Cross-sector scenario design
Scenarios are built with a trigger, severity, timing and conditions, then traced through the dependencies of energy, water, communications, finance and public services, with every assumption written down.
GCRI · 시스템 리스크 관리
Scenario design and stress testing are the method this platform stewards for the network. They turn severe but plausible events into structured tests of plans, buffers and dependencies. In 시스템 리스크 management they are used to probe cross-sector cascades, to find breaking points and to compare preparedness across institutions on common assumptions.
Scenario design and stress testing construct plausible, severe future conditions to examine how 시스템 and institutions would perform. They complement probabilistic analysis where data are scarce or futures are deeply uncertain. In risk management and 시스템 리스크 and methods and modelling, stress tests reveal vulnerabilities that arise when several risks materialise together. They inform capital, contingency and coordination plans across sectors. The canonical description is on STEM Commons.
Scenarios are built with a trigger, severity, timing and conditions, then traced through the dependencies of energy, water, communications, finance and public services, with every assumption written down.
Starting from a defined failure, such as a service stopping, analysts search for combinations of events that would cause it and document which ones are plausible.
Tests add the reactions of institutions during a crisis, such as asset sales, supply hoarding or service cuts, to see how responses amplify or dampen the initial shock.
두 개의 저량, 압력과 적응 역량이라는 두 저량이 강화형 성장 순환, 지연된 균형 반응, 압력이 역량을 앞지를 때의 피해로 연결됩니다. 임계값을 넘으면 시스템은 급변할 수 있습니다. 명시된 예시 값을 쓰는 교육용 모형이며 예측이 아닙니다.
통제 수단
판독값
| 연도 | 압력 | 역량 | 인지된 |
|---|---|---|---|
| 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.
여섯 기둥 전반에 걸쳐, Nexus Consortium 주도
Datasets and records used by scenario design and stress testing on this platform, with the role each plays and the label its values carry. Sources are listed in 출처 등록부.
| 데이터 | 역할 | 라벨 |
|---|---|---|
| NGFS 기후 시나리오 | Reference physical and transition pathways | 모형 산출 |
| Reasonable worst-case planning scenarios | Civil contingency assumptions | 공표 통계 |
| Historical event reconstructions | Calibration of severity | 관측 |
| Dependency inventories | Propagation structure | 신고됨 |
모형, 그 가정, 데이터, 불확실성을 과학자나 엔지니어가 확인할 형태로 제시합니다. 구조는 발행된 방법을 따릅니다. 제시된 값은 예시이며 결과가 아닙니다.
The model structure used for scenario design and stress testing, the assumptions it makes and how each is tested.
Ri = f(Hi, Ei, Vi, Ci)재해, 노출, 취약성, 대처 역량EAL = ∑k pk · Lk연간 확률이 pkxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error| 가정 | 만드는 이유 | 시험 방법 |
|---|---|---|
| 한 사건 안에서 재해와 노출은 서로 독립적임 | 손실 적분을 다루기 쉽게 유지함 | 결합 기록에 적합한 코퓰러와 비교 |
| 결합은 운전점 근처에서 선형이다 | 충격이 A를 통해 전파되게 함 | 선형 범위를 넘어 섭동을 주고 비교하십시오 |
| 취약성 곡선은 장소 간에 옮겨 쓸 수 있다 | 지역 곡선은 거의 없다 | 관측된 손실이 있는 곳에서는 이에 대해 검증 |
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
| 점검 | 수행 방식 |
|---|---|
| Plausibility review | Scenarios are reviewed by domain experts for internal consistency and plausibility before use |
| Severity benchmarking | Scenario severity is compared with historical events and published reference scenarios |
| Model coverage | The share of mapped critical dependencies represented in the test is reported with the results |
Scenario choice can reflect prevailing assumptions and miss novel combinations. Results depend on how participants and models represent responses.
시스템 리스크 Management stewards scenario design and stress testing for the Consortium and reviews how it is applied across platforms.
보고서 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.
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