Dynamical Downscaled and Projected Climate for the US Pacific Islands
Includes Guam, Kauai, Oahu, Samoa
Dates
Publication Date
2016-12-19
Start Date
1990
End Date
2080
Citation
Zhang, C., 2016, Dynamical Downscaled and Projected Climate for the US Pacific Islands: U.S. Geological Survey Sciencebase, https://doi.org/10.21429/ss35-k236.
Summary
The present-day run starts on January 1st 1990 and ends on December 31st 2009. The purpose of the present-day run is twofold, e.g., to retrieve the present-day climate and to provide the downscaled high-resolution climate data. The future runs include two scenarios, one for RCP4.5 and the other one for RCP8.5. The future runs represent the time period from January 1st 2080 to December 31st 2099 although the date stamps used for projections are the same as those for the present-day run. The dynamical downscaling provides hourly atmospheric and land surface variables, such as rainfall, surface sensible heat fluxes and evaporation, radiative fluxes, wind, and temperature. These data were previously hosted on the cida.usgs.gov THREDDS [...]
Summary
The present-day run starts on January 1st 1990 and ends on December 31st 2009. The purpose of the present-day run is twofold, e.g., to retrieve the present-day climate and to provide the downscaled high-resolution climate data. The future runs include two scenarios, one for RCP4.5 and the other one for RCP8.5. The future runs represent the time period from January 1st 2080 to December 31st 2099 although the date stamps used for projections are the same as those for the present-day run. The dynamical downscaling provides hourly atmospheric and land surface variables, such as rainfall, surface sensible heat fluxes and evaporation, radiative fluxes, wind, and temperature.
These data were previously hosted on the cida.usgs.gov THREDDS server in netCDF format.
In 2024, the data were converted to zarr and transitioned to a cloud-based infrastructure.
An optimal chunking scheme was implemented, and additional metadata were added where necessary to improve the functionality of the dataset (e.g., CRS variable). For further documentation of these workflows, see the GDP data processing repository here: https://code.usgs.gov/wma/nhgf/geo-data-portal/gdp_data_processing. For data access instructions, please see the "readme" file attached here.
This project produced very high resolution climate projections for the Hawaiian islands of O‘ahu and Kaua‘i, providing information on key variables of interest to decision makers such as rainfall, air temperature, and tropical cyclone patterns.
