Hawaiian Islands annual and mean seasonal variables for baseline and future (RCP 4.5 and RCP 8.5) 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). Aside from these typical bioclimatic variables, we also calculated annual and mean seasonal variables for all scenarios based on the dry (May-October) and wet (November-April) seasonality of Hawaiian climate. 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.

Contacts

Point of Contact :: Lucas B Fortini
Originator :: Lucas B Fortini, Lauren R Kaiser
Metadata Contact :: Lucas B Fortini
Publisher :: U.S. Geological Survey
Distributor :: U.S. Geological Survey - ScienceBase

Attached Files

Click on title to download individual files attached to this item.

3_hawaii_seasonal_means.xml Original FGDC Metadata	View	26.98 KB	application/fgdc+xml
annual.zip “Annual variables, 16 files”		19.61 MB	application/zip
drySeason.zip “Dry season variables, 16 files”		19.62 MB	application/zip
wetSeason.zip “Wet season variables, 16 files”		19.61 MB	application/zip

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.	https://doi.org/10.1016/j.dib.2022.108572

Purpose

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. This newly updated set of gridded variables that represent yearly, seasonal, and monthly means and extremes in temperature and precipitation available at a finer regional scale pattern of climate in Hawai’i can now be used for ecological modeling purposes and for local climate change impact and biogeographical studies. The resulting dataset provides a more robust set of climate products to use for modeling purposes, impact studies, and management planning. They 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.

Hawaiian Islands annual and mean seasonal variables for baseline and future (RCP 4.5 and RCP 8.5) climate scenarios

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