Description
To support high spatial- and temporal-resolution land surface modeling, this dataset provides 3-hourly time step historic weather forcing at 1-km spatial resolution for Puerto Rico and surrounding islands. The latest Daymet V4 data provides gridded historic daily weather observation at 1-km spatial resolution from 1950 to present. Using sub-daily temporal information from two meteorological reanalysis datasets (GSWP3 and NARR), Daymet was further temporally downscaled to 3-hourly time steps and provided in the format required for land surface model simulations. The process of temporal downscaling preserves the relative magnitude in each sub-daily time step from GSWP3 and NARR while maintaining the total and average values from Daymet at each day. These result in two blended datasets: 1950-2014 Daymet-GSWP3 and 1979-2019 Daymet-NARR. Available variables include surface air temperature, precipitation, specific humidity, shortwave and longwave radiation, wind speed, and pressure. These data can be used as a high-resolution meteorological forcing dataset to support high-resolution land surface modeling where accurate meteorological forcing datasets built from historic observations and/or reanalysis datasets are desirable.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Download this dataset | HTML | This link allows direct data access via Earthdata login | Open resource |
| Get a related visualization | PNG | Images of annual climatologies derived from sub-daily variables of a) surface temperature, b) precipitation, c) shortwave radiation, d) specific humidity and e) surface pressure for Puerto Rico and surrounding islands. | Open resource |
| View documentation related to this dataset | HTML | ORNL DAAC Data Set Documentation | Open resource |
| View documentation related to this dataset | Sub-daily Climate Forcings for Puerto Rico: Daymet_SubDaily_Puerto_Rico.pdf | Open resource | |
| The dataset's project home page | HTML | Project site | Open resource |
| This dataset's landing page | HTML | Data set Landing Page DOI URL | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |