Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions

Taereem Kim; Gabriele Villarini; James M. Done; Andreas F. Prein; David R. Johnson; Chao Wang

doi:10.1038/s41597-025-05366-1

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Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions

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Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions

Taereem Kim, Gabriele Villarini, James M. Done, Andreas F. Prein, David R. Johnson and Chao Wang

Scientific data, Vol.12(1), 1089

07/01/2025

DOI: 10.1038/s41597-025-05366-1

PMCID: PMC12217018

PMID: 40593751

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Abstract

While high-resolution future climate data are increasingly available for the contiguous United States, there has been limited focus on Alaska and Hawaii. Our study provides high resolution daily climate data —precipitation and temperature —at 10 km for Alaska and 1 km for Hawaii, based on 23 climate models from the Coupled Model Intercomparison Project Phase 6 and four scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The dataset includes outputs from different bias correction techniques (seven for precipitation, six for temperature). While one method (i.e., empirical quantile mapping) generally outperforms the others, its performance can vary by climate quantity, region, or climate model, motivating our aim to provide an ensemble dataset of bias-corrected outputs. Our results show that, on average, Alaska and Hawaii are projected to become warmer (6.7 °C and 5.8 °C) and wetter (46% and 31%) by the end of the 21st century for high-emissions scenarios compared to the historical period, despite large regional variability. Our dataset aims to support climate research, mitigation and adaptation strategies, and risk assessments for Alaska and Hawaii.

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Title: Subtitle: Ensemble downscaled climate dataset for Alaska and Hawaii under historical and future conditions
Creators: Taereem Kim - Princeton University
Gabriele Villarini - Princeton University
James M. Done - NSF National Center for Atmospheric Research
Andreas F. Prein - NSF National Center for Atmospheric Research
David R. Johnson - Purdue University West Lafayette
Chao Wang - University of Iowa
Resource Type: Journal article
Publication Details: Scientific data, Vol.12(1), 1089
DOI: 10.1038/s41597-025-05366-1
PMID: 40593751
PMCID: PMC12217018
NLM abbreviation: Sci Data
ISSN: 2052-4463
eISSN: 2052-4463
Publisher: Nature Publishing Group UK
Grant note: U.S. Department of Defense (United States Department of Defense)Department of Defense's (DoD) Environmental Security and Technology Certification Program (ESTCP)
This project/work was funded by the Department of Defense's (DoD) Environmental Security and Technology Certification Program (ESTCP) in fiscal year 2022. The content of the project should not be considered as an endorsement by the DoD.
Language: English
Date published: 07/01/2025
Academic Unit: Industrial and Systems Engineering
Record Identifier: 9984843742002771

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