Paper Push: 2026-06-13
Back to date list
每日论文推送：BGC-Argo、海色/海洋光学、海洋热浪与碳泵Daily Paper Push: BGC-Argo, ocean colour/ocean optics, marine heatwaves and carbon pump
本期由 GitHub Actions 自动检索生成：Nature/Science 系列优先，其次是用户指定重点期刊，再补充重点关注团队的新论文，最后纳入其他相关期刊；历史去重后保留 7 篇，不超过每日 50 篇上限。 This issue was generated automatically by GitHub Actions: Nature and Science series first, then the user-defined priority journals, then new papers from the focused team, followed by other relevant journals as topical supplements. After deduplication, 7 papers remain, below the daily limit of 50.
Download Word summary
无 mechanism sketch 图。今天的意大利语卡片： No mechanism sketch figure today. Daily Italian card:
每日一句意大利语Daily Italian
Libertà va cercando, ch'è sì cara.
Dante, Commedia, Purgatorio I, 71; Italian original from Kalliope
这句说“他正在寻找自由，而自由如此珍贵”。在《炼狱篇》开端，它把自由写成重新上升和净化的核心目标。
The line says that the traveller is seeking freedom, and that freedom is precious. At the opening of Purgatorio, it frames ascent as a search for liberation.
趋势总结Trend Summary
本期重点关注 BGC-Argo、海色遥感/海洋光学、海洋热浪、浮游植物垂向结构和碳泵过程。筛选逻辑不再只限于重点期刊；当高影响力期刊当天新增较少时，会额外检索重点关注团队作者的新论文，并用海洋、海色/光学和碳循环关键词过滤，再从其他相关期刊补充候选论文。
This issue focuses on BGC-Argo, ocean-colour remote sensing, ocean optics, marine heatwaves, vertical phytoplankton structure and carbon-pump processes. The selection is no longer limited to priority journals; when few high-impact papers are newly available, the workflow also checks focused-team authors and filters those papers with ocean, ocean-colour/optics, and carbon-cycle keywords before adding other relevant journals as supplements.
重点期刊：按影响力和相关性排序Key journals: ordered by impact and relevance
1. A Quality-Control Procedure for Bio-Optical Applications of Hyperspectral Radiometric Upwelling Radiance and Downwelling Irradiance Profiles Measured by BioGeoChemical-Argo Floats.
作者Authors: Lou Andrès; Charlotte Begouen Demeaux; Emanuele Organelli; Giovanni La Forgia; Nils Haëntjens; Vincenzo Vellucci; Edouard Leymarie; Catherine Schmechtig; et al.
发表月份Publication month: 2026-06 2026-06
Journal of Atmospheric and Oceanic Technology · DOI: 10.1175/jtech-d-25-0104.1
关键词Tags: BGC-Argo; ocean colour; ocean optics; bio-optics; vertical structure BGC-Argo; ocean colour; ocean optics; bio-optics; vertical structure
摘要：自主原位辐射观测越来越多地用于约束生物光学过程并验证卫星海洋颜色产品，例如遥感反射率和漫衰减系数。由于这些观测数据的收集与天气和海况条件无关，因此它们的应用关键取决于强大的质量控制。从 2012 年开始，BioGeoChemical-Argo (BGC-Argo) 计划在自主浮标上测量了三个波长的下降流辐照度 (Ed)。自 2022 年以来，由 12 个 BGC-Argo 浮标组成的试点阵列配备了测量 E d 和上升流辐射率 (L u ) 的 TriOS-RAMSES 高光谱辐射计，已部署在具有不同生物光学特性的公海区域。迄今为止，这些浮标已在当地中午附近每隔约 10 天获取了数百个 0-300 m 的高光谱剖面。本研究提出了一种由 BGC-Argo 浮标测量的高光谱 E d 和 Lu 剖面的自动质量控制 (QC) 方法，该方法建立在以前为多光谱辐射测量设计的 QC 程序的基础上。该方法标记由自阴影、大倾斜角、经过的云、波聚焦、尖峰引起的光场扰动，并校正暗电流信号。首先在五个关键波长（380、443、490、555 和 620 nm）上应用 QC，以沿每个垂直剖面生成特定于波长的标志，然后将其组合到每个光谱剖面的最终全局分类中，即“良好”、“可疑”或“不良”。本文及其 Python 代码和数据文件为社区提供了一种强大且计算高效的方法来评估高光谱 BGC-Argo 数据质量，为其进一步的生物光学应用做好准备。
