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Reliability of African climate prediction and attribution across timescales

Bibliographic Data

ID15547007
AuthorsFraser C Lott (0000-0001-5184-4156, Met Office, corresponding author), Margaret Gordon (Met Office), Richard Graham (0000-0002-4889-9575, Met Office), Richard J Graham, Adam A Scaife (0000-0002-5189-7538, Met Office), Michael Vellinga (0000-0002-5720-0359, Met Office)
Year2014
Volume9
Issue10
Pages104017-104017
Publication date2014-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/9/10/104017
OpenAlexW1977770438
LanguageEN
Citations received1
References cited15

This study investigates the reliability of seasonal to multi-decadal climate simulations of the wet seasons of several key African regions. It is found that reliability varies across regions and seasons, and that simulations of precipitation are universally less reliable than simulations of temperature. Similar levels of reliability are found across all the timescales considered for most (but not all) region/season combinations. Reliability for temperatures increases on longer timescales, both due to the differences in the modelling systems for each timescale and, in part, due to the contribution from systematic climate warming. Though the use of reliability is well-established for forecasting, its meaning for attribution is less clear, and further work is underway to further clarify this

Attribution · Climate change · Climate model · Climatology · Geography · Meteorology · Physics · Precipitation · Reliability (semiconductor · Climate variability and models · Environmental Science · Hydrology and Drought Analysis · Meteorological Phenomena and Simulations · Psychology · Geology

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Unique citing works1
Citations per year0,1
Citation span2016 - 2016 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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