Data Servers Serving up MACA

Northwest Knowledge Network (University of Idaho)

The MACA website provides specific directions on how to access the MACA data on NKN:

The gridded 1/16-deg(~6km) MACAv2-LIVNEH dataset

The gridded 1/24-deg(4km) MACAv1-METDATA dataset

The gridded 1/24-deg(4km) MACAv2-METDATA dataset

GeoData Portal (USGS)

The gridded 1/24-deg(4km) MACAv2-METDATA dataset is available on the Geo Data Portal(GDP). The GDP provides tools on their site for the subsetting or area-averaging of MACA data. See introduction and our tutorial .

Google Earth Engine (Google)

The gridded 1/24-deg(4km) MACAv2-METDATA dataset is available on the Google Earth Engine data catalog. See MACA data catalog

North Carolina State Climate Office (North Carolina State University)

The gridded 1/16-deg(~6km) MACAv2-LIVNEH dataset is available on North Carolina Climate Office's THREDDS server. Historical (1950-2005) and Future (2006-2099)

Climate Tools Using MACA

NW Climate Toolbox

The gridded 1/24-deg (4-km) MACAv2-METDATA dataset is being utilized by several projects at the University of Idaho to create a set of decision support tools for agriculture, fire, drought applications in the Pacific Northwest (and USA). These tools feature a climate dashboard and visualization of past,present,short term and long term future climates and a tool for accessing locations of crop suitability(now and in the future) using cold hardiness zones.

PINEMAP Decision Support Tool

The gridded 1/16-deg(~6km) MACAv2-LIVNEH dataset is being used/visualized in the decision support tools provided by the Pine Integrated Network: Education, Mitigation, and Adaptation Project (PINEMAP) for studying planted loblolly pine forests in the Southeast US.

CONUS Climate Console

The gridded 1/24-deg (4-km) MACAv2-METDATA dataset is being utilized by the Conservation Biology Institute to create a set of decision support tools. These tools feature mapping and graphs of future climate data.

Earth System CoG

The gridded 1/24-deg(4 km) MACAv1-METDATA dataset was available as a dataset on the Earth System CoG tool. This was a project out of NOAA to attempt to get many downscaled datasets as well as training datasets in one common area so that on-the-fly comparisons could be made.

Code for MACA

NCL Code for Computing Forest Stress Drought Index (FDSI) Projections

Code (written in NCL) for computing annual projections of the Forest Stress Drought Index (FDSI) utilizing MACAv2-METDATA is being provided by Imtiaz Rangwala and shared on Github.

R Code for Accessing MACA Data

The North Central Climate Adapatation Science Center (CASC) has released an R packed called Climate Futures Toolbox (cst 0.1.0) with the goal to provide easy climate data access (MACA v2) to support climate scenario planning.This package allows you to:

Quickly acquire climate data subsets for a spatial region of interest, with first class support for US National Parks

Summarize climate data at daily timesteps, and compute derived quantities

Contrast reference and target time periods to understand differences in climate over time, and

Easily work with climate data, without having to worry about the details of how it is stored or formatted

Climate Change Studies Using MACA

U.S. Forest Service

The gridded 1/24-deg(4-km) MACAv2-METDATA dataset is being used to analyze future projections for an update to the 2010 Resource Planning Act (RPA) Assessment done by the U. S. Forest Service. The RPA Assessment includes analyses of forests, rangelands, wildlife and fish, biodiversity, water, outdoor recreation, wilderness, urban forests, and the effects of climate change on these resources.

Seattle Public Utilities: Water Management

The gridded 1/16-deg(~6km) MACAv2-LIVNEH dataset was bias corrected to station locations along the Tolt and Cedar River watersheds to be used by Seattle Public Utilities with their Hydrocomp hydrologic model in investigating the effects of future hydrologic changes on their management of water for the City of Seattle, Washington, USA.

Portland Water Bureau: Drinking Water Management

The gridded 1/16-deg (~6-km) MACAv2-LIVNEH dataset was bias corrected to a modified Livneh dataset for 20 grid cells covering the Bull Run watershed. This data will be used by Portland Water Bureau using the Precipitation-Runoff Modeling System (PRMS) hydrologic model to investigate ithe effects of future hydrologic changes on the management of drinking water for the City of Portland, Oregon, USA.

Southern Nevada Water Authority:

The gridded 1/24-deg (4-km) MACAv1-METDATA dataset is being used to analyze future projections of available ground water in the Great Basin National Park area in order to look at the feasibility of a pipeline from the region to Las Vegas, Nevada, USA.

Regional Approaches to Climate Change(REACCH)

The gridded 1/24-deg (4-km) MACAv1-METDATA dataset was utilized by the REACCH project to run crop modelling with CropSyst to look at future effects (growing conditions, pests, weeds, earth worms,etc) on wheat growing regions in the Pacific Northwest, USA.

Integrated Scenarios of the Future Northwest Environment

The Integrated Scenarios of the Future Northwest Environment was a project funded by the Northwest Climate Science Center to produce a consistent set of future projections of climate, hydrology and vegetation for the Pacific Northwest, USA. MACA was used in this project to produce the following climate datasets and to forcethe VIC hydrology model and MC2 and 3-PG vegetation models.

The gridded 1/16-deg (~6-km) MACAv2-LIVNEH dataset is being utilized by the University of Washington as climate data to be input to two hydrologic models: the Variable Infiltration Capacity(VIC) model and the Unified Land Model (ULM) to provide gridded future hydrologic data for the Western United States.

The gridded 1/24-deg (4-km) MACAv1-METDATA dataset is being utilized by the Conservation Biological Institute as climate data to be input to two vegetation models: the MC2 dynamic global vegetation cover model and the 3-PG(Physiological Principles Predicting Growth) forest growth model to provide gridded future vegetation data for the Western United States.

Hydrologic Response of the Columbia River Basin to Climate Change

The Columbia River Climate Change project was partially funded by the Bonneville Power Administration(BPA) to produce streamflow information for the Columbia River and coastal drainages in Washington and Oregon State for the 21st century based on a large number of climate scenarios and model experiments. The research team consisted of researchers in the UW Hydro | Computational Hydrology research group at the University of Washington and the Oregon Climate Change Research Institute at Oregon State University. MACA was used in this project to force several hydrologic models.

Dataset of the aridity index, relative humidity, average temperature and vapor pressure deficits projections

A dataset of projections of the aridity index, relative humidity and average temperature and vapor pressure deficits utilizing the MACAv2-METDATA have been calculated by Imtiaz Rangwala and are hosted on USGS's Science Base Catalog. This dataset provides downscaled climate projections at 800m spatial resolution for nine ecologically-relevant climate variables for the north central US region between 35.5N-49N latitude and 88W-118W longitude from 12 Coupled Model Intercomparison Project - Phase 5 (CMIP5) climate model simulations (6GCMs x 2RCPs) which are downscaled using the Multivariate Adaptive Constructed Analog (MACA) method. These projections are available as five different (approximately) 30-year climate normals between 1950 and 2099 as monthly values, except for Aridity Index which are annual values. The five periods for which these climate normals are provided are 1950-1979 and 1980-2005 in the historic, and 2011-2040, 2041-2070 and 2071-2099 in the future.

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