Paper Push: 2026-06-12
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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 6 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, 6 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
A l'alta fantasia qui mancò possa.
Dante, Commedia, Paradiso XXXIII, 142; Italian original from Kalliope
这句说，在这里崇高的想象力也失去了力量。它承认语言和想象在终极经验前的限度。
Here the high imagination failed in power. The line acknowledges the limit of imagination before ultimate vision.
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.
Nature 系列Nature series
1. Detected impacts of atmospheric rivers on marine heatwaves
作者Authors: Suqiong Hu; Shineng Hu
发表月份Publication month: 2026-06 2026-06
Nature · DOI: 10.1038/s41467-026-74249-9
关键词Tags: marine heatwaves marine heatwaves
摘要：海洋热浪 (MHW) 是指海洋表面温度异常高的时期，可持续数周至数月并延伸数千公里。它们在气候变化下不断增加的频率和强度威胁着海洋生态系统和渔业，但控制它们发生和进化的物理过程仍然知之甚少。在这里，我们对卫星和再分析数据进行了分析，结果表明大气河流（AR）——浓缩大气水分的狭长走廊，通常被描述为“天空中的河流”——在北太平洋和北大西洋的MHW发展中发挥着以前被忽视的作用。在 AR 下，增加的云量通过减少太阳辐射使海洋变冷，而异常温暖、潮湿的空气通过减少来自海洋的湍流热通量使海洋变暖。这两种相反的机制占主导地位，随着背景气候状态的不同而变化，导致 AR 对 MHW 的影响出现季节性和区域性变化。这些发现强调了了解海洋-大气复合极端现象及其在气候变暖下的变化的重要性。
Abstract: Marine heatwaves (MHWs) are periods of unusually high sea surface temperature that can persist for weeks to months and extend across thousands of kilometers. Their increasing frequency and intensity under climate change threaten marine ecosystems and fisheries, yet the physical processes that govern their occurrence and evolution remain poorly understood. Here we analyze satellite and reanalysis data to show that atmospheric rivers (ARs)—long, narrow corridors of concentrated atmospheric moisture, often described as “rivers in the sky”—play a previously overlooked role in the development of MHWs in the North Pacific and North Atlantic. Under an AR, increased cloud cover cools the ocean through reduced solar radiation, while anomalously warm, humid air warms the ocean through the reduction of turbulent heat fluxes from the ocean. These two opposing mechanisms, dominant among others, vary with background climate state, causing seasonally and regionally varying ARs’ impacts on MHWs. These findings stress the importance of understanding ocean-atmosphere compound extremes and their changes under a warming climate.
重点期刊：按影响力和相关性排序Key journals: ordered by impact and relevance
2. Understanding the resilient carbon cycle response to the 2014–2015 Blob event in the Gulf of Alaska using a regional ocean biogeochemical model
作者Authors: Yumi Abe; Takamitsu Ito; Amanda H. V. Timmerman; Christopher T. Reinhard; Joseph P. Montoya
发表月份Publication month: 2026-06 2026-06
Biogeosciences · DOI: 10.5194/bg-23-3871-2026
关键词Tags: marine heatwaves; vertical structure marine heatwaves; vertical structure
摘要：海洋热浪（MHW）以异常高的海面温度为特征，其频率和强度不断增加，严重影响海洋环流、生物地球化学和海洋生态系统。在 2014-2015 年亚北极东北太平洋 MHW（通常称为 Blob）期间，帕帕海洋站（OSP；西经 145°，北纬 50°）的停泊观测显示，海洋 pCO2 适度下降，这与仅因变暖引起的溶解度降低而预期的增加相反。使用重现 OSP 观测到的 pCO2 变化和趋势的区域模型，我们发现这种下降是由于溶解无机碳 (DIC) 供应的减少超过了变暖驱动的 pCO2 的增加所致。 DIC 减少主要是由于与上层海洋层化增强相关的垂直输送减弱以及 Blob 出现之前埃克曼抽水减少引起的，这抑制了富含 DIC 的地下水的上涌。水平运输也为当地做出了贡献，特别是在 OSP。这些结果表明，异常的物理循环，而不是生物过程，是Blob期间二氧化碳吸收增加的主要驱动因素，并强调了在评估碳循环对极端变暖事件的响应时解决物理运输机制的重要性。
Abstract: Marine heatwaves (MHWs), characterized by anomalously high sea surface temperatures, are increasing in frequency and intensity and strongly impact ocean circulation, biogeochemistry, and marine ecosystems. During the 2014–2015 MHW (commonly called the Blob) in the NE subarctic Pacific, moored observations at Ocean Station Papa (OSP; 145° W, 50° N) showed a moderate decrease in oceanic pCO2, contrary to the increase expected from warming-induced solubility reduction alone. Using a regional model that reproduces the observed pCO2 variability and trend at OSP, we show that this decline resulted from a decrease in dissolved inorganic carbon (DIC) supply that outweighed the warming-driven increase in pCO2. The DIC reduction was primarily caused by weakened vertical transport associated with enhanced upper-ocean stratification and reduced Ekman pumping prior to the onset of the Blob, which suppressed the upwelling of DIC-rich subsurface waters. Horizontal transport also contributed locally, particularly at OSP. These results demonstrate that anomalous physical circulation, rather than biological processes, was the primary driver of the enhanced CO2 uptake during the Blob and highlight the importance of resolving physical transport mechanisms when assessing carbon cycle responses to extreme warming events.
