Re-evaluating winter carbon sink in Southern Ocean by recovering MODIS-Aqua chlorophyll-a product at high solar zenith angles

IF 10.6 1区 地球科学 Q1 GEOGRAPHY, PHYSICAL
Ke Zhang , Zhaoru Zhang , Jianfeng He , Walker O. Smith , Na Liu , Chengfeng Le
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Abstract

Satellite ocean color observations are extensively utilized in global carbon sink evaluation. However, the valid coverage of chlorophyll-a concentration (Chla, mg m−3) measurements from these observations is severely limited during autumn and winter in high latitude oceans. The high solar zenith angle (SZA) stands as one of the primary contributors to the reduced quality of Chla products in the high-latitude Southern Ocean during these seasons. This study addresses this challenge by employing a random forest-based regression ensemble (RFRE) method to enhance the quality of Moderate Resolution Imaging Spectroradiometer (MODIS) Chla products affected by high SZA conditions. The RFRE model incorporates the color index (CI), band-ratio index (R), SZA, sensor zenith angle (senz), and Rayleigh-corrected reflectance at 869 nm (Rrc(869)) as predictors. The results indicate that the RFRE model significantly increased the MODIS observed Chla coverage (1.03 to 3.24 times) in high-latitude Southern Ocean regions to the quality of standard Chla products. By applying the recovered Chla to re-evaluate the carbon sink in South Ocean, results showed that the Southern Ocean’s ability to absorb carbon dioxide (CO2) in winter has been underestimated (5.9–18.6 Tg C year−1) in previous assessments. This study underscores the significance of improving the Chla products for a more accurate estimation of winter carbon sink in the Southern Ocean.

Abstract Image

通过恢复高天顶角的 MODIS-Aqua 叶绿素-a 产物重新评估南大洋冬季碳汇
卫星海洋颜色观测数据被广泛用于全球碳汇评估。然而,在高纬度海洋的秋冬季节,这些观测数据对叶绿素-a 浓度(Chla,毫克/立方米)测量的有效覆盖范围非常有限。高太阳天顶角(SZA)是造成这些季节高纬度南大洋 Chla 产品质量下降的主要原因之一。为了应对这一挑战,本研究采用了一种基于随机森林的回归集合(RFRE)方法,以提高受高 SZA 条件影响的中分辨率成像分光仪(MODIS)Chla 产品的质量。RFRE 模型将色彩指数 (CI)、带比指数 (R)、SZA、传感器天顶角 (senz) 和 869 nm 处的瑞利校正反射率 (Rrc(869)) 作为预测因子。结果表明,RFRE 模型显著提高了 MODIS 在南大洋高纬度地区观测到的 Chla 覆盖率(1.03 至 3.24 倍),达到了标准 Chla 产品的质量。通过应用恢复的 Chla 重新评估南大洋的碳汇,结果表明南大洋冬季吸收二氧化碳(CO2)的能力在以前的评估中被低估了(5.9-18.6 Tg C year-1)。这项研究强调了改进 Chla 产品以更准确地估计南大洋冬季碳汇的重要性。
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来源期刊
ISPRS Journal of Photogrammetry and Remote Sensing
ISPRS Journal of Photogrammetry and Remote Sensing 工程技术-成像科学与照相技术
CiteScore
21.00
自引率
6.30%
发文量
273
审稿时长
40 days
期刊介绍: The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive. P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields. In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.
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