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Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios

Dates

Start Date
2040
End Date
2079
Publication Date

Citation

Berio Fortini, L., and Kaiser, L.R., 2022, Hawaiian Islands downscaled climate projections for baseline (1983-2012), mid- (2040-2059), and late-century (2060-2079) scenarios: U.S. Geological Survey data release, https://doi.org/10.5066/P94IHW4X.

Summary

Global downscaled projections are now some of the most widely used climate datasets in the world, however, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we apply steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for climate change impact studies in Hawaii. Our approach is based on three steps: 1) Using a standardized baseline period, comparing available global downscaled projections with regional observation-based datasets and regional downscaled datasets (if available); 2) bias correcting projections using observation-based data; and 3) creating ensembles to make use of the differential strengths [...]

Child Items (4)

Contacts

Point of Contact :
Lucas B Fortini
Originator :
Lucas B Fortini, Lauren R Kaiser
Metadata Contact :
Lucas B Fortini
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Pacific Island Ecosystems Research Center
USGS Mission Area :
Ecosystems

Attached Files

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baseline_mat_map_fig.png
“Baseline models for mean annual temperature and precipitation.”
thumbnail 11.99 KB image/png

Purpose

The associated uncertainties of future climate projections are one of the biggest obstacles to overcome in studies exploring the potential regional impacts of future climate shifts in Hawaii. In remote and climatically complex regions, the limited number of available downscaled projections does not provide an accurate representation of the underlying uncertainty in future climate or the possible range of potential scenarios. These regionally-adapted projections provide a more robust set of diverse yet plausible scenarios of future climate to use in regional impact studies, and associated management and planning.
Baseline models for mean annual temperature and precipitation.
Baseline models for mean annual temperature and precipitation.

Map

Spatial Services

ScienceBase WMS

Communities

  • National and Regional Climate Adaptation Science Centers
  • Pacific Island Ecosystems Research Center
  • Pacific Islands CASC
  • USGS Data Release Products

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P94IHW4X

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