ESSDD

Earth System Science Data Discussions

ESSDD

Earth Syst. Sci. Data Discuss.

1866-3591

Göttingen, Germany

10.5194/essd-2019-215

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

Meyer

Hanna

¹ Katurji

Marwan

https://orcid.org/0000-0002-3368-1469

² Detsch

Florian

https://orcid.org/0000-0003-2755-5332

³ Morgan

Fraser

https://orcid.org/0000-0002-7964-3361

⁴ Nauss

Thomas

https://orcid.org/0000-0003-3422-0960

⁵ Roudier

Pierre

https://orcid.org/0000-0001-7431-2603

⁶ ⁷ Zawar-Reza

Peyman

Institute of Landscape Ecology, Westfälische Wilhelms-Universität Münster, 48149 Münster, Germany

Center for Atmospheric Research, University of Canterbury, Christchurch 8020, New Zealand

METER Group AG, 81379 München, Germany

Environmental Informatics, Landcare Research, Auckland 1142, New Zealand

Environmental Informatics, Faculty of Geography, Philipps-Universität Marburg, 35037 Marburg, Germany

Soils & Landscapes, Landcare Research, Palmerston North 4442, New Zealand

Te Punaha Matatini, a New Zealand Centre for Research Excellence, Private Bag 92019, Auckland 1142, New Zealand

Ministry of Science and Innovation, New Zealand

CO9X1413

16 12 2019

2019 1 18

2019

This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/

This article is available from https://essd.copernicus.org/preprints/essd-2019-215/

The full text article is available as a PDF file from https://essd.copernicus.org/preprints/essd-2019-215/essd-2019-215.pdf

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 <a href="https://doi.pangaea.de/10.1594/PANGAEA.902166" target="_blank">https://doi.pangaea.de/10.1594/PANGAEA.902166</a> (daily, Meyer et al., 2019a) and <a href="https://doi.pangaea.de/10.1594/PANGAEA.902193" target="_blank">https://doi.pangaea.de/10.1594/PANGAEA.902193</a> (monthly, Meyer et al., 2019b).