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GRA · Climate and Nature Financial Risk

Spatial financeWhere capital meets hazard, exposure and transition

Climate and atmospheric science at Climate and Nature Financial Risk

Climate science supplies the hazard evidence and scenarios behind climate financial risk: observed trends, projections for warming levels and the uncertainty around them. On this platform it is read for what financial users need from it, at the horizons and locations of their exposures.

01تۆمارکردن

Climate and atmospheric science at Climate and Nature Financial Risk on the record.

Method recordSTEM method
  1. ڕێگازانستی کەشوهەوا و هەواگۆڕ
  2. Applied inمەترسیی داراییی کەشوهەوا و سروشت
  3. داتا3 inputs
  4. Canonical pageSTEM Commons
02بەکارهێنان

What climate and atmospheric science does here.

Climate science studies the physical processes that govern the atmosphere, oceans, cryosphere and land surface over seasons to centuries. It provides the basis for understanding changes in hazard frequency and intensity that propagate through economic and social سیستەمەکان. In climate and hazards, biodiversity and nature and capital markets and investment, climate projections frame long-horizon scenarios for infrastructure, insurance, food systems and public finance. They allow correlated hazards across regions and sectors to be examined together. The canonical description is on the STEM Commons.

Hazard projections for portfolios

Projections of flood, heat and drought at asset locations are drawn from model ensembles for several warming levels, with the spread shown for each.

Tail and compound hazards

Low-likelihood high-impact outcomes assessed by the IPCC are explained so that institutions can include them in severe scenarios.

Scenario physical variables

Physical variables in NGFS scenarios are traced back to their climate model sources, so users know what they represent.

03Spatial finance

Exposure, hazard and the exceedance curve.

Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.

Coastal exposure under cyclone and earthquake zones, beside the loss curve it produces.Illustrative design values, not a model output or a price.
04داتا

What the method consumes.

Datasets and records used by climate and atmospheric science on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.

داتاڕۆڵناونیشان
CMIP6 projectionsFuture hazardمۆدێلکراو
ERA5 reanalysisHistorical baselineمۆدێلکراو
IPCC assessmentsAssessed confidenceREPORTED
05چاودێری

Forecast verification.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

پشتڕاستکردنەوەی پێشبینی

Climate and nature financial risk · Climate and atmospheric science · Run R-0660

Skill above referenceGRA · Climate and Nature Financial Risk

Forecast with range

Method card

ڕێگا
زانستی کەشوهەوا و هەواگۆڕ
Reference
climatology
Lead times
1 to 8 steps
ناونیشان
مۆدێلکراو

Verification by lead time

held-out period

T+20.390.200.09Marginal
T+40.280.290.37Skilful
T+60.410.150.23Skilful
T+80.180.280.25Marginal
Forecast verification: the screen’s structure, terms and states for Climate and nature financial risk.ناو و بەهای نموونەیی؛ دیزاینێکە، نەک تۆمار یان سیستەمی ڕاستەوخۆ.
06پشتڕاستکردنەوە

How results are checked.

Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.

بپشکنەHow it is done
Ensemble spreadResults are shown across climate models
Downscaling validationLocal projections are compared with observations
Confidence languageIPCC confidence terms accompany findings

Projections depend on emission pathways and on parameterised processes such as clouds and convection. Regional detail and changes in rare extremes carry wide uncertainty.

07Scenario model

Transition and physical risk on a portfolio.

Three scenario families after the NGFS framework move a sector portfolio through carbon costs and warming damages; the transmission view follows the losses to lenders, investors, public finances and households. Scenario: named assumptions about the future, not a forecast. The map on this page shows Southeast Asia; the model itself is not tied to a place.

کۆنترۆڵەکان

Carbon price at the horizon, orderly path
200 per tCO2
Delay before a disorderly transition
50% of horizon
Cost passed to customers
50%
Warming today above pre-industrial
1.30°C
Warming per decade, current policies
0.25°C
Damage coefficient
0.24% per °C²
ساڵەکانی داهاتوو
25 years

خوێندنەوەکان

Worst scenario at the horizon
−33.6% of value
ژمارە، ڕێگا و سەرچاوەکان
ساڵOrderly transition (% value)Delayed, disorderly transition (% value)Current policies (% value)
0−0.38−0.38−0.38
3−2.87−0.53−0.67
6−5.36−0.68−0.97
9−7.84−0.84−1.27
12−10.33−0.99−1.57
15−12.82−7.12−1.87
18−15.31−15.05−2.17
21−17.80−23.00−2.48
24−20.29−30.94−2.79

