Meteorology: The Best Resources from AI

☁️ 100 Essential Online Meteorology Resources: Your Ultimate Global Weather & Climate Toolkit 🌍

Meteorology is more than just checking tomorrow's forecast; it's a vital science impacting agriculture, transportation, energy, disaster management, and our understanding of climate change. With the rise of AI in weather prediction and analysis, accessing reliable data and resources is more crucial than ever.

The internet hosts an overwhelming amount of meteorological information. To help you navigate this, we've compiled a list of 100 valuable online resources.

This list includes global organizations, leading national weather services, crucial data archives, forecast models, satellite imagery providers, educational tools, specialized services, and communities.

🌐 Global Organizations & Coordination

1. World Meteorological Organization (WMO): The UN's specialized agency setting international standards and facilitating cooperation in meteorology, hydrology, and related sciences.

2. World Weather Information Service (WWIS): WMO portal providing official forecasts and observations from National Meteorological Services worldwide.

3. Intergovernmental Panel on Climate Change (IPCC): The leading international body for the assessment of climate change, providing comprehensive scientific reports.

4. World Climate Research Programme (WCRP): Coordinates international climate research to develop fundamental understanding and determine predictability. Parent organization of CMIP.

5. Global Climate Observing System (GCOS): Aims to ensure the availability of global observations for climate monitoring, research, and prediction.

6. Group on Earth Observations (GEO): Coordinates international efforts to build a Global Earth Observation System of Systems (GEOSS).

🇪🇺 European Centres & Collaboration

7. European Centre for Medium-Range Weather Forecasts (ECMWF): Renowned for its global numerical weather prediction model (IFS); provides forecasts and data.

8. EUMETSAT: Europe's meteorological satellite agency, operating Meteosat and Metop satellites. Provides data and imagery.

9. EUMETNET: A network grouping 31 European National Meteorological Services to foster cooperation.

10. EUMETCAL/EUMETRAIN: Training resources primarily focused on satellite meteorology in Europe.

11. Copernicus Climate Change Service (C3S): Provides authoritative information about the past, present and future climate, including the ERA5 reanalysis dataset. Run by ECMWF.

12. Copernicus Atmosphere Monitoring Service (CAMS): Provides continuous data and information on atmospheric composition. Run by ECMWF.

🇺🇸 US National Services & Research (NOAA/NWS/NSF)

13. National Oceanic and Atmospheric Administration (NOAA): US agency focused on the conditions of the oceans, major waterways, and the atmosphere.

14. National Weather Service (NWS): NOAA's primary service delivery arm for weather forecasts and warnings in the US.

15. National Center for Atmospheric Research (NCAR): NSF-funded US research center focused on Earth system science.

16. University Corporation for Atmospheric Research (UCAR): Consortium of universities managing NCAR and providing community programs.

17. National Centers for Environmental Prediction (NCEP): Part of NWS, comprising specialized centers for prediction.

18. Weather Prediction Center (WPC): NCEP center focused on quantitative precipitation forecasts and medium-range forecasting.

19. National Hurricane Center (NHC): NCEP center for tropical cyclone forecasting in the Atlantic and East Pacific.

20. Storm Prediction Center (SPC): NCEP center focused on severe thunderstorm and tornado forecasting.

21. Climate Prediction Center (CPC): NCEP center for monitoring and forecasting climate variability from weeks to seasons.

22. Ocean Prediction Center (OPC): NCEP center providing marine weather warnings and forecasts.

23. Space Weather Prediction Center (SWPC): NCEP center for space weather alerts and forecasts.

24. Aviation Weather Center (AWC): NCEP center dedicated to aviation weather forecasts and warnings.

25. National Severe Storms Laboratory (NSSL): NOAA research lab focused on understanding and predicting severe weather.

26. National Centers for Environmental Information (NCEI): World's largest provider of weather and climate data (formerly NCDC).

