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GCRI · Water Nexus

Uncertainty quantification for water models

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.

01ثبت‌خانه

Uncertainty quantification for water models on the record.

Method recordSTEM method
  1. روشکمّی‌سازی عدم قطعیت و اعتبارسنجی مدل
  2. Applied in⁨Water Nexus⁩
  3. داده3 inputs
  4. Canonical pageSTEM Commons
02Application

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 and زیرساخت‌های حیاتی, 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 on STEM 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.

03امضای بخشی

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.

گوشه‌ها را انتخاب کنید · روی خطوط نشانگر ببرید6 / 15 رابطه

امضا

آب و شریکانش

آب آبیاری را به غذا (0.8)، آب خنک‌کننده و برق‌آبی را به انرژی (0.6) و جریان‌های محیط‌زیستی را به تنوع زیستی (0.6) می‌رساند.

W · E · I · F · H · B

بخش‌ها
4 از 6
روابط
6 از 15
پیوستگی
0.43 سهم از کل

قوی‌ترین روابط در جریان

  • غذا ← تنوع زیستی · تبدیل کاربری زمین0.6
  • آب ← انرژی · آب خنک‌کننده و برق‌آبی0.6
  • آب ← غذا · آبیاری0.8
  • آب ← تنوع زیستی · جریان‌های محیط‌زیستی0.6
مقادیر آموزشی برای یک منطقهٔ شهری نمونه، نه اندازه‌گیری برای هیچ مکانی. جفت‌شدگی مجموع قدرت روابط در جریان است، به‌صورت سهمی از هر پانزده رابطه.
04داده

What the method consumes.

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 in the source register.

دادهنقشبرچسب
Model ensemblesSpread and sensitivityمدل‌سازی‌شده
Observation error estimatesInput uncertaintyبرآوردشده
Expert elicitationWhere no data existبرآوردشده
05روش‌ها و شواهد

How uncertainty quantification for water models is modelled, measured and tested.

مدل، مفروضات، داده‌ها و عدم قطعیت آن، به شکلی که دانشمند یا مهندس بررسی می‌کند. ساختارها از روش‌های منتشرشده پیروی می‌کنند. مقادیر ترسیم‌شده تبیینی‌اند، نه یافته.

باندهای عدم قطعیت

How far the outlook for uncertainty quantification for water models could spread, shown as ranges rather than a single line.

اکنون+5+10+15+20+25+30 yزیادکمگسترهٔ بسیار محتملدامنهٔ محتمل
برآورد مرکزی
میانهٔ مجموعه
دامنه‌ها
محتمل و بسیار محتمل، در زبان واسنجی‌شدهٔ IPCC
مجموعه
اعضا، سناریوها و شرایط اولیه اعلام شده‌اند
را با این بخوانید
حساسیت نتیجه به هر ورودی
گسترهٔ مجموعهٔ تبیینی بر مقیاس شاخص؛ شکل آن از رهنمود عدم قطعیت IPCC پیروی می‌کند. پیش‌بینی نیست.
اصول راهنمای FAIR · GO FAIR و FORCE11W3C PROV · کنسرسیوم وب جهانیGuidance on consistent treatment of uncertainties · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
06اعتبارسنجی

How results are checked.

Predictive distributions are tested for calibration and sharpness against held-out observations. Verification confirms that code solves the intended equations.

بررسیHow it is done
تحلیل حساسیتThe inputs that drive most of the output range are identified and reported
Calibration of probabilitiesStated probabilities are checked against outcomes where a record exists
Label auditA 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.

07فرایند

نحوهٔ اجرای فرایند.

Process explorer · Process

Uncertainty quantification for water models: Hazard, exposure, vulnerability

10 steps4 مرحله

فرایند

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.

  1. 01 Drivers

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

    1. 05Risk from responsesComponent · Basin authorityRisks from climate responses arise when responses miss their objectives, or from trade-offs or negative side effects.
    2. 06آسیب‌پذیریComponent · Basin authorityThe propensity or predisposition to be adversely affected. It includes sensitivity to harm and lack of capacity to cope and adapt.
    3. 07ریسکModel · Water NexusRisk 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 · Basin authorityRisk management is plans, actions, strategies or policies that reduce the likelihood or size of adverse consequences.
    2. 09ریسک باقیماندهRecord · Basin authorityThe 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 · 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.

09تولیت

Who maintains the method.

علوم سامانه‌ها و مدل‌سازی stewards uncertainty quantification and model validation for the Consortium and reviews how it is applied across platforms.

10متصل

جایی که این صفحه در سراسر کنسرسیوم به آن می‌رسد.

11پرسش‌ها

پرسش و پاسخ.

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.
Where else is this method applied?
رصدخانهٔ canonical method page lists every platform that applies it.
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GCRI⁨Water Nexus⁩ریسک و تاب‌آوری بخشی جهانیریسک و تاب‌آوری سامانه‌های کشوریسیگنال رصدخانه
⁨Water Nexus⁩

یک روش، یک مجموعه‌داده یا یک پرسش بیاورید.

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