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Multivariate Adaptive Constructed Analogs(MACA) Statistical Downscaling Method

Dates

Acquisition
2012

Citation

Multivariate Adaptive Constructed Analogs(MACA) Statistical Downscaling Method: .

Summary

The Multivariate Adaptive Constructed Analogs(MACA)(Abatzoglou, Brown, 2011) 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 in climate model output. The following products are available: MACAv1-METDATA is available for the Western USA, while MACAv2-LIVNEH/MACAv2-METDATA are available over the entire conterminous USA. MACAv2-LIVNEH/MACAv2-METDATA both use the newest version of the MACA method (version 2), while MACAv1-METDATA uses version 1. Both methods are very similar to that described by Abatzoglou and Brown, 2011. MACAv2-METDATA

Contacts

Funding Agency :
Northwest CSC

Communities

  • National and Regional Climate Adaptation Science Centers
  • Northwest CASC

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