Reports · GCRI · Established
Climate and hazards · Disaster and crisis
Climate and Hazards in Reports
Physical climate risks, weather extremes and hazard interactions grounded in observed and modelled evidence. This page shows the series it feeds, the evidence behind it and how to contribute.
- Series
- 3
- Systems
- 4
- Methods
- 10
01In brief
What this area brings to the editions.
Physical climate risks, weather extremes and hazard interactions grounded in observed and modelled evidence.
02Field
Climate and Hazards on the map.
The interactive map needs JavaScript; the layer list and sources are below.
Layers 3
Climate signals, for this page
About this layer
- Evidence
- Observed (persistent cloud still leaves gaps)
- Source
- VIIRS NOAA-20 Level 3, 8-day (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- 8-day; Satellite 8-day composite; persistent cloud still leaves gaps
- Newest at build
- 2026-09-14
- Resolution
- about 1 km grid
- Uncertainty
- Satellite skin temperature of the ground over the 8 days ending on the date shown, a heat exposure indicator; not air temperature, heat index or a heat warning.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- GPM IMERG (NASA GES DISC)
- Provider
- NASA GES DISC
- Licence
- NASA open data
- Vintage
- daily; Satellite estimate, near real time
- Newest at build
- 2026-10-12
- Resolution
- about 2 km grid
- Uncertainty
- Satellite estimate, near real time. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Estimated
- Source
- Gridded Population of the World v4.11 (NASA SEDAC (CIESIN, Columbia University))
- Provider
- NASA SEDAC (CIESIN, Columbia University)
- Licence
- CC BY 4.0
- Vintage
- static product; Census-based estimate, static (2020)
- Resolution
- about 1 km grid
- Uncertainty
- Census-based estimate of people per square kilometre in 2020, shown as exposure context; not a count of people affected by any hazard.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- VIIRS NOAA-20 corrected reflectance (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite image
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite image. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed
- Source
- GHRSST MUR25 (NASA JPL PO.DAAC)
- Provider
- NASA JPL PO.DAAC
- Licence
- NASA open data
- Vintage
- daily; Satellite analysis
- Newest at build
- 2026-10-12
- Resolution
- about 2 km grid
- Uncertainty
- Satellite analysis of how far sea temperature departs from its usual value for the date shown; a marine heat indicator, not a coral bleaching alert.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
About this layer
- Evidence
- Observed (clouds leave gaps)
- Source
- VIIRS Global Flood Product (NASA LANCE)
- Provider
- NASA LANCE
- Licence
- NASA open data
- Vintage
- daily; Satellite detection; clouds leave gaps
- Newest at build
- 2026-10-14
- Resolution
- about 250 m grid
- Uncertainty
- Satellite detection; clouds leave gaps. Satellite or model raster as the provider publishes it. Clouds, swath gaps and retrieval error leave gaps and noise; values are indicators, not measurements at a place.
- Reached through
- gibs.earthdata.nasa.gov, only after you allow the live map
Keyboard, with the map focused
Hold Ctrl or ⌘ and scroll to zoom
Latest available
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Loading the latest NASA imagery.
Drag to move. Ctrl or ⌘ and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.
Climate signals, framed on the world.Satellite and model products as NASA publishes them, each with its own date. They are indicators, not assessments of any place.
Data: NASA GIBS · ASTER GDEM · Blue Marble · © OpenStreetMap contributors · Natural Earth · NASA EONET · NASA JPL OPERA DIST-ALERT · NASA AIRS
Sources and licences
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- GPM IMERG precipitation, NASA Precipitation Processing System; distributed by the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). doi:10.7927/H49C6VHW. CC BY 4.0
- GHRSST Level 4 MUR analyses, NASA Jet Propulsion Laboratory; distributed by the NASA Physical Oceanography DAAC (PO.DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). Cite as: NASA/METI/AIST/Japan Spacesystems and U.S./Japan ASTER Science Team (2019). ASTER Global Digital Elevation Model V003. doi:10.5067/ASTER/ASTGTM.003. NASA open data
- Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. Public domain
- © OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). ODbL
- Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). NASA open data
- Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, © OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.
- Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, © MapLibre contributors.
- Live events: NASA Earth Observatory Natural Event Tracker (EONET); events are indicative and keep their original source links.
- Live: NASA EONET Events are indicative, not authority warnings.
- Observed (EO): NASA JPL OPERA DIST-ALERT (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Observed (EO): NASA AIRS. We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- NASA GIBS: We acknowledge the use of imagery provided by services from NASA’s Global Imagery Browse Services (GIBS), part of NASA’s Earth Science Data and Information System (ESDIS).
- Air quality forecast, 5 days, PM2.5 (CAMS via Open-Meteo): Contains modified Copernicus Atmosphere Monitoring Service information 2026.
- Past year, daily temperature (ERA5 via Open-Meteo): Contains modified Copernicus Climate Change Service information 2026.
- Past year, daily temperature and sunshine (NASA POWER): These data were obtained from the NASA Langley Research Center (LaRC) POWER Project funded through the NASA Earth Science/Applied Science Program..