Abstract: Autonomous in-situ radiometric observations are increasingly used to constrain bio-optical processes and validate satellite ocean-color products, such as remote sensing reflectance and diffuse attenuation coefficients. Because these observations are collected independently of weather and sea-state conditions, their application critically depends on robust quality control. Starting in 2012, the BioGeoChemical-Argo (BGC-Argo) program has measured downwelling irradiance (Ed) at three wavelengths on autonomous floats. Since 2022, a pilot array of 12 BGC-Argo floats equipped with TriOS-RAMSES hyperspectral radiometers measuring E d and upwelling radiance (L u ) has been deployed across open-ocean regions with diverse bio-optical properties. To date, these floats have acquired hundreds of hyperspectral profiles from 0–300 m at ∼10-day intervals near local noon. This study presents an automated Quality Control (QC) method for hyperspectral E d and L u profiles measured by BGC-Argo floats, building upon previous QC procedures designed for multispectral radiometry. The method flags perturbations in the light field caused by self-shading, large tilt angles, passing clouds, wave focusing, spikes, and corrects for dark current signals. The QC is first applied at five key wavelengths (380, 443, 490, 555, and 620 nm) to generate wavelength-specific flags along each vertical profile, which are then combined into a final global classification for each spectral profile as Good , Questionable , or Bad . This paper, along with its Python code and data files, provides the community with a robust and computationally efficient approach for assessing hyperspectral BGC-Argo data quality, preparing it for further bio-optical applications.
重点关注团队Focused team
2. Atmospheric Nitrogen-Containing Organic Aerosols in Wintertime Sichuan Basin of China: A Key Role of Aqueous-Phase Process in Secondary Production and Optical Absorption
作者Authors: Luyao Chen; Rongjie Li; Binyu Xiao; Zheng Li; Rui Li; Kaitao Chen; Rui Li; Junke Zhang; et al.
发表月份Publication month: 2026-06 2026-06
Environmental Science & Technology · DOI: 10.1021/acs.est.6c05422
关键词Tags: absorption; bio-optics absorption; bio-optics
摘要：Crossref 未提供该 DOI 的摘要。
Abstract: Crossref did not provide an abstract for this DOI.
3. The Ocean–Gut–Skin (OGS) Cohort: Baseline Characteristics and Study Protocol for a Prospective Investigation of Marine Environmental Exposure and Dermatological Health in Coastal China
作者Authors: Bo Wan; Weili Yang; Qin Fang; Junxi Mo; Ke You; An He; Yun Zhou; Xiaoliang Li
发表月份Publication month: 2026-06 2026-06
Public Health and Environment · DOI: 10.70737/r9j45797
关键词Tags: microbial carbon microbial carbon
摘要：牛皮癣是一种慢性、免疫介导的炎症性皮肤病，其病因复杂，涉及遗传易感性和环境触发因素。越来越多的证据表明，肠道微生物组在调节系统免疫和皮肤稳态方面发挥着关键作用，这种关系被“肠-皮肤轴”所概括。然而，环境微生物暴露，特别是来自独特海洋生态系统的微生物暴露对该轴的潜在影响仍有待探索。我们假设，职业或居住地暴露于海洋环境会影响人体微生物组（皮肤和肠道），进而调节牛皮癣的风险和严重程度。本文介绍了海洋-肠-皮肤（OGS）队列研究的研究方案和基线特征，这是中国第一个致力于研究与海洋相关的皮肤病的前瞻性队列。 OGS队列研究于2023年1月在中国南方主要沿海城市珠海启动。目标人群包括 10,000 名 30-70 岁的成年人，分为高和低海洋暴露组。参与者接受全面的健康检查，包括皮肤病学评估（银屑病面积和严重程度指数 [PASI]、湿疹面积和严重程度指数 [EASI]、皮肤病生活质量指数 [DLQI] 和经皮失水量 [TEWL]）、收集粪便和皮肤拭子样本进行 16S rRNA 基因测序和鸟枪法宏基因组学、采血进行生物标志物分析，以及收集人口统计、生活方式、饮食、医疗情况的详细调查问卷历史和海洋暴露指标。参与者将在前 2 年每两年进行一次随访，此后每年进行一次，总共 5 年。 基线招募于 2025 年 12 月完成，五个研究阶段共招募了 10,245 名参与者。本文报告了该队列的基线人口统计学和临床特征。特应性皮炎 (AD) 2 年。该队列由 2512 名银屑病患者、2488 名 AD 患者和 2500 名健康对照组成，在基线时收集了全面的多组学数据。 OGS 队列研究具有独特的定位来质疑新颖的“海洋-肠道-皮肤”轴。通过将深度临床表型分析与多组学微生物组分析和严格的环境暴露评估相结合，该队列将产生强有力的证据，证明海洋环境如何通过调节人类微生物组间接影响皮肤健康。
