Set data MACAv2-METDATA adalah kumpulan 20 model iklim global yang mencakup wilayah Amerika Serikat. Metode Multivariate Adaptive Constructed Analogs (MACA) adalah metode downscaling statistik yang menggunakan set data pelatihan (yaitu, set data observasi meteorologi) untuk menghapus bias historis dan mencocokkan pola spasial …
Set data MACAv2-METDATA adalah kumpulan 20 model iklim global yang mencakup wilayah Amerika Serikat. Metode Multivariate Adaptive Constructed Analogs (MACA) adalah metode downscaling statistik yang menggunakan set data pelatihan (yaitu, set data observasi meteorologi) untuk menghapus bias historis dan mencocokkan pola spasial …
[[["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"]],[],[],["The MACAv2-METDATA dataset, created by the University of Idaho, comprises 20 global climate models focused on the conterminous USA. It employs the Multivariate Adaptive Constructed Analogs (MACA) method for statistical downscaling. This process utilizes a meteorological observation dataset to correct historical biases and align spatial patterns. The dataset, available monthly, is tagged with terms like climate, geophysical, and MACA, providing comprehensive climate data.\n"]]
