ECMWF Users’ Post

Want to know the news from our computing side? Join the Online Computing Training week to hear the updates about CDS&ADS and Migration to GRIB2, learn how to do first steps with EarthKit on JupyterHub and discover how European Weather Cloud can be useful for your organisation! Working with the observations? We will also have a webinar on using ecCodes Python for BUFR data!

How to filter satellite image Collection and create the composite using Google Earth Engine Recorded class link: in the comment section. These online live training classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on these people who don't know any programming language and Earth Engine function. We cover LULC mapping, change detection Analysis, Air Quality Monitoring, Monitoring Particulate Matter (PM2.5), Evapotranspiration, Water logging, Urban Heat Island (UHI), UFTVI, Urban growth monitoring, Urban spawral, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, Hyperparameters Tunning, Improving the accuracy, Practical project on GEE and more. #registrationopen for a new batch of 7 days of Complete online live training on #googleearthengine for #remotesensing & #gis Analysis for Beginners to Advanced level for non-coders who don't have any knowledge in programming language. Brush up your knowledge and learn the new advanced geospatial technology. Class Start: 19th July, 2024 Admission Last Date: 18th July, (1st 10 registered people get 50% discount). Now only a few seats are available. To get this 50% discount hurry up for registration. For registration contact this WhatsApp number: +8801780942798 or email: rmijanur10266@gmail.com For booking the upcoming online training program, Visit our website: link in the comment section Total Class: 7 days (Friday and Saturday in Week) Class Duration: 3 hours (Each day) Time: 9:00 P.M to 12:00 A.M (GMT +6) Training language: English Course Content check from our website: website link attached in the comment section. #RemoteSensing #Agriculture #SatelliteImagery #WaterManagement #SustainableAgriculture #GIS #CropMonitoring #SoilMoisture #NDVI #Landsat #GoogleEarthEngine #DataAnalysis #PrecisionAgriculture #EnvironmentalMonitoring #EarthObservation

Dear friends, I'm thrilled to share that our YouTube channel focused on Weather Research and Forecasting (WRF) model and Numerical Weather Prediction has reached 565 subscribers! 🎉 Over the past few months, I've enjoyed creating content that helps the community install and use WRF in various settings, and I'm deeply grateful for the support and engagement. But we're just getting started! 🚀 🔍 **What's Next?** Stay tuned for upcoming videos where I'll dive deeper into: - **Various Physics Options in WRF** 🌩️ - **Nested Domain Runs** 🌀 - **Data Assimilation Techniques** 📊 - **Cyclone Simulations** 🌪️ - **Global WRF Applications** 🌍 - **WRF-Chem for Atmospheric Chemistry** 💨 - **Coupling WRF with Ocean Models** 🌊 These tutorials are designed to elevate your understanding and application of advanced weather and climate modeling tools. Thank you for being part of this journey. Let’s continue learning and innovating together! 🌟 please consider subscribing the channel for more related updates on WRF, climate modelling and AI and weather forecasting. link: https://lnkd.in/gNkshe7n #WeatherResearch #WRF #NumericalWeatherPrediction #MachineLearning #ClimateModeling #DataAssimilation #CycloneSimulations #WRFChem #OceanModeling #Milestone https://lnkd.in/g9RCah9q

Bonsoir Les Amis~ This topic made me realize that we have now reached the age to be aware of house prices and the factors that influence them. Studying regression is very useful for predicting house prices, as well as what variables influence house prices. Types of regression include Linear Regression, Polynomial Regression, Support Vector Regression, Decision Tree Regression, Random Forest Regression. We also learn about Application Programming Interfaces (APIs). A mechanism that allows two software components to communicate with each other using a set of definitions and protocols. For example, Indonesian Agency for Meteorological, Climatological and Geophysics (BMKG) software system contains daily weather data. The following is the material studied at Digital Skola that my team and I compiled. Hope you enjoy the process of learning Data Science :) #DataScience #BootcampDataScience #DigitalSkola

How to filter satellite image Collection and create the composite using Google Earth Engine Recorded class link: in the comment section. These online live training classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on these people who don't know any programming language and Earth Engine function. We cover LULC mapping, change detection Analysis, Air Quality Monitoring, Monitoring Particulate Matter (PM2.5), Evapotranspiration, Water logging, Urban Heat Island (UHI), UFTVI, Urban growth monitoring, Urban spawral, Time series analysis, calculating any Indices, Supervised Classification, Unsupervised Classification, Machine Learning Methods, NDVI change detection, Hyperparameters Tunning, Improving the accuracy, Practical project on GEE and more. #registrationopen for a new batch of 7 days of Complete online live training on #googleearthengine for #remotesensing & #gis Analysis for Beginners to Advanced level for non-coders who don't have any knowledge in programming language. Brush up your knowledge and learn the new advanced geospatial technology. Class Start: 19th July, 2024 Admission Last Date: 18th July, (1st 10 registered people get 50% discount). Now only a few seats are available. To get this 50% discount hurry up for registration. For registration contact this WhatsApp number: +8801780942798 or email: rmijanur10266@gmail.com For booking the upcoming online training program, Visit our website: link in the comment section Total Class: 7 days (Friday and Saturday in Week) Class Duration: 3 hours (Each day) Time: 9:00 P.M to 12:00 A.M (GMT +6) Training language: English Course Content check from our website: website link attached in the comment section. #RemoteSensing #Agriculture #SatelliteImagery #WaterManagement #SustainableAgriculture #GIS #CropMonitoring #SoilMoisture #NDVI #Landsat #GoogleEarthEngine #DataAnalysis #PrecisionAgriculture #EnvironmentalMonitoring #EarthObservation

