NSF Org:	RISE Integrative and Collaborative Education and Research (ICER)
Recipient:	UNIVERSITY OF NOTRE DAME DU LAC
Initial Amendment Date:	August 4, 2015
Latest Amendment Date:	August 4, 2015
Award Number:	1542052
Award Instrument:	Standard Grant
Program Manager:	Eva Zanzerkia RISE  Integrative and Collaborative Education and Research (ICER) GEO  Directorate for Geosciences
Start Date:	September 1, 2015
End Date:	August 31, 2017 (Estimated)
Total Intended Award Amount:	$27,300.00
Total Awarded Amount to Date:	$27,300.00
Funds Obligated to Date:	FY 2015 = $27,300.00
History of Investigator:	Jaroslaw Nabrzyski (Principal Investigator) naber@nd.edu
Recipient Sponsored Research Office:	University of Notre Dame 940 GRACE HALL NOTRE DAME IN  US  46556-5708 (574)631-7432
Sponsor Congressional District:	02
Primary Place of Performance:	University of Notre Dame 940 Grace Hall Notre Dame IN  US  46556-5708
Primary Place of Performance Congressional District:	02
Unique Entity Identifier (UEI):	FPU6XGFXMBE9
Parent UEI:	FPU6XGFXMBE9
NSF Program(s):	EarthCube
Primary Program Source:	01001516DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	7433
Program Element Code(s):	807400
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.050

ABSTRACT

One of the major current challenges with polar cyberinfrastructure is managing and fully exploiting the
volume of high-resolution commercial imagery now being collected over the polar regions. This data can be used to understand the changes in polar regions due to climate change and other processes. The potential of global socio-economic costs of these impacts make it an urgent priority to better understand polar systems. Understanding the mechanisms that underlie polar climate change and the links between polar and global climate systems requires a combination of field data, high-resolution observations from satellites, airborne imagery, and computer model outputs. Computational approaches have the potential to support faster and more fine-grained integration and analysis of these and other data types, thus increasing the efficiency of analyzing and understanding the complex processes. This project will support advances in computing tools and techniques that will enable the Polar Sciences Community to address significant challenges, both in the short and long-term.

The impact of this project will be in the improvements in the ability to utilize advanced cyberinfrastructure and high-performance distributed computing to fundamentally alter the scale, sophistication and scope of polar science problems that will be addressed. This project will not implement those changes but will identify and lay the groundwork for such impact across the Polar Sciences. The Project personnel will identify primary barriers to the uptake of high-performance and distributed computing and will help alleviate them through a combination of community based solutions and training. The project will also produce a roadmap detailing a credible and effective way to meet the long-term computing challenges faced by the Polar Science community and possible plans to effectively address them. This project will establish mechanisms for community engagement which include, gathering technical requirements for polar cyberinfrastructure and supporting and training early career scientists and graduate students.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

 

The Polar Research Coordination Network aims to connect the Polar Science, Data and High-Performance and Distributed Computing (HPDC) communities to enable deeper penetration of computing methods and cyberinfrastructure into the polar sciences.

The potential for global impact with huge socio-economic costs makes understanding polar climate change, and the links between polar and global systems, and urgent priority. Despite the data- and compute-intensive scientific needs of modern polar science, use of HPDC is currently limited. Bringing these communities together in a sustained, multi-dimensional engagement has the potential to inform HPDC development and transform polar science research.

To this end the project organized and hosted several training sessions and hackhatons for Polar scientists at which the researchers solved real polar science problems using advanced national cyberinfrastructure as well as google platform. The meetings, workshops and conferences that the project contributed to include:

1. Side meeting on polar cyberinfrastructure at the XXXIV Scientific Committee for Antarctic Research (SCAR) Open Science Conference (Kuala Lumpur, Malaysia)

2. 7th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-17)

3. EarthCube Technical Architecture Workshop (July 2017, Boulder)

4. EarthCube Architecture Working Group (January 2017, Virtual)

5. Polar-HPDC Seminar & Discussion (Boulder, CO)

6. Software Carpentry and polar hackathon (Stony Brook University)

7. Polar hackathon at the XSEDE 2016 conference. 

Last Modified: 11/10/2017
Modified by: Jaroslaw Nabrzyski

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