Hawaiian Islands bioclimatic variables for baseline and future climate scenarios
We integrated recent climate model projections developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. We derived updated bioclimatic variables from new projections of baseline and future monthly minimum, mean, and maximum temperature (Tmin, Tmean, Tmax) and mean precipitation (Pmean) data at 250 m resolution. We used observation-based data for the baseline bioclimatic variables from the Rainfall Atlas of Hawai’i. We used the most up-to-date dynamically downscaled future projections based on the Weather Research and Forecasting (WRF) model from the International Pacific Research Center (IPRC) and the National Center for Atmospheric Research (NCAR). We summarized [...]
Citation Information
| Publication Year | 2022 |
|---|---|
| Title | Hawaiian Islands bioclimatic variables for baseline and future climate scenarios |
| DOI | 10.5066/P9MF7SG |
| Authors | Lucas Fortini, Lauren R Kaiser |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Pacific Island Ecosystems Research Center |
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Bioclimatic variables dataset for baseline and future climate scenarios for climate change studies in Hawai'i
Gridded bioclimatic variables representing yearly, seasonal, and monthly means and extremes in temperature and precipitation have been widely used for ecological modeling purposes and in broader climate change impact and biogeographical studies. As a result of their utility, numerous sets of bioclimatic variables have been developed on a global scale (e.g., WorldClim) but rarely represent the fineAuthorsLucas Fortini, Lauren R. Kaiser, Lulin Xue, Yaping Wang - Connect