Hawaiian Islands bioclimatic variables for baseline and future climate scenarios
Dates
Start Date
1990
End Date
2099
Publication Date
2022-06-09
Citation
Berio Fortini, L., and Kaiser, L.R., 2022, Hawaiian Islands bioclimatic variables for baseline and future climate scenarios: U.S. Geological Survey data release, https://doi.org/10.5066/P9MF7SG.
Summary
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 [...]
Summary
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 the monthly data from these two projections into a suite of 19 bioclimatic variables that provide detailed information about annual and seasonal mean climatic conditions specifically for the Hawaiian Islands. These bioclimatic variables are available state-wide for three climate scenarios: baseline climate (1990-2009) and future climate (2080-2099) under RCP 4.5 (IPRC projections only) and RCP 8.5 (both IPRC and NCAR projections). As Hawai’i is characterized by two 6-month seasons, we also provide mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate.
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LandingPage_image_bio15.png “Example bioclimatic variable (BIO 15) for baseline and future projections.”
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Related External Resources
Type: Related Primary Publication
Berio Fortini, L., L. R. Kaiser, L. Xue, and Y. Wang. 2022. Bioclimatic variables dataset for baseline and future climate scenarios for climate change studies in Hawai'i. Data in Brief 45:108572. Available: https://doi.org/10.1016/j.dib.2022.108572.
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. Recognizing the value of having such regionally downscaled products, we integrated more detailed projections from recent climate models developed for the State of Hawai’i with current climatological datasets to generate updated regionally defined bioclimatic variables. The resulting dataset provides a more robust set of climate products to use for modeling purposes, impact studies, and management planning. These bioclimatic variables can be key when explaining the current distribution and predicting future variation in species richness under a changing climate and are also relevant to a wider range of studies and can be used to better understand trends in human health, agriculture, and more.
Preview Image
Example bioclimatic variable (BIO 15) for baseline and future projections.