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GCRI · Zanista pergalan û modelkirin

Decision analysis for modelling

Decision analysis under uncertainty connects models to choices. In this field it frames what decision a model serves, which outcomes matter, how uncertainty affects the choice and when more modelling would change the decision, so modelling effort goes where it adds value.

01Qeyd

Decision analysis for modelling on the record.

Method recordSTEM method
  1. RêbazAnalîza biryarê di bin nediyarî de
  2. Applied inPergal û modelkirin
  3. Canonical pageSTEM Commons
02Application

What decision analysis under uncertainty does here.

Decision analysis under uncertainty provides structured methods for choosing among options when outcomes are uncertain and objectives conflict. It makes trade-offs and value judgements explicit. In methods and modelling, risk management and xetera pergalî and research and evidence, decision analysis helps choose actions that perform acceptably across interconnected risks and uncertain futures. It clarifies when to act now and when to keep options open. The canonical description is on STEM Commons.

Framing the decision before the model

Decision makers and modellers agree the options, objectives and key uncertainties first, so the model is built to inform an actual choice.

Value of information for models

The expected improvement in a decision from reducing a model uncertainty is estimated before investing in further model development.

Communicating model results for decisions

Results are presented as consequences of options under uncertainty, with ranges and assumptions, rather than single predictions.

03Rêbaz û delîl

How decision analysis for modelling 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 decision analysis for modelling, 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
TexmînÇima tê çêkirinÇawa tê ceribandin
Metirsî û rûbirûbûn di nav bûyerekê de serbixwe neEntegrala windahiyê ji hesabkirinê re maqûl dihêleBi lihevhatineke copula li ser tomarên hevbeş re bidin ber hev
Girêdan li nêzî xala xebatê xêzik inDihêle şok di A de belav bibinJi derveyî rêza xêzik tevlihev bike û bide ber hev
Xêzên lawaziyê di navbera cihan de têne veguhastinXêzikên herêmî kêm tên dîtinLi 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
04Dane

What the method consumes.

Datasets and records used by decision analysis under uncertainty on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

DaneRolNîşan
Elicited objectives and optionsFramingDECLARED
Model outputsConsequencesMODELKIRÎ
Uncertainty estimatesValue of informationTEXMÎNKIRÎ
05Pêvajo

Pêvajo çawa dimeşe.

Process explorer · Process

Decision analysis for modelling: Hazard, exposure, vulnerability

10 steps4 qonax

Pêvajo

Decision analysis for modelling: Hazard, exposure, vulnerability

In IPCC AR6 Working Group II, climate risk results from interactions between hazards and a system’s exposure and vulnerability, and responses can add risk.

  1. 01 Drivers

    1. 01MetirsîDataset · Model stewardThe potential occurrence of a natural or human-induced physical event or trend that may harm people, property, services or ecosystems.
    2. 02RûbirûbûnDataset · Model stewardThe presence of people, livelihoods, species, ecosystems, infrastructure or assets in places and settings that could be adversely affected.
    3. 03HesasîDataset · Model stewardThe degree to which a system or species is affected, either adversely or beneficially, by climate variability or change.
    4. 04Capacity to cope and adaptDataset · Model stewardThe ability of pergalan, institutions, humans and other organisms to adjust to damage, take opportunities or respond to consequences.
  2. 02 Assessment

    1. 05Risk from responsesComponent · Model stewardRisks from climate responses arise when responses miss their objectives, or from trade-offs or negative side effects.
    2. 06LawazîComponent · Model stewardThe propensity or predisposition to be adversely affected. It includes sensitivity to harm and lack of capacity to cope and adapt.
    3. 07XetereModel · Systems Science and ModellingRisk results from dynamic interactions between hazards and the system’s exposure and vulnerability. Each may be uncertain and change.
  3. 03 Response

    1. 08Risk management and responseStep · Model stewardRisk management is plans, actions, strategies or policies that reduce the likelihood or size of adverse consequences.
    2. 09Xetera mayîRecord · Model stewardThe climate impact risk that remains after adaptation and mitigation efforts. Adaptation can redistribute risk between areas and groups.
  4. 04 Decision

    1. 10Decision by the responsible partyDecision · Model stewardThe framing names no single decision maker. Decisions on responses rest with the responsible party under its own rules.

Outline of an external standard or method, from its public sources. It describes what the framework says, not a record of any run. It does not show that Nexus or any partner performs, certifies or approves a step. A gate is a step of the method, never a Nexus approval.

06Erêkirin

How results are checked.

Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.

Kontrol bikinHow it is done
Decision relevance reviewModelling plans are reviewed for relevance to the decision
Sensitivity of choiceAnalysis tests whether uncertainty changes the preferred option
Communication testingResult presentations are tested with intended users

Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.

07Connections

Topics that rely on this method.

08Stewardship

Who maintains the method.

Rêveberiya xetera pergalî stewards decision analysis under uncertainty for the Consortium and reviews how it is applied across platforms.

10Pirs

Pirs û bersiv.

What are the limits of decision analysis under uncertainty in this field?
Results depend on elicited probabilities and preferences that may be biased. Deep uncertainty can make expected value comparisons misleading.
How are results checked?
Analyses are checked through sensitivity analysis, peer review and stakeholder scrutiny. Retrospective review compares decisions with outcomes.
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.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk 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.

GCRIZanista pergalan û modelkirinRêbaz û teknîkîSenaryo û ceribandina stresê
Zanista pergalan û modelkirin

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.