How uncertain and observable are marine ecosystem indicators in shelf seas?

IF 3.8 3区 地球科学 Q1 OCEANOGRAPHY Progress in Oceanography Pub Date : 2024-03-29 DOI:10.1016/j.pocean.2024.103249
Jozef Skákala , David Ford , Alison Fowler , Dan Lea , Matthew J. Martin , Stefano Ciavatta
{"title":"How uncertain and observable are marine ecosystem indicators in shelf seas?","authors":"Jozef Skákala ,&nbsp;David Ford ,&nbsp;Alison Fowler ,&nbsp;Dan Lea ,&nbsp;Matthew J. Martin ,&nbsp;Stefano Ciavatta","doi":"10.1016/j.pocean.2024.103249","DOIUrl":null,"url":null,"abstract":"<div><p>Operational analysis and forecast products of shelf sea biogeochemistry often lack reliable information on uncertainty. This is problematic, as good quality uncertainty information is both requested by the product end-users and essential for data assimilation. To address this problem we developed a quality-assessed ensemble representation of many leading sources of uncertainty in a coupled marine physical-biogeochemical model of the North-West European Shelf. Based on these ensembles we have estimated the uncertainty of several marine ecosystem health indicators (MEHIs), acting as proxies for biological productivity, phytoplankton community structure, trophic fluxes, deoxygenation, acidification and carbon export. We have also evaluated how observable these MEHIs are from the most widely available observations of total chlorophyll (mostly from the surface), highlighting those MEHIs and locations that need to be better monitored. Our results show that the most uncertain and the least observable MEHI is the phytoplankton community composition, highlighting the value of its observations (and their assimilation) particularly in the UK regional waters. We demonstrate that daily operational estimates of the other MEHIs, produced by the Met Office, are fairly well constrained. We also quantify how much MEHI uncertainties are reduced when one substantially coarsens the MEHI spatial and temporal resolution, as in the global and/or climate applications.</p></div>","PeriodicalId":20620,"journal":{"name":"Progress in Oceanography","volume":"224 ","pages":"Article 103249"},"PeriodicalIF":3.8000,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Oceanography","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0079661124000557","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OCEANOGRAPHY","Score":null,"Total":0}
引用次数: 0

Abstract

Operational analysis and forecast products of shelf sea biogeochemistry often lack reliable information on uncertainty. This is problematic, as good quality uncertainty information is both requested by the product end-users and essential for data assimilation. To address this problem we developed a quality-assessed ensemble representation of many leading sources of uncertainty in a coupled marine physical-biogeochemical model of the North-West European Shelf. Based on these ensembles we have estimated the uncertainty of several marine ecosystem health indicators (MEHIs), acting as proxies for biological productivity, phytoplankton community structure, trophic fluxes, deoxygenation, acidification and carbon export. We have also evaluated how observable these MEHIs are from the most widely available observations of total chlorophyll (mostly from the surface), highlighting those MEHIs and locations that need to be better monitored. Our results show that the most uncertain and the least observable MEHI is the phytoplankton community composition, highlighting the value of its observations (and their assimilation) particularly in the UK regional waters. We demonstrate that daily operational estimates of the other MEHIs, produced by the Met Office, are fairly well constrained. We also quantify how much MEHI uncertainties are reduced when one substantially coarsens the MEHI spatial and temporal resolution, as in the global and/or climate applications.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
陆架海域海洋生态系统指标的不确定性和可观测性如何?
陆架海生物地球化学的业务分析和预报产品往往缺乏可靠的不确定性信息。这是一个问题,因为高质量的不确定性信息既是产品最终用户的要求,也是数据同化的关键。为了解决这个问题,我们在西北欧大陆架的海洋物理-生物地球化学耦合模式中,对许多主要的不确定性来源进行了质量评估的集合表示。在这些集合的基础上,我们估算了几个海洋生态系统健康指标(MEHIs)的不确定性,这些指标是生物生产力、浮游植物群落结构、营养通量、脱氧、酸化和碳输出的代理指标。我们还评估了这些 MEHIs 在多大程度上可以通过最广泛使用的叶绿素总量观测数据(主要来自地表)来观测,突出了那些需要更好监测的 MEHIs 和地点。我们的研究结果表明,浮游植物群落组成是最不确定和最不容易观测到的 MEHI,这突出了观测(及其同化)的价值,尤其是在英国区域水域。我们证明,由气象局提供的其他 MEHI 的每日业务估算值具有相当好的约束性。我们还量化了在全球和/或气候应用中,当大幅提高 MEHI 的空间和时间分辨率时,MEHI 的不确定性会降低多少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Progress in Oceanography
Progress in Oceanography 地学-海洋学
CiteScore
7.20
自引率
4.90%
发文量
138
审稿时长
3 months
期刊介绍: Progress in Oceanography publishes the longer, more comprehensive papers that most oceanographers feel are necessary, on occasion, to do justice to their work. Contributions are generally either a review of an aspect of oceanography or a treatise on an expanding oceanographic subject. The articles cover the entire spectrum of disciplines within the science of oceanography. Occasionally volumes are devoted to collections of papers and conference proceedings of exceptional interest. Essential reading for all oceanographers.
期刊最新文献
Perspectives on Northern Gulf of Alaska salinity field structure, freshwater pathways, and controlling mechanisms Seasonal variations of the cold intermediate layer on the Newfoundland and Labrador Shelf Changes in prey-predator interactions in an Arctic food web under climate change Reduced phytoplankton biomass in a subtropical plume-upwelling system induced by typhoons Bailu and Podul C:N stoichiometry and the fate of organic carbon in ecosystems of the northwest Pacific Ocean
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1