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ECMWF

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uuid0007rka

Namestring
ECMWF
Legal namestring
European Centre for Medium-Range Weather Forecasts
Websiteurl
ecmwf.int
Company typeenum
Private
Founded yearint
1975
Descriptiontext

ECMWF (European Centre for Medium-Range Weather Forecasts) is an intergovernmental organization headquartered in Reading, United Kingdom, founded in 1975 and supported by 35 member states. Its core function is producing medium-range numerical weather predictions (forecasts up to approximately 15 days) for European meteorological services and downstream commercial and governmental users in aviation, agriculture, energy trading, insurance, and offshore wind. It also operates the European Union's Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS), delivering quality-assured climate and atmospheric data.

The technology stack is built on a hybrid physics-based and AI-enhanced architecture. The flagship HRES (High Resolution Ensemble System) is a physics-based NWP model that has been independently evaluated as consistently outperforming AI-only models on record-breaking extreme weather events. ECMWF complements HRES with AI weather prediction, integrating third-party models such as Google DeepMind's GraphCast and Huawei's Pangu-Weather alongside its own proprietary AI systems. It also operates the Destination Earth (DestinE) digital twin platform, which integrates atmospheric, ocean, wave, and turbine modeling and is used within Horizon Europe-funded consortia such as the Federated Digital Twins for Wind-Offshore (DTWO) project.

The business model is institutional rather than commercial. ECMWF is funded through mandatory contributions from its 35 member states, EU program contracts (notably Copernicus C3S and CAMS), and competitive research grants such as those under Horizon Europe. Pricing for data and services is not publicly disclosed. Distribution flows through national meteorological services in member states and through the Copernicus program, with a global open data policy broadening reach. The organization employs 251–500 staff and is governed collectively by its member states rather than by private shareholders.

Short descriptiontext

ECMWF is an intergovernmental organization supported by 35 member states that produces medium-range numerical weather forecasts and operates the EU's Copernicus Climate Change and Atmosphere Monitoring Services for aviation, agriculture, energy, insurance, and offshore wind sectors.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
251–500
akta.pro rankint
HeadquartersReading, United Kingdom
HQ citystring
Reading
HQ countrystring
United Kingdom
HQ regionstring
Europe
Markets served

Serves global market

Keyword5 values
numerical weather prediction, medium-range forecasting, climate monitoring services, atmospheric data services, weather data analytics
Industry4 codes
1Early Warning, Event Monitoring & Forecasting (Extreme Weather Alerts, Nowcasting)
CodeEUABALAJPrimaryYes
2Climate Risk & Scenario Analysis (TCFD/IFRS S2)
CodeEUAHAJADPrimaryNo
3Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization)
CodeEUABALABPrimaryNo
4Wind Power Plant EPC (Onshore/Offshore)
CodeEUAEAAAFPrimaryNo
NAICS code1 code
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Services-Computer Integrated Systems Design7373
Product category
Numerical Weather Prediction
Social media profiles3 records
Marketing channels3 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Infrastructure, Operations
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

ECMWF is an intergovernmental organization that produces global numerical weather predictions (medium-range forecasts up to 15 days) and seasonal forecasts using both physics-based models (HRES) and AI/ML systems. It operates the Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS) for the European Union, and co-leads the Destination Earth (DestinE) digital twin platform. Outputs are distributed to 35 member states, aviation, agriculture, energy, insurance, and offshore wind stakeholders.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

ECMWF (European Centre for Medium-Range Weather Forecasts) is an intergovernmental organization offering a unified portfolio of global numerical weather prediction services. The core offering consists of physics-based forecasting systems (HRES), complemented by AI-enhanced forecasting capabilities and partnerships through the Destination Earth (DestinE) digital twin platform. ECMWF also operates the Copernicus Climate and Atmospheric Services for the European Union. The organization serves aviation, agriculture, energy trading sectors and provides open data policies globally.

