Ensemble forecast interpretation
Ensemble weather and flood forecasts are summarised as probabilities of exceeding thresholds, so users see the chance of a hazard rather than a single scenario.
GCRI · 气候与灾害
Forecasting and time-series analysis supply the predictive side of hazard evidence: weather and flood forecasts, seasonal outlooks and statistical predictions. In this field the emphasis is on probabilistic forecasts and on verifying them honestly against what happened.
Forecasting and time-series analysis predict future values of variables from past observations and explanatory information. They support 早期预警 and planning across hazards, markets and health. In climate and hazards and disaster and crisis, forecasts trigger early action and anticipatory finance before shocks materialise. Probabilistic forecasts allow decisions to account for uncertainty across connected 系统. The canonical description is on STEM Commons.
Ensemble weather and flood forecasts are summarised as probabilities of exceeding thresholds, so users see the chance of a hazard rather than a single scenario.
Seasonal forecasts from several centres are combined, and their skill for the region and season is shown beside every outlook so users know when to trust it.
Forecasts are scored against observations with proper scoring rules and compared with reference forecasts such as climatology.
Rain, daytime surface heat and flood water 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
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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。
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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 forecasting and time-series analysis 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 |
|---|---|---|
| ECMWF and other centres’ ensemble forecasts | Probabilistic predictions | 预测 |
| Copernicus C3S multi-system seasonal forecasts | Seasonal outlooks | 预测 |
| Station and gauge observations | 核实 | 观测 |
| Reforecast archives | Skill estimation | 模型生成 |
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
Forecasts are evaluated out of sample with proper scoring rules and reliability diagrams. Rolling-origin evaluation tests performance over time.
| 核查 | 如何开展 |
|---|---|
| Proper scoring rules | Forecasts are scored with measures such as the continuous ranked probability score that reward honest probabilities |
| Reliability diagrams | Forecast probabilities are compared with observed frequencies |
| Reference comparison | Skill is always stated against a reference such as climatology or persistence |
Structural breaks and regime changes undermine models trained on the past. Forecast skill typically declines rapidly with lead time.
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 forecasting for hazards could spread, shown as ranges rather than a single line.
Process explorer · Process
9 steps·3 stages·1 gate
流程
The WMO flood forecasting manual and Early Warnings for All describe the chain from forecast to action, across EW4All’s four pillars.
Neutral outline of a published external standard or method, from its issuing body. Not a record of operation. Nexus does not perform, certify or approve any step shown. A gate or decision belongs to the party the source names.
Climate and Hazards stewards forecasting and time-series analysis 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。
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