3. Asymmetric Phytoplankton Responses to El Niño Diversity in the China Seas Mediated by the Western North Pacific Subtropical High
作者Authors: Jing Yang; Peng Chen; Siqi Zhang; Zhenhua Zhang; Delu Pan
发表月份Publication month: 2026-06 2026-06
Biogeosciences · DOI: 10.1029/2026jg009926
关键词Tags: carbon pump; phytoplankton carbon pump; phytoplankton
摘要：在全球变暖的背景下，中太平洋（CP）厄尔尼诺事件的发生频率不断增加，需要重新评估 ENSO 对海洋碳循环的影响。尽管对典型的东太平洋（EP）厄尔尼诺现象进行了深入研究，但厄尔尼诺现象多样性的生态印记在边缘海中仍然没有得到很好的解决。利用 25 年的卫星记录，我们揭示了中国海域浮游植物对 EP 型厄尔尼诺现象和 CP 型厄尔尼诺现象的不同反应。这种不对称性在整个地区并不均匀。 EP事件主要通过层化主导的途径抑制南海的初级生产力：较浅的冬季混合层限制了养分供应，随后夏季变暖和西北太平洋副热带高压（WNPSH）增强和西移驱动的分层，加剧了养分限制。相反，CP事件通过混合主导的途径促进浮游植物生长，特别是在黄海和东海：通过加深冬季混合层，丰富营养物质，然后通过向东北的WNPSH退缩，冷却地表水并削弱这些北部次流域的分层。这些发现表明，WNPSH 作为一个关键的“大气开关”，在相反的代谢状态之间切换生态系统。我们的研究强调了区分厄尔尼诺现象的必要性，以准确预测气候变暖时陆架海生产力和生物碳泵效率的轨迹。
Abstract: The increasing frequency of Central Pacific (CP) El Niño events under global warming necessitates a reassessment of ENSO's impact on marine carbon cycles. Although the canonical Eastern Pacific (EP) El Niño is well studied, the ecological imprint of El Niño diversity remains poorly resolved in marginal seas. Using a 25‐year satellite record, we reveal contrasting phytoplankton responses in the China Seas to EP and CP El Niño. This asymmetry is not uniform across the region. EP events suppress primary productivity primarily in the South China Sea via a stratification‐dominated pathway: a shallower winter mixed layer limits nutrient supply, followed by summer warming and stratification driven by a strengthened and westward‐displaced Western North Pacific Subtropical High (WNPSH), exacerbating nutrient limitation. Conversely, CP events promote phytoplankton growth, particularly in the Yellow Sea and East China Sea, via a mixing‐dominated pathway: by deepening the winter mixed layer, enriching nutrients, and subsequently through a northeastward WNPSH retreat that cools surface waters and weakens stratification in these northern sub‐basins. These findings reveal that the WNPSH acts as a critical “atmospheric switch,” toggling the ecosystem between opposing metabolic states. Our study highlights the necessity of distinguishing El Niño flavors to accurately predict the trajectory of shelf sea productivity and biological carbon pump efficiency in a warming climate.
