Assessing the Impact of Data-resolution On Ocean Frontal Characteristics

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Kai Yang, Andrew M. Fischer
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引用次数: 0

Abstract

Easy access to and advances in satellite remote sensing data has enabled enhanced analysis of ocean fronts, physical and ecologically important areas where water masses converge. Recent development of higher-resolution satellite imagery to detect ocean fronts provides the potential to better capture patterns and trends of ocean change and improve modelling and prediction efforts. This study examines the relationship between satellite data spatial resolution and its influence on the quantification of frontal characteristics, frontal quantity, length, strength and density. We also examine the relationship between Finite-Size Lyapunov Exponents and image resolution. We found higher spatial resolution leads to increased frontal quantity and decreased frontal length. Also, both strength and spatial density of fronts differ at various resolutions. The Finite-Size Lyapunov Exponent value does not change significantly with resolution. Knowledge of the impact of resolution on the quantification of frontal characteristics is crucial as it enables the exploration of novel experimental design to further facilitate the development of improved parameterization and uncertainties in ocean modelling/studies.

Abstract Image

评估数据分辨率对海洋锋面特征的影响
卫星遥感数据的便捷获取和进步加强了对海洋前沿的分析,海洋前沿是水团汇聚的重要物理和生态区域。最近开发的用于探测海洋锋面的高分辨率卫星图像有可能更好地捕捉海洋变化的模式和趋势,并改进建模和预测工作。本研究探讨了卫星数据空间分辨率之间的关系及其对锋面特征、锋面数量、长度、强度和密度量化的影响。我们还研究了有限大小 Lyapunov 指数与图像分辨率之间的关系。我们发现,空间分辨率越高,额部数量越多,额部长度越短。此外,在不同分辨率下,锋面的强度和空间密度也不同。有限大小 Lyapunov 指数值不会随着分辨率的提高而发生显著变化。了解分辨率对锋面特征量化的影响至关重要,因为这有助于探索新的实验设计,进一步促进海洋建模/研究中参数化和不确定性的改进。
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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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