ECMWF Users

✨𝗢𝘂𝗿 𝘆𝗲𝗮𝗿 𝗶𝗻 𝗿𝗲𝘃𝗶𝗲𝘄: 𝗸𝗲𝘆 𝗵𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀 𝘁𝗵𝗮𝘁 𝗱𝗲𝗳𝗶𝗻𝗲𝗱 2️⃣0️⃣2️⃣4️⃣✨ With this LinkedIn channel we set out to build a tailored space for our user community - to cover your technical information needs. Read up if you missed a story!👇 📢𝗡𝗲𝘄𝘀 & 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁𝘀 ✅The latest upgrade to our Integrated Forecasting System is operational: 𝗖𝘆𝗰𝗹𝗲 𝟰𝟵𝗿𝟭 produces more Open Data, introduces new Thermal Indices and simulated satellite data, and enhances Sub-seasonal and Medium-range Forecasting ➡️ https://lnkd.in/ekF4vtvS ✅The new 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗲 and 𝗔𝘁𝗺𝗼𝘀𝗽𝗵𝗲𝗿𝗶𝗰 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗲 are live. The front-end web interface, the back-end software engine and the underlying cloud infrastructure hosting the services and core data repositories are all new, alongside features such as OGC compliant APIs, Integrated EQC function and 𝗘𝗮𝗿𝘁𝗵𝗞𝗶𝘁 for data handling and exploitation ➡️ https://lnkd.in/ecNHt7PG ✅More 𝗢𝗽𝗲𝗻 𝗗𝗮𝘁𝗮 is available under a free licence (namely a "CC-4.0-BY" license) with an enhanced resolution of 0.25 x 0.25 degrees. In addition, index files are provided to extract the exact data segments to save time and optimise computational resources ➡️ https://lnkd.in/ef8KWQvp ✅The new 𝗝𝘂𝗽𝘆𝘁𝗲𝗿𝗛𝘂𝗯 service is available to access computing resources in an interactive way. You can enjoy reproducible research practices, text editors with syntax highlighting and auto-completion, terminal consoles for direct system interaction, image/document displayers and much more ➡️ https://lnkd.in/d-2WNQW4 ✅𝗢𝗽𝗲𝗻𝗘𝗖𝗣𝗗𝗦 launched as an open-source operational acquisition and dissemination system of ECMWF’s real-time data ➡️ https://lnkd.in/dPymftRC 📅𝗘𝘃𝗲𝗻𝘁𝘀 & 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀 📌Our 𝗨𝘀𝗶𝗻𝗴 𝗘𝗖𝗠𝗪𝗙’𝘀 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝘀 (UEF) event, first online and then as a workshop at @EMS in Barcelona, provided a forum to discuss the use and performance of ECMWF’s products. Recordings & presentations ➡️https://lnkd.in/dVU8Cvq8 📌We trained 1956 of our users during 𝟮𝟮 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗲𝘃𝗲𝗻𝘁𝘀, both online and at our HQ in Reading. Overview & presentations ➡️ https://bit.ly/4gjOKcD 🚨Even more dedicated training courses are scheduled for 2025! Stay tuned and book your calendars ➡️https://lnkd.in/eaHBJX8 -- Thank you for following us, for your comments and your feedback on our channel - all your engagement online and offline is much appreciated.

