The increasing volume of scientific datasets requires the use of compression to reduce data
storage and transmission costs, especially for the oceanographic or meteorological datasets …

Geoscientific models and measurements generate false precision (scientifically
meaningless data bits) that wastes storage space. False precision can mislead (by implying …

Abstract Earth System Model (ESM) simulations are increasingly constrained by the amount
of data that they generate rather than by computational resources. The use of lossy data …

Climate model simulations produce large volumes of data, and reducing the storage burden
with data compression is increasingly of interest to climate scientists. A key concern to the …

With ever increasing volumes of data being generated in scientific simulations, experiments,
and observations, storage and bandwidth concerns are mounting. As a means of data …

Data intense scientific domains use data compression to reduce the storage space needed.
Lossless data compression preserves the original information accurately but on the domain …

The Earth Science Data and Information System (ESDIS) handles over one terabyte (10 (exp
12) bytes) of data daily and is using the Hierarchical Data Format (EDF) for data archiving …

Scientific computing produces, transfers, and stores massive amounts of single-and double-
precision floating-point data, making this a domain that can greatly benefit from data …

Three-dimensional numerical modeling of fluid flows is an important research tool to
understand many fluid dynamical effects observed in nature. With the strong growth of …

While the amount of data used by today's high-performance computing (HPC) codes is
huge, HPC users have not broadly adopted data compression techniques, apparently …