A new open-source AI foundation weather model from IBM Research and NASA-IMPACT is added to our #awesome-#weather-#models list! 🚀 The model is called Prithvi WxC and is a 2.3 billion parameter transformer-based encoder-decoder architecture. What is cool with this new model is that it really aims to be a foundational building block that others can use to create specialised fine-tuned models with. As a matter of fact, with this release also comes two examples of downstream use cases: - IBM Research built a fine-tuned model for downscaling (also called super-resolution) - NASA-IMPACT built a fine-tuned model for improving gravity wave modelling (which is notoriously difficult for physics-based weather models) Really inspiring to see such a great collab on #openscience from IBM Research and NASA-IMPACT 👏 Check out Prithvi WxC in our #awesome-#weather-#models list and make sure to give a ⭐ to keep track of feature releases of AI-based weather models! Github repo: https://lnkd.in/d3b26TWa #aiweather #openscience #opensource #collaboration

This paper (one of two as part of our research group) was a real journey! Thank you so much to the amazing Xiaojian Zhang for first authoring it. In this research, we brought together a team of computer scientists, seismologists, development psychologists, building engineers, and other social scientists, to model different types of protective actions during earthquakes. We braided research strands together that included video data of human behavior, modeling unreinforced masonry building performance during shaking, earthquake shaking, and different protective actions and then built an adaptive machine learning program to mix these all together to build this paper. This is a methods paper more than anything else but what we found is that we can pretty accurately model what different types of behaviors can be useful in different earthquake scenarios in different buildings. HOW COOL IS THAT? The human implication here is the potential for more refined protective actions based on individual circumstances e.g. what building people are in here, how far away they are from shaking etc...in future.

🌍 Unlock the Power of Machine Learning for Land Use and Land Cover Classification! 🌍 Are you looking to advance your skills in Land Use and Land Cover (LULC) classification using cutting-edge technologies like Google Earth Engine and ArcMap? Join our upcoming online training program, starting on 15th November, where we’ll dive deep into: Using Machine Learning algorithms to classify LULC How to leverage Google Earth Engine for large-scale geospatial analysis ArcMap techniques for accurate and detailed mapping This training is perfect for: GIS professionals looking to enhance their technical toolkit Researchers working in environmental science, urban planning, and resource management Anyone passionate about applying AI and geospatial data for sustainable development! 🚨 Registration is now open! 🚨 Grab your spot today and enjoy a 50% discount. Don’t miss this opportunity to level up your geospatial analysis skills with real-world applications! 👉 Register now and secure your discounted seat: Registration info Link attached in the comment section 👇 #LandUse #LandCover #MachineLearning #GoogleEarthEngine #ArcMap #GIS #GeospatialAnalysis #SustainableDevelopment #OnlineTraining #GIScience #LULC #DataScience #RemoteSensing

🌍 Unlock the Power of Machine Learning for Land Use and Land Cover Classification! 🌍 Are you looking to advance your skills in Land Use and Land Cover (LULC) classification using cutting-edge technologies like Google Earth Engine and ArcMap? Join our upcoming online training program, starting on 15th November, where we’ll dive deep into: Using Machine Learning algorithms to classify LULC How to leverage Google Earth Engine for large-scale geospatial analysis ArcMap techniques for accurate and detailed mapping This training is perfect for: GIS professionals looking to enhance their technical toolkit Researchers working in environmental science, urban planning, and resource management Anyone passionate about applying AI and geospatial data for sustainable development! 🚨 Registration is now open! 🚨 Grab your spot today and enjoy a 50% discount. Don’t miss this opportunity to level up your geospatial analysis skills with real-world applications! 👉 Register now and secure your discounted seat: Registration info Link attached in the comment section 👇 #LandUse #LandCover #MachineLearning #GoogleEarthEngine #ArcMap #GIS #GeospatialAnalysis #SustainableDevelopment #OnlineTraining #GIScience #LULC #DataScience #RemoteSensing

Day 23 of #30DayMapChallenge | Memory This is my alma mater, the university that foster my academic year in my undergrad ABE and on going master degree in engineering. I will never forget the 5 years in the university and counting. This map was made to honor my University. I've used mostly the OSM and google earth map to capture and digitize some missing polygons. This is not the official and precise map of the campus. Still I have fun making this map and it was so satisfying to finish. #Usepyano #Campus #GIS #USeP