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MACAv2-METDATA: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly -
MACAv2-METDATA Monthly Summaries: University of Idaho, Multivariate Adaptive Constructed Analogs Applied to Global Climate Models
The MACAv2-METDATA dataset is a collection of 20 global climate models covering the conterminous USA. The Multivariate Adaptive Constructed Analogs (MACA) method is a statistical downscaling method which utilizes a training dataset (i.e. a meteorological observation dataset) to remove historical biases and match spatial patterns … climate conus geophysical idaho maca monthly
[null,null,[],[[["The MACAv2-METDATA datasets provide data from 20 global climate models downscaled for the conterminous United States."],["These datasets utilize the Multivariate Adaptive Constructed Analogs (MACA) method to reduce biases and refine spatial patterns in climate data."],["MACA leverages observed meteorological data for training, enhancing the accuracy of the climate models."],["Both daily and monthly summaries of the downscaled climate data are available."]]],[]]