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Downscaled CHELSA projections for the Hawaiian Islands under four representative concentration pathways (RCPs; 2.6, 4.5, 6.0, and 8.5) for 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 show steps to improve the utility of two such global datasets (CHELSA and WorldClim2) to provide credible climate scenarios for regional climate change impact studies. 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 [...]

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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CHELSA_all_file_names.csv 15.58 KB text/csv
future_chelsa_scenarios.zip
“Future CHELSA scenarios”
19.83 MB application/zip

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 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 in data poor regions.

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Communities

  • Pacific Island Ecosystems Research Center

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