Multi-Source Intelligence for Climate Risk & Resilience Decision-Making

Physical Climate Monitoring

Real-time and historical climate data integration from global observation networks. Temperature anomalies, precipitation patterns, sea level monitoring, cryosphere tracking, and extreme weather event detection with trend analysis and attribution science.

Climate Projections & Scenarios

CMIP6 model ensemble integration across SSP scenarios (SSP1-2.6 to SSP5-8.5). Downscaled regional projections, uncertainty quantification, and scenario-based risk assessment aligned with IPCC AR6 science and Paris Agreement temperature targets.

Extreme Weather Intelligence

Tropical cyclone tracking, flood forecasting, drought monitoring (SPEI, PDSI, SPI), heatwave early warning, wildfire risk assessment, and compound event analysis with attribution to anthropogenic climate change.

Sea Level & Coastal Intelligence

Satellite altimetry integration (Sentinel-6, Jason-3), ice sheet mass balance (GRACE-FO), thermal expansion tracking, storm surge modeling, coastal erosion monitoring, and inundation scenario mapping for infrastructure exposure.

Carbon & Emissions Intelligence

Global Carbon Project integration, GHG satellite monitoring (OCO-2, TROPOMI), national inventory analysis, sectoral emissions tracking, carbon budget assessment, and net-zero pathway modeling aligned with NDC commitments.

Climate Finance & Disclosure

TCFD-aligned physical and transition risk assessment, TNFD nature-related disclosure support, EU Taxonomy alignment, climate stress testing for financial portfolios, and stranded asset analysis across carbon-intensive sectors.

Collection & Ingest

Automated retrieval from satellite archives, reanalysis servers, CMIP repositories, and observational networks. Format standardization, metadata extraction, and catalog registration.

Quality Control

Automated QC algorithms, outlier detection, homogeneity testing, bias assessment, and uncertainty quantification. WMO QC standards and GCOS ECV requirements.

Processing & Analysis

Regridding, bias correction, downscaling, ensemble processing, indicator calculation, and multi-source fusion. Climate index derivation and hazard metric computation.

Dissemination

API endpoints, dashboard integration, report generation, and alert distribution. TLP classification, access controls, and stakeholder-specific product customization.

Climate Monitoring

Continuous integration of satellite, ground station, ocean buoy, and reanalysis data streams. Anomaly detection, trend analysis, and climate indicator dashboards with automated quality control and gap filling.

Projection Analysis

CMIP6 model ensemble processing, SSP scenario comparison, regional downscaling via CORDEX, bias correction, and uncertainty quantification across time horizons (2030, 2050, 2100).

Hazard Assessment

Multi-hazard analysis covering heat, drought, flood, storm, wildfire, and sea level rise. Return period estimation, compound event modeling, and climate change signal extraction.

Impact Modeling

Sectoral impact assessment for agriculture, water, energy, health, infrastructure, and ecosystems. Damage functions, economic valuation, and cascading impact analysis.

Exposure Mapping

Infrastructure, population, and asset exposure mapping overlaid with hazard layers. Supply chain vulnerability, critical infrastructure interdependencies, and geographic risk concentration.

Adaptation Intelligence

Adaptation option assessment, cost-benefit analysis, maladaptation risk identification, and nature-based solutions evaluation aligned with national adaptation plans and resilience frameworks.

Transition Intelligence

Carbon pricing tracking, policy landscape analysis, technology transition pathways, stranded asset risk, and net-zero alignment assessment for portfolio and corporate strategy.

Disclosure Support

TCFD scenario analysis, TNFD LEAP assessment, EU Taxonomy alignment, CDP response support, and climate risk reporting aligned with emerging mandatory disclosure requirements.

Extreme Heat Events

Heatwave frequency and intensity, wet-bulb temperature thresholds, heat mortality risk, cooling degree day projections, labor productivity impacts, and urban heat island amplification.

Tropical Cyclones

Hurricane/typhoon tracking (IBTrACS), intensity projections, landfall probability, storm surge modeling, rainfall-induced flooding, and infrastructure damage assessment.

Flooding & Precipitation

Riverine flood forecasting (GloFAS), flash flood risk, pluvial flooding, extreme precipitation events, IDF curve shifts, and compound coastal-fluvial flooding.

Wildfire Risk

Fire weather indices (FWI), active fire detection (FIRMS), burn area mapping, smoke transport, WUI exposure, and fire season extension under climate change.

Sea Level Rise

Mean sea level projections, ice sheet contribution uncertainty, coastal erosion, saltwater intrusion, permanent inundation mapping, and managed retreat planning.