Abstract: Psoriasis is a chronic, immune-mediated inflammatory skin disease with a complex etiology involving both genetic susceptibility and environmental triggers. Accumulating evidence points to a critical role for the gut microbiome in modulating systemic immunity and cutaneous homeostasis—a relationship encapsulated by the "gut–skin axis". However, the potential influence of environmental microbial exposures, particularly those originating from distinctive marine ecosystems, on this axis remains unexplored. We hypothesized that occupational or residential exposure to the marine environment shapes the human microbiome (both cutaneous and intestinal), which in turn modulates the risk and severity of psoriasis. This article presents the study protocol and baseline characteristics of the Ocean–Gut–Skin (OGS) Cohort Study, the first prospective cohort in China dedicated to investigating marine-associated dermatological disorders. The OGS Cohort Study was initiated in January 2023 in Zhuhai, a major coastal city in southern China. The target population comprises 10,000 adults aged 30–70 years, stratified into high and low marine exposure groups. Participants undergo comprehensive health examinations, including dermatological assessment (Psoriasis Area and Severity Index [PASI], Eczema Area and Severity Index [EASI], Dermatology Life Quality Index [DLQI], and transepidermal water loss [TEWL]), collection of stool and skin swab samples for 16S rRNA gene sequencing and shotgun metagenomics, blood sampling for biomarker profiling, and a detailed questionnaire capturing demographic, lifestyle, dietary, medical history, and marine exposure metrics. Participants will be followed biennially for the first 2 years and annually thereafter for a total of 5 years. Baseline recruitment was completed in December 2025, yielding a cohort of 10,245 participants across five study phases. This paper reports the baseline demographic and clinical characteristics of the cohort. The mean disease duration was 8.5 years for psoriasis and 6.2 years for atopic dermatitis (AD). The cohort comprises 2512 psoriasis patients, 2488 AD patients, and 2500 healthy controls, with comprehensive multi-omics data collected at baseline. Follow-up is ongoing. The OGS Cohort Study is uniquely positioned to interrogate the novel "Ocean–Gut–Skin" axis. By integrating deep clinical phenotyping with multi-omics microbiome analyses and rigorous environmental exposure assessment, this cohort will generate robust evidence on how the marine environment may indirectly influence cutaneous health through modulation of the human microbiome.