27. National Data Buoy Center (NDBC): Provides real-time data from a network of ocean buoys and coastal stations.

28. NOAA Research (OAR): Oversees NOAA's research laboratories and programs.

29. NOAA Office of Satellite and Product Operations (OSPO): Manages NOAA's environmental satellite constellation and product generation.

30. Climate.gov (NOAA): NOAA portal for public climate information, data, and educational resources.

🌍 Selected National Weather Services (Worldwide)

(This is a sample; many other excellent national services exist! Check the WMO Members List for more.)

31. Meteorological Service of Canada (MSC): Canada's national weather service.

32. UK Met Office: The United Kingdom's national meteorological service.

33. Deutscher Wetterdienst (DWD): Germany's national meteorological service.

34. Météo-France: The French national meteorological service.

35. Japan Meteorological Agency (JMA): Japan's national agency for meteorology and seismology.

36. Bureau of Meteorology (BOM Australia): Australia's national weather, climate, and water agency.

37. China Meteorological Administration (CMA): National weather service for the People's Republic of China.

38. India Meteorological Department (IMD): India's national meteorological agency.

39. Korea Meteorological Administration (KMA): South Korea's national weather service.

40. Instituto Nacional de Meteorologia (INMET Brazil): Brazil's national institute for meteorology.

41. South African Weather Service (SAWS): South Africa's national weather service.

42. Servicio Meteorológico Nacional (SMN Argentina): Argentina's national meteorological service.

43. Servicio Meteorológico Nacional (SMN Mexico): Mexico's national meteorological service.

44. Met Éireann: The Irish National Meteorological Service.

🛰️ Satellite Data & Imagery

45. NOAA GOES Imagery Online (OSPO): Access point for imagery from NOAA's GOES-East and GOES-West satellites.

46. NOAA CLASS (Comprehensive Large Array-data Stewardship System): Archive for NOAA satellite data.

47. EUMETSAT Data Access: Portal for accessing data from Meteosat and Metop satellites.

48. JMA Meteorological Satellite Center: Access to Himawari satellite imagery.

49. NASA Worldview: Interactively browse global, full-resolution satellite imagery, often within hours of acquisition.

50. RAMMB/CIRA SLIDER: Excellent tool for viewing and comparing geostationary satellite imagery loops (GOES, Himawari, Meteosat).

51. SSEC Geostationary Satellite Images (University of Wisconsin): Provides access to real-time and archived geostationary imagery.

📡 Radar & Precipitation Data

52. NWS Radar Page: Official access to the US NEXRAD Doppler radar network.

53. RainViewer: Global composite precipitation radar map with forecasts and animation.

54. NASA Global Precipitation Measurement (GPM) Mission: International satellite mission providing next-generation observations of rain and snow. Data available via Goddard Earth Sciences Data and Information Services Center (GES DISC).

55. WMO Radar Database: Database of operational weather radars globally (part of WMO Information System - WIS).

📊 Weather Models & Forecast Data

56. ECMWF Charts: Official charts from the ECMWF Integrated Forecasting System (IFS) model.

57. NOAA NOMADS Server: Access point for NCEP model data (GFS, NAM, HRRR, etc.).

58. NOAA Model Analyses and Guidance (MAG): Graphical interface for viewing various NCEP model forecast outputs.

59. Pivotal Weather: Popular site for viewing and comparing output from various numerical weather prediction models.

60. Weather.us / Meteologix Model Charts: Interface for viewing multiple global (ECMWF, GFS, ICON, etc.) and regional models.

61. Tropical Tidbits: Excellent resource focusing on tropical cyclone forecasting, including model analysis.

62. UK Met Office DataPoint API: Provides free access to UK Met Office forecast and observation data (API-based).

📈 Reanalysis & Climate Data Archives

63. ECMWF Reanalysis (ERA5): Latest global climate reanalysis from ECMWF, available via Copernicus Climate Data Store (CDS).