Drought & Water Stress

Meteorological drought (SPI), agricultural drought (SPEI), hydrological drought, groundwater depletion, water stress ratios, and aridification trends.

Temperature Shifts

Mean temperature increase, growing season changes, frost-free period extension, Köppen climate zone migration, and thermal comfort thresholds.

Policy & Regulatory

Carbon pricing trajectories, emissions regulations, fossil fuel phase-out policies, building efficiency standards, and disclosure mandates across jurisdictions.

Technology Disruption

Renewable energy cost curves, EV adoption trajectories, battery storage economics, hydrogen economy development, and clean technology substitution risk.

Market & Reputation

Stranded asset risk, demand shift for carbon-intensive products, investor sentiment, ESG ratings impact, and climate litigation exposure.

Tipping Points

Ice sheet collapse thresholds, AMOC slowdown, Amazon dieback, permafrost carbon release, monsoon disruption, and cascading Earth system feedbacks.

Cascading Impacts

Supply chain climate disruption, food system shocks, climate-conflict nexus, climate migration, financial contagion, and critical infrastructure interdependencies.

Membership

Individual analyst and team access to CLIMATEINT data feeds, analytical tools, collaboration networks, training resources, and climate intelligence community.

Partnership

Strategic collaboration for national met services, research institutions, and international organizations—joint capability development, data sharing, co-branded products.

Sponsorship

Fund specific R&D initiatives, climate science quests, adaptation bounties, or infrastructure development aligned with sponsor climate priorities.

Fellowship

Embedded expert programs for climate scientists, risk analysts, and adaptation specialists contributing to and advancing CLIMATEINT capabilities.

Planetary-scale analysis, petabyte catalog, JavaScript/Python API, cloud processing

ERA5 reanalysis, seasonal forecasts, climate projections, API toolbox

Distributed Active Archive Centers, CMR search, Harmony subsetting

Cloud-native geoscience, xarray/dask, STAC catalogs, Zarr stores

On-demand processing, drought monitoring, agricultural analytics

Desktop GIS, raster processing, format conversion, spatial analysis

Multi-dimensional arrays, CF conventions, lazy loading, parallel compute

Climate data operators, NetCDF processing, regridding, statistics

Peer Validation Network

Structured expert review for climate projections, impact assessments, and risk characterizations with documented reviewer expertise and consensus tracking.

Real-Time Observation QC

Crowdsourced quality control for weather station data, citizen science observations, and local impact reports with automated outlier detection.

Model Evaluation Community

Collaborative assessment of climate model performance, emergent constraints, and regional skill using standardized evaluation frameworks (ESMValTool).

Impact Verification

Ground-truthing of satellite-derived damage assessments, crop yield estimates, and infrastructure impact analysis through local expert networks.

Built Environment

Building stock vulnerability, urban heat island, cooling/heating demand projections, flood risk zoning, and building code climate adjustment requirements.

Energy Systems

Renewable resource assessment (solar, wind, hydro), grid resilience to extremes, thermal plant efficiency, transmission capacity, and demand forecasting under climate change.

Water Resources

River basin hydrology, groundwater recharge, water stress ratios, reservoir operations, irrigation demand, and drought trigger indices for water management.

Agricultural Systems

Crop suitability shifts, growing degree days, frost risk, evapotranspiration, yield projections, and parametric insurance trigger calibration.

Public Health

Heat-health early warning, air quality projections, vector-borne disease range shifts, allergen seasons, and climate-sensitive disease burden assessment.

Transportation

Road/rail heat stress, aviation weather, port operations, inland waterways, and supply chain corridor climate vulnerability assessment.

Requirements Definition

Climate risk intelligence requirements aligned with decision timescales, spatial resolution needs, and uncertainty tolerance of specific stakeholder contexts.

Multi-Source Fusion

Satellite, in-situ, model, and socioeconomic data integration with consistent uncertainty propagation and explicit treatment of data gaps.

Ensemble Analysis

Multi-model ensemble processing with model independence weighting, outlier treatment, and calibrated probability distribution generation.

Risk Communication

IPCC uncertainty language (virtually certain to exceptionally unlikely), calibrated confidence statements, and decision-relevant framing.

What satellite data sources does CLIMATEINT integrate?

We integrate the full Copernicus Sentinel constellation (Sentinel-1 through Sentinel-6), NASA Earth science missions (MODIS, Landsat, GRACE-FO, OCO-2, ICESat-2), geostationary meteorological satellites (GOES, Himawari, Meteosat), and specialized instruments like VIIRS, TROPOMI, and CryoSat-2. All data is processed through standardized pipelines with quality control and gap-filling protocols.

