Detection and attribution of change
Observed trends are compared with model simulations with and without human influence to judge whether a change is detectable and attributable, with confidence stated in calibrated language.
GCRI · Avhewa û metirsî
Climate and atmospheric science is the core science this platform stewards for the network. It explains how energy, water and carbon move through the climate system, why extremes change as the world warms, and how confident each statement can be, using the assessed language of the IPCC.
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 pergalan. In climate and hazards and disaster and crisis, 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.
Observed trends are compared with model simulations with and without human influence to judge whether a change is detectable and attributable, with confidence stated in calibrated language.
The probability or intensity of a specific event is compared between the current climate and a counterfactual without warming, using observations and models with documented protocols.
Models are evaluated on the physical processes that drive regional extremes, such as blocking or monsoon onset, before their projections are used.
Daytime surface heat, rain and marine heat across the world, from NASA GIBS. Each layer carries its own date.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
Nîşanên avhewa, ji bo vê rûpelê
Klavye, dema ku nexşe di fokusê de ye
Ctrl an ⌘ bigire û bizivirîne da ku nêzîk bikî
Ya herî dawî ya heyî
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Wêneyên herî nû yên NASA tê barkirin.
Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.
Nîşanên avhewa, li ser cîhanê hatine çarçovekirin.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.
Qat û dîrok
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.
| Dane | Rol | Nîşan |
|---|---|---|
| ERA5 reanalysis | Consistent historical fields | MODELKIRÎ |
| HadCRUT5 and other observational datasets | Observed temperature trends | ÇAVDÊRÎKIRÎ |
| CMIP6 historical and natural-only experiments | Attribution counterfactuals | MODELKIRÎ |
| Station records from national services | Local evaluation | ÇAVDÊRÎKIRÎ |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Climate and hazards · Climate science for hazards · Run R-3858
held-out period
| T+2 | 0.15 | 0.28 | 0.29 | Skilful |
| T+4 | 0.32 | 0.22 | 0.13 | Marginal |
| T+6 | 0.21 | 0.22 | 0.16 | Marginal |
| T+8 | 0.28 | 0.09 | 0.38 | Skilful |
Models are evaluated against observed climatology, historical trends and paleoclimate records. Multi-model comparison and process-based diagnostics expose structural differences.
| Kontrol bikin | How it is done |
|---|---|
| Multi-dataset comparison | Findings are tested against several observational products before they are described |
| Calibrated confidence | Statements carry IPCC-style confidence and likelihood terms tied to evidence and agreement |
| Model fitness | Models used for attribution must reproduce the relevant process and statistics in the historical period |
Projections depend on emission pathways and on parameterised processes such as clouds and convection. Regional detail and changes in rare extremes carry wide uncertainty.
Du stok, zext û kapasîteya adaptasyonê, bi xelekeyeke mezinbûnê ya xurtker, bersiveke hevsengiyê ya dereng û zirarê dema ku zext ji kapasîteyê derbas dibe têne girêdan; li derveyî sînor pergal dikare biguhere. Modela fêrkirinê bi nirxên nimûneyî yên diyarkirî, ne pêşbînî.
Kontrol
Xwendin
| Sal | Zextê | Kapasîte | Hatî dîtin |
|---|---|---|---|
| 0 | 20.0 | 50.0 | 20.0 |
| 4 | 23.3 | 44.9 | 21.2 |
| 8 | 27.2 | 42.2 | 24.0 |
| 12 | 31.7 | 42.3 | 27.7 |
| 16 | 36.8 | 45.5 | 32.2 |
| 20 | 42.3 | 51.5 | 37.2 |
| 24 | 47.9 | 60.3 | 42.6 |
| 28 | 53.2 | 71.3 | 48.0 |
| 32 | 57.8 | 84.3 | 53.1 |
| 36 | 66.4 | 98.4 | 58.4 |
| 40 | 82.7 | 115.9 | 69.7 |
| 44 | 97.8 | 139.7 | 83.8 |
| 48 | 109.1 | 169.4 | 97.3 |
No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.
Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium
Assembled from the Nexus Standards area profile Standardên xetera avhewa: the hazards it names, the pergalan and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
Metirsî
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-1 Çavdêrxaneya UNI û kataloga berheman (rêzimana v0.2: beşên qad, sektor, herêm û jîngehê)NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)NS-3b Profîla metadata ya daneset û berheman (STAC, DCAT, PROV-O)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NS-14 Lihevhatin û nexşeya li standardên derveyîNRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)NRS-H62 Malbata metirsiyê: Bûyerên tevhev û pir-metirsî (NHS-1 sys.compound)NRS-H71 Malbata metirsiyê: Felaketên kozmîk û yên dema kûr (NHS-1 planet.deep-time)NRS-H79 Malbata metirsiyê: Krîzên tenduristiya derûnî (NHS-1 health.mental)NRS-H75 Malbata metirsiyê: Nexweşiyên hesas li hember avhewayê (NHS-1 health.climate-sensitive)NRS-H7 Malbata metirsiyê: Anomaliyên gera mezin (NHS-1 atmo.climate-mode)Çavdêrî
Erdnîgariya mînakê
Climate and Hazards stewards climate and atmospheric science for the Consortium and reviews how it is applied across platforms.
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
How far the outlook for climate science for hazards could spread, shown as ranges rather than a single line.
rêzeya Pergalên Stratejîk 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.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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