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. Inxetera pergalîmanagement they are used to probe cross-sector cascades, to find breaking points and to compare preparedness across institutions on common assumptions.
What scenario design and stress testing does here.
Scenario design and stress testing construct plausible, severe future conditions to examine howpergalanand institutions would perform. They complement probabilistic analysis where data are scarce or futures are deeply uncertain. In risk management andxetera pergalîand 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 onSTEM Commons.
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.
Reverse stress testing
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.
Second-round effects
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.
03Simulator
Stok, herik, dereng û sînorê guherînê.
Du stok, zext û kapasîteya adaptasyonê, bi xelekeyeke mezinbûnê ya xurtker, bersiveke hevsengiyê ya dereng û zirarê dema ku zext ji kapasîteyê derbas dibe têne girêdan; li derveyî sînor pergal dikare biguhere. Modela fêrkirinê bi nirxên nimûneyî yên diyarkirî, ne pêşbînî.
Kontrol
Zêdebûna zextê
6.0% salê
Bandora kapasîteyê di kêmkirina zextê de
4.0% salê
Bersiva veberhênanê li hember zextê ya hatî dîtin
20%
Derengiya têgihîştinê
4.0 sal
Sînorê guherînê yê zextê
60 indeks
Zêdebûn li derveyî sînor
2.0 carî
Salên simulekirî
50 sal
Xwendin
Zexta herî bilind
113 nîşander
Kapasîte di dawiyê de
186 indeks
Salên li ser sînor
15.8 sal
Jimar, rêbaz û çavkanî
Sal
Zextê
Kapasîte
Hatî dîtin
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
Rêbaz
Dînamîkên pergalê Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
Veguherînên krîtîk û xalên guherînê Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
Diagrama xelekeya sedemî Sterman (2000), Business Dynamics, McGraw-Hill
Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley
Dane
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.
Stok, herik, derengî û sînorekî tipping. Modeleke hînkirinê ya ronîker: li gorî nirxên ku kontrol destnîşan dikin dixebite, ne li ser daneyên pîvandî. Rêbaz: Dînamîkên pergalê (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Veguherînên krîtîk û xalên tipping (Scheffer û yên din (2009), Early-warning signals for critical transitions, Nature 461); Dîagrama xelekên sedemî (Sterman (2000), Business Dynamics, McGraw-Hill).
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
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 inthe source register.
Dane
Rol
Nîşan
NGFS climate scenarios
Reference physical and transition pathways
MODELKIRÎ
Reasonable worst-case planning scenarios
Civil contingency assumptions
Statîstîkên weşandî
Historical event reconstructions
Calibration of severity
ÇAVDÊRÎKIRÎ
Dependency inventories
Propagation structure
DECLARED
05Rêbaz û delîl
How scenario design and stress testing is modelled, measured and tested.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
Model, hevkêşe û texmîn
The model structure used for scenario design and stress testing, the assumptions it makes and how each is tested.
Xetera hêmana iRi = f(Hi, Ei, Vi, Ci)metirsî, rûbirûbûn, lawazî û kapasîteya serederiyê
Windahiya salane ya hêvîkirîEAL = ∑k pk · Lkli ser bûyerên k bi îhtîmala salane pk
Pergalên girêdayîxt+1 = A xt + B ut + εtA carries the couplings, u the shock, ε the error
Texmîn
Çima tê çêkirin
Çawa tê ceribandin
Metirsî û rûbirûbûn di nav bûyerekê de serbixwe ne
Entegrala windahiyê ji hesabkirinê re maqûl dihêle
Bi lihevhatineke copula li ser tomarên hevbeş re bidin ber hev
Girêdan li nêzî xala xebatê xêzik in
Dihêle şok di A de belav bibin
Ji derveyî rêza xêzik tevlihev bike û bide ber hev
Xêzên lawaziyê di navbera cihan de têne veguhastin
Xêzikên herêmî kêm tên dîtin
Li hember windahiyên çavdêrîkirî erê bike li cihê ku hene
Têketin
danehevên bi guhertoyan û çavkaniyê
Derketin
belavkirin, tu carî jimarên tenê
Kod
bi qerta modelê û ceribandinan re hat weşandin
Zêdebûn
heman dane, kod, jîngeh û tov
Formulasyonên standard ên xetereyê û qada rewşê; texmînên navborî ji bo rêbazê tîpîk in, ji bo nirxandinê hatine diyarkirin, ne encam in.
Prensîbên rêber ên FAIR · GO FAIR û FORCE11W3C PROV · World Wide Web ConsortiumRêwerzên ji bo birêvebirina hevgirtî ya nediyarîyan · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06Erêkirin
How results are checked.
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
Kontrol bikin
How it is done
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.
What are the limits of scenario design and stress testing in this field?
Scenario choice can reflect prevailing assumptions and miss novel combinations. Results depend on how participants and models represent responses.
How are results checked?
Scenarios are reviewed for plausibility, internal consistency and severity relative to history. Exercise outcomes are compared with actual events when they occur.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
rêzeya Pergalên Stratejîkis 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.
GCRIRêveberiya xetera pergalîSenaryo û ceribandina stresêRêbaz û teknîkîPortfolyo û amadebûn
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Rêveberiya xetera pergalî
Rêbazek, danehevek an pirsek bîne.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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