How does CLIMATEINT handle climate model uncertainty?

We process the full CMIP6 model ensemble across SSP scenarios, applying model independence weighting and performance-based subsetting. Uncertainty is quantified through inter-model spread, scenario range, and internal variability. All products include confidence intervals and explicit uncertainty communication aligned with IPCC AR6 calibrated language.

How does CLIMATEINT support TCFD scenario analysis?

We provide complete TCFD-aligned scenario analysis covering both physical and transition risks. Physical risk assessment includes asset-level hazard exposure across multiple scenarios and time horizons. Transition risk covers policy, technology, market, and reputation dimensions. Products include scenario narratives, quantitative metrics, and disclosure-ready reporting templates aligned with ISSB S2 requirements.

What regional downscaling capabilities are available?

We integrate CORDEX regional climate model outputs at ~25km resolution for all major regions, supplemented by statistical downscaling for higher-resolution applications. Bias correction uses quantile mapping and delta methods against ERA5 and observational datasets. Custom downscaling for specific locations is available through our bespoke analysis services.

How does CLIMATEINT address compound and cascading risks?

We model compound events where multiple hazards co-occur (e.g., heat-drought, coastal-fluvial flooding) using copula-based statistical methods and physically-based approaches. Cascading risk analysis covers infrastructure interdependencies, supply chain propagation, and systemic transmission pathways. Tipping point interactions are assessed using Earth system model outputs and expert elicitation.

What is GCRI's role in climate intelligence?

The Global Centre for Risk and Innovation (GCRI-US/Canada), Global Risks Forum (GRF-Switzerland), and Global Risks Alliance (GRA-US) collectively develop and maintain CLIMATEINT as non-profit climate intelligence infrastructure. We operate as system integrators—not vendors—enabling open collaboration among climate scientists, risk analysts, and adaptation practitioners worldwide under the UNOSINT framework.

How does CLIMATEINT handle extreme event attribution?

We implement established detection and attribution methodologies including probability ratio calculation, fraction of attributable risk, and storyline approaches. Analysis uses climate model ensembles with and without anthropogenic forcing to quantify how climate change altered the likelihood and intensity of specific extreme events. Results follow World Weather Attribution standards and IPCC uncertainty guidance.

What time horizons does CLIMATEINT cover?

We provide historical analysis (1850-present via reanalysis), near-term projections (to 2030 via initialized prediction and climate model), mid-century (2050), and end-century (2100) scenarios. Seasonal-to-decadal prediction is integrated from C3S for operational planning horizons. All projections include multiple SSP scenarios to span the uncertainty in future emissions pathways.

How does CLIMATEINT integrate AI/ML weather models?

We incorporate outputs from neural network weather models (GraphCast, Pangu-Weather, FourCastNet) for medium-range forecasting applications, alongside traditional NWP from ECMWF, NCEP, and other operational centers. ML approaches are also applied for statistical downscaling, extreme event detection, and climate model emulation. All AI/ML outputs undergo validation against physics-based references and observational benchmarks.

What quality control processes are applied to climate data?

Data ingestion includes automated QC following WMO standards—range checks, spatial consistency, temporal continuity, and homogenization for station relocations. Satellite products undergo radiometric calibration validation, geometric correction, and cross-sensor intercalibration (FIDUCEO). Model outputs are assessed for historical skill, regional bias patterns, and physical plausibility before inclusion in analysis products.

How does CLIMATEINT address tipping point risks?

We monitor indicators of critical slowing down and resilience metrics for major Earth system tipping elements—ice sheets, AMOC, permafrost, Amazon, coral reefs. Analysis draws on Earth system model outputs, observational time series, and expert elicitation to characterize threshold uncertainties and potential cascade interactions. Products include tipping point risk summaries for scenario analysis and long-term planning.

What outputs are available for parametric insurance applications?

We provide index calibration for parametric triggers across multiple perils—rainfall accumulation, drought indices (SPI, SPEI), temperature thresholds, wind speed, and sea level. Historical baseline analysis enables premium calibration, while climate projections inform climate-adjusted pricing. Data integration with satellite archives supports transparent, auditable trigger verification for claims processing.

How is CLIMATEINT data integrated with existing enterprise systems?

We provide REST APIs, Python/R client libraries, and bulk data exports in industry-standard formats (NetCDF, GeoJSON, CSV, Parquet). Integration connectors are available for common GIS platforms, business intelligence tools, and risk management systems. Custom webhooks support real-time alert integration. Enterprise deployments can include on-premises components for air-gapped environments with sensitive data requirements.