Abstract

Computational science today depends on many complex, data-intensive applications operating on datasets that originate from a variety of scientific instruments and data stores. A major challenge for data-driven science applications is the integration of data into the scientist's workflow. Recent advances in dynamic, networked cloud infrastructures provide the building blocks to construct integrated, reconfigurable, end-to-end infrastructure that has the potential to increase scientific productivity. However, applications and workflows have seldom taken advantage of these advanced capabilities. Dynamo will allow atmospheric scientists and hydrologists to improve short-and long-term weather forecasts, and aid the oceanographic community to improve key scientific processes like ocean-atmosphere exchange, turbulent mixing etc., both of which have direct impact on our society.

Date

2018

Authors

Anirban Mandal, Ewa Deelman, Michael H Zink, Ivan Rodero, Cong Wang

Journal

NSF Award

Volume

18

Issue

1826997

Pages

26997