Reports · GCRI · Established
Oceans and coasts · Climate and hazards · Biodiversity and nature
Reports 中的海洋与海岸
Oceans, coastal ecosystems and built shoreline resilience at the junction of science and development. This page shows the series it feeds, the evidence behind it and how to contribute.
- 系列
- 2
- 系统
- 3
- 方法
- 7
What this area brings to the editions.
Oceans, coastal ecosystems and built shoreline resilience at the junction of science and development.
Oceans and Coasts on the map.
交互式地图需要JavaScript；图层列表和来源见下文。
图层 3
本页当前的海况
关于本图层
关于本图层
- 证据
- 观测（云层和太阳耀斑造成缺口）
- 来源
- MODIS Aqua 海洋水色（NASA OB.DAAC）
- 提供方
- NASA OB.DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星反演；云层和太阳耀斑造成缺口
- 构建时的最新内容
- 2026-10-13
- 处理结果
- 约 1 公里网格
- 不确定性
- 所示日期海面附近叶绿素 a 的卫星估算值，是浮游生物和海洋生产力的指标；不衡量渔业资源或有害藻华。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测
- 来源
- GHRSST MUR（NASA JPL PO.DAAC）
- 提供方
- NASA JPL PO.DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星分析
- 构建时的最新内容
- 2026-10-12
- 处理结果
- 约 1 公里网格
- 不确定性
- 所示日期海表温度的补缺卫星分析；不是珊瑚礁或物种状况报告。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测
- 来源
- VIIRS NOAA-20 校正反射率（NASA LANCE）
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星图像
- 构建时的最新内容
- 2026-10-14
- 处理结果
- 约 250 米网格
- 不确定性
- 卫星图像。卫星或模型栅格数据，按提供方发布的原样呈现。云层、条带缺口和反演误差会造成缺口和噪声；数值是指标，而非某地的测量值。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 模型生成（GIBS 发布的最新年份）
- 来源
- MODIS Terra 和 Aqua 土地覆盖（MCD12Q1）（NASA LP DAAC）
- 提供方
- NASA LP DAAC
- 许可协议
- NASA 开放数据
- 年份版本
- 每年；卫星分类；GIBS 发布的最新年份
- 构建时的最新内容
- 2024-01-01
- 处理结果
- 约 500 米网格
- 不确定性
- 所示年份的卫星土地覆盖类别，含农田；该分类存在已知误差，并非农场登记册。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
关于本图层
- 证据
- 观测（云层造成缺口）
- 来源
- MODIS Terra EVI（NASA LANCE）
- 提供方
- NASA LANCE
- 许可协议
- NASA 开放数据
- 年份版本
- 每日；卫星指数；云层造成缺口
- 构建时的最新内容
- 2026-10-13
- 处理结果
- 约 250 米网格
- 不确定性
- 截至所示日期 8 天的卫星植被指数，是栖息地状况指标；不衡量物种或生物多样性。
- 经由以下途径到达
- gibs.earthdata.nasa.gov，仅在您允许实时地图后访问
键盘操作，地图获得焦点时
按住 Ctrl 或 ⌘ 并滚动以缩放
最新可用
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap贡献者 (ODbL) · Natural Earth
正在加载最新的NASA影像。
拖动以移动。按住 Ctrl 或 ⌘ 并滚动、双指缩放或使用按钮缩放；悬停可查看指针下的数值；重置可返回该区域。
海洋状态，以太平洋岛国为取景。NASA 发布的卫星和模型产品，各带自己的日期。它们是指标，而非对任何地点的评估。
数据：NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap 贡献者 · Natural Earth · NASA EONET · NASA PACE OCI · NASA JPL OPERA DIST-ALERT
来源与许可
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
- GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
- MODIS Aqua ocean colour, NASA Ocean Biology Processing Group; distributed by the NASA Ocean Biology DAAC (OB.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
- VIIRS近实时产品（洪水、地表温度、积雪覆盖、校正反射率），NASA LANCE；影像来自NASA GIBS。颜色依据已发布的色图重绘；在显示处数值按H3单元取平均（已修改）。 NASA 开放数据
- MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA 开放数据
- ASTER GDEM 是 METI 和 NASA 的产品（ASTER Global Digital Elevation Model V003，NASA LP DAAC）；影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。引用格式：NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA 开放数据
- 使用 Natural Earth 制作。免费矢量和栅格地图数据，见 naturalearthdata.com。 公有领域
- © OpenStreetMap contributors (ODbL)，经由 NASA GIBS 提供（海岸线、边界、道路和地名）。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 ODbL
- Blue Marble，NASA Earth Observatory；影像经由 NASA GIBS 提供。颜色依据已发布的色表重绘；所示之处的数值已平均到 H3 单元中（有修改）。 NASA 开放数据
- 地球仪和平面地图上的背景信息：海岸线、边界、道路和地名来自 NASA GIBS 参考图层（OpenStreetMap 数据，ODbL，© OpenStreetMap contributors）；Blue Marble 影像可作为可选底图；3D 地形和高程读数来自 ASTER GDEM 高程色彩指数（5 m 至 200 m 分级，为便于辨识而作了夸张处理）。边界按已发布的样式绘制，不代表对任何领土的立场。