🤝𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 & 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗳𝗼𝗿 𝗘𝗮𝗿𝗹𝘆 𝗪𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗶𝗻 𝗔𝗳𝗿𝗶𝗰𝗮 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝗮𝘁 𝗘𝗖𝗠𝗪𝗙’𝘀 𝗕𝗼𝗻𝗻 𝗼𝗳𝗳𝗶𝗰𝗲🤝 As part of the UN’s Africa Network of Centres of Excellence for Disaster Risk Reduction initiative, two experts from ICPAC and the Tanzania Meteorological Agency spent eight days meeting colleagues from ECMWF to share knowledge on weather forecasting, including severe weather and climate-related events. The visit also included a workshop with the United Nations University - Institute for Environment and Human Security (UNU-EHS), the @United Nations Platform for Space-based Information for Disaster Management and Emergency Response (UN-SPIDER), the The University of Bonn, the German Aerospace Center (DLR) and ECMWF to discuss upcoming project activities in Africa across these organisations. During their visit, both delegates highlighted the valuable insights they gained regarding ECMWF forecast products, particularly with the use of 𝗲𝗰𝗖𝗵𝗮𝗿𝘁𝘀 software, which provides a suite of web-based applications to inspect, explore and visualise ECMWF forecast data in an interactive way. One expert commented: "It was a great opportunity to get an understanding of how to utilize the ECMWF products for our operations".  𝗦𝘁𝗿𝗲𝘁𝗰𝗵 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻 - 𝘂𝗽𝗰𝗼𝗺𝗶𝗻𝗴 𝗮𝗰𝘁𝗶𝘃𝗶𝘁𝗶𝗲𝘀 The upcoming Africa-EU Partnership - Space for Early Warnings in Africa (SEWA) project aims to develop space-based services and tools to strengthen Early Warning Systems of hazardous weather and climate-related events across Africa. This initiative is a tripartite contribution among ECMWF, EUMETSAT and the African Union Commission. 𝗘𝗖𝗠𝗪𝗙’𝘀 𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝘄𝗶𝗹𝗹 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻: 🌍Preparation and provision of access to a package of ECMWF weather & Copernicus data and products 🌍Co-design pilots on Impact-based Forecast services and tools demonstrators to advise on early warning tools for hazardous Weather and Climate events in each of the four African regions, including the Indian Ocean Islands 🌍Provision of Cloud infrastructure resources to run applications close to ECMWF data with dedicated support and expertise 🌍Training activities for practitioners via train-the-trainer events ℹ️As always, in case of further questions please contact our support team via the ECMWF Support Portal https://support.ecmwf.int

🌍 𝗪𝗲𝗯𝗶𝗻𝗮𝗿: 𝗘𝗖𝗠𝗪𝗙 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 𝗳𝗼𝗿 𝗪𝗠𝗢 𝗠𝗲𝗺𝗯𝗲𝗿𝘀 🌍 We want to make sure that the largest possible number of National Meteorological and Hydrological Services can benefit from our products and services. Tomorrow, on Thursday 1️⃣2️⃣ December, a delegation of ECMWF colleagues will present our two services 𝗲𝗰𝗖𝗵𝗮𝗿𝘁𝘀 and 𝗪𝗲𝗯 𝗠𝗮𝗽 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗪𝗠𝗦) to the WMO Community!    This seminar will: ✅ Highlight the availability of ecCharts for WMO Members under ECMWF's latest data policy changes, supporting the Early Warnings for All initiative ✅ Showcase the range of functions within ecCharts, including product customisation ✅ Explore how graphical products enhance access for developing countries and improve national early warning systems ✅ Showcase the collaborative efforts made possible by ECMWF’s Member and Co-operating States    👉 More Information: https://lnkd.in/d_pVZ3zg   #EarlyWarningsForAll #ecCharts #WeatherInnovation

