Geography

Document Type

Article

Abstract

Hawaiʻi’s complex topography, pronounced microclimates, and geographic isolation make coarse-scale global climate model output inadequate for local planning, and high-resolution climate projections tailored to the state have until now been lacking. To address this gap, we introduce the NASA Earth eXchange Hawaiʻi Downscaled Climate Projections CMIP6 (NEX-HIDCP-CMIP6), a new archive of downscaled historical and future climate projections based on output from Phase 6 of the Coupled Model Intercomparison Project (CMIP6) over the State of Hawaiʻi. The dataset covers the years 1950–2100 and includes three variables (maximum temperature, minimum temperature, and precipitation) from five CMIP6 experiments (the historical experiment and the four Tier 1 scenarios: SSP1.2–6, SSP2.4–5, SSP3.7–0, and SSP5.8–5) as available from thirty CMIP6 models. The downscaled products are provided at 250-meter horizontal resolution and daily temporal resolution and were generated using the daily Bias Correction Spatial Disaggregation (BCSD) method against previously published 250-meter gridded observations from the Hawaiʻi Climate Data Portal. Technical validation confirms that the downscaled fields reproduce the expected geographic distribution of temperature and precipitation, with ensemble-mean precipitation generally within ±2% of the gridded observations and temperature means within 0.04 °C. NEX-HIDCP-CMIP6 complements two other NEX products, NEX-GDDP-CMIP6 and NEX-DCP30-CMIP6, fills a critical geographic gap in downscaled climate products for the United States, and is freely available through the NASA Advanced Supercomputing Data Portal. © 2026 The Author(s).

Publication Title

Data in Brief

Publication Date

8-2026

Volume

68

ISSN

2352-3409

DOI

10.1016/j.dib.2026.113204

Keywords

BCSD, bias correction spatial disaggregation, climate change, statistical downscaling

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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Geography Commons

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