Near-Surface Air Temperature Records over the Past 30 Years in the Interior of Dronning Maud Land, East Antarctica

Naoyuki Kurita aInstitute of Space-Earth Environmental Science, Nagoya University, Nagoya, Japan

Search for other papers by Naoyuki Kurita in
Current site
Google Scholar
PubMed
Close
,
Takao Kameda bSnow and Ice Research Laboratory, Kitami Institute of Technology, Kitami, Japan

Search for other papers by Takao Kameda in
Current site
Google Scholar
PubMed
Close
,
Hideaki Motoyama cNational Institute of Polar Research, Tachikawa, Japan

Search for other papers by Hideaki Motoyama in
Current site
Google Scholar
PubMed
Close
,
Naohiko Hirasawa cNational Institute of Polar Research, Tachikawa, Japan

Search for other papers by Naohiko Hirasawa in
Current site
Google Scholar
PubMed
Close
,
David Mikolajczyk dAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin

Search for other papers by David Mikolajczyk in
Current site
Google Scholar
PubMed
Close
,
Lee J. Welhouse dAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin
fDepartment of Physical Sciences, School of Engineering, Science and Mathematics, Madison Area Technical College, Madison, Wisconsin

Search for other papers by Lee J. Welhouse in
Current site
Google Scholar
PubMed
Close
,
Linda M. Keller dAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin
eDepartment of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, Wisconsin

Search for other papers by Linda M. Keller in
Current site
Google Scholar
PubMed
Close
,
George A. Weidner dAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin
eDepartment of Atmospheric and Oceanic Sciences, University of Wisconsin–Madison, Madison, Wisconsin

Search for other papers by George A. Weidner in
Current site
Google Scholar
PubMed
Close
, and
Matthew A. Lazzara dAntarctic Meteorological Research and Data Center, Space Science and Engineering Center, University of Wisconsin–Madison, Madison, Wisconsin
fDepartment of Physical Sciences, School of Engineering, Science and Mathematics, Madison Area Technical College, Madison, Wisconsin

Search for other papers by Matthew A. Lazzara in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The interior of Dronning Maud Land (DML) in East Antarctica is one of the most data-sparse regions of Antarctica for studying climate change. A monthly mean near-surface temperature dataset for the last 30 years has been compiled from the historical records from automatic weather stations (AWSs) at three sites in the region (Mizuho, Relay Station, and Dome Fuji). Multiple AWSs have been installed along the route to Dome Fuji since the 1990s, and observations have continued to the present day. The use of passive-ventilated radiation shields for the temperature sensors at the AWSs may have caused a warm bias in the temperature measurements, however, due to insufficient ventilation in the summer, when solar radiation is high and winds are low. In this study, these warm biases are quantified by comparison with temperature measurements with an aspirated shield and subsequently removed using a regression model. Systematic error resulting from changes in the sensor height due to accumulating snow was insignificant in our study area. Several other systematic errors occurring in the early days of the AWS systems were identified and corrected. After the corrections, multiple AWS records were integrated to create a time series for each station. The percentage of missing data over the three decades was 21% for Relay Station and 28% for Dome Fuji. The missing rate at Mizuho was 49%, more than double that at Relay Station. These new records allow for the study of temperature variability and change in DML, where climate change has so far been largely unexplored.

Significance Statement

Antarctic climate change has been studied using temperature data at staffed stations. The staffed stations, however, are mainly located on the Antarctic Peninsula and in the coastal regions. Climate change is largely unknown in the Antarctic plateau, particularly in the western sector of the East Antarctic Plateau in areas such as the interior of Dronning Maud Land (DML). To fill the data gap, this study presents a new dataset of monthly mean near-surface climate data using historical observations from three automatic weather stations (AWSs). This dataset allows us to study temperature variability and change over a data-sparse region where climate change has been largely unexplored.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Naoyuki Kurita, nkurita@isee.nagoya-u.ac.jp