Product and service4 records
1ECMWF Weather Forecasting Systems
CategoryNumerical weather prediction
Description

Global numerical weather prediction (NWP) systems integrating physics-based models and AI-enhanced forecasting to produce medium-range weather forecasts used by national meteorological services, aviation, agriculture, and energy sectors worldwide.

2HRES (High Resolution Forecast)
CategoryNumerical weather prediction model
Description

ECMWF's physics-based high-resolution weather forecasting model, demonstrated to consistently outperform leading AI weather models when predicting record-breaking extreme weather events including heat waves, cold spells, and wind storms.

3Destination Earth (DestinE) Platform
CategoryDigital twin platform
Description

Digital twin platform integrating atmospheric, ocean, wave, and turbine modelling capabilities to support high-impact applications such as offshore wind farm planning, siting, wake effects analysis, and grid integration; used by the DTWO consortium of 12 organizations across 9 countries.

4Copernicus Climate and Atmospheric Services
CategoryClimate and atmospheric data services
Description

EU-mandated services operated by ECMWF: the Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS), providing quality-assured climate and atmospheric data products to European public- and private-sector users.

Scale indicator4 records

Each record includes

Type, Value, Description, Source

Partnership7 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2026-05-18
Description

ECMWF has formalized a partnership with insurance and asset manager Generali through a Memorandum of Understanding to expand the use of quality-assured climate information across Europe. The collaboration pairs ECMWF's Copernicus climate and atmospheric services with Generali's Group Climate Hub to strengthen understanding of climate risks and support resilience strategies.

2DTWO (Federated Digital Twins for Wind-Offshore) Consortium
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2024-06-01
Description

ECMWF is co-leading the Horizon Europe-funded 'Federated Digital Twins for Wind-Offshore' (DTWO) project, creating a first-of-its-kind digital twin to address challenges in offshore wind energy such as siting, wake effects, and grid integration. The project involves 12 organisations from nine countries and uses the DestinE platform to integrate atmospheric, ocean, wave and turbine modelling capabilities.

ieu-monitoring.com
Strategic tierMajorTypeTechnology or Integration
Description

Collaboration with Met Office on AI advancement in weather and climate forecasting through building trust and integrating physics-based and AI systems for improved accuracy. Experts from both organizations discuss shared tools, transparency, and diversity to fuel innovation in operational AI forecasting frameworks.

Strategic tierCoreTypeOthers
Description

Horizon Europe is the EU's key funding programme for research and innovation. ECMWF receives funding through Horizon Europe for projects like DTWO (Federated Digital Twins for Wind-Offshore) and Destination Earth.

5NOOA (National Oceanic and Atmospheric Administration)
Strategic tierMajorTypeTechnology or Integration
Description

Collaboration with NOAA and Australia's Bureau of Meteorology on climate models showing 80% probability of strong El Nino event. ECMWF's climate projections are cited alongside NOAA forecasts for major climate events.

ndtv.com
6Australia Bureau of Meteorology
Strategic tierMajorTypeTechnology or Integration
Description

Collaboration with Australian Bureau of Meteorology and NOAA on climate models. ECMWF's climate projections for El Nino events are aligned with international meteorological agencies.

ndtv.com
Strategic tierCoreTypeStrategic or Co-development Partner
Description

ECMWF works with WMO on global weather monitoring and climate prediction. WMO announced the IMO Prize for ECMWF's Director-General, demonstrating the organization's standing within the international meteorological community.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeBroad incumbent
Description

The largest private-sector commercial weather forecasting company, serving many of the same aviation, enterprise, and consumer segments that consume ECMWF data; overlaps as a downstream commercial layer built partly on ECMWF/NCEP public data.

TypeEmerging player
Description

A satellite-based weather data provider focused on radio occultation and proprietary observations feeding NWP/AI forecasting; competes with ECMWF's tier-1 observation ecosystem and represents the emerging data-layer alternative to traditional met agencies.

