-
MACAv2-METDATA 月度摘要:爱达荷大学,应用于全球气候模型的多变量自适应构造类比
MACAv2-METDATA 数据集是涵盖美国本土的 20 个全球气候模型的集合。多变量自适应构建类比 (MACA) 方法是一种统计降尺度方法,它利用训练数据集(即气象观测数据集)来消除历史偏差并匹配空间模式… climate conus geophysical idaho maca monthly -
MACAv2-METDATA:爱达荷大学,应用于全球气候模型的多变量自适应构建类比
MACAv2-METDATA 数据集是涵盖美国本土的 20 个全球气候模型的集合。多变量自适应构建类比 (MACA) 方法是一种统计降尺度方法,它利用训练数据集(即气象观测数据集)来消除历史偏差并匹配空间模式… climate conus geophysical idaho maca monthly
Datasets tagged idaho in Earth Engine
[null,null,[],[],["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"]]