当前位置: X-MOL 学术Int. J. Remote Sens. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
The variability of sea surface temperature in the Patagonian Shelf Argentina, from 35 years of satellite information
International Journal of Remote Sensing ( IF 3.4 ) Pub Date : 2021-06-16 , DOI: 10.1080/01431161.2021.1934600
Lucrecia Allega 1 , Juan Pablo Pisoni 2, 3 , Ezequiel Cozzolino 1 , Reinaldo Agustín Maenza 4 , María Cintia Piccolo 5, 6
Affiliation  

ABSTRACT

The aim of the present work is to analyse the variations of Sea Surface Temperature (SST) and Anomaly of Sea Surface Temperature (ASST) using more than thirty years of satellite data. We studied if these variations have possible ocean-atmosphere connections with the Southern Annular Mode (SAM), the Southern Oscillation Index (SOI), and the Oceanic Niño Index (ONI) in a crucial region for fisheries off the Patagonian Shelf. For the analysis, we used SST data collected from 1985 to 2019 with Advanced Very High Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments. The two databases were merged to obtain 35 years of continuous SST data. The study area was divided into three zones to present different oceanographic and bathymetric characteristics. These zones are located in the gulf, in the middle of the continental shelf, and at the shelf break. For each of the zones, the monthly SST climatology and the ASST series are shown. To define their periodicity, monthly ASST data were analysed spectrally by Fast Fourier Transform (FFT) and Wavelet Transform. Cross-Wavelet Transform (XWT) was applied to analyse the co-variance of ASST with respect to climate indices. Our results show that the isotherm distribution seems to be separated by the 64º W meridian. To the east of 64º W, it follows an oblique direction from southwest to northeast; to the west of 64º W, a more complex behaviour of the SST field seems to be associated with the coastal dynamics. The ASST series shows that the values of negative anomalies are higher than those of the positive ones. Nevertheless, positive ASSTs are more extreme and persistent in time than the negative ones. The ASST wavelet diagrams denote a common and non-stationary periodicity in the three zones, with statistically significant power spectra in the intra-seasonal (9-month) and inter-annual (24-month and 4-year) time scales. There are clearly common features in the wavelet power of the time series related to ASST and climate forcing. The SAM exhibited the closest relationship with ASST in the three zones. The SAM and ASST indices denote significant power peaks in the 2-year and 4- to 6-year bands.



中文翻译:

来自 35 年卫星信息的阿根廷巴塔哥尼亚大陆架海面温度的变化

摘要

目前工作的目的是使用三十多年的卫星数据分析海面温度(SST)的变化和海面温度异常(ASST)。我们研究了这些变化是否可能与巴塔哥尼亚大陆架附近渔业关键区域的南环模态 (SAM)、南方涛动指数 (SOI) 和海洋尼诺指数 (ONI) 存在海洋-大气联系。为了进行分析,我们使用了从 1985 年到 2019 年通过高级甚高分辨率辐射计 (AVHRR) 和中分辨率成像光谱仪 (MODIS) 仪器收集的 SST 数据。将两个数据库合并,获得 35 年的连续 SST 数据。研究区被划分为三个区域以呈现不同的海洋学和测深特征。这些区域位于海湾,在大陆架中间,在大陆架断裂处。对于每个区域,显示了每月 SST 气候学和 ASST 系列。为了定义它们的周期性,通过快速傅立叶变换 (FFT) 和小波变换对每月的 ASST 数据进行光谱分析。应用交叉小波变换 (XWT) 来分析 ASST 与气候指数的协方差。我们的结果表明等温线分布似乎被 64º W 子午线分开。在西经64º以东,呈西南向东北斜向;在 64º W 以西,SST 场的更复杂行为似乎与沿海动力学有关。ASST系列显示负异常值高于正异常值。尽管如此,积极的 ASST 比消极的 ASST 在时间上更加极端和持久。ASST 小波图表示三个区域中的共同和非平稳周期性,在季节内(9 个月)和年际(24 个月和 4 年)时间尺度上具有统计上显着的功率谱。与 ASST 和气候强迫相关的时间序列的小波功率具有明显的共同特征。在三个区域中,SAM 与 ASST 的关系最为密切。SAM 和 ASST 指数表示 2 年和 4 至 6 年波段的显着功率峰值。与 ASST 和气候强迫相关的时间序列的小波功率具有明显的共同特征。在三个区域中,SAM 与 ASST 的关系最为密切。SAM 和 ASST 指数表示 2 年和 4 至 6 年波段的显着功率峰值。与 ASST 和气候强迫相关的时间序列的小波功率具有明显的共同特征。在三个区域中,SAM 与 ASST 的关系最为密切。SAM 和 ASST 指数表示 2 年和 4 至 6 年波段的显着功率峰值。

更新日期:2021-07-18
down
wechat
bug