TypeBroad incumbent
Description

IBM's commercial weather business offering enterprise forecasting, aviation, and media weather services; comparable in target customers (enterprise, aviation, media) and reliant on similar physics-based and AI-enhanced NWP inputs.

TypeDirect peer
Description

Germany's national meteorological service and a core ECMWF member state, operating its own ICON NWP model and providing comparable medium-range forecasting services to national stakeholders in parallel with ECMWF's pan-European mandate.

TypeDirect peer
Description

The UK's national meteorological service and a direct NWP peer with overlapping physics-based modeling capabilities, including a joint collaboration with ECMWF on AI forecasting frameworks and shared tools for operational AI in weather and climate.

TypeEmerging player
Description

A commercial weather intelligence platform serving aviation, logistics, energy, and agriculture; an emerging commercial peer targeting the same enterprise verticals where ECMWF is extending Copernicus-based services.

7Australian Bureau of Meteorology
TypeDirect peer
Description

Australia's national meteorological service and ECMWF operational partner; explicitly collaborates on El Nino and broader climate projections alongside NOAA, with a comparable public-service mandate and global forecast reach.

TypeRegional player
Description

Japan's national meteorological agency with comparable global NWP capabilities; serves as a regional peer (Asia) and operates its own integrated modeling suite, paralleling ECMWF's medium-range forecasting role for its region.

TypeBroad incumbent
Description

The US government weather agency and global NWP counterpart; collaborates with ECMWF on major climate projections (e.g., El Nino) and operates its own global forecast systems, serving as the most direct transatlantic institutional peer.

TypeDirect peer
Description

France's national meteorological service and ECMWF member state, running the ARPEGE/IFS-class NWP models; overlapping portfolio of medium-range forecasting, climate services, and aviation/energy data products makes it a direct functional peer.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses4 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights9 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers5 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment5 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile6 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Feature4 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

ECMWF

Numerical Weather Predictionecmwf.int

ECMWF is an intergovernmental organization supported by 35 member states that produces medium-range numerical weather forecasts and operates the EU's Copernicus Climate Change and Atmosphere Monitoring Services for aviation, agriculture, energy, insurance, and offshore wind sectors.

What ECMWF does

ECMWF (European Centre for Medium-Range Weather Forecasts) is an intergovernmental organization headquartered in Reading, United Kingdom, founded in 1975 and supported by 35 member states. Its core function is producing medium-range numerical weather predictions (forecasts up to approximately 15 days) for European meteorological services and downstream commercial and governmental users in aviation, agriculture, energy trading, insurance, and offshore wind. It also operates the European Union's Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS), delivering quality-assured climate and atmospheric data.

The technology stack is built on a hybrid physics-based and AI-enhanced architecture. The flagship HRES (High Resolution Ensemble System) is a physics-based NWP model that has been independently evaluated as consistently outperforming AI-only models on record-breaking extreme weather events. ECMWF complements HRES with AI weather prediction, integrating third-party models such as Google DeepMind's GraphCast and Huawei's Pangu-Weather alongside its own proprietary AI systems. It also operates the Destination Earth (DestinE) digital twin platform, which integrates atmospheric, ocean, wave, and turbine modeling and is used within Horizon Europe-funded consortia such as the Federated Digital Twins for Wind-Offshore (DTWO) project.

The business model is institutional rather than commercial. ECMWF is funded through mandatory contributions from its 35 member states, EU program contracts (notably Copernicus C3S and CAMS), and competitive research grants such as those under Horizon Europe. Pricing for data and services is not publicly disclosed. Distribution flows through national meteorological services in member states and through the Copernicus program, with a global open data policy broadening reach. The organization employs 251–500 staff and is governed collectively by its member states rather than by private shareholders.

