Reports · GCRI · Established

Data and compute · Energy

Reports 中的数据与算力

Data infrastructure, national computational capacity and advanced computing in service of public knowledge. This page shows the series it feeds, the evidence behind it and how to contribute.

系列
2
系统
3
方法
7
01In brief

What this area brings to the editions.

Data infrastructure, national computational capacity and advanced computing in service of public knowledge.

02领域

Data and Compute on the map.

交互式地图需要JavaScript;图层列表和来源见下文。

图层 3

本页当前的能源状况

关于本图层
证据
观测
来源
VIIRS Black Marble(VNP46A2)(NASA LAADS DAAC)
提供方
NASA LAADS DAAC
许可协议
NASA 开放数据
年份版本
每日;卫星辐射亮度,已校正月光和大气影响
构建时的最新内容
2026-10-12
处理结果
约 500 米网格
不确定性
所示日期的卫星夜间辐射亮度;灯光是用电和停电的替代指标,并非对供应或获得电力情况的测量。
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
估计值
来源
世界网格化人口 v4.11(NASA SEDAC(哥伦比亚大学 CIESIN))
提供方
NASA SEDAC(哥伦比亚大学 CIESIN)
许可协议
CC BY 4.0
年份版本
静态产品;基于人口普查的估算,静态(2020 年)
处理结果
约 1 公里网格
不确定性
基于人口普查的 2020 年每平方公里人口估算,作为风险暴露背景展示;不是受任何危害影响的人数。
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 发布的最新月份)
来源
MERRA-2(NASA GMAO / GES DISC)
提供方
NASA GMAO / GES DISC
许可协议
NASA 开放数据
年份版本
每月;再分析模型;GIBS 发布的最新月份
构建时的最新内容
2026-07-01
处理结果
约 2 公里网格
不确定性
再分析模型对陆地月平均入射太阳辐射的估算;是太阳能资源的指标,并非场址发电量评估。
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
VIIRS NOAA-20(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日;卫星反演;云层造成缺口
构建时的最新内容
2026-10-14
处理结果
约 1 公里网格
不确定性
所示日期地表的卫星皮肤温度,是制冷需求的指标;不是气温,也不是高温预警。
经由以下途径到达
gibs.earthdata.nasa.gov,仅在您允许实时地图后访问

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。

能源现状,以美国本土为取景。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/NOAA VIIRS · 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
  • VIIRS Black Marble 夜间灯光,NASA 戈达德太空飞行中心;由 NASA Level-1 and Atmosphere Archive and Distribution System(LAADS DAAC)分发;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
  • Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC)。采用CC BY 4.0许可。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)。 doi:10.7927/H49C6VHW. CC BY 4.0
  • MERRA-2 reanalysis, NASA Global Modeling and Assimilation Office; distributed by the NASA GES DISC; 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。
  • Observed (EO): NASA/NOAA VIIRS (Suomi NPP). 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).
  • 过去一年的每日气温(ERA5,经由 Open-Meteo):包含经修改的 Copernicus 气候变化服务 2026 年信息。
  • 过去一年的每日气温和日照(NASA POWER):这些数据来自 NASA 兰利研究中心(LaRC)POWER 项目,该项目由 NASA 地球科学/应用科学计划资助。
  • 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

  • 夜间灯光,每日:VIIRS Black Marble(VNP46A2),NASA LAADS DAAC · 2026年10月12日
  • 人口密度,2020 年:人口:哥伦比亚大学 CIESIN,世界网格化人口 v4.11(2018),NASA SEDAC, CC BY 4.0 · 静态
  • 陆地地表入射太阳辐射,月均值:MERRA-2,NASA GMAO / GES DISC · 2026年7月
  • 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
  • 白天地表温度:VIIRS NOAA-20,NASA LANCE · 2026年10月13日

03In the editions

9 findings of the drafted editions that bear on Data and Compute.

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.

