AERONET-OC LWN Uncertainties: Revisited

IF 1.9 4区地球科学 Q2 ENGINEERING, OCEAN

Journal of Atmospheric and Oceanic Technology Pub Date : 2023-04-01 DOI:10.1175/jtech-d-22-0061.1

I. Cazzaniga, G. Zibordi

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引用次数: 1

Abstract

The Ocean Color Component of the Aerosol Robotic Network (AERONET-OC) aims at supporting the assessment of satellite ocean color radiometric products with in situ reference data derived from automated above-water measurements. This study, applying metrology principles and taking advantage of recent technology and science advances, revisits the uncertainty estimates formerly provided for AERONET-OC normalized water-leaving radiances LWN. The new uncertainty values are quantified for a number of AERONET-OC sites located in marine regions representative of chlorophyll-a-dominated waters (i.e., Case 1) and a variety of optically complex waters. Results show uncertainties typically increasing with the optical complexity of water and wind speed. Relative and absolute uncertainty values are provided for the various sites together with contributions from each source of uncertainty affecting measurements. In view of supporting AERONET-OC data users, the study also suggests practical solutions to quantify uncertainties for LWN from its spectral values. Additionally, results from an evaluation of the temporal variability characterizing LWN at various AERONET-OC sites are presented to address the impact of temporal mismatches between in situ and satellite data in matchup analysis.

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AERONET-OC LWN的不确定性：再谈

气溶胶机器人网络（AERONET-OC）的海洋颜色组件旨在支持使用来自自动水上测量的现场参考数据评估卫星海洋颜色辐射产品。本研究应用计量学原理，利用最新的技术和科学进步，重新审视了以前为AERONET-OC归一化水离开弧度LWN提供的不确定性估计。新的不确定度值是针对位于代表叶绿素为主水域（即情况1）和各种光学复杂水域的海洋区域的一些AERONET-OC站点进行量化的。结果表明，不确定性通常随着水和风速的光学复杂性而增加。提供了各个站点的相对和绝对不确定度值，以及影响测量的每个不确定度来源的贡献。为了支持AERONET-OC数据用户，该研究还提出了从光谱值量化LWN不确定性的实用解决方案。此外，还介绍了对不同AERONET-OC站点LWN特征时间变异性的评估结果，以解决匹配分析中原位数据和卫星数据之间时间不匹配的影响。

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

Journal of Atmospheric and Oceanic Technology 地学-工程：大洋

CiteScore

4.50

自引率

9.10%

发文量

135

审稿时长

3 months

期刊介绍： The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.