📢 𝗡𝗲𝘄 𝗼𝗻𝗹𝗶𝗻𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝘀𝗲𝗿𝗶𝗲𝘀: 𝘿𝙞𝙨𝙘𝙤𝙫𝙚𝙧 𝘼𝙣𝙚𝙢𝙤𝙞 By popular demand, we’ll be hosting our very first series of training webinars on our Anemoi framework over the weeks of 13 to 30 January 2025. Anemoi is a collaborative and open-source python-based framework for developing machine learning weather forecasting models, developed by ECMWF and national meteorological services across Europe. 𝘋𝘪𝘴𝘤𝘰𝘷𝘦𝘳 𝘈𝘯𝘦𝘮𝘰𝘪 will feature six webinars, demonstrating the use of key components of the Anemoi ecosystem. The webinars will cover:  📌13 January: An introduction to Anemoi  📌15 January: Creating datasets  📌21 January: Building graphs  📌23 January: Training models  📌28 January: Inference  📌30 January: Contributing as a developer Please note that these webinars are aimed at a technical audience and assume some familiarity with machine learning and weather forecasting. More details about the event and registration: https://lnkd.in/e34fq8iD 𝗧𝗵𝗲𝘀𝗲 𝘄𝗲𝗯𝗶𝗻𝗮𝗿𝘀 𝗮𝗿𝗲 𝗼𝗽𝗲𝗻 𝘁𝗼 𝗮𝗹𝗹 𝗮𝗻𝗱 𝘄𝗲 𝗵𝗼𝗽𝗲 𝘁𝗼 𝘀𝗲𝗲 𝘆𝗼𝘂 𝗽𝗹𝗲𝗻𝘁𝘆 𝗼𝗳 𝘆𝗼𝘂 𝘂𝘀𝗲𝗿𝘀 𝘁𝗵𝗲𝗿𝗲! --- Further reading and support: 🔗Our recent Newsletter article about Anemoi: https://bit.ly/4g8EhjT  🔗Our fantastic AIFS blog: https://bit.ly/416QEbS 🔗 Our Help Desk: https://support.ecmwf.int/

🛰️ 𝗡𝗲𝘄 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗲𝗱 𝗦𝗮𝘁𝗲𝗹𝗹𝗶𝘁𝗲 𝗱𝗮𝘁𝗮 🛰️ Excited for the new EUMETSAT Meteosat Third Generation system (MTG-I1) becoming operational this year? We at ECMWF are 𝙩𝙝𝙧𝙞𝙡𝙡𝙚𝙙 and we have prepared something too! With the IFS Cycle 49r1 upgrade, we are introducing new simulated satellite data that replicate the top-of-the-atmosphere visible reflectance and brightness temperature data from the Flexible Combined Imager (FCI) on the MTG-I1 satellite. 📡 𝗪𝗵𝗮𝘁 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝘄𝗶𝗹𝗹 𝗯𝗲 𝗮𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲? We have added 8️⃣ new channels! 📌Parameter Cloudy reflectance is available in one near infra red and four visible channels:  🔹Channel 1 - VIS0.4 - Visible band centred on 0.4µm 🔹Channel 2 - VIS0.5 - Visible band centred on 0.5µm 🔹Channel 3 - VIS0.6 - Visible band centred on 0.6µm 🔹Channel 4 - VIS0.8 - Visible band centred on 0.8µm 🔹Channel 7 - NIR1.6 - Near-infrared band centred on 1.6µm 📌Parameter Cloudy brightness temperature is available in one infra red and two water vapour channels: 🔹Channel 10 - WV6.3 - Water Vapour band centred on 6.3µm 🔹Channel 11 - WV7.3 - Water Vapour band centred on 7.3µm 🔹Channel 14 - IR10.5 - Infrared band centred on 10.5µm 📡 The new channels will enhance our view of the atmosphere and provide valuable insights for extreme weather forecasting. They will also enable the users to, for the first time, replicate EUMESAT's RGB composite images. 📡 Some of the new channels are already visualised via the ecCharts platform. This will soon include one of the RGB composites as well! 𝗟𝗲𝘁 𝘂𝘀 𝗸𝗻𝗼𝘄 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗴𝗲𝘁 𝗼𝗻! -- Further reading and support: 🔗 More on the new products: https://bit.ly/4eMnemG 🔗 A recent Newsletter article: https://bit.ly/3OsZ59S 🔗 Our Help Desk: https://support.ecmwf.int/

