Evidence map›Paper›PMID 40593751›Full record

ArticleScientific data2025

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

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Taereem KimDepartment of Civil and Environmental Engineering, Princeton University, Princeton, USA.
Gabriele VillariniDepartment of Civil and Environmental Engineering, Princeton University, Princeton, USA. gvillari@princeton.edu.ORCID http://orcid.org/0000-0001-9566-2370
James M DoneNSF National Center for Atmospheric Research, Boulder, USA.ORCID http://orcid.org/0000-0002-1007-835X
Andreas F PreinNSF National Center for Atmospheric Research, Boulder, USA.
David R JohnsonSchool of Industrial Engineering, Purdue University, West Lafayette, USA.
Chao WangDepartment of Industrial and Systems Engineering, University of Iowa, Iowa City, USA.ORCID http://orcid.org/0000-0002-3262-653X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID40593751
PMCPMC12217018

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.