4. Cross-dataset benchmarking of machine learning models for marine and atmospheric environmental prediction
作者Authors: Xuehua Zhou; Hanming Zhang; Tiantian Du; Quanbo Yuan; Huijuan Wang
发表月份Publication month: 2026-06 2026-06
PLOS One · DOI: 10.1371/journal.pone.0351325
关键词Tags: phytoplankton phytoplankton
摘要：海洋和大气环境变量的准确预测对于气候适应、生态系统管理和运营决策非常重要，但从业者仍然缺乏关于哪些机器学习模型在异构环境任务中可靠的明确指导。因此，我们针对九个数据集制定了统一的泄漏感知基准，其中七个数据集通过了建模质量检查，涵盖叶绿素-a、风速、水文观测、生物毒素和测深，并在通用评估框架下比较了代表性的线性模型、基于树的模型和序列模型。结果显示任务和模型类别之间存在很强的异质性：树集成是表格问题的稳健基线，当时间结构为中心时，基于 LSTM 的循环序列建模最有用，预测技能更多地依赖于目标结构和协变量质量，而不是仅仅依赖于模型复杂性。在该基准所代表的观测环境中（主要是中国沿海/河口和区域海洋数据集，加上一项大气再分析风任务和一项全球铸件档案），质量控制的叶绿素-a 相对可预测，而事件驱动的生物毒素和测深反演在当前预测因素下仍然很困难。这些发现为在类似数据体系中工作的研究人员和环境监测从业人员提供了实用指导，但不应假设它们会在未经进一步验证的情况下自动转移到未经测试的地区，例如北大西洋、地中海或热带公海系统。
Abstract: Accurate prediction of marine and atmospheric environmental variables is important for climate adaptation, ecosystem management, and operational decision-making, yet practitioners still lack clear guidance on which machine-learning models are reliable across heterogeneous environmental tasks. We therefore developed a unified, leakage-aware benchmark across nine datasets, of which seven passed quality checks for modeling, spanning chlorophyll-a, wind speed, hydrographic observations, biotoxins, and bathymetry, and compared representative linear, tree-based, and sequence models under a common evaluation framework. Results show strong heterogeneity across tasks and model classes: tree ensembles are robust baselines for tabular problems, LSTM-based recurrent sequence modeling is most useful when temporal structure is central, and predictive skill depends more on target structure and covariate quality than on model complexity alone. Within the observational settings represented in this benchmark—predominantly Chinese coastal/estuarine and regional marine datasets, plus one atmospheric reanalysis wind task and one global cast archive—quality-controlled chlorophyll-a is comparatively predictable, whereas event-driven biotoxins and bathymetry inversion remain difficult under the current predictors. These findings provide practical guidance for researchers and environmental monitoring practitioners working in similar data regimes, but they should not be assumed to transfer automatically to untested regions such as the North Atlantic, the Mediterranean, or tropical open-ocean systems without further validation.
5. ZJU–SCATT–V1.0: A Comprehensive Single–Scattering Database of Non–spherical Aerosol and Cloud Particles
作者Authors: Lei Bi; Senyi Kong; Yue Xi; Xuan Wang; Wushao Lin; Zhenhong Du; Wei Han; Xiaoye Zhang
发表月份Publication month: 2026-06 2026-06
Bulletin of the American Meteorological Society · DOI: 10.1175/bams-d-25-0258.1
关键词Tags: ocean colour ocean colour
摘要：0 数据库，非球形和不均匀气溶胶和冰颗粒的单散射特性的综合汇编。该数据库满足了社区在遥感算法、辐射传输模型、数据同化系统和气候预测中改进大气颗粒（特别是气溶胶和冰晶）表示的关键需求。 0 通过采用先进的计算电磁方法（例如不变嵌入 T 矩阵方法和基于超球体几何形状的复杂粒子模型）超越了传统的过度简化的近似。它涵盖主要气溶胶类型，包括灰尘、黑碳和海盐以及冰晶，覆盖 0. 3–20 μm 的宽光谱范围（冰晶延伸至 100 μm）。所有模型都经过实验室测量和/或遥感观测的严格验证，建立了 ZJU-SCATT-V1。 0作为粒子微观物理和宏观辐射影响之间的重要桥梁。为了最大限度地提高可访问性和实用性，数据库及其神经网络模拟器被集成到深时数字地球计划平台中。我们欢迎社区反馈来评估和改进 ZJU-SCATT-V1。
