Uncertainty quantification is what makes the evidence honest: every modelled value on this platform carries a range, a label and the assumptions behind it, so a decision-maker can see how much weight it bears.
What uncertainty quantification and model validation does here.
Uncertainty quantification and model validation characterise how uncertainty in inputs, parameters and model structure affects predictions. They establish how much confidence a model’s outputs deserve. In water, climate and hazards andژێرخانی هەستیار, uncertainty quantification shows where risk estimates are robust and where they are fragile. It guides where better data or models would change decisions. The canonical description is onSTEM Commons.
Ensemble and parameter uncertainty
Models are run across parameter sets and forcing ensembles; the spread is reported as the range, not collapsed to a mean.
Propagation through the cascade
Uncertainty in inflow is carried into storage, generation, treatment and health effects, so the final range reflects every step.
Evidence labelling
Each value is labelled observed, published statistics, modelled, estimated, forecast or unknown, and the label travels with the value into every figure and table.
03واژۆی کەرت
The sector signature of uncertainty quantification for water models.
The sectors uncertainty quantification for water models touches and how strongly they depend on each other: what a study has to observe and model together.
Datasets and records used by uncertainty quantification and model validation on this platform, with the role each plays and the label its values carry. Sources are listed inthe source register.
پرەنسیپە ڕێنماییەکانی FAIR · GO FAIR و FORCE11W3C PROV · World Wide Web Consortiumڕێنمایی بۆ مامەڵەی یەکسان لەگەڵ نادڵنیاییەکان · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06پشتڕاستکردنەوە
How results are checked.
Predictive distributions are tested for calibration and sharpness against held-out observations. Verification confirms that code solves the intended equations.
The inputs that drive most of the output range are identified and reported
Calibration of probabilities
Stated probabilities are checked against outcomes where a record exists
Label audit
A sample of published values is traced back to the evidence behind its label
Structural uncertainty and unknown unknowns are difficult to represent. Computational cost limits exploration of high-dimensional models.
07پرۆسە
چۆن پرۆسەکە کار دەکات.
Process explorer · Process
Uncertainty quantification for water models: Hazard, exposure, vulnerability
10 steps·4 قۆناغ
پرۆسە
Uncertainty quantification for water models: 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.
01 Drivers
01مەترسیدەرDataset · Basin authorityThe potential occurrence of a natural or human-induced physical event or trend that may harm people, property, services or ecosystems.
02ڕووبەڕووبوونDataset · Basin authorityThe presence of people, livelihoods, species, ecosystems, infrastructure or assets in places and settings that could be adversely affected.
03هەستیاریDataset · Basin authorityThe degree to which a system or species is affected, either adversely or beneficially, byclimate variabilityor change.
04Capacity to cope and adaptDataset · Basin authorityThe ability ofسیستەمە, institutions, humans and other organisms to adjust to damage, take opportunities or respond to consequences.
02 Assessment
05Risk from responsesComponent · Basin authorityRisks from climate responses arise when responses miss their objectives, or from trade-offs or negative side effects.
06لاوازیComponent · Basin authorityThe propensity or predisposition to be adversely affected. It includes sensitivity to harm and lack of capacity to cope and adapt.
07مەترسیModel · Water NexusRisk results from dynamic interactions between hazards and the system’s exposure and vulnerability. Each may be uncertain and change.
03 Response
08Risk management and responseStep · Basin authorityRisk management is plans, actions, strategies or policies that reduce the likelihood or size of adverse consequences.
09مەترسیی ماوەRecord · Basin authorityThe climate impact risk that remains after adaptation and mitigation efforts. Adaptation can redistribute risk between areas and groups.
04 Decision
10Decision by the responsible partyDecision · Basin authorityThe 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.
زانستی سیستەمەکان و مۆدێلسازیstewards uncertainty quantification and model validation for the Consortium and reviews how it is applied across platforms.
What are the limits of uncertainty quantification and model validation in this field?
Structural uncertainty and unknown unknowns are difficult to represent. Computational cost limits exploration of high-dimensional models.
How are results checked?
Predictive distributions are tested for calibration and sharpness against held-out observations. Verification confirms that code solves the intended equations.
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.
Reportsis 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.
GCRIWater Nexusمەترسی و خۆڕاگریی کەرتی جیهانیمەترسی و خۆڕاگریی سیستەمی وڵاتئاماژەی چاودێرگە
Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.
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.
Details
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.