#learningofthemonth search results

Well done to apprentice Sarah Bell for achieving May’s #learningofthemonth #behaviourandattitude #apprenticerecognition

There is still time to register for our Annual Seminar on #EarthSystem Reanalysis, which takes place in Reading (UK) from 4 to 8 September. The deadline for registration is 28 July 2023. Find out more about #AS2023 ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

What is the role of #SatelliteObservations in #NumericalWeatherPrediction? Learn about data sources, satellite data measurements, assimilation and how to monitor satellite observations in our e-learning module ➡️learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

We assimilate over 40 million observations/day, mostly from satellites, to help estimate the initial conditions to forecast the weather. Read about our work to assess the impact of new #SatelliteObservations ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

Director-General @FlorenceRabier explains the main innovations in our forecasting system upgrade to Cycle 48r1: ✔️ Higher resolution of global medium-range #EnsembleForecast ✔️ More ensemble members in the extended range ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

Interested in the history of ensemble forecasts at ECMWF? Watch the replays of the #30yearsofENS symposium held last December to learn more about the past, present & future of ensemble prediction systems ➡️ learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Our #LearningOfTheMonth theme this month is #EnsembleForecasting. Join our annual Using ECMWF's Forecasts to learn about ensembles in the medium, extended and seasonal ranges➡️learning.ecmwf.int/en-US/web/gues… Submit abstracts by 5 April and register by 28 April. #ECLearn #UEF2023

There's still time to register for our four-day course on ECMWF's new @Atos high-performance computing services. 📅 2-5 May 2023 at our headquarters in Reading (UK). Details at ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn #HPC

#MachineLearning can improve the classification of events by severity and cause. Read our article and learn how #ML helps with the detection of observation anomalies ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

The theme of our 'Featured' section this month is 'Ensemble Forecasting'.  Learn about the concepts behind #ensembleforecasting and #ECMWF products in the medium, extended and seasonal ranges, joining our online course: learning.ecmwf.int/en-US/web/gues… #learningofthemonth  #ECLearn

Interested in #extremeweather? Enrol for our online course on the ECMWF Ensemble Forecast System (ENS), the Extreme Forecasts Index (EFI) and the Shift of Tails (SOT) to better forecast severe weather events. Info: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Learn how ECMWF products successfully covered the heavy snowfall in Denmark and Sweden last December. A full article can be accessed in our ‘Featured’ section: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

High productivity is a skill, that can be learned. #learningofthemonth

ECMWF is running a course this week on how to better use and interpret ECMWF products. For self-study lessons on ECMWF products, e.g. the Extreme Forecast Index and ensemble forecasting, visit learning.ecmwf.int/en-US/web/gues… and look under ‘Forecasting’. #learningofthemonth #ECLearn

Well done to apprentice Sarah Bell for achieving May’s #learningofthemonth #behaviourandattitude #apprenticerecognition

The Meteorological Archival and Retrieval System (MARS) is where the #data produced at ECMWF daily is stored and available to users. This lesson will help you deal with complex MARS requests and use its compute capability. learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Learn how ECMWF products successfully covered the heavy snowfall in Denmark and Sweden last December. A full article can be accessed in our ‘Featured’ section: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

ECMWF is running a course this week on how to better use and interpret ECMWF products. For self-study lessons on ECMWF products, e.g. the Extreme Forecast Index and ensemble forecasting, visit learning.ecmwf.int/en-US/web/gues… and look under ‘Forecasting’. #learningofthemonth #ECLearn

Want to learn about software and applications used at ECMWF? Online computing training week will give you the opportunity to know new tools and computing activities at the Centre. When? 13-17 June 2022. More details here: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Extended-range forecasts provide an overview of the forecast for the coming 46 days, focusing on the week-to-week changes in the weather. Learn more in our featured section this month: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

ECMWF is running a course on the use of #MachineLearning in the domain of #EarthScience from 3–6 May. This is just one of several machine learning initiatives summarised here: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

To learn more about the #dataassimilation methods and general aspects of assimilating #observations, check out this 5-day in-person course at ECMWF, in Reading (UK) When? From 28 Feb to 4 March 2022 More details here: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

#stormfilomena affected Spain with extreme snowfall in large areas of the interior in January 2021. Find out how the Integrated Forecasting System #IFS successfully predicted this historic snowfall event well in advance: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Interested in #extremeweather? Enrol for our online course on the ECMWF Ensemble Forecast System (ENS), the Extreme Forecasts Index (EFI) and the Shift of Tails (SOT) to better forecast severe weather events. Info: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

We assimilate over 40 million observations/day, mostly from satellites, to help estimate the initial conditions to forecast the weather. Read about our work to assess the impact of new #SatelliteObservations ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

The Extreme Forecast Index (EFI) and the Shift of Tails (SOT) index provide guidance for forecasting #extremeweather Learn more about how EFI, SOT and Model climate are built, their strengths and weaknesses at learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

#MachineLearning can improve the classification of events by severity and cause. Read our article and learn how #ML helps with the detection of observation anomalies ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

There is still time to register for our Annual Seminar on #EarthSystem Reanalysis, which takes place in Reading (UK) from 4 to 8 September. The deadline for registration is 28 July 2023. Find out more about #AS2023 ➡️ learning.ecmwf.int/en-US/web/gues… #LearningOfTheMonth #ECLearn

As part of ECMWF strategy to 2030 to provide more skilful forecasts, the #MachineLearning roadmap plays a relevant role: #AI becoming part of the whole numerical weather prediction and climate services workflow. Learn more: learning.ecmwf.int/en-US/web/gues… #learningofthemonth  #ECLearn

The theme of our 'Featured' section this month is 'Ensemble Forecasting'.  Learn about the concepts behind #ensembleforecasting and #ECMWF products in the medium, extended and seasonal ranges, joining our online course: learning.ecmwf.int/en-US/web/gues… #learningofthemonth  #ECLearn

The Scalable Acquisition and Pre-Processing (SAPP) system is the ECMWF operational acquisition and pre-processing system for #observations. This introductory online course will give you a comprehensive view of SAPP. Info: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Interested in the history of ensemble forecasts at ECMWF? Watch the replays of the #30yearsofENS symposium held last December to learn more about the past, present & future of ensemble prediction systems ➡️ learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn

Want to learn about the core scientific and numerical elements of the Numerical Weather Prediction model? This hands-on course offers the chance of experimenting with #OpenIFS 16-20 May 2022 at ECMWF, Reading Details: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn #NWP

For enthusiasts keen on the latest advances and challenges in high-resolution numerical modelling of the #atmosphere and #ocean, this 5-day course meets their expectations 25-29 Apr 2022 at ECMWF, Reading More info: learning.ecmwf.int/en-US/web/gues… #learningofthemonth #ECLearn #NWP