Folders: ROOT > ScienceBase Catalog > National and Regional Climate Adaptation Science Centers > Northwest CASC > FY 2012 Projects > Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest > Approved DataSets ( Show all descendants )
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ROOT _ScienceBase Catalog __National and Regional Climate Adaptation Science Centers ___Northwest CASC ____FY 2012 Projects _____Projecting Future Climate, Vegetation, and Hydrology in the Pacific Northwest ______Approved DataSets Filters
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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
This web link leads to visualizations from the Integrated Scenarios project from the Conservation Biology Institute.
This web link leads to visualizations from the Integrated Scenarios project from the Conservation Biology Institute.
Categories: Data;
Tags: Climate Scenarios,
Data Visualization & Tools,
Northwest CASC,
Science Tools for Managers,
climate,
The goal of this project was to use the latest global climate models from CMIP5 and state of the science models of vegetation and hydrology, to describe as accurately as possible what the latest science says about the Northwest’s future climate, vegetation, and hydrology. Researchers in the project began by evaluating the ability of CMIP5 models to simulate observed climate patterns in the Northwest region (Rupp et al. 2013). The researchers then used the best performing models to project likely future changes to the Northwest’s climate, hydrology, and vegetation. The dynamic global vegetation model MC2 was run with CMIP5 climate projections downscaled by John Abatzoglou (MACA method) and Katherine Hegewisch from...
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