Estimating the biological carbon pump from satellite-based observations using a semi-analytical algorithm in the Arctic Ocean

IF 11.4 1区地球科学 Q1 ENVIRONMENTAL SCIENCES

Remote Sensing of Environment Pub Date : 2025-09-20 DOI:10.1016/j.rse.2025.115032

Tingyu Gu , Min Wu , Shuo He , Zhaoru Zhang , Musheng Lan , Jianfeng He , Chengfeng Le

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引用次数: 0

Abstract

The Arctic Ocean constitutes a globally significant carbon sink, where carbon sequestration is predominantly mediated by the biological carbon pump (BCP). Quantifying BCP magnitude and efficiency persists as a key challenge in marine carbon cycle research. Net community production (NCP) serves as a critical proxy for quantifying carbon export fluxes and assessing carbon sequestration efficacy. This study introduces the Nitrate-based Semi-Analytical Model (NSAM), an innovative framework advancing Arctic NCP quantification through synergistic integration of satellite-based observations, biogeochemical model and hydrodynamic processes. By integrating seasonal nitrate budgets derived from satellite-based observations and reanalysis data using a machine learning algorithm, the NCP is computed by applying Redfield stoichiometry (C: N = 6.6) to convert seasonal nitrogen changes into carbon export estimates. Results demonstrate strong agreement between satellite-derived NCP and in situ measurements (RMSD = 9.52 mmol C m⁻² d⁻¹), underscoring the utility of NSAM for quantifying the Arctic BCP. Satellite-based NCP provides unprecedented pan-Arctic spatial coverage, overcoming the limitations of ship-based methods constrained to discrete cruise tracks. This advancement enables refined assessments of the Arctic Ocean's contribution to global carbon sequestration dynamics.

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利用半解析算法估算基于卫星观测的北冰洋生物碳泵

北冰洋是全球重要的碳汇，其碳固存主要由生物碳泵（BCP）介导。量化BCP的大小和效率一直是海洋碳循环研究的关键挑战。净群落产量（NCP）是量化碳输出通量和评估碳固存效果的重要指标。本研究介绍了基于硝酸盐的半分析模型（NSAM），这是一个创新的框架，通过卫星观测、生物地球化学模型和水动力过程的协同整合，推进了北极NCP的量化。通过使用机器学习算法整合基于卫星观测和再分析数据得出的季节硝酸盐预算，通过应用Redfield化学计量学（C: N = 6.6）将季节氮变化转换为碳出口估算，计算出NCP。结果表明，卫星衍生的NCP与原位测量结果非常一致（RMSD = 9.52 mmol C m - 2 d - 1），强调了NSAM在量化北极BCP方面的实用性。基于卫星的NCP提供了前所未有的泛北极空间覆盖，克服了基于船只的方法受限于离散巡航轨道的局限性。这一进展使我们能够精确地评估北冰洋对全球碳封存动态的贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Remote Sensing of Environment 环境科学-成像科学与照相技术

CiteScore

25.10

自引率

8.90%

发文量

455

审稿时长

53 days

期刊介绍： Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.