The Reliability of Antarctic Tropospheric Pressure and Temperature in the Latest Global Reanalyses

In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern E...

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Published inJournal of climate Vol. 25; no. 20; pp. 7138 - 7146
Main Authors Bracegirdle, Thomas J., Marshall, Gareth J.
Format Journal Article
LanguageEnglish
Published Boston, MA American Meteorological Society 15.10.2012
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Abstract In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern Era Retrospective-Analysis for Research and Applications (MERRA)] over three decades spanning 1979–2008. Bias and year-to-year correlation between the reanalyses and observations are assessed for four variables: mean sea level pressure (MSLP), near-surface air temperature (Ts ), 500-hPa geopotential height (H 500), and 500-hPa temperature (T 500). It was found that CFSR and MERRA are of a sufficiently high resolution for the height of the orography to be accurately reproduced at coastal observation stations. Progressively larger negativeTs biases at these coastal stations are apparent for reanalyses in order of decreasing resolution. However, orography height bias cannot explain large winter warm biases in CFSR, JRA-25, and MERRA(11.1°, 10.2°, and 7.9°C, respectively) at Amundsen–Scott and Vostok, which have been linked to problems with representing the surface energy balance. Linear trends in the annual-meanT 500andH 500averaged over Antarctica as a whole were found to be most reliable in CFSR, ERA-Interim, and MERRA, none of which show significant trends over the period 1979–2008. In contrast JRA-25 shows significant negative trends over 1979–2008 and ERA-40 gives significant positive trends during the 1980s (evident in bothT 500andH 500). Comparison to observations indicates that the positive trend in ERA-40 is spurious. At the smaller spatial scale of individual stations all five reanalyses have some spurious trends. However, ERA-Interim was found to be the most reliable for MSLP andH 500trends at station locations.
AbstractList In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern Era Retrospective-Analysis for Research and Applications (MERRA)] over three decades spanning 1979–2008. Bias and year-to-year correlation between the reanalyses and observations are assessed for four variables: mean sea level pressure (MSLP), near-surface air temperature (Ts ), 500-hPa geopotential height (H 500), and 500-hPa temperature (T 500). It was found that CFSR and MERRA are of a sufficiently high resolution for the height of the orography to be accurately reproduced at coastal observation stations. Progressively larger negativeTs biases at these coastal stations are apparent for reanalyses in order of decreasing resolution. However, orography height bias cannot explain large winter warm biases in CFSR, JRA-25, and MERRA(11.1°, 10.2°, and 7.9°C, respectively) at Amundsen–Scott and Vostok, which have been linked to problems with representing the surface energy balance. Linear trends in the annual-meanT 500andH 500averaged over Antarctica as a whole were found to be most reliable in CFSR, ERA-Interim, and MERRA, none of which show significant trends over the period 1979–2008. In contrast JRA-25 shows significant negative trends over 1979–2008 and ERA-40 gives significant positive trends during the 1980s (evident in bothT 500andH 500). Comparison to observations indicates that the positive trend in ERA-40 is spurious. At the smaller spatial scale of individual stations all five reanalyses have some spurious trends. However, ERA-Interim was found to be the most reliable for MSLP andH 500trends at station locations.
In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern Era Retrospective-Analysis for Research and Applications (MERRA)] over three decades spanning 1979-2008. Bias and year-to-year correlation between the reanalyses and observations are assessed for four variables: mean sea level pressure (MSLP), near-surface air temperature (Ts), 500-hPa geopotential height (H500), and 500-hPa temperature (T500). It was found that CFSR andMERRAare of a sufficiently high resolution for the height of the orography to be accurately reproduced at coastal observation stations. Progressively larger negative Ts biases at these coastal stations are apparent for reanalyses in order of decreasing resolution. However, orography height bias cannot explain large winter warm biases in CFSR, JRA-25, andMERRA(11.18, 10.28, and 7.9°C, respectively) at Amundsen-Scott and Vostok, which have been linked to problems with representing the surface energy balance. Linear trends in the annual-mean T500 andH500 averaged over Antarctica as a whole were found to be most reliable in CFSR, ERA-Interim, and MERRA, none of which show significant trends over the period 1979- 2008. In contrast JRA-25 shows significant negative trends over 1979-2008 and ERA-40 gives significant positive trends during the 1980s (evident in both T500 andH500). Comparison to observations indicates that the positive trend in ERA-40 is spurious. At the smaller spatial scale of individual stations all five reanalyses have some spurious trends. However, ERA-Interim was found to be the most reliable for MSLP andH500 trends at station locations. [PUBLICATION ABSTRACT]
In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern Era Retrospective-Analysis for Research and Applications (MERRA)] over three decades spanning 1979–2008. Bias and year-to-year correlation between the reanalyses and observations are assessed for four variables: mean sea level pressure (MSLP), near-surface air temperature (Ts), 500-hPa geopotential height (H500), and 500-hPa temperature (T500).It was found that CFSR and MERRA are of a sufficiently high resolution for the height of the orography to be accurately reproduced at coastal observation stations. Progressively larger negative Ts biases at these coastal stations are apparent for reanalyses in order of decreasing resolution. However, orography height bias cannot explain large winter warm biases in CFSR, JRA-25, and MERRA (11.1°, 10.2°, and 7.9°C, respectively) at Amundsen–Scott and Vostok, which have been linked to problems with representing the surface energy balance.Linear trends in the annual-mean T500 and H500 averaged over Antarctica as a whole were found to be most reliable in CFSR, ERA-Interim, and MERRA, none of which show significant trends over the period 1979–2008. In contrast JRA-25 shows significant negative trends over 1979–2008 and ERA-40 gives significant positive trends during the 1980s (evident in both T500 and H500). Comparison to observations indicates that the positive trend in ERA-40 is spurious. At the smaller spatial scale of individual stations all five reanalyses have some spurious trends. However, ERA-Interim was found to be the most reliable for MSLP and H500 trends at station locations.
