DAYMET¶
Back to meteorological datasets
| Field | Value |
|---|---|
| Description | Daymet offers daily surface meteorological data for North America, including variables such as temperature, precipitation, and radiation. Spanning from January 1980 to December 2022, it provides data at a 1 km spatial resolution. The dataset supports ecological, hydrological, and agricultural research. |
| Folder | /datasets/meteorological/ORNL_Daymet |
| Discipline | Meteorology / Climate Sciences / Earth Science |
| DOI | 10.3334/ORNLDAAC/2129 |
| Link | Access Data |
| Public | true |
| Publication Date | 2022-11-01 |
| Downloaded | 2024-10-17 |
| Time Resolution | Daily (Jan 1980 - Dec 2022) |
| Spatial Resolution | 1km - North America |
| Data Type | netCDF-4 |
| Dataset Size | 3.6T |
| Number of Files | 309 |
| Usage | $ module avail |
| Usage Policy Link | |
| Usage Policy | All Daymet data are publicly available, without restriction, according to the NASA Earth Observing System Data and Information System (EOSDIS) Data Use Policy. A NASA Earthdata Login account is generally required to download data. Users should cite the dataset (authors, version, DOI) when using the data. The data are distributed in CF-compliant netCDF format via web services (THREDDS, OPeNDAP), pre-packaged files, and web APIs (e.g. single-pixel access). The data are labelled as “provisional and subject to revision” (i.e. there may be future updates or corrections). For third-party or embedded content (e.g. images or materials not produced by Daymet/ORNL), additional permission may be needed where not covered by standard NASA / ORNL terms. The ORNL DAAC also supports standard web service and geospatial protocols (e.g. OGC WMS/WCS) for visualization and subset download. |
| Citation | Thornton, M. M., Shrestha, R., Wei, Y., Thornton, P. E., & Kao, S.-C. (2022). Daymet: Daily Surface Weather Data on a 1-km Grid for North America, Version 4 R1 (Version 4.1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/2129 |
| BibTeX | 📜 View BibTeX citation@dataset{thornton_daymet_v4r1_2022, |