Operational Weather ☁️ Forecasting
👓 Dorling SteveOperational Weather ☁️ Forecasting
✅ This book 📚️ offers a complete primer, covering 📔 the end 🔚-to-end 🔚 process of forecast production, and ➕ bringing together a description of all the relevant aspects together in a single volume; with plenty of explanation of some of the more complex issues and ➕ examples of current, state-of-the-art 🎨 practices. Operational Weather ☁️ Forecasting covers 📔 the whole process of forecast production, from understanding the nature of the forecasting problem, gathering the observational data with which to initialise and ➕ verify forecasts, designing and ➕ building 🏢 a model (or models) to advance those initial conditions forwards ⏩️ in time ⏱️ and ➕ then interpreting the model output and ➕ putting it into a form which is relevant to customers of weather ☁️ forecasts. Included is the generation of forecasts on the monthly-to-seasonal timescales, often excluded in text-books 📚️ despite this type of forecasting having been undertaken for several years. This is a rapidly developing 👨💻️ field 🏑, with a lot of variations in practices between different forecasting centres. Thus the authors have tried to be as generic as possible when describing aspects of numerical model design and ➕ formulation. Despite the reliance on NWP, the human forecaster still has a big 📐🐘 part to play ▶️ in producing weather ☁️ forecasts and ➕ this is described, along with the issue of forecast verification – how forecast centres measure their own performance 🎭️ and ➕ improve upon it. Advanced undergraduates and ➕ postgraduate students 👨🎓️ will use this book 📚️ to understand how the theory comes ⤵️ together in the day-to-day applications of weather ☁️ forecast production. In addition, professional weather ☁️ forecasting practitioners, professional users of weather ☁️ forecasts and ➕ trainers will all find 🔎 this new 🆕 member of the RMetS Advancing Weather ☁️ and ➕ Climate series a valuable tool 🔪. Provides an end 🔚-to-end 🔚 description of the weather ☁️ forecasting process Clearly structured and ➕ pitched at an accessible ♿️ level 🎚️, the book 📚️ discusses the practical choices that operational forecasting centres have to make 🛠️ in terms of what numerical models they use and ➕ when they are run 🏃♂️. Takes a very ❗️ practical approach, using real life 🧬 case-studies to contextualize information ℹ️ Discusses the latest advances in the area, including ensemble methods, monthly to seasonal range prediction and ➕ use of ‘nowcasting’ tools 🔪 such as radar and ➕ satellite 🛰️ imagery Full 🌝 colour throughout Written 🖋️ by a highly respected team of authors with experience in both academia and ➕ practice. Part of the RMetS book 📚️ series ‘Advancing Weather ☁️ and ➕ Climate’
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