Description
NASA produces skin sea surface temperature (SST) products from the Infrared (IR) channels of the Moderate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite. Aqua was launched by NASA on May 4, 2002, into a sun synchronous, polar orbit with a daylight ascending node at 1:30 pm, formation flying in the A-train with other Earth Observation Satellites (EOS), to study the global dynamics of the Earth atmosphere, land and oceans. MODIS captures data in 36 spectral bands at a variety of spatial resolutions. Two SST products can be present in these files. The first is a skin SST produced for both day and night (NSST) observations, derived from the long wave IR 11 and 12 micron wavelength channels, using a modified nonlinear SST algorithm intended to provide continuity of SST derived from heritage and current NASA sensors. At night, a second SST product is generated using the mid-infrared 3.95 and 4.05 micron wavelength channels which are unique to MODIS; the SST derived from these measurements is identified as SST4. The SST4 product has lower uncertainty, but due to sun glint can only be used at night. MODIS L2P SST data have a 1 km spatial resolution at nadir and are stored in 288 five minute granules per day. Full global coverage is obtained every two days, with coverage poleward of 32.3 degree being complete each day. The production of MODIS L2P SST files is part of the Group for High Resolution Sea Surface Temperature (GHRSST) project and is a joint collaboration between the NASA Jet Propulsion Laboratory (JPL), the NASA Ocean Biology Processing Group (OBPG), and the Rosenstiel School of Marine and Atmospheric Science (RSMAS). Researchers at RSMAS are responsible for SST algorithm development, error statistics and quality flagging, while the OBPG, as the NASA ground data system, is responsible for the production of daily MODIS ocean products. JPL acquires MODIS ocean granules from the OBPG and reformats them to the GHRSST L2P netCDF specification with complete metadata and ancillary variables, and distributes the data as the official Physical Oceanography Data Archive (PO.DAAC) for SST. The R2019.0 supersedes the previous R2014.0 datasets which can be found at https://doi.org/10.5067/GHMDA-2PJ02
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View this dataset's user's guide | Documentation on the GDS version 2 format specification | Open resource | |
| Download this dataset through a directory map | NetCDF | HTTPS endpoint for data browse and download | Open resource |
| View documentation related to this dataset | HTML | Group for High Resolution Sea Surface Temperature information | Open resource |
| View this dataset's data recipes | HTML | Generic data readers | Open resource |
| View this dataset's data recipes | HTML | Jupyter python notebook to create a gridded "data cube" | Open resource |
| View this dataset's algorithm theoretical basis document | Algorithm Theoretical Basis Document | Open resource | |
| View the documentation for this dataset's algorithms | HTML | Long-Wave Sea Surface Temperature (SST4) documentation | Open resource |
| View the documentation for this dataset's algorithms | HTML | Short-Wave Sea Surface Temperature (SST4) documentation | Open resource |
| View documentation related to this dataset | HTML | Data Quality Flag description | Open resource |
| View this dataset's processing history | HTML | Release Notes | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| View documentation related to this dataset | HTML | PO.DAAC Forum Page | Open resource |
| Get a related visualization | JPG | Thumbnail | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |
| Download this dataset through Earthdata Search | HTML | Browse granule search results in Earthdata Search | Open resource |
| View documentation related to this dataset | HTML | GHRSST Project Office homepage | Open resource |