Radiative transfer modeling with BGC-Argo float data in the Mediterranean Sea

Elena Terzić, Arnau Miró, P. Lazzari, E. Organelli, F. D’Ortenzio
{"title":"Radiative transfer modeling with BGC-Argo float data in the\nMediterranean Sea","authors":"Elena Terzić, Arnau Miró, P. Lazzari, E. Organelli, F. D’Ortenzio","doi":"10.5194/BG-2020-473","DOIUrl":null,"url":null,"abstract":"Abstract. A radiative transfer model was parameterized and validated using Biogeochemical Argo float data acquired between 2012 and 2017 across the Mediterranean Sea. Fluorescence-derived chlorophyll a concentration, particle backscattering at 700 nm and fluorescence of colored dissolved organic matter were used to parametrize the light absorption and scattering coefficients of the optically significant water constituents (pure water, non-algal particles, colored dissolved organic matter and phytoplankton). The model was validated with in-situ downwelling irradiance profiles and irradiance-derived apparent optical properties from satellite data, such as the diffuse attenuation coefficients and remote sensing reflectance. To the authors' knowledge, this is the first time that a three-platform comparison of such kind is performed between model, floats and satellites. Results showed that by using regional parameterizations that are not only related to chlorophyll concentration and vertical distribution, the model was able to capture a more accurate spectral response in the examined wavelength range compared to chlorophyll-related (or Case 1) optical models. When using alternative models that incorporated also measurements of colored dissolved organic matter fluorescence or particulate optical backscattering, the model skill increased at all examined wavelengths. A series of upgrades, such as the inclusion of temperature and salinity data for the modification of the pure water absorption spectra, a refined pure water absorption model, as well as the correction of regional algorithms that had overestimated the pure water contribution in the blue, all contributed to improve the model performance. Finally, using a multi-spectral optical configuration enabled to estimate also the relative contribution of separate water constituents in the examined spectral range. Simulations including non-algal particles and colored dissolved organic matter performed up to 60 % and 76 % better than when considering the optical properties of pure seawater alone. Moreover, a simulation including phytoplankton absorption resulted in an error reduction of up to 43 %, especially at 412 nm and with a more uniform response at the wavelengths considered. Such studies can therefore also tackle the bio-optically anomalous nature of the Mediterranean Sea, and show that non-chlorophyll-related constituents (i.e. non-algal particles and colored dissolved organic matter) can substantially modulate the underwater light field in the blue.","PeriodicalId":89897,"journal":{"name":"Biogeosciences discussions : (BGD)","volume":"1 1","pages":"1-30"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biogeosciences discussions : (BGD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5194/BG-2020-473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Abstract. A radiative transfer model was parameterized and validated using Biogeochemical Argo float data acquired between 2012 and 2017 across the Mediterranean Sea. Fluorescence-derived chlorophyll a concentration, particle backscattering at 700 nm and fluorescence of colored dissolved organic matter were used to parametrize the light absorption and scattering coefficients of the optically significant water constituents (pure water, non-algal particles, colored dissolved organic matter and phytoplankton). The model was validated with in-situ downwelling irradiance profiles and irradiance-derived apparent optical properties from satellite data, such as the diffuse attenuation coefficients and remote sensing reflectance. To the authors' knowledge, this is the first time that a three-platform comparison of such kind is performed between model, floats and satellites. Results showed that by using regional parameterizations that are not only related to chlorophyll concentration and vertical distribution, the model was able to capture a more accurate spectral response in the examined wavelength range compared to chlorophyll-related (or Case 1) optical models. When using alternative models that incorporated also measurements of colored dissolved organic matter fluorescence or particulate optical backscattering, the model skill increased at all examined wavelengths. A series of upgrades, such as the inclusion of temperature and salinity data for the modification of the pure water absorption spectra, a refined pure water absorption model, as well as the correction of regional algorithms that had overestimated the pure water contribution in the blue, all contributed to improve the model performance. Finally, using a multi-spectral optical configuration enabled to estimate also the relative contribution of separate water constituents in the examined spectral range. Simulations including non-algal particles and colored dissolved organic matter performed up to 60 % and 76 % better than when considering the optical properties of pure seawater alone. Moreover, a simulation including phytoplankton absorption resulted in an error reduction of up to 43 %, especially at 412 nm and with a more uniform response at the wavelengths considered. Such studies can therefore also tackle the bio-optically anomalous nature of the Mediterranean Sea, and show that non-chlorophyll-related constituents (i.e. non-algal particles and colored dissolved organic matter) can substantially modulate the underwater light field in the blue.
地中海BGC-Argo浮子数据的辐射传输模拟
摘要使用2012年至2017年间获得的地中海生物地球化学Argo漂浮数据,对辐射传输模型进行了参数化和验证。荧光衍生叶绿素a浓度,700时粒子反向散射 nm和有色溶解有机物的荧光用于参数化光学上重要的水成分(纯水、非藻类颗粒、有色溶解有机物质和浮游植物)的光吸收和散射系数。该模型通过卫星数据中的现场下流辐照度剖面和辐照度导出的表观光学特性(如散射衰减系数和遥感反射率)进行了验证。据作者所知,这是首次在模型、漂浮物和卫星之间进行此类三平台比较。结果表明,通过使用不仅与叶绿素浓度和垂直分布相关的区域参数化,与叶绿素相关(或情况1)光学模型相比,该模型能够在所检查的波长范围内捕捉到更准确的光谱响应。当使用包含有色溶解有机物荧光或颗粒光学反向散射测量的替代模型时,在所有检查波长下,模型技能都有所提高。一系列的升级,如包括用于修改纯水吸收光谱的温度和盐度数据、改进的纯水吸收模型,以及对高估了蓝色纯水贡献的区域算法的校正,都有助于提高模型性能。最后,使用多光谱光学配置也能够估计在所检查的光谱范围内单独的水成分的相对贡献。包括非藻类颗粒和有色溶解有机物在内的模拟进行了多达60次 % 和76 % 比单独考虑纯海水的光学特性时更好。此外,包括浮游植物吸收在内的模拟结果使误差减少了43 %, 尤其是在412 nm,并且在所考虑的波长下具有更均匀的响应。因此,这些研究还可以解决地中海的生物光学异常性质,并表明与叶绿素无关的成分(即非藻类颗粒和有色溶解有机物)可以在很大程度上调制蓝色的水下光场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书