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Welcome to JPL's OurOcean Portal

The goal of this web site is to enable users to easily access ocean science data, run data assimilation models, and visualize both data and models. The concept of OurOcean is to allow users with minimal resource requirements to access data and interact with models.

Satellite Data

Global 1-km Sea Surface Temperature (G1SST)

A daily, global Sea Surface Temperature (SST) data set is produced at 1-km (also known as ultra-high resolution) by the JPL ROMS (Regional Ocean Modeling System) group. The input SST data sets are derived from the Global High-Resolution Sea Surface Temperature (SST) Pilot Project (GHRSST-PP).

Field Experiment

Salinity Processes in the Upper Ocean Regional Study 1

SPURS is a pair of oceanographic field experiments addressing essential role of the ocean in the global water cycle using a plethora of oceanographic equipment and technology, including salinity-sensing satellites, research cruises, floats, drifters, autonomous gliders and moorings. Through careful design and international collaboration, researchers are studying salinity changes that span thousands of miles together with those happening in the top centimeter of the ocean. The SPURS-1 field campaign took place in 2012-2013. It focused on the high surface salinity, high evaporation region of the subtropical North Atlantic (see figure on the left). The field program finished when the R/V Endeavor pulled into port on October 16, 2013.

Real-Time Modeling

California Coastal Ocean

The California Coastal Ocean (CA) data assimilation and forecasting system is used for developing the capability of assimilating satellite data along with shore-based radar and in-situ observations. The focus is placed on altimetry data, which continues to remain a challenge to be assimilated into coastal ocean models. This system is based on the Regional Ocean Modeling System (ROMS). The ROMS domain encompasses the entire California coastal region out to 1000 km off shore, with a horizontal resolution of 3 km and 40 vertical levels. A multi-scale three-dimensional variational data assimilation (MS-3DVAR) system is employed.