Abstract: We introduce the ZJU–SCATT–V1.0 database, a comprehensive compilation of single–scattering properties for non–spherical and inhomogeneous aerosol and ice particles. This database addresses a critical community need for improved representation of atmospheric particles, particularly aerosols and ice crystals, in remote sensing algorithms, radiative transfer models, data assimilation systems, and climate projections. ZJU–SCATT–V1.0 transcends traditional oversimplified approximations by employing advanced computational electromagnetic methods, such as the invariant imbedding T–matrix method, and sophisticated particle models based on super–spheroidal geometries. It encompasses major aerosol types including dust, black carbon, and sea salt, as well as ice crystals, covering a broad spectral range of 0.3–20 μm (extending to 100 μm for ice crystals). All models have been rigorously validated against laboratory measurements and/or remote sensing observations, establishing ZJU–SCATT–V1.0 as a vital bridge between particle microphysics and macroscopic radiative impacts. To maximize accessibility and utility, the database as well as its neural network emulator are integrated into the Deep–time Digital Earth Program platform. We welcome community feedback to evaluate and improve the ZJU–SCATT–V1.0 for diverse applications.
其他相关期刊：按主题相关性补充Other relevant journals: topical supplements
6. Spatiotemporal Patterns and Physical Drivers of Satellite-derived Chlorophyll-a in the Aegean Sea
作者Authors: Anthi Koutsaniti; Manos Potiris; Yannis Androulidakis; Vassilis Zervakis; Elina Tragou
发表月份Publication month: 2026-06 2026-06
Thalassas: An International Journal of Marine Sciences · DOI: 10.1007/s41208-026-01163-8
关键词Tags: phytoplankton phytoplankton
摘要：叶绿素-a 被广泛用作爱琴海浮游植物生物量和初级生产力的指标，对海洋生态系统功能具有直接影响。然而，其变异性与该地区物理驱动因素之间的联系仍然相对不足。本研究调查了1998年至2022年爱琴海海面叶绿素-a的年际变化和长期趋势及其与物理强迫机制（黑海海水流入、海面温度、混合层深度和风）的关系。大气和海洋强迫变量是通过再分析和卫星产品获得的。季节动态主导着叶绿素a的变异性，在冬季和早春深度混合下达到峰值，在夏季强烈分层时达到最低值。空间格局显示出明显的南北梯度，凸显了黑海水流入的影响。在流域尺度上没有检测到统计上显着的长期趋势，但是，在 2010 年之后的过去十年中观察到了统计上显着的负趋势。该分析将季节性和非季节性变化分开，将年内和年际波动与大规模物理过程和偶发性局部事件联系起来。黑海水流入量的变化反映在博斯普鲁斯海峡（黑海入口）和达达尼尔海峡（爱琴海出口）之间的海平面差异。流入量的变化与非季节性叶绿素波动直接相关，强调了水平水交换在爱琴海施肥和区域浮游植物动态中的作用。
Abstract: Chlorophyll-a is widely used as an indicator of phytoplankton biomass and primary productivity in the Aegean Sea, with direct implications for marine ecosystem functioning. However, the connection of its variability to physical drivers in the region remain relatively understudied. This study investigates the interannual variability and long-term trends of sea surface chlorophyll-a in the Aegean Sea over 1998–2022 and their relation to physical forcing mechanisms (Black Sea water inflow, sea surface temperature, mixed layer depth, and wind). Atmospheric and oceanic forcing variables were obtained from reanalysis and satellite products. Seasonal dynamics dominate chlorophyll-a variability, with peak values in winter–early spring under deep mixing and minima in summer when strong stratification prevails. Spatial patterns reveal a pronounced north–south gradient, highlighting the influence of the Black Sea Water inflow. No statistically significant long-term trend was detected at the basin scale, however, statistically significant negative trends were observed during the last decade, after 2010. The analysis separates seasonal and non-seasonal variability, linking intra- and interannual fluctuations to both large-scale physical processes and episodic local events. The variability of the Black Sea Water inflow is reflected in the sea level differences between Bosporus (Black Sea entrance) and Dardanelles (Aegean exit). The inflow variability is directly associated with non-seasonal chlorophyll fluctuations, emphasizing the role of horizontal water exchanges in the fertilization of the Aegean Sea and the regional phytoplankton dynamics.