64. Copernicus Climate Data Store (CDS): Central point for accessing climate data including ERA5.

65. NASA MERRA-2 Reanalysis: Global atmospheric reanalysis produced by NASA's Global Modeling and Assimilation Office (GMAO). Data via GES DISC.

66. NCEP/NCAR Reanalysis I: One of the first and widely used global reanalysis datasets, hosted by NOAA PSL.

67. NCEP/DOE Reanalysis II: An updated version of the NCEP/NCAR reanalysis, hosted by NOAA PSL.

68. JMA JRA-55 Reanalysis: Japanese 55-year Reanalysis project. Data available from JMA and NCAR RDA.

69. NCAR Research Data Archive (RDA): Extensive archive of meteorological and oceanographic datasets, including many reanalyses.

70. NOAA NCEI Climate Data Online (CDO): Access point for various climate datasets, including station data.

71. Centre for Environmental Data Analysis (CEDA) Archive: UK's national data centre for atmospheric and earth observation research, hosting CMIP data and more.

72. IRI Data Library (Columbia University): Powerful tool for accessing, manipulating, and visualizing climate-related data.

☀️ Climate Change Science & Data

73. IPCC Data Distribution Centre (DDC): Provides access to data and scenarios used in IPCC assessments.

74. WCRP Coupled Model Intercomparison Project (CMIP): Coordinates climate model experiments that underpin IPCC reports. Data accessible via ESGF.

75. Earth System Grid Federation (ESGF): Distributed data infrastructure for accessing CMIP and other climate model output.

76. World Bank Climate Change Knowledge Portal (CCKP): Data and tools on climate projections, vulnerabilities, and adaptation.

77. Climate Information Portal (CIP - SMHI): Global climate data, site reports, and knowledge base from the Swedish Meteorological and Hydrological Institute.

78. NASA Goddard Institute for Space Studies (GISS) Climate Data: Includes widely used global temperature analysis (GISTEMP).

79. EPA Climate Change Indicators (US): Tracks and communicates key measures of climate change in the US.

🌪️ Severe Weather & Specialized Forecasts

80. WMO Severe Weather Information Centre: Official warnings for tropical cyclones, heavy rain/snow, thunderstorms, etc., globally.

81. Joint Typhoon Warning Center (JTWC): US military center providing tropical cyclone warnings for the Pacific and Indian Oceans.

82. Ready.gov (US FEMA): US government site for preparedness information on various hazards, including weather.

83. European Severe Weather Database (ESWD): Collects and archives reports of severe weather events across Europe.

🌊 Marine & Ocean Weather

84. NOAA Marine Weather Forecasts: Portal for NWS marine forecasts, including coastal, offshore, and high seas.

85. PassageWeather: Specialized 7-day wind, wave, and weather forecasts for sailors.

86. Global Ocean Observing System (GOOS): International collaborative framework for sustained ocean observations.

87. ARGO Program: Global array of ~4000 free-drifting profiling floats measuring ocean temperature/salinity.

✈️ Aviation Weather

88. FAA Aviation Weather (US): Federal Aviation Administration resources and links for aviation weather.

89. UK Met Office Aviation Services: Aviation weather services provided by the UK Met Office.

90. SKYbrary Aviation Safety: Comprehensive wiki-style resource on aviation safety, including weather topics.

🌱 Agricultural Meteorology

91. WMO Agricultural Meteorology Programme (AgMP): WMO activities supporting meteorological services for agriculture.

92. World AgroMeteorological Information Service (WAMIS): WMO-sponsored site with agrometeorological products and resources.

93. Food and Agriculture Organization (FAO) - Agro-meteorology: FAO resources related to weather, climate, and agriculture.

94. International Society for Agricultural Meteorology (INSAM): Professional society connecting agrometeorologists worldwide.

