2000-2019 年格陵兰岛陆地表面温度的时空模式

IF 0.7 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES MAUSAM Pub Date : 2024-03-24 DOI:10.54302/mausam.v75i2.6099
Nitinun Pongsiri, Rhysa McNeil, R. Saelim, Benjamin Atta Owusu, Somporn Chuai-Aree
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引用次数: 0

摘要

格陵兰岛的温度动态是影响生态事件的一个重要因素。调查陆地表面温度(LST)模式对于了解不同地区的生态动态至关重要。格陵兰冰盖的进一步融化可能导致海洋和陆地生态系统的恶化。这项研究利用中分辨率成像分光仪卫星的数据来了解全岛的季节性模式和 LST 模式。本研究以 2000 年至 2019 年期间为重点,使用自然三次样条模型来确定所有子区域的季节模式。数据经过季节调整,并使用二阶自相关成分进行过滤。再次拟合样条线以确定 LST 模式,然后使用多元回归模型对空间相关性进行调整。结果表明,格陵兰岛大部分陆地表面温度趋势稳定。在研究期间观察到的格陵兰岛 LST 模式表明,在过去二十年中观察到的格陵兰岛冰层融化可能是由其他因素造成的,而不一定是 LST 模式。
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Spatial and temporal patterns of land surface temperature in Greenland from 2000-2019
Temperature dynamics on the island of Greenland are an important factor in shaping ecological events. Investigating the land surface temperature (LST) patterns is critical for understanding ecological dynamics across different regions. Further melting of the Greenland ice sheet could deva state marine and terrestrial ecosystems. This study used data from Moderate Resolution Imaging Spectroradiometer satellites to understand the seasonal patterns and patterns of LST over the entire island. Focusing on the period between 2000 and 2019, this study used a natural cubic spline model to identify seasonal patterns for all sub-regions. The data were seasonally adjusted and filtered with a second-order autocorrelation component. The spline was fitted again to identify the LST pattern, and a multivariate regression model was then used to adjust for spatial correlation. We illustrate that most of the land surface of Greenland hasstable temperature trends. These observed patterns in LST in Greenland during the study period suggest that the observed ice-sheet melting in Greenland within the last two decades could be due to other factors, not necessarily LST patterns.
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来源期刊
MAUSAM
MAUSAM 地学-气象与大气科学
CiteScore
1.20
自引率
0.00%
发文量
1298
审稿时长
6-12 weeks
期刊介绍: MAUSAM (Formerly Indian Journal of Meteorology, Hydrology & Geophysics), established in January 1950, is the quarterly research journal brought out by the India Meteorological Department (IMD). MAUSAM is a medium for publication of original scientific research work. MAUSAM is a premier scientific research journal published in this part of the world in the fields of Meteorology, Hydrology & Geophysics. The four issues appear in January, April, July & October.
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