ڕێگاکان

  1. Climate scenario families NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV
  2. Climate stress test of the financial system Battiston and others (2017), Nature Climate Change 7
  3. Damage function Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114
  4. Transmission channels BCBS (2021), Climate-related risk drivers and their transmission channels
  5. پەنجەی نادڵنیایی (مۆنتی کارلۆی پارامیتەر) Spiegelhalter, Pearson و Short (2011)، Visualising uncertainty about the future، Science 333
  6. هەستیاریی یەک-یەک (تۆرناد) Saltelli و ئەوانی دیکە (2008)، Global Sensitivity Analysis: The Primer، Wiley

داتا

The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:

  • بەرینی شارەکان Natural Earth
  • بەندەرە دەریاییەکان Natural Earth
  • Past year, daily temperature (ERA5 via Open-Meteo) Open-Meteo.com (CC BY 4.0), Copernicus ERA5 (C3S/ECMWF) · register open-meteo.public-pages
  • Surface air temperature, daytime (AIRS) NASA AIRS · register nasa.gibs.context-live-layers
Transition and physical risk on a portfolio. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: Climate scenario families (NGFS (2023), Climate Scenarios for central banks and supervisors, Phase IV); Climate stress test of the financial system (Battiston and others (2017), Nature Climate Change 7); Damage function (Nordhaus (2017), Revisiting the social cost of carbon, PNAS 114).

لە ناو شەش کۆڵەکەکەدا، بە سەرپەرشتیی Nexus Consortium

09شبیهسازی دووانە و زنجیرەیی

Trace a shock to the balance sheet.

Assembled from the Nexus Standards area profile ستانداردەکانی مەترسیی کەشوهەوا: the shocks it names, the سیستەمەکان and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.

مەترسیدەرەکان

  • Sea-level rise
  • Coastal flood (set off downstream)
  • Storm surge (set off downstream)
  • High-tide flooding (set off downstream)
  • Coastal erosion (set off downstream)
  • Saltwater intrusion (set off downstream)
  • Estuary flood (set off downstream)
  • Coastal habitat squeeze (set off downstream)
  • Wetland loss (set off downstream)
  • Mangrove loss (set off downstream)
  • Groundwater flood (set off downstream)
  • Climate-driven migration and relocation (set off downstream)
  • ئاوارەبوونی بەکۆمەڵ (لە خوارەوە دەستپێدەکات)

کۆنترۆڵەکان

  • NS-0 دەستوور و بنەماکان
  • NS-1 ئەو UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)
  • NS-3 UNIەکانی تۆماری مەترسی (ڕێزمان، خشتەی گواستنەوەی کۆن، دەسەڵاتی تەرخانکردن)
  • NS-3b پرۆفایلی میتاداتای کۆمەڵە داتا و بەرهەم (STAC, DCAT, PROV-O)
  • NS-9 UNIی ناوەڕۆکی (دامەزراندنەکان، نموونەکان، نموونەکانی پڕۆگرام)
  • NS-11 سەلماندن و چاودێری (بەڵگە، گواهییەکان، چاودێریی گونجان لەگەڵ zero-trust)
  • NS-14 پابەندبوون و هاوتاکردن لەگەڵ ستانداردی دەرەکی
  • NRS-H65 خێزانی مەترسیدەر: پێشێلکردنی سنوورەکانی گۆی زەوی (NHS-1 planet.boundary)
  • NRS-H62 خێزانی مەترسیدەر: ڕووداوە تێکەڵ و فرەمەترسیدەرەکان (NHS-1 sys.compound)
  • NRS-H71 خێزانی مەترسیدەر: کارەساتە کەونی و کاتی قووڵەکان (NHS-1 planet.deep-time)
  • NRS-H79 خێزانی مەترسیدەر: قەیرانەکانی تەندروستیی دەروونی (NHS-1 health.mental)
  • NRS-H75 خێزانی مەترسیدەر: نەخۆشییە هەستیارەکان بە کەشوهەوا (NHS-1 health.climate-sensitive)
  • NRS-H7 خێزانی مەترسیدەر: نائاساییبوونی سووڕانەوەی گەورە (NHS-1 atmo.climate-mode)

چاودێری

  • ERA5 reanalysis (Copernicus Climate Data Store) (listed for reference)
  • CMIP6 climate projections (Copernicus Climate Data Store) (listed for reference)
  • NGFS Scenario Explorer (listed for reference)
  • INFORM Risk Index (listed for reference)
  • Number of deaths, missing persons and directly affected persons attributed to disasters per 100,000 population
  • Total greenhouse gas emissions per year
  • Direct economic loss attributed to disasters in relation to global GDP