🎓 Educational Resources & Glossaries

95. MetEd (UCAR/COMET): Extensive library of free online training modules on meteorology and related sciences.

96. NWS JetStream - Online School for Weather: Comprehensive educational resource covering many weather topics.

97. AMS Glossary of Meteorology: Authoritative dictionary of meteorological terms.

98. GLOBE Program: International science and education program involving students in data collection.

99. Penn State University e-Wall: Example of a university meteorology department providing excellent online weather maps and data visualization.

100. Climate Literacy & Energy Awareness Network (CLEAN): Collection of reviewed educational resources related to climate and energy.

💻 Software, Tools & APIs

(Many providers offer APIs - see lists from Ambee/Tomorrow.io in search results for more) 101. OpenWeatherMap API: Popular API for current weather, forecasts, and historical data. 102. Meteomatics API: High-resolution weather data API focused on business applications. 103. Tomorrow.io Weather API: Comprehensive API with weather, air quality, pollen, and more data layers.

104. Windy.com: Excellent interactive weather visualization site with multiple models and layers (also offers an API).

105. ClimateCharts.net: Online tool for creating Walter-Lieth climate charts and other visualizations for locations worldwide.

106. NCAR Command Language (NCL): Powerful (though legacy support ending) scripting language for scientific data analysis and visualization.

107. Python Libraries (MetPy, Xarray, Cartopy): Essential open-source tools for modern meteorological data analysis and plotting in Python.

108. Panoply NetCDF Viewer (NASA GISS): Cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets.

👥 Communities & Professional Societies

109. American Meteorological Society (AMS): Leading US professional society for atmospheric and related sciences.

110. European Meteorological Society (EMS): Association of meteorological societies across Europe.

111. Weather Forecasting Forum: Online discussion forum for weather enthusiasts and professionals.

112. Stack Exchange - Earth Science (Meteorology Tag): Q&A site for meteorology questions.

This extensive list provides numerous starting points for exploring the vast world of online meteorology resources. Whether you're forecasting, researching, learning, or just curious, these sites offer valuable data, tools, and knowledge. Happy exploring the atmosphere!

🤖🌪️ 100+ Resources Exploring AI in Meteorology: Models, Research, Data & More 💡

Artificial Intelligence is actively revolutionizing weather forecasting, climate modeling, and our ability to predict and prepare for extreme events. AI models can now process vast datasets and generate forecasts faster and sometimes more accurately than traditional methods, opening up new frontiers in Earth system science.

Navigating this rapidly evolving field can be daunting. This post compiles over 100 valuable resources – from the AI models making headlines to the research groups driving innovation, the datasets fueling discovery, and the communities fostering collaboration. Dive into the world of AI in Meteorology!

🤖 Leading AI Weather Models & Platforms

1. Google DeepMind GraphCast: AI model for medium-range global weather forecasting, known for high accuracy and speed. (Code likely on GitHub).

2. NVIDIA FourCastNet: Physics-informed AI weather model designed for high-resolution, rapid forecasting. (Resource page: Predicting Weather with AI - NVIDIA).

3. Huawei Pangu-Weather: AI model demonstrated to have high precision in global forecasting, accessible via ECMWF. (News Release).

4. ECMWF AIFS (Artificial Intelligence Forecasting System): ECMWF's operational AI-based forecasting system, providing open data. (Announcement).

5. Microsoft ClimaX: A foundation model for weather and climate science developed by Microsoft Research.

6. FuXi Model (Fudan University): Another significant AI weather forecasting model developed in China.

7. FengWu Model: High-performing global AI weather model evaluated alongside others like Pangu and GraphCast.

8. MetNet / MetNet-3 (Google Research): Google's models focused on short-term, high-resolution precipitation nowcasting. (Africa Launch Blog).

