The PO.DAAC is pleased to announce the public release of the Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020) dataset collected by a NASA funded salinity project (NNX17AK07G). The Seaglider is an autonomous profiler measuring salinity and temperature in the upper ocean. The objective of this project, led by a team from the Applied Physics Laboratory at the University of Washington, was to develop in-situ tools and strategies to better measure the structure and variability of upper-ocean salinity in rain-dominated environments. Three Seagliders were deployed near Guam (~14°N, 144°E) from October 2019 to January 2020 to measure the upper ocean temperature and salinity with a dive depth of 1000 meters and horizontal spacing varying from 1 to 60 km. Data samples are gridded by profile and on regular depth bins (1-m) from 0 to 1000 m. The time and spatial intervals between two successive profiles are approximately 3 hours and 1.5 km, respectively. These profiles are available at Level 2 (basic gridding) and Level 3 (despiked and interpolated). View the data animation for one of the Seagliders here: https://podaac.jpl.nasa.gov/animations/Adaptive-Sampling-of-Rain-and-Ocean-Salinity-from-Autonomous-Seagliders
Applied Physics Laboratory of the University of Washington. 2022. Adaptive Sampling of Rain and Ocean Salinity from Autonomous Seagliders (Guam 2019-2020). Ver. 1. PO.DAAC, CA, USA.. Dataset accessed [YYYY-MM-DD] at https://doi.org/10.5067/ASROS-GLGU1
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