Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates
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Material Information

Title:
Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates the HadCRUT4 data set
Creator:
Colin P. Morice
John J. Kennedy
Nick A. Rayner
Phil D. Jones
Affiliation:
University of East Anglia -- Climatic Research Unit
Met Office Hadley Centre
University of East Anglia -- Climatic Research Unit
Publication Date:
Language:
English

Notes

Abstract:
Recent developments in observational near-surface air temperature and sea-surface temperature analyses are combined to produce HadCRUT4, a new data set of global and regional temperature evolution from 1850 to the present. This includes the addition of newly digitised measurement data, both over land and sea, new sea-surface temperature bias adjustments and a more comprehensive error model for describing uncertainties in sea-surface temperature measurements. An ensemble approach has been adopted to better describe complex temporal and spatial interdependencies of measurement and bias uncertainties and to allow these correlated uncertainties to be taken into account in studies that are based upon HadCRUT4. Climate diagnostics computed from the gridded data set broadly agree with those of other global near-surface temperature analyses. Fitted linear trends in temperature anomalies are approximately 0.07 degC/decade from 1901 to 2010 and 0.17 degC/decade from 1979 to 2010 globally. Northern/southern hemispheric trends are 0.08/0.07 degC/decade over 1901 to 2010 and 0.24/0.10 degC/decade over 1979 to 2010. Linear trends in other prominent near-surface temperature analyses agree well with the range of trends computed from the HadCRUT4 ensemble members.

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Source Institution:
Florida International University
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Aggregations:
Sea Level Rise