Scholarlink

<p>This study presents a space–time continuous,&#xa0;a near-real-time dataset of daily analyzed chlorophyll fields for the global oceans, utilizing the recently launched Ocean Color Monitor-3 (OCM-3) onboard the EOS-06 satellite. The datasets are generated using a Particle Filter-based synergistic approach that combines satellite-derived chlorophyll observations, which are often obscured by clouds, with simulated fields from a state-of-the-art coupled physical-biogeochemical model. This technique employs an ensemble of 250 particles representing the probability distribution function, using bootstrapping sampling by introducing random biases to the model chlorophyll (background) fields. Higher weight is assigned to particles that are closer to satellite observations of chlorophyll, and these particles are used to generate analyzed chlorophyll fields. Validation of the analyzed chlorophyll fields is conducted against independent observations from satellites and Bio-Argo buoys for the period of September to November 2023. When compared with in situ chlorophyll measurements from Bio-Argo floats, the errors observed are lower in the analyzed chlorophyll (0.53&#xa0;mg/m<sup>3</sup>) compared to the merged chlorophyll data (0.97&#xa0;mg/m<sup>3</sup>). The findings from the study indicate the efficacy of OCM-3 data in generating analyzed chlorophyll fields.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Daily Analyzed Fields of Ocean Surface Chlorophyll for the Global Ocean: Integrating OCM-3 Chlorophyll Data with Coupled Physical-Biogeochemical Model Using Particle Filter Approach

  • 期刊论文

  • 发表日期：

    2025年6月26日

查看全文
  • Smitha Ratheesh,
  • M. Jishad,
  • Neeraj Agarwal,
  • Shivani Shah,
  • Ruchi Modi,
  • Ghansham Sangar,
  • Tushar Shukla,
  • Rashmi Sharma

摘要

This study presents a space–time continuous, a near-real-time dataset of daily analyzed chlorophyll fields for the global oceans, utilizing the recently launched Ocean Color Monitor-3 (OCM-3) onboard the EOS-06 satellite. The datasets are generated using a Particle Filter-based synergistic approach that combines satellite-derived chlorophyll observations, which are often obscured by clouds, with simulated fields from a state-of-the-art coupled physical-biogeochemical model. This technique employs an ensemble of 250 particles representing the probability distribution function, using bootstrapping sampling by introducing random biases to the model chlorophyll (background) fields. Higher weight is assigned to particles that are closer to satellite observations of chlorophyll, and these particles are used to generate analyzed chlorophyll fields. Validation of the analyzed chlorophyll fields is conducted against independent observations from satellites and Bio-Argo buoys for the period of September to November 2023. When compared with in situ chlorophyll measurements from Bio-Argo floats, the errors observed are lower in the analyzed chlorophyll (0.53 mg/m3) compared to the merged chlorophyll data (0.97 mg/m3). The findings from the study indicate the efficacy of OCM-3 data in generating analyzed chlorophyll fields.