4. The Unprecedented 2015/2016 Marine Heatwave off Java Coast, Southeastern Indian Ocean: Characteristics and Drivers
作者Authors: Bhushan Shirwadkar; Samiran Mandal; Arun Kumar
发表月份Publication month: 2026-06 2026-06
Deep Sea Research Part II: Topical Studies in Oceanography · DOI: 10.1016/j.dsr2.2026.105681
关键词Tags: marine heatwaves marine heatwaves
摘要：Crossref 未提供该 DOI 的摘要。
Abstract: Crossref did not provide an abstract for this DOI.
5. Evaluating Satellite and Model Sea Surface Salinity with In Situ Observation from an Autonomous Surface Vehicle
作者Authors: Vehicle Samuel M. Ayim; Leonie Jaeger; Lisa Gassen; Oliver Wurl
发表月份Publication month: 2026（月份未核准） 2026 (month not verified)
Remote Sensing · DOI: 10.1109/jstars.2026.3702896
关键词Tags: ocean biogeochemistry ocean biogeochemistry
摘要：Crossref 未提供该 DOI 的摘要。
Abstract: Crossref did not provide an abstract for this DOI.
重点关注团队Focused team
6. LCS-Net: a lightweight architecture for efficient coastal water segmentation
作者Authors: Mingjie Lv; Haibo Wang; Weiwei Yu; Yinjie Miao; Xinkun Song
发表月份Publication month: 2026-06 2026-06
Frontiers in Earth Science · DOI: 10.3389/feart.2026.1817534
关键词Tags: ocean colour ocean colour
摘要：在高分辨率遥感影像中，近岸水体通常呈现出曲折的岸线、破碎的湖岸海湾以及建筑物反射、植被阴影和混合基质等叠加的干扰，对水体边界的精细提取提出了重大挑战。虽然基于深度学习的语义分割大幅提高了水体识别精度，但现有方法大多侧重于全局上下文建模，而对边缘设备的计算效率关注不够；现有的轻量级模型还难以在复杂的近岸场景中平衡高精度和低功耗部署。针对这一差距，本文提出了LCS-Net，一种面向边缘部署的架构，通过现有高效组件的重组，建立了“冗余特征生成-动态特征过滤-旁路补偿”的系统级协作范式。该架构遵循 UNet 型编码器-解码器框架，通过级联具有深度可分离卷积的标准 Ghost 模块来构建轻量级主干，嵌入通道空间注意机制以抑制频谱混叠，并引入具有跳跃连接的双线性插值卷积上采样以恢复高频细节。实验结果表明，在自建无人机近岸水域数据集上，LCS-Net 实现了 95. 92% 的交并比 (IoU) 和 97. 24 GFLOPs，同时实现了高精度和高效率。应该指出的是，所报告的性能是在特定季节和传感器配置下获得的；该模型在更广泛的环境条件下的零样本泛化能力有待后续验证。
Abstract: In high-resolution remote sensing imagery, near-shore water bodies typically exhibit tortuous shorelines, fragmented lakeshore coves, and superimposed disturbances such as building reflections, vegetation shadows, and mixed substrates, posing significant challenges to the fine extraction of water boundaries. Although deep learning-based semantic segmentation has substantially improved water body recognition accuracy, most existing methods focus on global context modeling while paying insufficient attention to computational efficiency on edge devices; existing lightweight models also struggle to balance high precision with low-power deployment in complex near-shore scenarios. To address this gap, this paper proposes LCS-Net, an edge-deployment-oriented architecture that establishes a system-level collaborative paradigm of “redundant feature generation—dynamic feature filtering—bypass compensation” through the recombination of existing efficient components. Following a UNet-type encoder-decoder framework, the architecture constructs a lightweight backbone by cascading standard Ghost modules with depthwise separable convolutions, embeds channel-spatial attention mechanisms to suppress spectral aliasing, and introduces bilinear-interpolation-convolution upsampling with skip connections to restore high-frequency details. Experimental results demonstrate that on a self-built unmanned aerial vehicle near-shore water dataset, LCS-Net achieves 95.92% Intersection over Union (IoU) and 97.86% F1-score with merely 2.24 million parameters and 8.24 GFLOPs, simultaneously attaining high accuracy and efficiency. It should be noted that the reported performance was obtained under specific seasonal and sensor configurations; the model’s zero-shot generalization capability under broader environmental conditions awaits subsequent validation.
