 2019: the CRUTEM5 dataset. / Osborn, Timothy J.; Jones, Philip D.; Lister, David H.; Morice, Colin P.; Simpson, Ian R.; Winn, J. P.; Hogan, Emma; Harris, Ian C.

In: Journal of Geophysical Research: Atmospheres, Vol. 126, No. 2, e2019JD032352, 27.01.2021.

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@article{cb37fb52eb7e48c4b25162837a2dea03,
title = "Land surface air temperature variations across the globe updated to 2019: the CRUTEM5 dataset",
abstract = "Climatic Research Unit temperature version 5 (CRUTEM5) is an extensive revision of our land surface air temperature data set. We have expanded the underlying compilation of monthly temperature records from 5,583 to 10,639 stations, of which those with sufficient data to be used in the gridded data set has grown from 4,842 to 7,983. Many station records have also been extended or replaced by series that have been homogenized by national meteorological and hydrological services. We have improved the identification of potential outliers in these data to better capture outliers during the reference period; to avoid classifying some real regional temperature extremes as outliers; and to reduce trends in outlier counts arising from climatic warming. Due to these updates, the gridded data set shows some regional increases in station density and regional changes in temperature anomalies. Nonetheless, the global‐mean timeseries of land air temperature is only slightly modified compared with previous versions and previous conclusions are not altered. The standard gridding algorithm and comprehensive error model are the same as for the previous version, but we have explored an alternative gridding algorithm that removes the under‐representation of high latitude stations. The alternative gridding increases estimated global‐mean land warming by about 0.1°C over the course of the whole record. The warming from 1861–1900 to the mean of the last 5 years is 1.6°C using the standard gridding (with a 95% confidence interval for errors on individual annual means of −0.11 to +0.10°C in recent years), while the alternative gridding gives a change of 1.7°C.",
author = "Osborn, {Timothy J.} and Jones, {Philip D.} and Lister, {David H.} and Morice, {Colin P.} and Simpson, {Ian R.} and Winn, {J. P.} and Emma Hogan and Harris, {Ian C.}",
year = "2021",
month = jan,
day = "27",
doi = "10.1029/2019JD032352",
language = "English",
volume = "126",
journal = "Journal of Geophysical Research: Atmospheres",
issn = "2169-897X",
publisher = "AMER GEOPHYSICAL UNION",
number = "2",

}

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TY - JOUR

T1 - Land surface air temperature variations across the globe updated to 2019: the CRUTEM5 dataset

AU - Osborn, Timothy J.

AU - Jones, Philip D.

AU - Lister, David H.

AU - Morice, Colin P.

AU - Simpson, Ian R.

AU - Winn, J. P.

AU - Hogan, Emma

AU - Harris, Ian C.

PY - 2021/1/27

Y1 - 2021/1/27

N2 - Climatic Research Unit temperature version 5 (CRUTEM5) is an extensive revision of our land surface air temperature data set. We have expanded the underlying compilation of monthly temperature records from 5,583 to 10,639 stations, of which those with sufficient data to be used in the gridded data set has grown from 4,842 to 7,983. Many station records have also been extended or replaced by series that have been homogenized by national meteorological and hydrological services. We have improved the identification of potential outliers in these data to better capture outliers during the reference period; to avoid classifying some real regional temperature extremes as outliers; and to reduce trends in outlier counts arising from climatic warming. Due to these updates, the gridded data set shows some regional increases in station density and regional changes in temperature anomalies. Nonetheless, the global‐mean timeseries of land air temperature is only slightly modified compared with previous versions and previous conclusions are not altered. The standard gridding algorithm and comprehensive error model are the same as for the previous version, but we have explored an alternative gridding algorithm that removes the under‐representation of high latitude stations. The alternative gridding increases estimated global‐mean land warming by about 0.1°C over the course of the whole record. The warming from 1861–1900 to the mean of the last 5 years is 1.6°C using the standard gridding (with a 95% confidence interval for errors on individual annual means of −0.11 to +0.10°C in recent years), while the alternative gridding gives a change of 1.7°C.

AB - Climatic Research Unit temperature version 5 (CRUTEM5) is an extensive revision of our land surface air temperature data set. We have expanded the underlying compilation of monthly temperature records from 5,583 to 10,639 stations, of which those with sufficient data to be used in the gridded data set has grown from 4,842 to 7,983. Many station records have also been extended or replaced by series that have been homogenized by national meteorological and hydrological services. We have improved the identification of potential outliers in these data to better capture outliers during the reference period; to avoid classifying some real regional temperature extremes as outliers; and to reduce trends in outlier counts arising from climatic warming. Due to these updates, the gridded data set shows some regional increases in station density and regional changes in temperature anomalies. Nonetheless, the global‐mean timeseries of land air temperature is only slightly modified compared with previous versions and previous conclusions are not altered. The standard gridding algorithm and comprehensive error model are the same as for the previous version, but we have explored an alternative gridding algorithm that removes the under‐representation of high latitude stations. The alternative gridding increases estimated global‐mean land warming by about 0.1°C over the course of the whole record. The warming from 1861–1900 to the mean of the last 5 years is 1.6°C using the standard gridding (with a 95% confidence interval for errors on individual annual means of −0.11 to +0.10°C in recent years), while the alternative gridding gives a change of 1.7°C.

U2 - 10.1029/2019JD032352

DO - 10.1029/2019JD032352

M3 - Article

VL - 126

JO - Journal of Geophysical Research: Atmospheres

JF - Journal of Geophysical Research: Atmospheres

SN - 2169-897X

IS - 2

M1 - e2019JD032352

ER -

ID: 183212639