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 · Risiko Keuangan Iklim dan Alam
Keuangan spasialTempat modal bertemu bahaya, keterpaparan, dan transisi
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 Sistem. 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 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.
Tempat mana yang mendorong kerugian pada tahun yang parah, dan seberapa jauh kerugian itu menjangkau reasuransi. Nilai rancangan ilustratif.
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 register sumber.
| Data | Peran | Label |
|---|---|---|
| CMIP6 projections | Future hazard | DIMODELKAN |
| ERA5 reanalysis | Historical baseline | DIMODELKAN |
| IPCC assessments | Assessed confidence | DILAPORKAN |
Layar yang akan digunakan sebuah tim untuk mengikuti metode ini: ukuran, status, dan keputusannya. Nama adalah contoh dan nilai bersifat ilustratif.
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.
| Pemeriksaan | Cara pelaksanaannya |
|---|---|
| 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.
Kendali
Pembacaan
| Tahun | Transisi teratur (% nilai) | Transisi tertunda dan tidak teratur (% nilai) | Kebijakan saat ini (% nilai) |
|---|---|---|---|
| 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:
Di seluruh enam pilar, dipimpin oleh Nexus Consortium
Disusun dari profil bidang Nexus Standards profil area Standar risiko iklim: guncangan yang disebutkannya, Sistem dan sektor yang menanggung kerugian, kontrol yang meredamnya, dan data yang mengamatinya. Pilih guncangan pemicu dan telusuri efek berantainya langkah demi langkah untuk melihat eksposur mana yang dicapainya dan di mana kerugian dapat terkonsentrasi. Tampilan Peta menempatkan simulasi pada geografi contoh dengan data terbuka. Setiap bobot adalah asumsi yang dinyatakan. Sebuah latihan, bukan proyeksi, valuasi, peringkat, atau saran investasi. Untuk memodelkan tempat pilihan Anda sendiri, buka System Builder.
Bahaya
Sistem dan keterkaitan
Kendali
NS-0 Anggaran dasar dan prinsipNS-1 Observatory UNI and the artefact catalogue (grammar v0.2: domain, sector, region and environment segments)NS-3 UNI catatan risiko (tata bahasa, pemetaan ke sistem lama, kewenangan alokasi)NS-3b Profil metadata dataset dan produk (STAC, DCAT, PROV-O)NS-9 UNI kontekstual (penerapan, instans, instans program)NS-11 Verifikasi dan pemantauan (bukti, atestasi, pengamatan kesesuaian zero trust)NS-14 Kesesuaian dan pemetaan silang ke standar eksternalNRS-H65 Keluarga bahaya: Pelampauan batas planet (NHS-1 planet.boundary)NRS-H62 Keluarga bahaya: Peristiwa majemuk dan multibahaya (NHS-1 sys.compound)NRS-H71 Keluarga bahaya: Bencana zaman purba dan kosmik (NHS-1 planet.deep-time)NRS-H79 Keluarga bahaya: Krisis kesehatan jiwa (NHS-1 health.mental)NRS-H75 Keluarga bahaya: Penyakit yang peka iklim (NHS-1 health.climate-sensitive)NRS-H7 Keluarga bahaya: Anomali sirkulasi skala besar (NHS-1 atmo.climate-mode)Pengamatan
Contoh geografi
Iklim dan Bahaya 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.
Tanda tangan
Keanekaragaman hayati dan mitranya
Keanekaragaman hayati memberi penyerbukan dan tanah kepada pangan (0,6), pengaturan daerah tangkapan kepada air (0,5), dan limpahan zoonosis serta obat kepada kesehatan (0,4).
W · E · I · F · H · B
Tampilan eksposur, kerugian, skenario, dan modal yang akan diminta oleh pejabat risiko, otoritas pengawas, atau kementerian keuangan, beserta kerangka pelaporan yang mereka gunakan. Strukturnya mengikuti praktik pengawasan dan aktuaria. Nilai bersifat ilustratif: tidak pernah merupakan harga, peringkat, atau saran.
How Climate and atmospheric science at Climate and Nature Financial Risk could be stressed under the scenario families central banks and supervisors use.
| Kelompok skenario | Risiko transisi | Risiko fisik | Apa yang ditanyakan uji tekanan |
|---|---|---|---|
| Teratur | Kebijakan dini dan bertahap | Lebih rendah | Dapatkah portofolio menyerap penetapan ulang harga yang bertahap? |
| Tidak teratur | Kebijakan terlambat dan mendadak | Rendah hingga sedang | Apa yang rusak saat terjadi penetapan ulang harga mendadak dan migrasi kredit? |
| Dunia rumah kaca | Kebijakan terbatas | Tinggi dan meningkat | Di mana kerugian fisik terkonsentrasi dalam agunan dan asuransi? |
Laporan 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.
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