7. Assessing wildfire spatial variability and hyperspectral data in debris-flow modeling
作者Authors: Samuel K. Z. Taylor; Susan Meerdink; Eric Tate
发表月份Publication month: 2026-06 2026-06
Landslides · DOI: 10.1007/s10346-026-02802-0
关键词Tags: ocean biogeochemistry ocean biogeochemistry
摘要：美国西部野火活动的增加和降雨量的增加增加了火灾后泥石流灾害（PFDF）。美国地质调查局 (USGS) 采用 M1 模型来评估 PFDF 可能性，以盆地平均差异归一化燃烧比 (dNBR) 作为主要输入。 Thomas Fire 报告称 81% 的盆地存在非正态 dNBR 分布，降低了该方法捕获燃烧异质性的能力。在这里，我们修改 M1 模型以纳入替代的 dNBR 指标（中值、峰值频率和第一个四分位数），以更好地反映燃烧分布。我们比较多光谱卫星和高光谱飞机衍生的 dNBR 指标，以评估 PFDF 预测中的传感器类型和优化的 dNBR 指数波长。我们以加利福尼亚州蒙特西托市为案例研究，针对 Thomas Fire PFDF 库存进行验证，将启动分类为超过定义阈值 (50%–90%) 的概率。第一个四分位数是 50% 阈值 (OA = 61. 33%) 时最有效的指标，其次是峰值频率、中位数和平均值。高光谱图像对植被健康更敏感，报告的 dNBR 和 PFDF 风险比多光谱数据更高，但由于烟雾限制了盆地覆盖范围，性能仍然相似。 M1 模型的结构限制了较高降雨强度下的性能，误报在 24-32 毫米/小时时急剧上升，这可能是由于乘法降雨项所致。第一个四分位数解决了这种乘法效应，不应被解释为烧伤异质性或 PFDF 启动条件的更好指标。未来的工作应该平衡 M1 模型中的降雨强度，纳入更具空间代表性的输入，并从单波段指数转向利用高光谱维度的方法。
Abstract: Rising wildfire activity and stronger rainfall in the western US have increased Post-Fire Debris Flow hazards (PFDF). The United States Geological Survey (USGS) employs the M1 model to evaluate PFDF likelihood, with basin-averaged differenced Normalized Burn Ratio (dNBR) as a primary input. The Thomas Fire reports non-normal dNBR distributions in 81% of basins, reducing the means’ capacity to capture burn heterogeneity. Here, we modify the M1 model to incorporate alternative dNBR metrics (median, peak frequency, and first quartile) that better reflect the burn distribution. We compare multispectral satellite and hyperspectral aircraft-derived dNBR metrics to assess sensor type and optimized dNBR index wavelengths in PFDF prediction. We validate against a Thomas Fire PFDF inventory, classifying initiation as probabilities exceeding defined thresholds (50%–90%), using Montecito, California, as a case study. The first quartile was the most effective metric at a 50% threshold (OA = 61.33%), followed by peak frequency, median, and mean. Hyperspectral imagery was more sensitive to vegetation health, reporting higher dNBR and PFDF risk than multispectral data, but performance remained similar because smoke limited basin coverage. The M1 model’s structure limits performance at higher rainfall intensities, where false positives sharply rise at 24–32 mm/hr, likely due to the multiplicative rainfall term. The first quartile addresses this multiplicative effect and should not be interpreted as a better indicator of burn heterogeneity or PFDF initiation conditions. Future work should balance rainfall intensity in the M1 model, incorporate more spatially representative inputs, and shift from single-band indices to methods leveraging hyperspectral dimensionality.
