WeatherNext 2 adalah set data eksperimental prakiraan cuaca ansambel jarak menengah global yang dihasilkan oleh model cuaca Generatif Jaringan Fungsional versi operasional Google DeepMind. Set data eksperimental tersebut mencakup data real-time dan historis. Data real-time adalah data apa pun yang terkait dengan waktu yang …
Rata-Rata WeatherNext 2 adalah rata-rata 64 ansambel dari set data eksperimental prakiraan cuaca ansambel jarak menengah global yang dihasilkan oleh model cuaca generatif Jaringan Fungsional versi operasional Google DeepMind. Untuk set data yang berisi semua anggota ansambel, lihat WeatherNext 2 … (non-mean)
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Informasi yang saya butuhkan tidak ada","missingTheInformationINeed","thumb-down"],["Terlalu rumit/langkahnya terlalu banyak","tooComplicatedTooManySteps","thumb-down"],["Sudah usang","outOfDate","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Masalah kode / contoh","samplesCodeIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],[],[],["WeatherNext Gen and WeatherNext Graph are experimental datasets providing global, medium-range weather forecasts. These datasets, produced by operational versions of Google DeepMind's models, include both real-time and historical data. WeatherNext Gen utilizes a diffusion-based ensemble model, while WeatherNext Graph uses a graphical neural network. Both datasets cover forecasts, precipitation, and temperature, and are tagged with the \"gcp-public-data-weathernext\" identifier.\n"]]
