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Preprints
https://doi.org/10.5194/essd-2019-215
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-2019-215
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  16 Dec 2019

16 Dec 2019

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This preprint has been withdrawn by the authors.

AntAir: satellite-derived 1 km daily Antarctic air temperatures since 2003

Hanna Meyer1, Marwan Katurji2, Florian Detsch3, Fraser Morgan4, Thomas Nauss5, Pierre Roudier6,7, and Peyman Zawar-Reza2 Hanna Meyer et al.
  • 1Institute of Landscape Ecology, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany
  • 2Center for Atmospheric Research, University of Canterbury, Christchurch 8020, New Zealand
  • 3METER Group AG, 81379 München, Germany
  • 4Environmental Informatics, Landcare Research, Auckland 1142, New Zealand
  • 5Environmental Informatics, Faculty of Geography, Philipps-Universität Marburg, 35037 Marburg, Germany
  • 6Soils & Landscapes, Landcare Research, Palmerston North 4442, New Zealand
  • 7Te Punaha Matatini, a New Zealand Centre for Research Excellence, Private Bag 92019, Auckland 1142, New Zealand

Abstract. Air temperature is an important baseline parameter for terrestrial Antarctica in the context of patterns and processes in climatology, hydrology or ecology. There are still large uncertainties on how the Antarctic system responds to spatio-temporal variability of temperature. This can partly be attributed to the lack of high resolution datasets. In this paper, we present AntAir, a new dataset of gridded air temperatures in 1 km spatial and daily temporal resolution that is available since 2003. AntAir was created by modelling daily air temperature from MODIS land surface temperature using machine learning algorithms. Data from 70 weather stations was used as a reference. Daily temperatures could be estimated with a R2 of 0.91 and a RMSE of 5.07 °C validated on independent years. The performance to estimate the time series of a new spatial location was R2 = 0.78 and RMSE = 5.83 °C. Hence the high spatial and temporal resolution of the dataset as well as the high accuracy make AntAir an important baseline dataset for a wide range of applications in environmental science of Antarctica. The dataset is available at https://doi.pangaea.de/10.1594/PANGAEA.902166 (daily, Meyer et al., 2019a) and https://doi.pangaea.de/10.1594/PANGAEA.902193 (monthly, Meyer et al., 2019b).

This preprint has been withdrawn.

Hanna Meyer et al.

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Hanna Meyer et al.

Data sets

AntAir: satellite-derived 1km daily Antarctic air temperatures 2003-2016 H. Meyer, M. Katurji, F. Detsch, F. Morgan, T. Nauss, P. Roudier, and R. Zawar-Reza https://doi.pangaea.de/10.1594/PANGAEA.902166

AntAir: satellite-derived 1km daily Antarctic air temperatures since 2003-2016 (monthly means) H. Meyer, M. Katurji, F. Detsch, F. Morgan, T. Nauss, P. Roudier, and R. Zawar-Reza https://doi.org/10.1594/PANGAEA.902193

Hanna Meyer et al.

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Short summary
Air temperature is an important baseline parameter for terrestrial Antarctica in the context of patterns and processes in climatology, hydrology or ecology. In this paper, we present AntAir, a new dataset of gridded air temperatures in 1 km spatial and daily temporal resolution that is available since 2003. AntAir was created by modelling daily air temperature from MODIS satellite-based land surface temperature using machine learning algorithms and measurements from 70 weather stations.
Air temperature is an important baseline parameter for terrestrial Antarctica in the context of...
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