- Weather data by Open-Meteo.com (https://open-meteo.com/), licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
- Optional layers (23 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.
Layers and dates
- Land surface temperature, day, 8-day composite: VIIRS NOAA-20 Level 3, 8-day, NASA LANCE · 14 Sep 2026
- Precipitation rate, daily mean: GPM IMERG, NASA GES DISC · 12 Oct 2026
- Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 · static
- True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE · 13 Oct 2026
- Sea surface temperature anomaly: GHRSST MUR25, NASA JPL PO.DAAC · 12 Oct 2026
- Flood water, 3-day composite: VIIRS Global Flood Product, NASA LANCE · 14 Oct 2026
03In the editions
9 findings of the drafted editions that bear on Climate and Hazards.
Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.
- AREUnited Arab EmiratesNet greenhouse-gas emissions were 195.2 Mt CO₂e in 2022 including land use, 0.8% below 2019; energy gave 164.1 Mt, industrial processes 29.6 Mt and waste 5.6 Mt, and land use removed 6.6 Mt.REPORTED · COUNTRY-ARE-CLI-001
- ARGArgentinaThe national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.REPORTED · COUNTRY-ARG-CLI-001
- AUAfrican UnionGDP was USD 2.21 trillion in 2025 and grew 4.1%, with GDP per person of USD 1,673 in current terms.REPORTED · COUNTRY-AU-FIN-009
- AUSAustraliaGreenhouse-gas emissions excluding land use were 591.5 Mt CO₂e in 2024, against 605.2 Mt in 2019 and 579.5 Mt in 2020.REPORTED · COUNTRY-AUS-CLI-001
- BRABrazilGross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.REPORTED · COUNTRY-BRA-CLI-001
- CHESwitzerlandGreenhouse-gas emissions were 40.1 MtCO₂e in 2024, 27.3% below 1990 and 22.3% below when land use is included; transport emitted 13.4 MtCO₂e and international aviation and maritime a further 5.5 MtCO₂e outside the 2030 target.REPORTED · COUNTRY-CHE-CLI-001
- CHNChinaThe national mean temperature was 10.9 °C in 2025, 1.0 °C above the 1991 to 2020 normal and tied with 2024 as the highest since 1951; hot days averaged 16.5, the most since 1961.REPORTED · COUNTRY-CHN-CLI-001
- EUEuropean UnionNet domestic greenhouse-gas emissions were 40% below 1990 in 2024 and 3% below 2023; on the 2030 target basis the cut was 37%.REPORTED · COUNTRY-EU-CLI-001
- GS-02Global EnergyEnergy-related CO2 emissions rose about 0.4% in 2025 to a record of more than 38 Gt.REPORTED · SECTOR-ENERGY-GLOBAL-CLI-004
04Evidence path
From Foundry evidence to the series.
The evidence, step by step, from the systems this area reads to the series it feeds.
How Climate and Hazards reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.
| Step | What happens | Source |
|---|---|---|
| 01 What it reads | Climate and Hazards reads NXS-EOP (earth observation and digital twins) and NXS-EWS (multi-hazard monitoring and warning): governed sources with their releases, never a value without its source. | |
| 02 How it reads them | Climate and atmospheric science and Earth and geophysical science turn the evidence into findings, with assumptions and limits stated beside each value. | |
| 03 The cut is sealed | Each quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt. | |
| 04 The series it feeds | The cut feeds Global Systems Risk and Resilience and Observatory Signal, from the Baseline Edition 2026 into the quarterly series. | |
| 05 Who decides | Decisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it. |
A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Climate and Hazards in Reports (2026); Climate and Hazards home (2026).
05Series
The series it feeds, and what backs each.
| Series | Foundry systems it draws on | Academy disciplines | Series home |
|---|---|---|---|
| Global Systems Risk and Resilience | The Global Risks Index (NXS-GRX) coupled-system cascades and the fused indicator series behind a global synthesis NXS-DSS (decision cases and deliberation) the cross-field scenario sets an edition compares | Systemic, compound and cascading risk Water-energy-food-ecosystems nexus Global catastrophic risks | Global Systems Risk and Resilience series home |
| Observatory Signal | NXS-OPS (instruments, sensors and calibration) calibrated primary observations and their uncertainty budgets NXS-EWS whether an anomaly was forecast and how well NXS-EOP observational change products that corroborate a signal NXS-SIG spectrum and timing anomalies that affect dependent services | Geospatial analysis, Earth observation and GeoAI Climate science, variability and change Space systems, space weather and navigation | Observatory Signal series home |
| Scenario and Stress-Test | NXS-DSS combined scenario sets and the option appraisals run on them NXS-GRX the cascade paths a stress test follows | Scenario analysis and stress testing Uncertainty and decision making Systemic, compound and cascading risk | Scenario and Stress-Test series home |
06Backed by
The systems, methods and teaching behind it.
- NXS-EOPNXS-EOPNXS-EOPRooms: Acquisition, Change.