9. NCAR WXFormer: AI weather model developed by NSF NCAR, designed for research flexibility (part of CREDIT).

10. AtmoRep (Microsoft Research): Self-supervised representation learning model for atmospheric dynamics.

11. Jua EPT Model: Commercial AI weather model focusing on energy trading applications, claiming high accuracy.

12. Tomorrow.io Weather & Climate Generative AI: Platform integrating generative AI for weather insights.

13. Spherical Fourier Neural Operators (SFNO): AI architecture used in models like FourCastNet v2, tailored for spherical data.

14. GenCast (Google DeepMind): Ensemble AI weather forecasting system from Google, providing probabilistic forecasts.

15. NeuralGCM (Google Research): Hybrid AI-physics model listed on WeatherBench.

16. Stormer (UCLA et al.): Transformer-based AI model for weather forecasting listed on WeatherBench.

17. Excarta (HEAL-ViT): AI weather model listed on WeatherBench.

18. ArchesWeather (Inria et al.): Deterministic and generative AI models listed on WeatherBench.

🔬 Research Groups, Labs & Initiatives

19. ECMWF Machine Learning Activities: Overview of ECMWF's extensive work integrating ML into weather forecasting.

20. ECMWF AI Weather Quest: Competition to advance sub-seasonal forecasting using AI/ML. (WMO Announcement).

21. NOAA AI Strategy & Activities: NOAA's official page on its AI strategy and implementation.

22. NOAA Center for AI (NCAI): Hub for coordinating and accelerating AI development within NOAA.

23. NSF NCAR AI Initiatives (CREDIT Platform): NCAR's platform aiming to make AI weather modeling more accessible for research.

24. NCAR Artificial Intelligence Initiative (AI²): NCAR's overarching initiative for AI research and applications.

25. Google Research - Weather & Climate: Hub for Google's research publications and projects (includes GraphCast, MetNet).

26. NVIDIA Earth-2 Initiative: NVIDIA's platform aiming to build digital twins of Earth for climate prediction, leveraging models like FourCastNet.

27. Microsoft AI for Good Research Lab - Climate & Sustainability: Microsoft's research efforts applying AI to environmental challenges.

28. Max Planck Institute for Meteorology - AI Research: Research examples applying ML/AI at MPI-M, Germany. (Independent Groups).

29. University of Oklahoma - NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES): Leading institute focused on trustworthy AI for environmental science. (Director's Profile/Talk).

30. University of Chicago - Climate Extremes Theory and Data (CeTD) group / HCF Initiative: Academic group actively researching AI weather forecasting.

31. Allen Institute for AI (AI2) - Climate Modeling: AI research focused on improving climate models.

32. Lawrence Berkeley National Laboratory (LBNL) - Climate & Ecosystem Sciences - AI/ML: Applying AI/ML to climate modeling and analysis.

33. Stanford University - AI for Climate Change Bootcamp: Example of university-level training initiatives.

34. MIT Climate and Sustainability Consortium (MCSC): Industry consortium likely leveraging AI for climate solutions.

35. UK Met Office - AI Research (Informatics Lab): Explores data science and AI applications in meteorology.

36. German Aerospace Center (DLR) - AI for Earth Observation: Research applying AI to satellite data relevant for meteorology.

37. University of Reading - Data Assimilation Research Centre (DARC) & ML: University group involved in data assimilation and potential ML applications.

38. Columbia University - Lamont-Doherty Earth Observatory (LDEO) - AI/ML Applications: Researchers here often apply ML/AI to climate science. (See also IRI Data Library below).

39. University Corporation for Atmospheric Research (UCAR) AI Initiatives: UCAR manages NCAR and facilitates community AI efforts.

40. European Geosciences Union (EGU) - Machine Learning in Geosciences: EGU initiatives related to ML.

📊 Datasets & Benchmarks

41. WeatherBench v2: Leading benchmark framework for evaluating data-driven global weather models. Includes scores and model lists.

