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.
GRA · Climate and Nature Financial Risk
Spatial financeWhere capital meets hazard, exposure and transition
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.
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.
Projections of flood, heat and drought at asset locations are drawn from model ensembles for several warming levels, with the spread shown for each.
Low-likelihood high-impact outcomes assessed by the IPCC are explained so that institutions can include them in severe scenarios.
Physical variables in NGFS scenarios are traced back to their climate model sources, so users know what they represent.
Which places drive loss in a severe year, and how far it reaches into reinsurance. Illustrative design values.
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.
| داتا | ڕۆڵ | ناونیشان |
|---|---|---|
| CMIP6 projections | Future hazard | مۆدێلکراو |
| ERA5 reanalysis | Historical baseline | مۆدێلکراو |
| IPCC assessments | Assessed confidence | REPORTED |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Climate and nature financial risk · Climate and atmospheric science · Run R-0660
held-out period
| T+2 | 0.39 | 0.20 | 0.09 | Marginal |
| T+4 | 0.28 | 0.29 | 0.37 | Skilful |
| T+6 | 0.41 | 0.15 | 0.23 | Skilful |
| T+8 | 0.18 | 0.28 | 0.25 | Marginal |
Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.
| بپشکنە | How it is done |
|---|---|
| Ensemble spread | Results are shown across climate models |
| Downscaling validation | Local projections are compared with observations |
| Confidence language | IPCC 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.
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
خوێندنەوەکان
| ساڵ | Orderly 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 |
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:
لە ناو شەش کۆڵەکەکەدا، بە سەرپەرشتیی Nexus Consortium
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
سیستەم و بەستنەوەکان
کۆنترۆڵەکان
NS-0 دەستوور و بنەماکانNS-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 دەرەکیNRS-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
جوگرافیای نموونە
کەشوهەوا و مەترسیدەرەکان stewards climate and atmospheric science for the Consortium and reviews how it is applied across platforms.
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.
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
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.
How Climate and atmospheric science at Climate and Nature Financial Risk could be stressed under the scenario families central banks and supervisors use.
| Scenario family | Transition risk | Physical risk | What a stress test asks |
|---|---|---|---|
| Orderly | Early, gradual policy | نزم | Can the book absorb a steady repricing? |
| Disorderly | Late, abrupt policy | Lower to medium | What breaks under a sudden repricing and credit migration? |
| Hot house world | Limited policy | High and rising | Where do physical losses concentrate in collateral and insurance? |
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.
هەرگیز داتای کەسی، وردەکاریی هەستیاری ژێرخان یان هیچ شتێک مەنێرە کە مافی بڵاوکردنەوەت نییە. بەشدارییەک پێش بەکارهێنان پێداچوونەوەی بۆ دەکرێت؛ ناردنی ماف نابەخشێت بە نووسەرایەتی یان بەڕێوەبردنی ڕاگەیاندن، و پاڵپشتی دارایی هەرگیز دۆزینەوەیەک ناکڕێت.
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.
نەخشە، داتا و وێنەکانی ئەم ماڵپەڕە بۆ ناوەڕۆک و زانیاریی گشتی پیشان دراون. ئامۆژگاری، پێشبینی یان ئاگادارکردنەوە نین؛ سنوورەکانی زانیارییەکە لە ڕەتکردنەوەی بەرپرسیارێتی و ئاگاداریی داتادا دەستنیشان کراون.
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