🌤️ 𝟰𝟵𝗿𝟭 𝗲𝗻𝗵𝗮𝗻𝗰𝗲𝘀 𝗦𝘂𝗯-𝘀𝗲𝗮𝘀𝗼𝗻𝗮𝗹 𝗮𝗻𝗱 𝗠𝗲𝗱𝗶𝘂𝗺-𝗿𝗮𝗻𝗴𝗲 𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁𝗶𝗻𝗴! We have rolled out a new Re-forecast configuration for both Sub-seasonal and Medium-range systems, to improve the accuracy, calibration, and usability of our forecasts. This update is designed to support better skill assessment and year-over-year comparability for re-forecasts. ❓𝗪𝗵𝗮𝘁 𝗶𝘀 𝗮 "𝗥𝗲-𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁"? It's a set of forecasts run on the same calendar date over several years in the past (20 years, in our case). Those are typically used to assess forecast system performance, but also to estimate a model climate to which results of the forecast system can be compared. Model climate is used in some of our products displayed in hashtag #Charts: 🔹15-day ensemble meteograms 🔹Extreme Forecast Index products 🔹Weekly mean anomalies in Sub-seasonal forecasts 📅 𝗡𝗲𝘄 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗲 With the new Re-forecast schedule we are moving away from the delivery on Mondays and Thursdays ➡️ to a monthly fixed-day schedule. The alignment of producing Re-forecasts on specific days each month enables direct comparisons between Re-forecasts across different years and with seasonal Re-forecasts. The frequencies of the Re-forecasts deliveries are as follows: 🔹Medium-range Re-forecasts every 4️⃣ days (1st, 5th, 9th, etc. of the month) 🔹Extended-range Re-forecasts every 2️⃣ days (1st, 3rd, 5th, etc. of the month) ➡️These changes allow for more flexible week-based forecasts and open up new possibilities for dual-resolution ensemble products, helping us deliver more accurate, calibrated forecasts to users. This might look like a small change, but it has big consequences! 🚩 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Re-forecast Users need to adapt their workflows! Until now, it was possible to receive the Sub-seasonal Re-forecast data twice a week on fixed days (Monday and Thursday) and choose to receive the forecast data on those same days as well. With the updated schedule, as we produce the Re-forecast data every other day, this will no longer be possible. If the users set the keyword use=monday/thursday they would receive the Re-forecast data only on one of those days each week (as 7 famously does not divide by 2 😉) ✅ 𝗪𝗼𝗿𝗸𝗮𝗿𝗼𝘂𝗻𝗱: With the current keywords, the recommendation for our dissemination users is to apply the following to every block where the stream=eefh was used: use=sunday/monday/wednesday/thursday This way it is guaranteed that at least one Re-forecast will be sent that can be used on a Monday and a Thursday! 𝗟𝗲𝘁 𝘂𝘀 𝗸𝗻𝗼𝘄 𝗵𝗼𝘄 𝘆𝗼𝘂 𝗴𝗲𝘁 𝗼𝗻! -- Further reading and support: 🔗 49r1 Sub-Seasonal re-forecast changes: https://bit.ly/4hTRfUo 🔗 Our Help Desk: https://support.ecmwf.int/

🌡️ 𝗖𝘆𝗰𝗹𝗲 𝟰𝟵𝗿𝟭 𝗶𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗻𝗲𝘄 𝗧𝗵𝗲𝗿𝗺𝗮𝗹 𝗜𝗻𝗱𝗶𝗰𝗲𝘀 🌡️ We are excited to announce the addition of 9️⃣ new parameters to our forecasting products, all designed to provide a deeper understanding of thermal comfort and environmental conditions as they affect humans. The new parameters, calculated using the thermofeel Python library, include: 🔹Apparent Temperature 🔹Heat Index 🔹Humidex 🔹Normal Effective Temperature 🔹Universal Thermal Climate Index 🔹Wet Bulb Globe Temperature 🔹Wind Chill Factor 🔹Mean Radiant Temperature 🔹Globe Temperature 🚀 This milestone builds on the work already done in our TRIGGER EU Project (Solu𝗧ions fo𝗥 m𝗜ti𝗚atin𝗚 climate-induced h𝗘alth th𝗥eats) and the Copernicus Climate Change Service (C3S - Copernicus ECMWF) 📊 The first seven parameters are measures of environmental heat and cold as it affects humans. The mean radiant temperature is an ancillary variable from which the globe temperature is derived. 