- NXS-EWSNXS-EWSNXS-EWSRooms: Forecast Verification, Warning Desk.
- NXS-GRXNXS-GRXNXS-GRXNXS-GRX
- NXS-COR (compute, nodes and runtimes)NXS-CORNXS-CORNXS-COR
- STEM methodSTEM CommonsClimate and atmospheric scienceThe canonical method page, with its limits.
- STEM methodSTEM CommonsEarth and geophysical scienceThe canonical method page, with its limits.
- STEM methodSTEM CommonsForecasting and time-series analysisThe canonical method page, with its limits.
- STEM methodSTEM CommonsExtreme value theory and tail riskThe canonical method page, with its limits.
- STEM methodSTEM CommonsEarth observation and remote sensingThe canonical method page, with its limits.
- STEM methodSTEM CommonsSpatial statistics and geostatisticsThe canonical method page, with its limits.
- Academy disciplineRisk AcademyClimate science, variability and changeFaculty of Earth and Environmental Sciences
- Academy disciplineRisk AcademyEarthquakes, volcanoes, tsunamis and landslidesFaculty of Hazards, Disasters and Resilience
- Academy disciplineRisk AcademyFloods, storms and tropical cyclonesFaculty of Hazards, Disasters and Resilience
- Academy disciplineRisk AcademyHeat, drought and wildfireFaculty of Hazards, Disasters and Resilience
- Academy disciplineRisk AcademyEarly warning and anticipatory actionFaculty of Hazards, Disasters and Resilience
- Academy disciplineRisk AcademySystemic, compound and cascading riskFaculty of Systems and Nexus Studies
- FieldGCRIClimate and hazardsThe field across science, governance and finance.
- FieldGCRIDisaster and crisisThe field across science, governance and finance.
07Across the Consortium
Where the same subject is reported elsewhere.
- Counterpart · GRFReportsDiplomacy NexusShared: Climate and hazards.
- Counterpart · GRFReportsClimate and Nature GovernanceShared: Climate and hazards.
- Counterpart · GRFReportsDisaster and Crisis GovernanceShared: Disaster and crisis.
- Counterpart · GRAReportsInsurance NexusShared: Climate and hazards.
- Counterpart · GRAReportsBanking NexusShared: Climate and hazards.
- Counterpart · GRAReportsAsset Management NexusShared: Climate and hazards.
- Counterpart · GRAReportsReinsurance and CatastropheShared: Climate and hazards, Disaster and crisis.
- Counterpart · GRAReportsDisaster Risk FinanceShared: Disaster and crisis.
- Counterpart · GRAReportsClimate and Nature Financial RiskShared: Climate and hazards.
- Standards areaNexus StandardsGeophysical hazard standardsHazards and disaster risk reduction. Parts NS-0, NS-3, NS-3b, NS-11.
- Standards areaNexus StandardsHydrometeorological hazard standardsHazards and disaster risk reduction. Parts NS-0, NS-3, NS-3b, NS-11.
- Standards areaNexus StandardsBiological hazard standardsHealth and biosecurity. Parts NS-0, NS-3, NS-11.
- Standards areaNexus StandardsTechnological and industrial hazard standardsEnergy and critical infrastructure. Parts NS-0, NS-3, NS-9, NS-11.
- Standards areaNexus StandardsExtraterrestrial hazard standardsHazards and disaster risk reduction. Parts NS-0, NS-3, NS-3b, NS-11.
- Standards areaNexus StandardsEnvironmental degradation hazard standardsClimate and Earth systems. Parts NS-0, NS-3, NS-3b, NS-9, NS-11.
09Contribute
Contribute on Climate and Hazards.
Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.
Contribution composer
Write a contribution the editor can act on.
Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.
Your email opens with the subject and a template already filled in for GW-GCRI.
- Evidence
- Correction
- Case study
- Analysis or method
- Peer review
- Translation
- Profile input
Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.
10Open science
Open science for Climate and Hazards.
How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.
Climate and Hazards’s open record
- Area
- Climate and Hazards
- Feeds
- Global Systems Risk and Resilience, Observatory Signal, Scenario and Stress-Test
- Record
- A UNI for every accepted contribution; cited with its DOI in the edition that uses it
- Links
- isSupplementTo the edition it informs; isNewVersionOf its earlier version
- Licence
- CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0
Credit and identity
- ORCID
- Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
- ROR
- Your organisation by its ROR identifier, never by a typed name alone
- CRediT
- Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
- Account
- None needed to contribute; never a password
Find and follow
Search the open indexes for Climate and Hazards; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.
Mirrors and harvest
The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.
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}11Latest
Releases for this area.
Releases tagged to this area appear here once released.
ReportsContribute
Send evidence on Climate and Hazards.
Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Systems Evidence desk. 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. Sent to the wrong desk, it is forwarded, not refused.
GCRI Systems Evidence deskClimate and HazardsGlobal Systems Risk and ResilienceObservatory SignalScenario and Stress-Test
- EmailGateway GW-GCRISend it from this pageEvidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.
- ZenodoOpen depositDeposit it and submit to the communityPublish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.
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