Antarctic daily mesoscale air temperature dataset derived from MODIS land and ice surface temperature

被引:0
|
作者
Nielsen, Eva Bendix [1 ]
Katurji, Marwan [1 ]
Zawar-Reza, Peyman [1 ]
Meyer, Hanna [2 ]
机构
[1] Univ Canterbury, Sch Earth & Environm, Ctr Atmospher Res, Christchurch, New Zealand
[2] Univ Munster, Inst Landscape Ecol, Munster, Germany
关键词
MCMURDO DRY VALLEYS; REGIONAL CLIMATE; VARIABILITY; SHEET; MELT; GREENLAND; MODEL; WINDS;
D O I
10.1038/s41597-023-02720-z
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Knowledge about local air temperature variations and extremes in Antarctica is of large interest to many polar disciplines such as climatology, glaciology, hydrology, and ecology and it is a key variable to understand climate change. Due to the remote and harsh conditions of Antarctica's environment, the distribution of air temperature observations from Automatic Weather Stations is notably sparse across the region. Previous studies have shown that satellite-derived land and ice surface temperatures can be used as a suitable proxy for air temperature. Here, we developed a daily near-surface air temperature dataset, AntAir ICE for terrestrial Antarctica and the surrounding ice shelves by modelling air temperature from MODIS skin temperature for the period 2003 to 2021 using a linear model. AntAir ICE has a daily temporal resolution and a gridded spatial resolution of 1 km2. AntAir ICE has a higher accuracy in reproducing in-situ measured air temperature when compared with the well-established climate re-analysis model ERA5 and a higher spatial resolution which highlights its potential for monitoring temperature patterns in Antarctica.
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页数:12
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