جوگرافیای نموونە

  • Pacific Island states: 150 hexagonal cells
  • ڕووناکییەکانی شەو ئەمشەو، پچڕانی کارەبا (VIIRS Day/Night Band)، NASA GIBS
  • ئاوی ڕووی زەوی لە ڕێگەی هەورەوە، 30 م (ڕادارەی OPERA DSWx-S1)، NASA GIBS
  • ڕێژەی بارین، نیو کاتژمێری ڕابردوو (IMERG)، NASA GIBS
  • Vegetation disturbance alerts, 30 m (OPERA DIST-ALERT), NASA GIBS
10Stewardship

Who maintains the method.

کەشوهەوا و مەترسیدەرەکان stewards climate and atmospheric science for the Consortium and reviews how it is applied across platforms.

11واژۆی کەرت

Where exposure in Climate and atmospheric science at Climate and Nature Financial Risk travels.

The sectors that carry exposure in Climate and atmospheric science at Climate and Nature Financial Risk and how a loss in one passes to the others, across portfolios and public finances.

گۆشەکان هەڵبژێرە · بەسەر هێڵەکاندا ڕابوەستە6 / 15 پەیوەندی

واژۆ

فرەجۆریی زیندەوەری و هاوبەشەکانی

فرەجۆریی زیندەوەری گواستنەوەی تۆزی گوڵ و خاک دەداتە خۆراک (0.6)، ڕێکخستنی حەوزی ئاو دەداتە ئاو (0.5) و بڵاوبوونەوەی زوونۆتیک و دەرمان دەداتە تەندروستی (0.4).

W · E · I · F · H · B

کەرتەکان
4 لە 6
پەیوەندییەکان
6 لە 15
هاوبەستی
0.46 بەشی کۆی گشتی

بەهێزترین پەیوەندییەکانی لە کاردا

  • خۆراک → فرەجۆریی زیندەوەری · گۆڕینی زەوی0.6
  • ئاو → خۆراک · ئاودێری0.8
  • ئاو → فرەجۆریی زیندەوەری · ڕەوتی ژینگەیی0.6
  • خۆراک → تەندروستی · خۆراکپێدان0.7
بەهای فێرکاری بۆ ناوچە-شارێکی ئاسایی، نەک پێوانە بۆ هیچ شوێنێک. هاوبەستی کۆی بەهێزی ئەو پەیوەندییانەیە کە لە کاردان، وەک بەشێک لە هەر پانزەکە.
12پەیوەست

ئەو شوێنانەی ئەم لاپەڕەیە لە ناو کۆنسۆرتیۆم بۆیان دەبات.

13Exposure, loss and capital

What it means for exposure, loss and capital.

The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.

Scenario pathways

How Climate and atmospheric science at Climate and Nature Financial Risk could be stressed under the scenario families central banks and supervisors use.

OrderlyDisorderlyHot house world202520302035204020452050بەرزنزم
Scenario familyTransition riskPhysical riskWhat a stress test asks
OrderlyEarly, gradual policyنزمCan the book absorb a steady repricing?
DisorderlyLate, abrupt policyLower to mediumWhat breaks under a sudden repricing and credit migration?
Hot house worldLimited policyHigh and risingWhere do physical losses concentrate in collateral and insurance?
Scenario families as defined by the NGFS; the curves are an illustrative combined pressure index, not NGFS variables or forecasts.
NGFS climate scenarios · Network for Greening the Financial SystemIFRS S2 Climate-related Disclosures · ISSBTCFD recommendations · Financial Stability Board TCFDPrinciples for the effective management of climate-related financial risks · Basel Committee on Banking Supervision
14پرسیارەکان

پرسیار و وەڵام.

What are the limits of climate and atmospheric science in this field?
Projections depend on emission pathways and on parameterised processes such as clouds and convection. Regional detail and changes in rare extremes carry wide uncertainty.
How are results checked?
Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.
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?
ئەو canonical method page lists every platform that applies it.
Reportsبەشداربە

لەم لاپەڕەیەوە بەڵگە پێشکەش بکە.

Reports 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.

Global Risks Allianceمەترسیی داراییی کەشوهەوا و سروشتئامادەیی دارایی و بیمەسیناریۆ و تاقیکردنەوەی گوشار
مەترسیی داراییی کەشوهەوا و سروشت

Bring an exposure or capital question to the Alliance.

زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.