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A satellite-derived climate-quality data record of the clear-sky surface temperature of the Greenland ice sheet.

机译:来自格陵兰冰原晴空表面温度的卫星气候质量数据记录。

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摘要

The authors have developed a climate-quality data record of the clear-sky surface temperature of the Greenland Ice Sheet using the Moderate-Resolution Imaging Spectroradiometer (MODIS) ice-surface temperature (IST) algorithm. Daily and monthly quality-controlled MODIS ISTs of the Greenland Ice Sheet beginning on 1 March 2000 and continuing through 31 December 2010 are presented at 6.25-km spatial resolution on a polar stereographic grid along with metadata to permit detailed accuracy assessment. The ultimate goal is to develop a climate data record (CDR) that starts in 1981 with the Advanced Very High Resolution Radiometer (AVHRR) Polar Pathfinder (APP) dataset and continues with MODIS data from 2000 to the present, and into the Visible Infrared Imager Radiometer Suite (VIIRS) era (the first VIIRS instrument was launched in October 2011). Differences in the APP and MODIS cloud masks have thus far precluded merging the APP and MODIS IST records, though this will be revisited after the APP dataset has been reprocessed with an improved cloud mask. IST of Greenland may be used to study temperature and melt trends and may also be used in data assimilation modeling and to calculate ice sheet mass balance. The MODIS IST climate-quality dataset provides a highly consistent and well-characterized record suitable for merging with earlier and future IST data records for climate studies. The complete MODIS IST daily and monthly data record is available online.
机译:作者利用中分辨率成像光谱仪(MODIS)冰表面温度(IST)算法开发了格陵兰冰原晴空表面温度的气候质量数据记录。从2000年3月1日开始一直持续到2010年12月31日的格陵兰冰原的每日和每月质量控制MODIS IST在极地立体网格上以6.25公里的空间分辨率以及元数据显示,以进行详细的准确性评估。最终目标是开发一个气候数据记录(CDR),该记录始于1981年,它使用超高分辨率高分辨率辐射计(AVHRR)极地路径查找器(APP)数据集,并从2000年至今一直使用MODIS数据,并进入可见红外成像仪辐射计套件(VIIRS)时代(2011年10月推出了第一台VIIRS仪器)。到目前为止,APP和MODIS云掩码的差异尚无法合并APP和MODIS IST记录,不过在使用改进的云掩码对APP数据集进行了重新处理之后,将重新进行合并。格陵兰岛的IST可以用于研究温度和融化趋势,也可以用于数据同化建模和计算冰盖质量平衡。 MODIS IST的气候质量数据集提供了高度一致且特征明确的记录,适合与气候研究的早期和未来IST数据记录合并。完整的MODIS IST每日和每月数据记录可在线获得。

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