  1. ARE阿拉伯联合酋长国Gas gave 68% of electricity generation in 2025, down from 97% in 2019, while nuclear reached 21% and solar 10%; total generation rose from 138 to 184 TWh.REPORTED · COUNTRY-ARE-ENE-003
  2. ARG阿根廷Low-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.REPORTED · COUNTRY-ARG-ENE-003
  3. AU非洲联盟In 2024, 55.1% of people in Sub-Saharan Africa had electricity, up from 46.4% in 2018; about 579 million had none (derived).REPORTED · COUNTRY-AU-ENE-002
  4. AUS澳大利亚Wind and solar supplied 33% of electricity in 2025; fossil fuels supplied 61% and coal 43%.REPORTED · COUNTRY-AUS-ENE-003
  5. BRA巴西Renewables supplied 86.8% of electricity in 2025. Hydropower fell 4.8% to 401.4 TWh while gas generation rose 22.7%, and wind and solar together supplied 26.4%.REPORTED · COUNTRY-BRA-ENE-005
  6. CHE瑞士In 2025 hydropower supplied 55.5% of domestic electricity generation, nuclear power 27.2% and photovoltaics 11.8%, and final electricity consumption was 57,970 GWh.REPORTED · COUNTRY-CHE-ENE-003
  7. CHN中国Coal supplied 54.8% of electricity in 2025 and 51.4% of total energy consumption, while wind and solar supplied 21.9% of electricity.REPORTED · COUNTRY-CHN-ENE-006
  8. EU欧洲联盟Renewables supplied 25.2% of gross final energy consumption in 2024, 17.3 points below the 42.5% target for 2030.REPORTED · COUNTRY-EU-ENE-003
  9. GS-02全球能源Global energy demand grew 1.3% (8 EJ) in 2025, down from 2% in 2024, and electricity demand grew nearly 3%, more than twice as fast.REPORTED · SECTOR-ENERGY-GLOBAL-ENE-001
04Evidence path

From Foundry evidence to the series.

The evidence, step by step, from the 系统 this area reads to the series it feeds.

How Data and Compute 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 readsData and Compute reads NXS-COR(算力、节点与运行时) and The Global Risks Index (NXS-GRX): governed sources with their releases, never a value without its source.
02 How it reads themHigh-performance, cloud and edge computing and Data engineering, interoperability and stewardship turn the evidence into findings, with assumptions and limits stated beside each value.
03 The cut is sealedEach 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 feedsThe cut feeds Exponential Technology and Strategic Systems, from the Baseline Edition 2026 into the quarterly series.
05 Who decidesDecisions 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 中的数据与算力 (2026); Data and Compute home (2026).

05系列

The series it feeds, and what backs each.

系列Foundry systems it draws onAcademy disciplinesSeries home
指数级技术NXS-NXQ(软件、模型与能力生命周期) the capability catalogue and fitness assessments of machine capabilities
NXS-LAB(研究、实验与模拟) benchmark comparisons and experiment records for fast-changing technologies
人工智能与机器学习
创新与前沿技术治理
量子技术
Exponential Technology series home
Strategic 系统NXS-GRX concentration and substitutability analysis of strategic supply
NXS-NET(网络拓扑与连续性) digital backbone dependencies and continuity plans
NXS-NSF(信任、授权与保证) the public-safe release decision that keeps sensitive detail out
关键矿产、采矿与采掘业
技术安全:两用、出口管制与算力治理
贸易、供应链与地缘经济
Strategic Systems series home
09贡献

Contribute on Data and Compute.

Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.

Contribution composer

Write a contribution the editor can act on.

Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.

Your email opens with the subject and a template already filled in for GW-GCRI.

  • 证据
  • 更正
  • 案例研究
  • Analysis or method
  • 同行评审
  • 转译
  • Profile input

Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.

10开放科学

Open science for Data and Compute.

How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.

Data and Compute’s open record

区域
数据与算力
Feeds
Exponential Technology, Strategic Systems
记录
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
链接
isSupplementTo the edition it informs; isNewVersionOf its earlier version
许可协议
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
账户
None needed to contribute; never a password

Find and follow

Search the open indexes for Data and Compute; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.

Mirrors and harvest

The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.

InvenioRDM metadata for a contribution on Data and Compute, prefilled from this page
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    "publication_date": "YYYY-MM-DD",
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        "person_or_org": {
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          "given_name": "Your given name",
          "identifiers": [
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              "scheme": "orcid",
              "identifier": "0000-0000-0000-0000"
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          ]
        },
        "affiliations": [
          {
            "id": "ROR identifier of your organisation"
          }
        ]
      }
    ],
    "description": "What it is, where its record is kept and how it bears on Data and Compute in Nexus Reports.",
    "rights": [
      {
        "id": "cc-by-4.0"
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    ],
    "subjects": [
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    "related_identifiers": [
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        "resource_type": {
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        }
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11最新

Releases for this area.

Releases tagged to this area appear here once released.

报告贡献

Send evidence on Data and Compute.

Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) 系统 证据编辑部。您对此主题的了解可以成为下一期的证据、案例或更正,署您的名,若为您本人的作品则以 CC BY 4.0 发布。若发送到错误的编辑部,会被转交,不会被拒绝。

GCRI Systems 证据编辑部数据与算力指数级技术战略系统
Reports · GCRI

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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