- 地球仪：MapLibre GL JS 6.9.1，BSD-3-Clause，© MapLibre贡献者。
- 实时事件：NASA Earth Observatory Natural Event Tracker（EONET）；事件仅供参考，并保留其原始来源链接。
- 实时：NASA EONET。事件仅供参考，不是主管机构的预警。
- Observed (EO): NASA PACE OCI. We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- 天气数据来自 Open-Meteo.com (https://open-meteo.com/), 依据 CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). 授权。
- 可选图层（图层列表中共 10 个来源：实时、预报、观测和背景）启用后会在地图上和此处显示其提供方署名；预报为模型输出，衍生指数为估计值。
图层与日期
- 海面温度距平：GHRSST MUR25，NASA JPL PO.DAAC · 2026年10月12日
- 海洋叶绿素 a 浓度：MODIS Aqua 海洋水色，NASA OB.DAAC · 2026年10月12日
- 海面温度：GHRSST MUR，NASA JPL PO.DAAC · 2026年10月12日
- 真彩色：VIIRS NOAA-20 校正反射率，NASA LANCE · 2026年10月13日
- 土地覆盖类型（IGBP），年度：MODIS Terra 和 Aqua 土地覆盖（MCD12Q1），NASA LP DAAC · 2024
- 增强型植被指数，滚动 8 天：MODIS Terra EVI，NASA LANCE · 2026年10月13日
9 findings of the drafted editions that bear on Oceans and Coasts.
Drawn from the Baseline Edition 2026 drafts through the 系统 this area reads. Each opens at its anchor in its edition, with its numbered sources.
- ARE阿拉伯联合酋长国Net greenhouse-gas emissions were 195.2 Mt CO₂e in 2022 including land use, 0.8% below 2019; energy gave 164.1 Mt, industrial processes 29.6 Mt and waste 5.6 Mt, and land use removed 6.6 Mt.REPORTED · COUNTRY-ARE-CLI-001
- ARG阿根廷The national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.REPORTED · COUNTRY-ARG-CLI-001
- AU非洲联盟In 2024, 32.4% of people used safely managed drinking water and 25.9% used safely managed sanitation; withdrawals were 3.4% of internal resources in 2022 on average.REPORTED · COUNTRY-AU-WAT-007
- AUS澳大利亚Greenhouse-gas emissions excluding land use were 591.5 Mt CO₂e in 2024, against 605.2 Mt in 2019 and 579.5 Mt in 2020.REPORTED · COUNTRY-AUS-CLI-001
- BRA巴西Gross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.REPORTED · COUNTRY-BRA-CLI-001
- CHE瑞士Greenhouse-gas emissions were 40.1 MtCO₂e in 2024, 27.3% below 1990 and 22.3% below when land use is included; transport emitted 13.4 MtCO₂e and international aviation and maritime a further 5.5 MtCO₂e outside the 2030 target.REPORTED · COUNTRY-CHE-CLI-001
- CHN中国The national mean temperature was 10.9 °C in 2025, 1.0 °C above the 1991 to 2020 normal and tied with 2024 as the highest since 1951; hot days averaged 16.5, the most since 1961.REPORTED · COUNTRY-CHN-CLI-001
- EU欧洲联盟Net domestic greenhouse-gas emissions were 40% below 1990 in 2024 and 3% below 2023; on the 2030 target basis the cut was 37%.REPORTED · COUNTRY-EU-CLI-001
- GS-02全球能源Energy-related CO2 emissions rose about 0.4% in 2025 to a record of more than 38 Gt.REPORTED · SECTOR-ENERGY-GLOBAL-CLI-004
From Foundry evidence to the series.
The evidence, step by step, from the 系统 this area reads to the series it feeds.
How Oceans and Coasts reaches 报告: what it reads, how it reads it, the sealed cut and the series it feeds.
| 步骤 | 发生的事项 | 来源 |
|---|---|---|
| 01 What it reads | Oceans and Coasts reads NXS-EOP（地球观测与数字孪生） 与 NXS-EWS（多重危害监测与预警）: governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Ocean and coastal science and Earth observation and remote sensing turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Global Sector Risk and Resilience and Observatory Signal, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Reports 中的海洋与海岸 (2026); Oceans and Coasts home (2026).
