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A high-resolution synthesis dataset for multistressor analyses along the U.S. West Coast
Earth System Science Data ( IF 11.4 ) Pub Date : 2023-05-31 , DOI: 10.5194/essd-2023-205
Esther G. Kennedy , Meghan Zulian , Sara L. Hamilton , Tessa M. Hill , Manuel Delgado , Carina R. Fish , Brian Gaylord , Kristy J. Kroeker , Hannah M. Palmer , Aurora M. Ricart , Eric Sanford , Ana K. Spalding , Melissa Ward , Guadalupe Carrasco , Meredith Elliott , Genece V. Grisby , Evan Harris , Jaime Jahncke , Catherine N. Rocheleau , Sebastian Westerink , Maddie I. Wilmot

Abstract. The global trends of ocean warming, deoxygenation, and acidification are not easily extrapolated to coastal environments. Local factors, including intricate hydrodynamics, high primary productivity, freshwater inputs, and pollution, can exacerbate or attenuate global trends and produce complex mosaics of physiologically stressful conditions for organisms. In the California Current System (CCS), oceanographic monitoring programs document some of this complexity; however, data fragmentation and limited data availability constrain our understanding of when and where stressful coastal conditions manifest. Here, we undertake a large data synthesis to compile, format, and quality-control publicly available oceanographic data to create an accessible database for coastal CCS climate risk mapping, available at the National Centers for Environmental Information (Accession 0277984) under the DOI 10.25921/2vve-fh39 (Kennedy et al., 2023). With this synthesis, we combine publicly available observations and data contributed by the author team from synoptic oceanographic cruises, autonomous sensors, and shore samples with relevance to coastal ocean acidification and hypoxia (OAH) risk. This large-scale compilation includes 13.7 million observations from 67 sources. Here, we discuss the quality and composition of the synthesized dataset, the spatial and temporal distribution of available data, and examples of potential analyses. This dataset will provide a valuable tool for assessing regional and local climate risk, evaluating the efficacy and completeness of CCS monitoring efforts, and investigating spatiotemporal scales of coastal oceanographic variability.

中文翻译:

用于美国西海岸多应力源分析的高分辨率综合数据集

摘要。海洋变暖、脱氧和酸化的全球趋势不容易外推到沿海环境。当地因素,包括复杂的流体动力学、高初级生产力、淡水输入和污染,可以加剧或减弱全球趋势,并为生物体产生复杂的生理压力条件。在加利福尼亚洋流系统 (CCS) 中,海洋学监测计划记录了其中的一些复杂性;然而,数据碎片化和有限的数据可用性限制了我们对紧张的沿海条件出现的时间和地点的理解。在这里,我们进行了大量数据综合,以编译、格式化和质量控制公开可用的海洋学数据,从而为沿海 CCS 气候风险绘图创建一个可访问的数据库,可在国家环境信息中心(登录号 0277984)获取,DOI 10.25921/2vve-fh39(肯尼迪等人,2023 年)。通过这种综合,我们结合了公开可用的观察结果和作者团队提供的来自天气海洋学巡航、自主传感器和与沿海海洋酸化和缺氧 (OAH) 风险相关的海岸样本的数据。这一大规模汇编包括来自 67 个来源的 1370 万条观察结果。在这里,我们讨论了合成数据集的质量和组成、可用数据的空间和时间分布以及潜在分析的示例。该数据集将为评估区域和当地气候风险、评估 CCS 监测工作的有效性和完整性提供有价值的工具,
更新日期:2023-05-31
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