Abstract

The interior of Dronning Maud Land (DML) in East Antarctica is one of the most data-sparse regions of Antarctica for studying climate change. A monthly mean near-surface temperature dataset for the last 30 years has been compiled from the historical records from automatic weather stations (AWSs) at three sites in the region (Mizuho, Relay Station, and Dome Fuji). Multiple AWSs have been installed along the route to Dome Fuji since the 1990s, and observations have continued to the present day. The use of passive-ventilated radiation shields for the temperature sensors at the AWSs may have caused a warm bias in the temperature measurements, however, due to insufficient ventilation in the summer, when solar radiation is high and winds are low. In this study, these warm biases are quantified by comparison with temperature measurements with an aspirated shield and subsequently removed using a regression model. Systematic error resulting from changes in the sensor height due to accumulating snow was insignificant in our study area. Several other systematic errors occurring in the early days of the AWS systems were identified and corrected. After the corrections, multiple AWS records were integrated to create a time series for each station. The percentage of missing data over the three decades was 21% for Relay Station and 28% for Dome Fuji. The missing rate at Mizuho was 49%, more than double that at Relay Station. These new records allow for the study of temperature variability and change in DML, where climate change has so far been largely unexplored.

Significance Statement

Antarctic climate change has been studied using temperature data at staffed stations. The staffed stations, however, are mainly located on the Antarctic Peninsula and in the coastal regions. Climate change is largely unknown in the Antarctic plateau, particularly in the western sector of the East Antarctic Plateau in areas such as the interior of Dronning Maud Land (DML). To fill the data gap, this study presents a new dataset of monthly mean near-surface climate data using historical observations from three automatic weather stations (AWSs). This dataset allows us to study temperature variability and change over a data-sparse region where climate change has been largely unexplored.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Naoyuki Kurita, nkurita@isee.nagoya-u.ac.jp
Save
  • Bromwich, D. H., J. P. Nicolas, A. J. Monaghan, M. A. Lazzara, L. M. Keller, G. A. Weidner, and A. B. Wilson, 2012: Central West Antarctica among the most rapidly warming regions on Earth. Nat. Geosci., 6, 139145, https://doi.org/10.1038/ngeo1671.

    • Search Google Scholar
    • Export Citation
  • Clem, K. R., R. L. Fogt, J. Turner, B. R. Lintner, G. J. Marshall, J. R. Miller, and J. A. Renwick, 2020: Record warming at the South Pole during the past three decades. Nat. Climate Change, 10, 762770, https://doi.org/10.1038/s41558-020-0815-z.

    • Search Google Scholar
    • Export Citation
  • Enomoto, H., H. Warashina, H. Motoyama, S. Takahashi, and J. Koike, 1995: Data-logging automatic weather station along the traverse route from Syowa to Dome Fuji. Proc. NIPR Symp. Polar Meteor. Glaciol., 9, 6675.

    • Search Google Scholar
    • Export Citation
  • Genthon, C., D. Six, V. Favier, M. Lazzara, and L. Keller, 2011: Atmospheric temperature measurement biases on the Antarctic Plateau. J. Atmos. Oceanic Technol., 28, 15981605, https://doi.org/10.1175/JTECH-D-11-00095.1.

    • Search Google Scholar
    • Export Citation
  • Gossart, A., S. Helsen, J. Lenaerts, S. V. Broucke, N. P. M. van Lipzig, and N. Souverijns, 2019: An evaluation of surface climatology in state-of-the-art reanalyses over the Antarctic Ice Sheet. J. Climate, 32, 68996915, https://doi.org/10.1175/JCLI-D-19-0030.1.

    • Search Google Scholar
    • Export Citation
  • Hersbach, H., and Coauthors, 2020: The ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 19992049, https://doi.org/10.1002/qj.3803.

    • Search Google Scholar
    • Export Citation
  • Jacka, T. H., and W. F. Budd, 1998: Detection of temperature and sea-ice-extent changes in the Antarctic and Southern Ocean, 1949–96. Ann. Glaciol., 27, 553559, https://doi.org/10.3189/1998AoG27-1-553-559.

    • Search Google Scholar
    • Export Citation
  • Jones, P. D., 1995: Recent variations in mean temperature and the diurnal temperature range in the Antarctic. Geophys. Res. Lett., 22, 13451348, https://doi.org/10.1029/95GL01198.