📅 The parameters are available from time step T+1 to T+90h at hourly intervals, from time step T+93h to T+144 at 3-hour intervals, and from T+150 to T+360 at 6-hour intervals. Forecasts are updated twice a day. 🌤️ The first set of five new parameters, including Universal Thermal Climate Index, Wet bulb globe temperature and Wind Chill Factor are already available on our ecCharts platform for easier access to the forecasters of all WMO National Meteorological Services. 🗺️ They are also publicly available in our Open Charts catalogue for the whole world for the first 6 days of the forecast. 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 ➡️ 𝗥𝗲𝗽𝗿𝗼𝗱𝘂𝗰𝗶𝗯𝗹𝗲 𝗦𝗰𝗶𝗲𝗻𝗰𝗲! As part of our efforts towards more open and reproducible science, we have made the 𝘁𝗵𝗲𝗿𝗺𝗼𝗳𝗲𝗲𝗹 𝗣𝘆𝘁𝗵𝗼𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 open source, so users can calculate the indices themselves in the same way we do. And not only these indices, but many more! 👩💻 Want to have a try? Visit the GitHub page: https://lnkd.in/eKqCmQjP 𝗪𝗵𝘆 𝗱𝗼 𝘁𝗵𝗲𝘀𝗲 𝗶𝗻𝗱𝗶𝗰𝗲𝘀 𝗺𝗮𝘁𝘁𝗲𝗿? These thermal indices are crucial for public health and safety, as they allow us to predict weather-related conditions that can affect well-being and offer actionable data on thermal stress. We see the growing need for forecasts that consider the negative impact of extreme heat and cold on human health! -- 🔗𝗔𝗰𝗰𝗲𝘀𝘀 𝘁𝗼 𝗻𝗲𝘄 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀: https://lnkd.in/eRi-APUf 🔗𝗡𝗲𝘄 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀 𝘂𝘀𝗲𝗿 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: https://bit.ly/48SihYb 🔗 𝟰𝟵𝗿𝟭 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗽𝗮𝗴𝗲: https://bit.ly/3Z2zV89 🔗 𝗨𝘀𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: https://support.ecmwf.int/

📣 𝟰𝟵𝗿𝟭 𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝘀 𝗺𝗼𝗿𝗲 𝗢𝗽𝗲𝗻 𝗗𝗮𝘁𝗮 - 𝘆𝗼𝘂 𝗮𝘀𝗸𝗲𝗱, 𝘄𝗲 𝗹𝗶𝘀𝘁𝗲𝗻𝗲𝗱!📣 One of the highlights introduced by Cycle upgrade 49r1 is that we will now produce more data under our Open Data policy: 𝗣𝗿𝗲𝘃𝗶𝗼𝘂𝘀𝗹𝘆 𝗺𝗶𝘀𝘀𝗶𝗻𝗴 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀  🔹 Minimum temperature in the past 3 hours (mn2t3) 🔹 Maximum temperature in the past 3 hours (mx2t3) 👏 Huge thanks to the ECMWF Production Section colleagues for making these work – we know they were sought after! 𝗨𝘀𝗲𝗿-𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝗲𝗱 𝗻𝗲𝘄 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀 We’re excited to say we included 3️⃣ new parameters specifically requested by our users through our recent Open Data User Survey: 🔹Precipitation Type (ptype) 🔹Total Precipitation Rate (tprate) 🔹10m forecast gust (10fg) 💡 Curious if your city will see snow, rain, freezing rain or sleet by midday tomorrow? Access our real-time instantaneous precipitation type forecast in our Open Data, combine it with the complementary instantaneous precipitation rate and create a custom forecast tool! We’d love your feedback on how you apply these new parameters! ➡️ https://support.ecmwf.int/ 𝗚𝗿𝗶𝗯 𝗲𝗻𝗰𝗼𝗱𝗶𝗻𝗴 𝗰𝗵𝗮𝗻𝗴𝗲𝘀  49r1 also introduces encoding changes in our Open Data Parameters - these Open Data parameters will now be provided in the correct GRIB2 encoding: 🔹STL1/STL2/STL3/STL4 are replaced by ➡️ sot (https://lnkd.in/eqRKQFS4) 🔹SWVL1/SWVL2/SWVL3/SWVL4 are replaced by ➡️ vsw (https://lnkd.in/e93wPZPb) ✅ Please remember to make the necessary changes to your workflows, scripts & access methods to make sure you fully support GRIB2! 