42. WeatherBench v1 GitHub Repository: Original benchmark code and data processing scripts. (Paper link on CCAI).

43. ERA5 Reanalysis Data (ECMWF): Foundational dataset from ECMWF used for training many AI weather models.

44. Copernicus Climate Data Store (CDS): Main portal for accessing ERA5 and other Copernicus climate data.

45. ERA5 on Google Cloud: Cloud-optimized version of ERA5 for easier ML access.

46. ERA5 on AWS Open Data: Another cloud access point for ERA5 data.

47. ECMWF AI Weather Quest Training Data Access: Provides access to specific post-processed ERA5 and MSWEP data for the competition.

48. ClimateLearn Framework: Python library simplifying ML model training and evaluation on climate datasets like ERA5, CMIP6. (OpenReview Paper).

49. CAMELS dataset: Widely used dataset in hydrology for ML rainfall-runoff modeling.

50. NOAA Global Historical Climatology Network (GHCN): Long-term station climate records.

51. CMIP6 Data Access (ESGF): Output from global climate models, accessible via ESGF nodes.

52. NASA NEX-GDDP-CMIP6: Downscaled CMIP6 climate projections.

53. GOES Satellite Data Access (NOAA CLASS/Cloud): Geostationary satellite imagery.

54. Sentinel Satellite Data Access (Copernicus Hub): Data from Europe's Sentinel satellites.

55. NOAA Open Data Dissemination (NODD): Program providing access to NOAA datasets on cloud platforms, including AI model outputs. (Example BAMS paper ref).

56. IRI Data Library (Columbia University): Tool for accessing and manipulating climate-related data.

57. UK CEDA Archive: Hosts atmospheric and Earth observation data, including CMIP.

58. NCAR Research Data Archive (RDA): Major archive for meteorological datasets.

📄 Key Publications & Explainers

(Note: Links often go to abstracts, preprints, or news articles for accessibility)

59. Paper: GraphCast (Lam et al., Science 2023): The publication detailing the GraphCast model.

60. Explainer: Google DeepMind Blog on GraphCast: Google's explanation of GraphCast. 61. Paper: FourCastNet (Pathak et al., arXiv 2022): Introduces the FourCastNet architecture.

62. Explainer: NVIDIA Blog on FourCastNet: NVIDIA's overview of FourCastNet.

63. Paper: Pangu-Weather (Bi et al., Nature 2023): The research paper describing the Pangu-Weather model.

64. Explainer: Huawei News Release on Pangu-Weather: Public release announcement. 65. Paper: MetNet (Sønderby et al., arXiv 2020): Details the MetNet architecture for precipitation nowcasting.

66. Explainer: Google Blog on MetNet-3: Update on MetNet progress.

67. Paper: WeatherBench v1 (Rasp et al., JAMES 2020): Introduces the original WeatherBench benchmark.

68. Paper: Tackling Climate Change with Machine Learning (Rolnick et al., arXiv 2019/2022): Foundational paper outlining opportunities for ML in climate action.

69. Paper: Deep learning for weather forecasting: A survey (Scher & Messori, arXiv 2021): Review of early deep learning approaches.

70. Paper: Comparing DL Weather Backbones (Lessig et al., arXiv 2024): Recent comparison of different AI model architectures.

71. Paper: Rise of Data-Driven Weather Forecasting Statistical Assessment (Ben Bouallegue et al., BAMS 2024): Statistical comparison of ML forecasts in an operational-like context.

72. Paper: Accelerating Community-Wide Evaluation of AI Models (Clark et al., BAMS 2024): Discusses efforts to standardize AI model evaluation and data access (mentions NODD).

