Climatological distribution of ocean acidification variables along the North American ocean margins

IF 11.2 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY Earth System Science Data Pub Date : 2024-07-24 DOI:10.5194/essd-16-3383-2024
Li‐Qing Jiang, Tim P. Boyer, C. Paver, Hyelim Yoo, James R. Reagan, Simone R. Alin, L. Barbero, Brendan R. Carter, Richard A. Feely, Rik Wanninkhof
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Abstract

Abstract. Climatologies, which depict mean fields of oceanographic variables on a regular geographic grid, and atlases, which provide graphical depictions of specific areas, play pivotal roles in comprehending the societal vulnerabilities linked to ocean acidification (OA). This significance is particularly pronounced in coastal regions where most economic activities, such as commercial and recreational fisheries and aquaculture industries, occur. In this paper, we unveil a comprehensive data product featuring coastal ocean acidification climatologies and atlases, encompassing the fugacity of carbon dioxide, pH on the total scale, total hydrogen ion content, free hydrogen ion content, carbonate ion content, aragonite saturation state, calcite saturation state, Revelle factor, total dissolved inorganic carbon content, and total alkalinity content. These variables are provided on 1° × 1° spatial grids at 14 standardized depth levels, ranging from the surface to a depth of 500 m, along the North American ocean margins, defined as the region between the coastline and a distance of 200 nautical miles (∼370 km) offshore. The climatologies and atlases were developed using the World Ocean Atlas (WOA) gridding methods of the NOAA National Centers for Environmental Information (NCEI) based on the recently released Coastal Ocean Data Analysis Product in North America (CODAP-NA), along with the 2021 update to the Global Ocean Data Analysis Project version 2 (GLODAPv2.2021) data product. The relevant variables were adjusted to the index year of 2010. The data product is available in NetCDF (https://doi.org/10.25921/g8pb-zy76, Jiang et al., 2022b) on the NOAA Ocean Carbon and Acidification Data System: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0270962.html (last access: 15 July 2024). It is recommended to use the objectively analyzed mean fields (with “_an” suffix) for each variable. The atlases can be accessed at https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/nacoastal.html (last access: 15 July 2024).
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北美海缘海洋酸化变量的气候分布
摘要。气候学和地图册在理解与海洋酸化(OA)相关的社会脆弱性方面发挥着关键作用,气候学描述了常规地理网格上海洋变量的平均值,而地图册则提供了特定区域的图形描述。在商业和休闲渔业以及水产养殖业等经济活动最为活跃的沿海地区,这种重要性尤为明显。在本文中,我们发布了一个综合数据产品,包括沿岸海洋酸化气候和地图,包括二氧化碳逸度、总尺度 pH 值、总氢离子含量、游离氢离子含量、碳酸根离子含量、文石饱和状态、方解石饱和状态、Revelle 因子、溶解无机碳总含量和总碱度含量。这些变量按 1° × 1° 的空间网格提供,从海面到 500 米深度的 14 个标准化深度层次,沿北美海洋边缘(定义为从海岸线到离岸 200 海里(370 公里)之间的区域)分布。气候学和地图集是根据最近发布的北美沿岸海洋数据分析产品(CODAP-NA)以及 2021 年更新的全球海洋数据分析项目第 2 版(GLODAPv2.2021)数据产品,采用美国国家海洋和大气管理局(NOAA)国家环境信息中心(NCEI)的世界海洋地图集(WOA)网格划分方法绘制的。相关变量已调整为 2010 指数年。该数据产品的 NetCDF 格式(https://doi.org/10.25921/g8pb-zy76,Jiang 等,2022b)可在 NOAA 海洋碳和酸化数据系统上查阅:https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0270962.html(最后访问日期:2024 年 7 月 15 日)。建议对每个变量使用客观分析的平均值字段(后缀为"_an")。地图集的访问网址为 https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/nacoastal.html(最后访问日期:2024 年 7 月 15 日)。
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来源期刊
Earth System Science Data
Earth System Science Data GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
18.00
自引率
5.30%
发文量
231
审稿时长
35 weeks
期刊介绍: Earth System Science Data (ESSD) is an international, interdisciplinary journal that publishes articles on original research data in order to promote the reuse of high-quality data in the field of Earth system sciences. The journal welcomes submissions of original data or data collections that meet the required quality standards and have the potential to contribute to the goals of the journal. It includes sections dedicated to regular-length articles, brief communications (such as updates to existing data sets), commentaries, review articles, and special issues. ESSD is abstracted and indexed in several databases, including Science Citation Index Expanded, Current Contents/PCE, Scopus, ADS, CLOCKSS, CNKI, DOAJ, EBSCO, Gale/Cengage, GoOA (CAS), and Google Scholar, among others.
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