Abstract In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), ECMWF Interim Re-Analysis (ERA-Interim), Japanese 25-year Reanalysis (JRA-25), and Modern Era Retrospective-Analysis for Research and Applications (MERRA)] over three decades spanning 1979–2008. Bias and year-to-year correlation between the reanalyses and observations are assessed for four variables: mean sea level pressure (MSLP), near-surface air temperature (Ts), 500-hPa geopotential height (H500), and 500-hPa temperature (T500). It was found that CFSR and MERRA are of a sufficiently high resolution for the height of the orography to be accurately reproduced at coastal observation stations. Progressively larger negative Ts biases at these coastal stations are apparent for reanalyses in order of decreasing resolution. However, orography height bias cannot explain large winter warm biases in CFSR, JRA-25, and MERRA (11.1°, 10.2°, and 7.9°C, respectively) at Amundsen–Scott and Vostok, which have been linked to problems with representing the surface energy balance. Linear trends in the annual-mean T500 and H500 averaged over Antarctica as a whole were found to be most reliable in CFSR, ERA-Interim, and MERRA, none of which show significant trends over the period 1979–2008. In contrast JRA-25 shows significant negative trends over 1979–2008 and ERA-40 gives significant positive trends during the 1980s (evident in both T500 and H500). Comparison to observations indicates that the positive trend in ERA-40 is spurious. At the smaller spatial scale of individual stations all five reanalyses have some spurious trends. However, ERA-Interim was found to be the most reliable for MSLP and H500 trends at station locations.
Author Bracegirdle, Thomas J.
Marshall, Gareth J.
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ContentType Journal Article
Copyright 2012 American Meteorological Society
2014 INIST-CNRS
Copyright American Meteorological Society Oct 15, 2012
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Issue 20
Keywords Data analysis
Geopotential height
Bias
reliability
Sea level pressure
Surface temperature
coastal zone
Meteorological station
Atmospheric temperature
Observation data
Reanalysis
Polar region
Radio sounding
Language English
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PublicationTitle Journal of climate
PublicationYear 2012
Publisher American Meteorological Society
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Nicolas (2020061420215698900_bib14) 2011; 32
Sherwood (2020061420215698900_bib21) 2008; 21
Haimberger (2020061420215698900_bib9) 2007; 20
Rienecker (2020061420215698900_bib17) 2011; 24
Hines (2020061420215698900_bib11) 2000; 13
Turner (2020061420215698900_bib24) 2011
Turner (2020061420215698900_bib25) 2006; 31
Thorne (2020061420215698900_bib23) 2011; 2
Phillpot (2020061420215698900_bib16) 1970; 75
Saha (2020061420215698900_bib18) 2010; 91
Bromwich (2020061420215698900_bib3) 2007; 112
Ebita (2020061420215698900_bib8) 2011; 7
Manney (2020061420215698900_bib12) 2003; 108
Screen (2020061420215698900_bib20) 2011; 24
Haimberger (2020061420215698900_bib10) 2008; 21
Uppala (2020061420215698900_bib26) 2005; 131
Cullather (2020061420215698900_bib6) 2012; 25
Dee (2020061420215698900_bib7) 2011; 137
Onogi (2020061420215698900_bib15) 2007; 85
Bromwich (2020061420215698900_bib2) 2004; 17
Sakamoto (2020061420215698900_bib19) 2009; 26
Marshall (2020061420215698900_bib13) 2002; 15
Bromwich (2020061420215698900_bib4) 2011; 24
Thorne (2020061420215698900_bib22) 2005; 110
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Snippet In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast System...
Abstract In this study, surface and radiosonde data from staffed Antarctic observation stations are compared to output from five reanalyses [Climate Forecast...
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SubjectTerms Air temperature
Analysis
Antarctic regions
Antarctic temperatures
Bias
Climate system
Climatology
Correlations
Datasets
Dynamic height
Earth, ocean, space
Energy balance
Exact sciences and technology
External geophysics
Geopotential
Geopotential height
Height
Mean sea level
Orography
Radiosonde data
Radiosondes
Resolution
Sea level
Sea level pressure
Studies
Summer
Surface energy
Surface energy balance
Surface properties
Surface temperature
Surface-air temperature relationships
Temperature
Trends
Weather
Winter
Title The Reliability of Antarctic Tropospheric Pressure and Temperature in the Latest Global Reanalyses
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