ECMWF firmographics

Firmographics
Name
ECMWF
Legal name
European Centre for Medium-Range Weather Forecasts
Website
https://ecmwf.int
Company type
Private
Founded year
1975
Operating status
Operating
Headcount range
251–500 employees
Short description
ECMWF is an intergovernmental organization supported by 35 member states that produces medium-range numerical weather forecasts and operates the EU's Copernicus Climate Change and Atmosphere Monitoring Services for aviation, agriculture, energy, insurance, and offshore wind sectors.
Ownership category
akta.pro rank

ECMWF industry classification

Industry
Product category
Numerical Weather Prediction
NAICS
Computer Systems Design and Related Services (54151)
SIC
Services-Computer Integrated Systems Design (7373)
akta.pro primary industry
Early Warning, Event Monitoring & Forecasting (Extreme Weather Alerts, Nowcasting) (EUABALAJ)
akta.pro secondary industries
Climate Risk & Scenario Analysis (TCFD/IFRS S2) (EUAHAJAD), Downscaled Climate Projections & Scenario Analytics (CMIP, SSP/RCP, Regionalization) (EUABALAB), Wind Power Plant EPC (Onshore/Offshore) (EUAEAAAF)

Keywords

  • Numerical weather prediction
  • Medium-range forecasting
  • Climate monitoring services
  • Atmospheric data services
  • Weather data analytics

Where ECMWF is headquartered

Location

Headquarters

HQ city
Reading
HQ country
United Kingdom
HQ region
Europe

Markets served

ECMWF business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Infrastructure, Operations

Distribution channels3 records

Marketing channels3 records

ECMWF product offering

Product offering

Core offering

ECMWF is an intergovernmental organization that produces global numerical weather predictions (medium-range forecasts up to 15 days) and seasonal forecasts using both physics-based models (HRES) and AI/ML systems. It operates the Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS) for the European Union, and co-leads the Destination Earth (DestinE) digital twin platform. Outputs are distributed to 35 member states, aviation, agriculture, energy, insurance, and offshore wind stakeholders.

Product overview

ECMWF (European Centre for Medium-Range Weather Forecasts) is an intergovernmental organization offering a unified portfolio of global numerical weather prediction services. The core offering consists of physics-based forecasting systems (HRES), complemented by AI-enhanced forecasting capabilities and partnerships through the Destination Earth (DestinE) digital twin platform. ECMWF also operates the Copernicus Climate and Atmospheric Services for the European Union. The organization serves aviation, agriculture, energy trading sectors and provides open data policies globally.

Differentiator

Problem solved

Functional benefit

Products and services

  • ECMWF Weather Forecasting Systems Global numerical weather prediction (NWP) systems integrating physics-based models and AI-enhanced forecasting to produce medium-range weather forecasts used by national meteorological services, aviation, agriculture, and energy sectors worldwide.
  • HRES (High Resolution Forecast) ECMWF's physics-based high-resolution weather forecasting model, demonstrated to consistently outperform leading AI weather models when predicting record-breaking extreme weather events including heat waves, cold spells, and wind storms.
  • Destination Earth (DestinE) Platform Digital twin platform integrating atmospheric, ocean, wave, and turbine modelling capabilities to support high-impact applications such as offshore wind farm planning, siting, wake effects analysis, and grid integration; used by the DTWO consortium of 12 organizations across 9 countries.
  • Copernicus Climate and Atmospheric Services EU-mandated services operated by ECMWF: the Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS), providing quality-assured climate and atmospheric data products to European public- and private-sector users.

Companies that use ECMWF

Customer profile

Named customers5 records

Segments5 records

Ideal customer profiles6 records

ECMWF technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature4 records

ECMWF partnerships and signals

Strategic signal

Partnerships

Seven partnerships are on record, tiered core and major.

