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Hawaiian Islands bioclimatic variables for baseline and future climate scenarios

Dates

Start Date
1990
End Date
2099
Publication Date

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 [...]

Child Items (2)

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
SDC Data Owner :
Pacific Island Ecosystems Research Center
USGS Mission Area :
Ecosystems

Attached Files

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LandingPage_image_bio15.png
“Example bioclimatic variable (BIO 15) for baseline and future projections.”
thumbnail 23.37 KB image/png

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. 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.
Example bioclimatic variable (BIO 15) for baseline and future projections.
Example bioclimatic variable (BIO 15) for baseline and future projections.

Map

Spatial Services

ScienceBase WMS

Communities

  • National and Regional Climate Adaptation Science Centers
  • Pacific Island Ecosystems Research Center
  • Pacific Islands CASC
  • USGS Data Release Products

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Provenance

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9MF7SG

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