The series it feeds, and what backs each.
| 系列 | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| 全球部门风险与韧性 | The Global Risks Index（NXS-GRX） one sector’s structure, dependencies and concentration measures NXS-EOP observed change in the sector’s assets and their surroundings | 贸易、供应链与地缘经济 关键基础设施 and lifelines | Global Sector Risk and Resilience series home |
| 观测站信号 | NXS-OPS（仪器、传感器与校准） calibrated primary observations and their uncertainty budgets NXS-EWS whether an anomaly was forecast and how well NXS-EOP observational change products that corroborate a signal NXS-SIG spectrum and timing anomalies that affect dependent services | 地理空间分析、地球观测与 GeoAI 气候科学、变率与变化 用于风险情报和可持续发展的空间 系统, space weather and navigation | Observatory Signal series home |
The systems, methods and teaching behind it.
- NXS-EOPNXS-EOPNXS-EOPRooms: Acquisition, Change.
- NXS-EWSNXS-EWSNXS-EWSRooms: Forecast Verification, Warning Desk.
- NXS-GRXNXS-GRXNXS-GRXNXS-GRX
- STEM 方法STEM 公共资源海洋与海岸科学The canonical method page, with its limits.
- STEM 方法STEM 公共资源地球观测与遥感The canonical method page, with its limits.
- STEM 方法STEM 公共资源极值理论与尾部风险The canonical method page, with its limits.
- STEM 方法STEM 公共资源生态学与生物多样性科学The canonical method page, with its limits.
- STEM 方法STEM 公共资源地理信息系统The canonical method page, with its limits.
- STEM 方法STEM 公共资源地球与地球物理科学The canonical method page, with its limits.
- Academy disciplineRisk Academy海洋与海岸地球与环境科学学院
- Academy disciplineRisk Academy交通、港口与物流基础设施、能源与工业学院
- Academy disciplineRisk Academy污染与环境健康健康与社会学院
- 领域GCRI海洋与海岸The field across science, governance and finance.
- 领域GCRI气候与灾害The field across science, governance and finance.
- 领域GCRI生物多样性与自然The field across science, governance and finance.
Where the same subject is reported elsewhere.
- Counterpart · GRF报告Diplomacy NexusShared: Climate and hazards.
- Counterpart · GRF报告气候与自然治理Shared: Climate and hazards, Biodiversity and nature.
- Counterpart · GRA报告Insurance NexusShared: Climate and hazards.
- Counterpart · GRA报告Banking NexusShared: Climate and hazards.
- Counterpart · GRA报告Asset Management NexusShared: Climate and hazards, Biodiversity and nature.
- Counterpart · GRA报告再保险与巨灾Shared: Climate and hazards.
- Counterpart · GRA报告气候与自然金融风险Shared: Climate and hazards, Biodiversity and nature.
- Standards areaNexus Standards水文气象危害标准Hazards and disaster risk reduction. Parts NS-0, NS-3, NS-3b, NS-11.
- Standards areaNexus Standards世界气象组织与水文气象服务Early warning and anticipatory action. Parts NS-3, NS-9, NS-11.
- Standards areaNexus Standards水风险标准Water and food systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-9, NS-10, NS-11.
- Standards areaNexus Standards生物多样性与自然风险标准Climate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-5, NS-9, NS-11.
- Standards areaNexus Standards气候风险标准Climate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-9, NS-11, NS-14.
- Standards areaNexus Standards海洋与海岸风险标准Climate and Earth systems. Parts NS-0, NS-1, NS-3, NS-3b, NS-5, NS-9, NS-11.
Topic pages on Oceans and Coasts.
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Oceans and Coasts’s open record
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Around the reports at GCRI.
The sectors behind Oceans and Coasts.
A reading aid: the sectors the findings run through and how strongly they depend on each other.
背景
沿海风暴潮
红树林和沙丘可以吸收风暴潮；它们消失之处，港口、变电站和取水口就会首当其冲。
W · E · I · F · H · B
- 部门
- 5 共 6
- 关系
- 10 共 15
- 耦合
- 0.64 占总量份额
当前最强的关系
- 能源 → 基础设施 · 为交通和电信供电0.8
- 水 → 能源 · 冷却水与水电0.6
- 水 → 生物多样性 · 生态流量0.6
- 基础设施 → 水 · 管道、水坝和处理设施0.6
Bring what you know to the next edition.
Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.
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CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.