Growing the African land surface air temperature record: by assimilation of short-segment time series

Michael Taylor; Timothy Osborn; Philip Jones; David Lister; Emily Wallis; Ian Harris

doi:10.6084/m9.figshare.14748588.v1

Growing the African land surface air temperature record: by assimilation of short-segment time series

Michael Taylor, Timothy Osborn, Philip Jones, David Lister, Emily Wallis, Ian Harris

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

● Africa is a climate-sensitive continent impacted by anthropogenic global warming. Its instrumental record helps provide important spatial coverage for NWP validation and the monitoring of climate change.
● However, CLIMAT reports of surface temperature observations from Africa suggest only ~50% of those expected are being incorporated in some global temperature databases. One main reason is short-segments that do not span the 1961-1990 baseline needed to calculate anomaly time series.
● To allow for the immediate incorporation of short-segment data we develop a method that refers to historic trends in 20th Century Reanalysis (20CRv3) to estimate the baseline.
● We evaluate the impact of inclusion of the ‘missing’ stations on the continent’s temperature anomaly record.

Original language	English
Title of host publication	Growing the African land surface air temperature record
Subtitle of host publication	By assimilation of short-segment time series
Publisher	Figshare
DOIs	https://doi.org/10.6084/m9.figshare.14748588.v1
Publication status	Published - 28 Dec 2022
Event	UK Met Office Climate Sci Conference - Online Duration: 11 May 2021 → 12 May 2021 https://www.metoffice.gov.uk/research/news/conferences/met-office-science-conference

Conference

Conference	UK Met Office Climate Sci Conference
Period	11/05/21 → 12/05/21
Internet address	https://www.metoffice.gov.uk/research/news/conferences/met-office-science-conference

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.6084/m9.figshare.14748588.v1Licence: CC BY

Cite this

@inproceedings{d39e9f8beaac4e4797f2d883c375e70c,

title = "Growing the African land surface air temperature record: by assimilation of short-segment time series",

abstract = "● Africa is a climate-sensitive continent impacted by anthropogenic global warming. Its instrumental record helps provide important spatial coverage for NWP validation and the monitoring of climate change.● However, CLIMAT reports of surface temperature observations from Africa suggest only ~50% of those expected are being incorporated in some global temperature databases. One main reason is short-segments that do not span the 1961-1990 baseline needed to calculate anomaly time series.● To allow for the immediate incorporation of short-segment data we develop a method that refers to historic trends in 20th Century Reanalysis (20CRv3) to estimate the baseline.● We evaluate the impact of inclusion of the {\textquoteleft}missing{\textquoteright} stations on the continent{\textquoteright}s temperature anomaly record.",

author = "Michael Taylor and Timothy Osborn and Philip Jones and David Lister and Emily Wallis and Ian Harris",

year = "2022",

month = dec,

day = "28",

doi = "10.6084/m9.figshare.14748588.v1",

language = "English",

booktitle = "Growing the African land surface air temperature record",

publisher = "Figshare",

note = "UK Met Office Climate Sci Conference ; Conference date: 11-05-2021 Through 12-05-2021",

url = "https://www.metoffice.gov.uk/research/news/conferences/met-office-science-conference",

}

Taylor, M, Osborn, T , Jones, P, Lister, D, Wallis, E & Harris, I 2022, Growing the African land surface air temperature record: by assimilation of short-segment time series. in Growing the African land surface air temperature record: By assimilation of short-segment time series. Figshare, UK Met Office Climate Sci Conference, 11/05/21. https://doi.org/10.6084/m9.figshare.14748588.v1

TY - GEN

T1 - Growing the African land surface air temperature record

T2 - UK Met Office Climate Sci Conference

AU - Taylor, Michael

AU - Osborn, Timothy

AU - Jones, Philip

AU - Lister, David

AU - Wallis, Emily

AU - Harris, Ian

PY - 2022/12/28

Y1 - 2022/12/28

N2 - ● Africa is a climate-sensitive continent impacted by anthropogenic global warming. Its instrumental record helps provide important spatial coverage for NWP validation and the monitoring of climate change.● However, CLIMAT reports of surface temperature observations from Africa suggest only ~50% of those expected are being incorporated in some global temperature databases. One main reason is short-segments that do not span the 1961-1990 baseline needed to calculate anomaly time series.● To allow for the immediate incorporation of short-segment data we develop a method that refers to historic trends in 20th Century Reanalysis (20CRv3) to estimate the baseline.● We evaluate the impact of inclusion of the ‘missing’ stations on the continent’s temperature anomaly record.

AB - ● Africa is a climate-sensitive continent impacted by anthropogenic global warming. Its instrumental record helps provide important spatial coverage for NWP validation and the monitoring of climate change.● However, CLIMAT reports of surface temperature observations from Africa suggest only ~50% of those expected are being incorporated in some global temperature databases. One main reason is short-segments that do not span the 1961-1990 baseline needed to calculate anomaly time series.● To allow for the immediate incorporation of short-segment data we develop a method that refers to historic trends in 20th Century Reanalysis (20CRv3) to estimate the baseline.● We evaluate the impact of inclusion of the ‘missing’ stations on the continent’s temperature anomaly record.

U2 - 10.6084/m9.figshare.14748588.v1

DO - 10.6084/m9.figshare.14748588.v1

M3 - Conference contribution

BT - Growing the African land surface air temperature record

PB - Figshare

Y2 - 11 May 2021 through 12 May 2021

ER -