CUAHSI compute services for working with data in the cloud

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Created: Jul 26, 2019 at 1:43 p.m.
Last updated: Jul 30, 2019 at 7:43 p.m.
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Advancements in cyberinfrastructure (CI) to support cloud-based tools and services for the water science community have changed how researchers conduct, share, and publish scientific workflows. These have had a transformative impact on how our community addresses the challenges associated with interdisciplinary collaboration, reproducing scientific findings, and developing real-world educational modules. The Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI) facilitates discussion around these topics, with the water science community, to better identify the shortcomings of current CI approaches and define the requirements for the next generation of cloud services. The purpose of this workshop is to introduce and solicit feedback on the current suite of CUAHSI community to computational tools to that have been designed to improve the way water science research and education is conducted in the cloud. This workshop will consist of several technologies that are actively being developed for working with data Earth surface data. Our goal is to demonstrate how these compute environments can be used in educational applications, workshops, reproducing published work, and conducting research. Participants will be presented with several approaches for working with their data within the CUAHSI ecosystem of tools. The workshop will focus heavily on interactive examples and will feature several programming languages including Python, R, and MATLAB. Participants are not required to be proficient in these languages but should bring a laptop computer, be ready to work through live examples, and willing to provide constructive feedback.

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Collection Contents

Add Title Type Owners Sharing Status Remove
MATLAB Online App Connector Anthony Castronova Public & Shareable
Analysis of Air Temperature using the CUAHSI HIS Resource Anthony Castronova Public & Shareable
Interpolating GHCN Timeseries on a Rectangular Mesh Resource Anthony Castronova Public & Shareable

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How to Cite

Castronova, A. M. (2019). CUAHSI compute services for working with data in the cloud, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


Irene Garousi-Nejad 4 months, 2 weeks ago

Is this service free?

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