  • GeneralicoreStrategic or Co-development Partner · 18 May 2026ECMWF has formalized a partnership with insurance and asset manager Generali through a Memorandum of Understanding to expand the use of quality-assured climate information across Europe. The collaboration pairs ECMWF's Copernicus climate and atmospheric services with Generali's Group Climate Hub to strengthen understanding of climate risks and support resilience strategies.
  • DTWO (Federated Digital Twins for Wind-Offshore) ConsortiumcoreStrategic or Co-development Partner · 1 June 2024ECMWF is co-leading the Horizon Europe-funded 'Federated Digital Twins for Wind-Offshore' (DTWO) project, creating a first-of-its-kind digital twin to address challenges in offshore wind energy such as siting, wake effects, and grid integration. The project involves 12 organisations from nine countries and uses the DestinE platform to integrate atmospheric, ocean, wave and turbine modelling capabilities.
  • Met OfficemajorTechnology or IntegrationCollaboration with Met Office on AI advancement in weather and climate forecasting through building trust and integrating physics-based and AI systems for improved accuracy. Experts from both organizations discuss shared tools, transparency, and diversity to fuel innovation in operational AI forecasting frameworks.
  • Horizon EuropecoreOthersHorizon Europe is the EU's key funding programme for research and innovation. ECMWF receives funding through Horizon Europe for projects like DTWO (Federated Digital Twins for Wind-Offshore) and Destination Earth.
  • NOOA (National Oceanic and Atmospheric Administration)majorTechnology or IntegrationCollaboration with NOAA and Australia's Bureau of Meteorology on climate models showing 80% probability of strong El Nino event. ECMWF's climate projections are cited alongside NOAA forecasts for major climate events.
  • Australia Bureau of MeteorologymajorTechnology or IntegrationCollaboration with Australian Bureau of Meteorology and NOAA on climate models. ECMWF's climate projections for El Nino events are aligned with international meteorological agencies.
  • World Meteorological Organisation (WMO)coreStrategic or Co-development PartnerECMWF works with WMO on global weather monitoring and climate prediction. WMO announced the IMO Prize for ECMWF's Director-General, demonstrating the organization's standing within the international meteorological community.

Scale indicators4 records

Recent moves6 records

Expansion highlights6 records

ECMWF competitors and assessment

Company assessment

Broad incumbents

  • AccuWeather: The largest private-sector commercial weather forecasting company, serving many of the same aviation, enterprise, and consumer segments that consume ECMWF data; overlaps as a downstream commercial layer built partly on ECMWF/NCEP public data.
  • The Weather Company (IBM): IBM's commercial weather business offering enterprise forecasting, aviation, and media weather services; comparable in target customers (enterprise, aviation, media) and reliant on similar physics-based and AI-enhanced NWP inputs.
  • NOAA (National Weather Service / NCEP): The US government weather agency and global NWP counterpart; collaborates with ECMWF on major climate projections (e.g., El Nino) and operates its own global forecast systems, serving as the most direct transatlantic institutional peer.

Emerging players

  • Spire Global: A satellite-based weather data provider focused on radio occultation and proprietary observations feeding NWP/AI forecasting; competes with ECMWF's tier-1 observation ecosystem and represents the emerging data-layer alternative to traditional met agencies.
  • Tomorrow.io: A commercial weather intelligence platform serving aviation, logistics, energy, and agriculture; an emerging commercial peer targeting the same enterprise verticals where ECMWF is extending Copernicus-based services.

Direct peers

  • Deutscher Wetterdienst (DWD): Germany's national meteorological service and a core ECMWF member state, operating its own ICON NWP model and providing comparable medium-range forecasting services to national stakeholders in parallel with ECMWF's pan-European mandate.
  • UK Met Office: The UK's national meteorological service and a direct NWP peer with overlapping physics-based modeling capabilities, including a joint collaboration with ECMWF on AI forecasting frameworks and shared tools for operational AI in weather and climate.
  • Australian Bureau of Meteorology: Australia's national meteorological service and ECMWF operational partner; explicitly collaborates on El Nino and broader climate projections alongside NOAA, with a comparable public-service mandate and global forecast reach.
  • Météo-France: France's national meteorological service and ECMWF member state, running the ARPEGE/IFS-class NWP models; overlapping portfolio of medium-range forecasting, climate services, and aviation/energy data products makes it a direct functional peer.

