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Risk management and systemic risk · Methods and modelling

Reports 中的系统性风险管理

Risk management that sees interdependence, uncertainty, cascading loss and the human consequences of decisions. This page shows the series it feeds, the evidence behind it and how to contribute.

系列
3
系统
3
方法
6
01In brief

What this area brings to the editions.

洞察相互依赖、不确定性、级联损失以及决策对人的影响的风险管理。

02领域

Systemic Risk Management on the map.

交互式地图需要JavaScript;图层列表和来源见下文。

图层 3

本页面的危害与暴露

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
观测(云层造成缺口)
来源
VIIRS 全球洪水产品(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
每日;卫星探测;云层造成缺口
构建时的最新内容
2026-10-14
处理结果
约 250 米网格
不确定性
卫星探测;云层造成缺口。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
观测(持续云层仍会造成缺口)
来源
VIIRS NOAA-20 Level 3,8 天(NASA LANCE)
提供方
NASA LANCE
许可协议
NASA 开放数据
年份版本
8 天;卫星 8 天合成;持续云层仍会造成缺口
构建时的最新内容
2026-09-14
处理结果
约 1 公里网格
不确定性
截至所示日期的 8 天内地表的卫星皮肤温度,是高温风险暴露指标;不是气温、热指数,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
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(云层和过境时间造成缺口)
来源
VIIRS NOAA-20 375 米(FIRMS)(NASA LANCE FIRMS)
提供方
NASA LANCE FIRMS
许可协议
NASA 开放数据
年份版本
每日;卫星探测;云层和过境时间造成缺口
构建时的最新内容
2026-10-13
处理结果
约 500 米网格
不确定性
所示日期的卫星热点探测结果,包括天然气火炬和工业热源;并非已确认的火情、事件报告或预警。
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。

危害与风险暴露,以亚洲为取景。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 · 美国地质调查局 · 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
  • 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
  • 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
  • NASA 火情资源管理信息系统(FIRMS),VIIRS 375 m 活跃火点产品,NASA LANCE;矢量瓦片经由 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
  • 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。
  • 实时:美国地质调查局。事件仅供参考,不是主管机构的预警。
  • 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).
  • 河流流量预报,30天及区间(GloFAS,经Open-Meteo):包含经修改的Copernicus Emergency Management Service 2026年信息;非洪水警报。
  • 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(图层列表中有 11 个来源:实时、预报、观测和背景)开启时会在地图上和此处显示其提供方署名;预报是模型输出,派生指数是估计值。

图层与日期

  • 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
  • 洪水水体,3 日合成:VIIRS 全球洪水产品,NASA LANCE · 2026年10月14日
  • 地表温度,日间,8 天合成:VIIRS NOAA-20 3 级产品,8 天,NASA LANCE · 2026年9月14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
  • 活跃火点与热异常:VIIRS NOAA-20 375 m(FIRMS),NASA LANCE FIRMS · 2026年10月13日

03In the editions

9 findings of the drafted editions that bear on Systemic Risk Management.

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The leading compound pathway for 2027 testing is a humid summer heat peak that loads power, desalination and outdoor-work protection together.EXPERT INPUT · COUNTRY-ARE-SYS-012
  2. ARG阿根廷The leading compound pathway for 2027 testing is a multi-year drought with low Paraná flows that cuts harvests, river exports, hydropower and public revenue together.EXPERT INPUT · COUNTRY-ARG-SYS-012
  3. AU非洲联盟The leading compound pathway for 2027 testing is a drought year across several member states, met by high food prices and a disease outbreak.EXPERT INPUT · COUNTRY-AU-SYS-012
  4. AUS澳大利亚The leading compound pathway for 2027 testing is a hot, dry summer in which fire, smoke, heat and grid stress coincide in the populated south-east.EXPERT INPUT · COUNTRY-AUS-SYS-012
  5. BRA巴西The leading compound pathway for 2027 testing is a strong El Niño drought that lowers Amazon rivers and hydropower while fire and thermal dispatch rise together.EXPERT INPUT · COUNTRY-BRA-SYS-012
  6. CHE瑞士The leading compound pathway for 2027 testing is a dry year with low reservoirs and low river flows that cuts hydropower and raises winter import dependence at the same time as farm and forest stress.EXPERT INPUT · COUNTRY-CHE-SYS-012
  7. CHN中国The leading compound pathway for 2027 testing is extreme rain on a dense plain in a hot summer that cuts roads, underground transport, water and care together.EXPERT INPUT · COUNTRY-CHN-SYS-012
  8. EU欧洲联盟The leading compound pathway for 2027 testing is a summer of heat, drought and fire across several member states at once, met by tight energy supply.EXPERT INPUT · COUNTRY-EU-SYS-012
  9. GS-02全球能源The leading compound pathway for 2027 testing is a fuel supply shock that coincides with a hot, high-demand season and a stressed grid.EXPERT INPUT · SECTOR-ENERGY-GLOBAL-SYS-012
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 系统性风险 Management 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 readsSystemic Risk Management reads NXS-DSS(决策案例与审议) and The Global Risks Index (NXS-GRX): governed sources with their releases, never a value without its source.
02 How it reads themDecision analysis under uncertainty and Scenario design and stress testing 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 Scenario and Stress-Test and Methods and Technical, 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 中的系统性风险管理 (2026); Systemic Risk Management home (2026).

05系列

The series it feeds, and what backs each.

系列Foundry systems it draws onAcademy disciplinesSeries home
情景与压力测试NXS-DSS combined scenario sets and the option appraisals run on them
NXS-GRX the cascade paths a stress test follows
情景分析与压力测试
不确定性与决策
Systemic, compound and 级联风险
Scenario and Stress-Test series home
方法与技术NXS-GRX the methods, indicators and validation studies behind each product
NXS-LAB(研究、实验与模拟) method comparisons under transparent test conditions
NXS-NXQ(软件、模型与能力生命周期) the fitness record of models and tools the methods use
定量风险分析与统计
模型风险 and validation
风险指标与综合指数
Methods and Technical series home
组合与准备度NXS-CMD (integrated posture and executive synthesis) national and programme portfolios with their readiness evidence
NXS-AAP(预期行动与触发条件) whether early actions can be delivered within their lead time
NXS-RLS(参与方、协议和移交) the commitments and conditions attached to each portfolio item
发展融资
企业风险管理与风险框架
预警 与 预期行动
Portfolio and Readiness series home
09贡献

Contribute on Systemic Risk Management.

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 Systemic Risk Management.

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

Systemic Risk Management’s open record

区域
系统性风险管理
Feeds
Scenario and Stress-Test, Methods and Technical, Portfolio and Readiness
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 Systemic Risk Management; 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 Systemic Risk Management, prefilled from this page
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        "affiliations": [
          {
            "id": "ROR identifier of your organisation"
          }
        ]
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    ],
    "description": "What it is, where its record is kept and how it bears on Systemic Risk Management in Nexus Reports.",
    "rights": [
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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 Systemic Risk Management.

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 证据编辑部系统性风险管理情景与压力测试方法与技术组合与准备度
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.

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.