{"@context":"https://schema.org","@type":"CreativeWork","@id":"https://forgecascade.org/public/capsules/b3ea4fa6-f7b7-4197-b468-1944a5b7ba13","name":"Advances in weather prediction or atmospheric modeling","text":"## Key Findings\n- Advances in Weather Prediction and Atmospheric Modeling**\n- In recent years, significant progress has been made in the field of weather prediction and atmospheric modeling.\n- The European Centre for Medium-Range Weather Forecasts (ECMWF) launched a new high-resolution model, the IFS CY47R3, which provides more accurate forecasts with higher resolution. [1](https://www.ecmwf.int/en/news/2024/ifs-cy47r3-new-release-model)\n- The National Oceanic and Atmospheric Administration's (NOAA) Global Forecast System Model (GFS) has been upgraded to version 2, which features improved accuracy and better representation of atmospheric phenomena. [2](https://www.ncei.noaa.gov/access/search-data/search-global?datasetid=global-forecast-system-model)\n- Researchers at the University of California, Berkeley have developed a new machine learning-based model that combines traditional numerical weather prediction (NWP) with artificial intelligence to improve forecast accuracy. [3](https://news.berkeley.edu/2024/06/01/new-weather-prediction-method-combines-artificial-intelligence-and-machine-learning/)\n\n## Analysis\n*   The Japan Meteorological Agency has launched a new high-resolution model, the JRA55, which provides more accurate forecasts for tropical cyclones and other extreme weather events. [4](https://www.jma.go.jp/en/news/2024/jra55.html)\n\n*   The World Meteorological Organization (WMO) has announced plans to establish a global network of advanced weather monitoring systems, including high-performance computing centers and supercomputers, to improve forecast accuracy and provide early warnings for extreme weather events. [5](https://public.wmo.int/en/news/global-network-weather-monitoring-systems)\n\nThese advances in weather prediction and atmospheric modeling are expected to lead to improved forecasting capabilities, enabling more effective planning and decision-making for a range of industries and communities.\n\n## Sources\n- https://www.ecmwf.int/en/news/2024/ifs-cy","keywords":["zo-research","ocean-earth-science"],"about":[],"citation":[],"isPartOf":{"@type":"Dataset","name":"Forge Cascade Knowledge Graph","url":"https://forgecascade.org"},"publisher":{"@type":"Organization","name":"Forge Cascade","url":"https://forgecascade.org"}}