Regional players

  • Japan Meteorological Agency (JMA): Japan's national meteorological agency with comparable global NWP capabilities; serves as a regional peer (Asia) and operates its own integrated modeling suite, paralleling ECMWF's medium-range forecasting role for its region.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat6 records

Key risks6 records

Key highlights9 records

Customer concentration

ECMWF social profiles

Digital presence

ECMWF financial estimates

Financial estimate

Revenue estimate

Valuation estimate

ECMWF leadership team

Management profile

Number of profiles

Profiles1 record

ECMWF funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

ECMWF M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about ECMWF

What does ECMWF do?

ECMWF is an intergovernmental organization that produces global numerical weather predictions (medium-range forecasts up to 15 days) and seasonal forecasts using both physics-based models (HRES) and AI/ML systems. It operates the Copernicus Climate Change Service (C3S) and Copernicus Atmosphere Monitoring Service (CAMS) for the European Union, and co-leads the Destination Earth (DestinE) digital twin platform. Outputs are distributed to 35 member states, aviation, agriculture, energy, insurance, and offshore wind stakeholders.

Is ECMWF a public or private company?

ECMWF is a private company. It is classified as state government owned and is currently operating.

When was ECMWF founded?

ECMWF was founded in 1975. It employs 251 to 500 people.

Where is ECMWF based?

ECMWF is headquartered in Reading, United Kingdom, in the Europe region.

Who are ECMWF's main competitors?

Broad incumbents on record are AccuWeather, The Weather Company (IBM) and NOAA (National Weather Service / NCEP). Emerging players are Spire Global and Tomorrow.io. Direct peers are Deutscher Wetterdienst (DWD), UK Met Office, Australian Bureau of Meteorology and Météo-France. Japan Meteorological Agency (JMA) is listed as a regional player.

Does ECMWF have an API?

No public API is recorded for ECMWF.

What industry is ECMWF in?

ECMWF's product category is Numerical Weather Prediction. Its primary akta.pro industry code is EUABALAJ, Early Warning, Event Monitoring & Forecasting (Extreme Weather Alerts, Nowcasting), with a secondary code of EUAHAJAD, Climate Risk & Scenario Analysis (TCFD/IFRS S2). Its NAICS code is 54151 and its SIC code is 7373.

