Abstract
The Physical Oceanography Distributed Active Archive Center (PO.DAAC)
has traditionally hosted NASA’s Earth Observing System oceanography
datasets, but is expanding its archive to include hydrology datasets
from satellites like the upcoming Surface Water and Ocean Topography
(SWOT) mission. The SWOT mission, expected to launch later this year
(2022), will deliver approximately 20 TB of data per day! Though
hydrologic and water resources applications will be enabled at a greater
scale than ever before, an increase in data volume requires more
efficient and scalable data management technologies. Cloud computing
tools and services can help pave the way toward efficiency. By June
2022, PO.DAAC will have enabled all its data to be accessed in the NASA
Earthdata Cloud hosted in Amazon Web Services (AWS). Other NASA DAACs
are also in the process of migrating their Earth observations to the
Earthdata Cloud, which will support seamless access across DAACs and
disciplines. PO.DAAC desires to make data access, pre-processing, and
analysis as seamless as possible for data users, supporting science and
applications users alike with relevant tools and resources. In this
presentation, after introducing the PO.DAAC, we highlight a new
SWOT-specific data search mechanism (searching via the SWOT River
Database (SWORD) pre-defined river reaches) and showcase a cloud
computing workflow in the context of hydrologic applications by
accessing and analyzing a proxy SWOT dataset, Pre-SWOT Making Earth
System Data Records for Use in Research Environments (MEaSUREs) river
heights. This cloud workflow can be easily adapted to other PO.DAAC
datasets, or further developed with other DAAC data, offering effective
guidance and support for a variety of science use cases and
applications.