𝗦𝗮𝘆 𝗴𝗼𝗼𝗱𝗯𝘆𝗲 𝘁𝗼 𝗹𝗼𝘄-𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗱𝗮𝘁𝗮! The previous 0.4-degree data (0p4-beta directory) is being discontinued on Tuesday 2️⃣7️⃣ November 2024. All users should now migrate to the 0.25-degree resolution data (0p25 directory), which has a larger parameter dataset, better spatial resolution and can be compared with the AIFS at 0.25 degrees. ✅ We recommend you switch to the latest ecCodes (2.38.3) to ensure the GRIB encoding changes associated with the new Cycle 49r1 and the new Open Data can be used. We look forward to seeing these products appear in your services and hope we can make further changes in the coming months! 𝗔𝗻𝗱 𝗳𝗶𝗻𝗮𝗹𝗹𝘆, 𝗮 𝗵𝘂𝗴𝗲 𝗧𝗛𝗔𝗡𝗞 𝗬𝗢𝗨! To every single one of our users who completed the recent ECMWF Open Data Survey. We received a very large number of responses, and we're looking forward to going through more of your requests to see how we can improve our Open Data provision further. 𝗦𝘁𝗮𝘆 𝘁𝘂𝗻𝗲𝗱 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝗶𝗻-𝗱𝗲𝗽𝘁𝗵 𝟰𝟵𝗿𝟭 𝗰𝗵𝗮𝗻𝗴𝗲 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴 𝗱𝗮𝘆𝘀! -- 🔗𝟰𝟵𝗿𝟭 𝗲𝘅𝗽𝗹𝗮𝗶𝗻𝗲𝗿: http://bit.ly/40LfZbh 🔗 𝟰𝟵𝗿𝟭 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗽𝗮𝗴𝗲: https://bit.ly/3Z2zV89 🔗 𝗠𝗧𝗚𝟮 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗽𝗮𝗴𝗲: https://lnkd.in/eaVrbe4g

The latest upgrade to our Integrated Forecasting System is now operational! Cycle 49r1 improves in particular wind and temperature forecasts by changing:  ➡️ data assimilation  ➡️ the use of observations  ➡️ the forecast model Read more ➡️ https://lnkd.in/ekF4vtvS And, follow ECMWF Users for more details on #IFS49r1 #newfcsystem

🌍 𝗘𝗖𝗠𝗪𝗙 𝗢𝗻𝗹𝗶𝗻𝗲 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗪𝗲𝗲𝗸 𝗶𝘀 𝗯𝗮𝗰𝗸! 🌍 Every two years, we host a series of Computing webinars designed to bring existing and new users the latest updates in our software and computing services. This year’s sessions will introduce new tools, platforms, and enhancements to help you maximise the value of ECMWF resources. Don’t miss out — register now! 📅 𝟮𝟬𝟮𝟰 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 𝗧𝗼𝗽𝗶𝗰𝘀: 1️⃣ 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝘁𝗼 𝘁𝗵𝗲 𝗡𝗲𝘄 𝗖𝗼𝗽𝗲𝗿𝗻𝗶𝗰𝘂𝘀 𝗖𝗹𝗶𝗺𝗮𝘁𝗲 𝗗𝗮𝘁𝗮 𝗦𝘁𝗼𝗿𝗲 (𝗖𝗗𝗦) – An overview of the new CDS and ADS, featuring applications like the Copernicus Interactive Climate Atlas and Climate Pulse. [Monday 18 November 14:00 UTC] 2️⃣ 𝗘𝗮𝗿𝘁𝗵𝗞𝗶𝘁 – Dive into our new Python toolkit for efficient Earth system data analysis, processing, and visualization. [Tuesday 19 November 10:00 UTC] 3️⃣ 𝗝𝘂𝗽𝘆𝘁𝗲𝗿𝗛𝘂𝗯 𝗼𝗻 𝗔𝗧𝗢𝗦 𝗛𝗣𝗖 – Learn how running Jupyter notebooks on our HPC system can transform your workflows. [Tuesday 19 November 14:00 UTC] 4️⃣ 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗕𝗨𝗙𝗥 𝗗𝗮𝘁𝗮 𝘂𝘀𝗶𝗻𝗴 𝗲𝗰𝗖𝗼𝗱𝗲𝘀 – A practical session on accessing and processing BUFR data with Python. [Thursday 21 November 10:00 UTC] 5️⃣ 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘁𝗼 𝗚𝗥𝗜𝗕𝟮 𝗙𝗼𝗿𝗺𝗮𝘁 – Get the latest updates on ECMWF’s full transition to the WMO GRIB2 format. [Thursday 21 November 14:00 UTC] 6️⃣ 𝗘𝘂𝗿𝗼𝗽𝗲𝗮𝗻 𝗪𝗲𝗮𝘁𝗵𝗲𝗿 𝗖𝗹𝗼𝘂𝗱 – Discover how this joint cloud platform with EUMETSAT offers seamless access to critical meteorological data. [Friday 22 November 10:00 UTC] 👉 Read more about each webinar and register for each of the sessions: 🔗 https://lnkd.in/ebAc_zZx 𝗪𝗲 𝗵𝗼𝗽𝗲 𝘁𝗼 𝘀𝗲𝗲 𝘆𝗼𝘂 𝘀𝗼𝗼𝗻! #ECMWF #WeatherData #ClimateScience #HPC #EarthKit #Copernicus #DataScience #Meteorology