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Live signals
Les EchosVers la fin des prévisions météo ?Six heatwaves swept Europe from May to September 2026, causing over 8,000 extra deaths in France. The ECMWF issued a mea culpa for failing to detect the early-summer heatwaves, citing that modeling Earth's weather and climate remains a major scientific challenge.Innovation News NetworkHow flood forecasting is transforming Europe’s response to extreme weatherEurope's flood forecasting is being enhanced by combining weather models, hydrological data, satellite imagery, and AI, with EFAS providing probabilistic forecasts up to 10 days ahead. ECMWF's AIFS was integrated into EFAS in September 2025, and AI streamflow models are under research. The goal is to give authorities earlier warnings to reduce flood impacts.HuggingfaceECMWF's AI forecasting model is open source: now let's make it easy to run.Hugging Face and the European Centre for Medium-Range Weather Forecasts (ECMWF) collaborated to make ECMWF's open-source AI weather forecasting model AIFS easier to run, after identifying that the hardware requirements (Ampere-class NVIDIA GPUs) created a barrier for most users. The AIFS model, which became operational on February 25, 2025 and uses roughly 1,000 times less energy than traditional physics-based models, can now be run on any hardware through a compatibility patch and tutorials published by Hugging Face, with detailed guidance for using Hugging Face Jobs or local hardware setups.AcmAI Weather Forecasting Goes Operational – Communications of the ACMMajor forecasting centers including ECMWF and NOAA have transitioned AI weather models from research into daily operational use, with ECMWF running its AIFS system since February 2025 and NOAA following in January 2026. AI ensembles like GenCast and FNG have surpassed the skill of traditional physics-based ensemble forecasting at a fraction of the computational cost, though the technology struggles with extreme events due to training data limitations. Industry experts favor hybrid approaches combining AI speed with physics-based reliability rather than full replacement of conventional systems.RTE.ieEl Niño is expected 'to break records', warns expertA top expert at the European Centre for Medium-Range Weather Forecasts (ECMWF) warned that the current El Niño weather phenomenon is expected to break records for its overall strength, with forecast models showing an extreme event unlike anything seen in more than three decades of tracking. Forecast models have shown unprecedented consistency in predicting a record-breaking El Niño between July and September. The World Health Organization also issued a separate warning that Europe could face more deadly weeks ahead as another intense heatwave forms over the Atlantic.Mirage NewsFlorence Rabier Receives WMO's Highest HonorThe World Meteorological Organization announced that Dr. Florence Rabier of France will receive its highest honor, the IMO Prize, recognizing her pioneering contributions to numerical weather prediction and transformative leadership as director of the European Centre for Medium-Range Weather Forecasts from 2016 to 2025. Under her tenure, ECMWF integrated artificial intelligence into forecasting systems, adopted a global open data policy, and strengthened its role in European programs including Copernicus and Destination Earth. Dr. Rabier will formally receive the award and deliver a lecture at the World Meteorological Congress in 2027.The Times of IndiaEl Niño here, 63% chance it will be super strong: US - The Times of IndiaThe US Climate Prediction Center and NOAA have confirmed the Pacific Ocean has transitioned to El Niño mode, with a 63% probability it will strengthen into a "very strong" event by November-January—a sharp increase from the 37% forecast issued in May. The agencies warn this would rank among the largest El Niño events in the historical record going back to 1950, with European weather agency ECMWF also projecting an unprecedentedly strong "super" El Niño by November-December. El Niño involves abnormal heating of ocean surface waters in the central and eastern equatorial Pacific and significantly influences global weather patterns, including having an adverse impact on India's summer monsoon.FarmonautWho Is The Market Leader In Weather Data For Aviation Agriculture?The article identifies and compares leading weather data providers for aviation, agriculture, and energy trading sectors, noting the global weather data market for these industries is projected to surpass $2.5 billion by 2027. Farmonaut emerges as a featured market leader, distinguished by its use of satellite technology, AI-driven forecasting, and blockchain traceability to deliver field-scale weather intelligence and risk management tools. The analysis ranks several other major providers including IBM/The Weather Company, Vaisala, Meteorologix (DTN), Weathernews, and ECMWF based on forecast accuracy, data integration, risk management tools, and global coverage.ReinsuranceNe.wsGenerali and ECMWF formalise European partnership on climate risk and resilienceThe European Centre for Medium-Range Weather Forecasts (ECMWF) has formalized a partnership with insurance and asset manager Generali through a Memorandum of Understanding to expand the use of quality-assured climate information across Europe. The collaboration will pair ECMWF's Copernicus climate and atmospheric services with Generali's Group Climate Hub to strengthen understanding of climate risks and support resilience strategies. The partnership reflects growing demand for reliable climate data as extreme weather events increase, with global insured and uninsured losses exceeding $500 billion in recent years.SciencePhysics-based models outperform AI weather forecasts of record-breaking extremesA scientific study published in a peer-reviewed journal found that current AI weather forecasting models (GraphCast, Pangu-Weather, Fuxi) systematically underperform the physics-based HRES model from ECMWF when predicting record-breaking extreme weather events including heat records, cold records, and wind storms. The research identified a structural extrapolation problem in AI models, which tend to underpredict both the intensity and frequency of record-breaking events, with greater forecast biases for more extreme records. The authors conclude that physics-based numerical weather prediction models should continue to be funded and operated alongside AI models, as the current generation of AI models underperforms exactly during the most impactful weather events.