    • Search Google Scholar
    • Export Citation
  • Kameda, T., and Coauthors, 1997: Meteorological observations along a traverse route from coast to Dome Fuji Station, Antarctica, recorded by automatic weather station in 1995. Proc. NIPR Symp. Polar Meteor. Glaciol., 11, 3550.

    • Search Google Scholar
    • Export Citation
  • Kikuchi, T., and T. Endoh, 1993: Development of automatic weather stations in the Japanese Antarctic Climate Research Program (ACR). Proc. NIPR Symp. Polar Meteor. Glaciol., 7, 7382.

    • Search Google Scholar
    • Export Citation
  • Lazzara, M. A., G. A. Weidner, L. M. Keller, J. E. Thom, and J. J. Cassano, 2012: Antarctic Automatic Weather Station program: 30 years of polar observation. Bull. Amer. Meteor. Soc., 93, 15191537, https://doi.org/10.1175/BAMS-D-11-00015.1.

    • Search Google Scholar
    • Export Citation
  • Lopardo, G., F. Bertiglia, S. Curci, G. Roggero, and A. Merlone, 2014: Comparative analysis of the influence of solar radiation screen ageing on temperature measurements by means of weather stations. Int. J. Climatol., 34, 12971310, https://doi.org/10.1002/joc.3765.

    • Search Google Scholar
    • Export Citation
  • Morino, S., and Coauthors, 2021: Comparison of ventilated and unventilated air temperature measurements in inland Dronning Maud Land on the East Antarctic Plateau. J. Atmos. Oceanic Technol., 38, 20612070, https://doi.org/10.1175/JTECH-D-21-0107.1.

    • Search Google Scholar
    • Export Citation
  • Nakamura, R., and L. Mahrt, 2005: Air temperature measurement errors in naturally ventilated radiation shields. J. Atmos. Oceanic Technol., 22, 10461058, https://doi.org/10.1175/JTECH1762.1.

    • Search Google Scholar
    • Export Citation
  • Pietroni, I., S. Argentini, and I. Petenko, 2014: One year of surface-based temperature inversions at Dome C, Antarctica. Bound.-Layer Meteor., 150, 131151, https://doi.org/10.1007/s10546-013-9861-7.

    • Search Google Scholar
    • Export Citation
  • Takahashi, S., and Coauthors, 1998: Automatic weather station program during Dome Fuji project by JARE in East Dronning Maud Land, Antarctica. Ann. Glaciol., 27, 528534, https://doi.org/10.3189/1998AoG27-1-528-534.

    • Search Google Scholar
    • Export Citation
  • Takahashi, S., T. Kameda, H. Enomoto, H. Motoyama, and O. Watanabe, 2004: Automatic weather station (AWS) data collected by the 33rd to 42nd Japanese Antarctic research expeditions during 1993–2001. JARE Data Rep. Meteorology 276, 416 pp., https://nipr.repo.nii.ac.jp/records/5871.

  • Turner, J., and Coauthors, 2004: The SCAR READER project: Toward a high-quality database of mean Antarctic meteorological observations. J. Climate, 17, 28902898, https://doi.org/10.1175/1520-0442(2004)017<2890:tsrpta>2.0.co;2.

    • Search Google Scholar
    • Export Citation
  • Turner, J., and Coauthors, 2005: Antarctic climate change during the last 50 years. Int. J. Climatol., 25, 279294, https://doi.org/10.1002/joc.1130.

    • Search Google Scholar
    • Export Citation
  • Turner, J., and Coauthors, 2016: Absence of 21st century warming on Antarctic Peninsula consistent with natural variability. Nature, 535, 411415, https://doi.org/10.1038/nature18645.

    • Search Google Scholar
    • Export Citation
  • Turner, J., G. J. Marshall, K. Clem, S. Colwell, T. Phillips, and H. Lu, 2020: Antarctic temperature variability and change from station data. Int. J. Climatol., 40, 29863007, https://doi.org/10.1002/joc.6378.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 256 256 36
Full Text Views 89 89 22
PDF Downloads 91 91 25