ROMSTOOLS, a collection of global data sets and a series of Matlab programs collected in
an integrated toolbox, generates the grid, surface forcing, initial condition, open boundary …

This paper presents the Stony Brook Parallel Ocean Model (sbPOM) for execution on
workstations, Linux clusters and massively parallel supercomputers. The sbPOM is derived …

Several aspects of global climate change, eg, the rise of sea level and water temperature
anomalies, suggest the advantages of studying wave distributions. In this study …

In this study, a machine learning approach is applied to wind speed retrieval from vertical-
vertical (VV) polarized synthetic aperture radar (SAR) during tropical cyclones (TC). More …

The astonishing development of diverse and different hardware platforms is twofold: on one
side, the challenge for the exascale performance for big data processing and management; …

The wide availability of data on air pollutant emissions, the knowledge already achieved on
theset of chemical and photochemical reactions in the troposphere, the ability to access real …

Abstract The Framework to Advance Climate, Economic, and Impact Investigations with
Information Technology (FACE-IT) is a workflow engine and data science portal based on …

The grid computing technology permits the coordinate, efficient and effective use of
(geographically spread) computational and storage resources with the aim to achieve high …

Using the technique of Message Passing Interface, a parallelized version of a coupled wave-
circulation model was set up. The tested model is a regional one for simulating the seas off …

The grid computing technology is evolving from the emergence to the stable and production
status. In the computational science field the grid computing approach for storage and …