Estimation of sea surface foam coverage and effective foam layer thickness from satellite microwave measurements

IF 12.3 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Remote Sensing of Environment Pub Date : 2026-03-01 Epub Date: 2025-12-11 DOI:10.1016/j.rse.2025.115176
Xuchen Jin , Xianqiang He , Palanisamy Shanmugam , Yan Bai , Jianyun Ying , Qiankun Zhu , Yaqi Zhao , Delu Pan
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引用次数: 0

Abstract

Sea surface foam commonly represents the accumulation of bubbles on the sea surface caused by breaking waves and plays a critical role in the air-sea interaction process and climate research. Both foam coverage and foam layer thickness have a profound effect on sea surface emissivity for moderate to high wind speeds due to the high emissivity of foam at microwave bands. However, there is a lack of models to estimate sea foam layer thickness due to the limited experimental data and constrained empirical formulations. To address this limitation, we propose a dual-channel (L- and Ka-bands) method that utilizes passive microwave satellite measurements to estimate sea surface foam coverage and effective foam layer thickness over the global ocean. This method uses microwave measurements from the Aquarius/SAC-D and Soil Moisture Active Passive (SMAP) missions, together with observations from the WindSat instrument, to convert the top-of-atmosphere (TOA) brightness temperature (TB) to sea surface TBs and then isolate the foam-induced emission component. Because sea surface emissivity is sensitive to foam distributions, a foam emissivity model was developed and implemented to derive the foam layer parameters (coverage and thickness) as functions of wind speed. The retrieved foam coverage shows strong agreement with independent observations, with root mean square differences (RMSDs) of 0.87 % against field measurements and 0.38 % against satellite data. In addition, the retrieved effective foam thickness also shows close consistency with hydrodynamic model expectations. The global distributions of foam coverage and effective layer thickness were further retrieved and analyzed in this study, which demonstrated high potential of the proposed models compared to the previous methods and suggested that the combined use of L- band and Ka-band measurements from a single platform could improve the accuracy of foam coverage and effective layer thickness over the global ocean.
卫星微波测量估算海面泡沫覆盖和有效泡沫层厚度
海面泡沫通常代表着破碎波浪在海面上造成的气泡积聚,在海气相互作用过程和气候研究中起着至关重要的作用。由于泡沫在微波波段的高发射率,因此泡沫覆盖面积和泡沫层厚度对中至高风速下的海面发射率都有深远的影响。然而,由于实验数据的限制和经验公式的约束,目前还缺乏估算海泡沫层厚度的模型。为了解决这一限制,我们提出了一种双通道(L和ka波段)方法,利用被动微波卫星测量来估计全球海洋的海面泡沫覆盖率和有效泡沫层厚度。该方法利用来自Aquarius/SAC-D和土壤湿度主动式被动(SMAP)任务的微波测量数据,以及来自WindSat仪器的观测数据,将大气顶(TOA)亮度温度(TB)转换为海面温度,然后分离泡沫诱发发射分量。由于海面发射率对泡沫分布很敏感,建立并实现了泡沫发射率模型,推导了泡沫层参数(覆盖面积和厚度)随风速的变化规律。回收的泡沫覆盖度与独立观测值非常吻合,与现场测量值的均方根差(rmsd)为0.87%,与卫星数据的均方根差(rmsd)为0.38%。此外,回收的有效泡沫厚度也显示出与水动力模型预期的密切一致性。本研究对全球泡沫覆盖率和有效层厚度的分布进行了进一步的反演和分析,结果表明,与以往的方法相比,所提出的模型具有很高的潜力,并表明在单一平台上联合使用L波段和ka波段测量可以提高全球海洋泡沫覆盖率和有效层厚度的精度。
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来源期刊
Remote Sensing of Environment
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.
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