Running and storing ensembles
Large ensembles of climate and hazard models are run on shared high-performance 系统, and outputs are stored in standard formats with full provenance.
GCRI · 气候与灾害
High-performance, cloud and edge computing run the models and handle the data volumes that hazard science needs. In this field computing determines which ensembles, resolutions and analyses are feasible, and how reproducible they are.
High-performance, cloud and edge computing provide the processing and storage capacity for simulation, analytics and digital services. They are both an enabler of 风险分析 and a critical dependency for society. In climate and hazards and disaster and crisis, computing capacity determines how fast and at what resolution risks can be modelled. Its concentration is itself a systemic dependency for finance, health and government services. The canonical description is on STEM Commons.
Large ensembles of climate and hazard models are run on shared high-performance 系统, and outputs are stored in standard formats with full provenance.
Analyses run on cloud copies of reanalyses and model archives, avoiding large downloads and keeping analysis code beside the data version it used.
Automatic stations and sensors filter and compress data before transmission where bandwidth is limited, with quality flags kept.
Rain, daytime surface heat and population density across the world, from NASA GIBS. Each layer carries its own date.
交互式地图需要JavaScript;图层列表和来源见下文。
图层 3
本页的气候信号
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。
气候信号,以全球为取景。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。
图层与日期
Datasets and records used by high-performance, cloud and edge computing on this platform, with the role each plays and the label its values carry. Sources are listed in 来源登记册.
| 数据 | 角色 | 标签 |
|---|---|---|
| CMIP6 and CORDEX archives in cloud-optimised formats | Analysis-ready model output | 模型生成 |
| ERA5 in cloud object stores | Reanalysis access | 模型生成 |
| Workflow provenance logs | 可复现性 | 观测 |
两个存量,即压力和 适应能力,由一个增强的增长回路、一个延迟的平衡响应以及压力超过能力时产生的损害相连;越过阈值后,系统可能发生突变。这是使用明示示例数值的教学模型,不是预测。
控制措施
读数
| 年份 | 压力 | 能力 | 感知 |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
贯穿六大支柱,由 Nexus Consortium 牵头
系统 are tested through benchmarks, load testing and failover exercises. Numerical reproducibility is checked across hardware and software configurations.
| 核查 | 如何开展 |
|---|---|
| Bit-for-bit reproducibility | Key analyses are re-run from recorded code and data versions to confirm identical outputs |
| Format and metadata compliance | Outputs follow CF conventions so that other tools read them correctly |
| Resource accounting | Compute and storage used by each analysis are recorded |
Concentration in few providers or regions creates shared points of failure. Energy, water and supply chain constraints limit capacity growth.
Assembled from the Nexus Standards area profile 气候风险标准: the hazards it names, the 系统 and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
灾害
控制措施
NS-0 章程与原则NS-1 维持社会运转的 UNI 与制品目录(语法 v0.2:领域、部门、区域和环境分段)NS-3 风险记录 UNI(语法、旧编码对照、分配机构)NS-3b 数据集与产品元数据规范(STAC、DCAT、PROV-O)NS-9 情境 UNI(部署、实例、计划实例)NS-11 验证与监测(证据、证明、零信任符合性观测)NS-14 符合性及与外部标准的对照NRS-H65 危害类别:超越行星边界(NHS-1 planet.boundary)NRS-H62 危害类别:复合与多危害事件(NHS-1 sys.compound)NRS-H71 危害类别:深时与宇宙灾难(NHS-1 planet.deep-time)NRS-H79 危害类别:精神卫生危机(NHS-1 health.mental)NRS-H75 危害类别:气候敏感性疾病(NHS-1 health.climate-sensitive)NRS-H7 危害类别:大尺度环流异常(NHS-1 atmo.climate-mode)观测
示例地理范围
模型、其假设、数据和不确定性,以科学家或工程师会核查的形式呈现。结构遵循已发表的方法。所取数值仅为示意,不是研究发现。
How far the outlook for computing for climate and hazard science could spread, shown as ranges rather than a single line.
数据与算力 stewards high-performance, cloud and edge computing for the Consortium and reviews how it is applied across platforms.
报告 is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
切勿发送个人数据、敏感基础设施细节或您无权分享的任何内容。贡献在使用前会经过审查;发送贡献不赋予署名权或编辑权,赞助也绝不能换取研究结论。
本网站上的地图、数据和图表仅作为背景和一般信息展示。它们不是建议、预测或预警;信息的局限见免责声明和数据说明。
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information.
This site uses only strictly necessary cookies to work and to remember your privacy choices. Nothing loads from other companies, and we never sell or share your personal information. We run no advertising. You can review your choices at any time through Privacy choices at the foot of every page.