73. Explainer: Yale E360 Article on AI Weather Revolution: Overview of AI impact and challenges.

74. Explainer: Grist Article on AI for Extreme Weather: Discusses speed, cost, and accuracy benefits.

75. Explainer: Carahsoft Blog on AI Advancing Weather Predictions: Highlights improvements in forecast reliability.

76. Explainer: Infoplaza Blog on Second Gen AI Models: Discusses different AI model types (Transformers, GNNs, etc.).

77. Explainer: Infoplaza Blog on Regional AI Models: Contrasts global AI models with regional NWP needs.

78. Explainer: Meteomatics on FourCastNet/GraphCast Integration: Example of commercial integration of AI models.

🎓 Conferences, Workshops & Communities

79. Climate Change AI (CCAI): Global non-profit hub for AI and climate change. Organizes workshops, grants, community events. (About Page).

80. NeurIPS Workshop: Tackling Climate Change with Machine Learning: Major annual ML conference workshop (link is 2024 example).

81. ICLR Workshop: Climate Change AI: Similar workshop at another top ML conference (link is 2024 example).

82. AMS Conference on Artificial Intelligence for Environmental Science: Key specialist conference at the AMS Annual Meeting (link is 2025 example).

83. [invalid URL removed]: American Geophysical Union meeting features numerous relevant AI sessions (e.g., 2024 Session Example).

84. EGU General Assembly - AI/ML Sessions: European Geosciences Union assembly includes AI/ML in Earth science tracks.

85. SIAM Conference on Mathematics of Planet Earth (MPE): Conference series often featuring mathematical aspects of AI in climate/weather.

86. International Conference on Machine Learning (ICML): Top ML conference sometimes hosting relevant workshops.

87. DeepLearning.AI Courses (Coursera): Foundational AI/ML training.

88. fast.ai Courses: Practical deep learning courses.

89. ML Climate GitHub Community: GitHub organization hosting climate-related ML projects.

90. Pangeo Community: Community platform for open, reproducible, scalable geoscience (Python-based tools).

91. EUMETNET AI Activities: European national met services collaboration on AI.

☁️ Cloud Platforms & Infrastructure

92. Google Cloud AI Platform & Public Datasets: Offers AI tools and hosts key datasets like ERA5. (AI Cloud Overview).

93. Amazon Web Services (AWS) AI & ML Services (SageMaker): Platform for building, training, deploying ML models; hosts open data. (AI Cloud Overview).

94. Microsoft Azure AI Platform: Cloud platform offering AI/ML services and integrating weather insights. (AI Cloud Overview).

95. NVIDIA Modulus: Physics-ML framework for scientific computing, used for models like FourCastNet.

96. Hugging Face Platform: Hub for sharing AI models, datasets, and demos, including some climate/weather resources.

97. Kubeflow: Open-source platform for ML operations on Kubernetes.

98. Xarray: Foundational Python library for working with labeled multi-dimensional arrays, essential for meteorological data.

99. Dask: Parallel computing library for scaling Python data analysis.

100. Zarr Format: Cloud-optimized data storage format for large arrays.

101. Jupyter Notebooks/Lab: Interactive computing environment widely used in AI/ML and data science.

🌍 Key Organizations & Consortia

102. WMO Expert Team on AI: WMO group focusing on AI standards and applications.

103. US National Science Foundation (NSF): Major funder of AI research and AI Institutes. (AI Institutes Map PDF).

104. European Commission - AI Research Funding (Horizon Europe): EU funding programs supporting AI research.

105. UK Research and Innovation (UKRI) - AI Funding: UK funding agency.

106. Frontier Development Lab (FDL): Public-private partnership applying AI to space and Earth science (NASA, ESA involved).

107. Radiant Earth Foundation: Non-profit promoting Earth observation data and ML for development.

108. Open Geospatial Consortium (OGC): Geospatial standards body relevant for AI data interoperability.

109. ESIP (Earth Science Information Partners): Community developing Earth science data best practices.

110. UNFCCC Technology Mechanism (AI for Climate Action Report): UN perspective on AI's role in climate action.

The integration of AI into meteorology is transforming our ability to understand and predict the Earth system. This extensive list provides numerous starting points for exploring this exciting field. Keep learning, as the landscape evolves daily!