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NSF Expeditions in Computing: Understanding Climate Change: A Data Driven Approach

NSF Expeditions: Understanding Climate Change This NSF Expeditions in Computing project, Understanding Climate Change through Data, addresses key challenges in the science of climate change by developing methods that take advantage of the wealth of climate and ecosystem data available from satellite and ground-based sensors, the observational record for atmospheric, oceanic, and terrestrial processes, and physics-based climate model simulations. The project is lead by Vipin Kumar, University of Minnesota an

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NSF Expeditions in Computing: Understanding Climate Change: A Data Driven Approach | climatechange.cs.umn.edu Reviews

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NSF Expeditions: Understanding Climate Change This NSF Expeditions in Computing project, Understanding Climate Change through Data, addresses key challenges in the science of climate change by developing methods that take advantage of the wealth of climate and ecosystem data available from satellite and ground-based sensors, the observational record for atmospheric, oceanic, and terrestrial processes, and physics-based climate model simulations. The project is lead by Vipin Kumar, University of Minnesota an

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1 NSF Expeditions in Computing

2 Understanding Climate Change

3 University of Minnesota

4 Data Driven Approach

5 Vipin Kumar

6 Research

7 Data Mining

8 Computer Science

9 Climate

10 Remote Sensing

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NSF Expeditions in Computing: Understanding Climate Change: A Data Driven Approach | climatechange.cs.umn.edu Reviews

https://climatechange.cs.umn.edu

NSF Expeditions: Understanding Climate Change This NSF Expeditions in Computing project, Understanding Climate Change through Data, addresses key challenges in the science of climate change by developing methods that take advantage of the wealth of climate and ecosystem data available from satellite and ground-based sensors, the observational record for atmospheric, oceanic, and terrestrial processes, and physics-based climate model simulations. The project is lead by Vipin Kumar, University of Minnesota an

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climatechange.cs.umn.edu

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NSF Expeditions in Computing: Understanding Climate Change: Events

http://climatechange.cs.umn.edu/events.php

A Data Driven Approach. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. November 13-18, 2016. Salt Lake City, UT. The International Conference for High Performance Computing, Networking, Storage and Analysis (SC16). September 22-23, 2016. The Sixth International Workshop on Climate Informatics (CI 2016). August 13-17, 2016. San Francisco, CA. July 17-21, 2016. July 11-15, 2016. Fifth Wor...

2

NSF Expeditions in Computing: Understanding Climate Change: Article in Nature Climate Change

http://climatechange.cs.umn.edu/naturecc.php

A Data Driven Approach. Article in Nature Climate Change. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. Article in Nature Climate Change. A new study led by Ganguly focused on rainfall extremes in India and identified a steady and significant increase in geographical variability in that country over the past half-century. The data-driven methods used, say the researchers, can be ge...

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NSF Expeditions in Computing: Understanding Climate Change: Faculty and Senior Researchers

http://climatechange.cs.umn.edu/people.php

A Data Driven Approach. Faculty and Senior Researchers. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. Faculty and Senior Researchers. University of Minnesota, Twin Cities. Lead PI, William Norris Professor and Head of the Computer Science and Engineering Department. Data Mining, High-Performance Computing, and their applications in Climate/Ecosystems and Biomedical domains. Simulation ...

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NSF Expeditions in Computing: Understanding Climate Change: Talks and Tutorials

http://climatechange.cs.umn.edu/talks.php

A Data Driven Approach. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. July 28, 2016. Auroop Ganguly gave a talk at the Indian Institude of Technology, Kharagpur:. Climate and Complexity: Managing the Unavoidable. July 26, 2016. Vipin Kumar was a speaker at the Open Data Ecosystem for the Neurosciences (ODEN 2016). July 20, 2016. July 12, 2016. New York, New York. May 10, 2016. Shashi S...

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NSF Expeditions in Computing: Understanding Climate Change: A Data Driven Approach

http://climatechange.cs.umn.edu/index.php

A Data Driven Approach. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. Rainfall patterns on the globe represent our research thrust on global climate change while the artistic depiction of the variability of Indian rainfall extremes represents our focus on regional changes and their extremes as exemplified by our new paper in Nature Climate Change. This 5-year, $10 Million project is fu...

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Vipin Kumar's Home Page..

http://www-users.cs.umn.edu/~kumar

Vipin Kumar's Home Page. Kumar001 at umn.edu. Http:/ www.cs.umn.edu/ kumar/. Phone (612) 626 7514, Fax (612) 625 0572. Department of Computer Science and Engineering. 4-192, Keller Hall. Minneapolis, MN 55455. Phone (612) 624 8023. For a full vita with complete list of publications click. Series Editor, Data Mining and Knowledge Discovery - CRC Press Book Series. Founding Editor, Statistical Analysis and Data Mining. Steering Committee Member, SIAM International Conference on Data Mining. International C...

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Group Meeting Schedule

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Spatial Group Equipment List. Nuclear25.cs-nuclear30.cs (64 Bit Intel dual quad core X3440 2.53 GHz, 4GB RAM, Ubuntu Linux 10.04). Nuclear01.cs-nuclear10.cs (64 Bit AMD Opteron Dual Core Processor 2212 E, 1 GHz and 2GB RAM, Ubuntu Linux 9.04. 17 TB on Reactor.cs in /projects/shashigroup/. CCRPcs, CCAM.cs, Indika.cs. Euclid.cs, Spatial.cs. 2 Dell Quad-core Intel Xeon CPU E5630 @ 2.53GHz, 12 GB RAM. 4 x 3 (12) monitors in a grid for image/map display. High Performance Computing (HPC).

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News

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Global Observatory for Planetary Health and Resources. Patterns in the Global Climate System. Clustering Earth Science Data. The GOPHER and NSF Expeditions: Understanding Climate Change. Projects were highlighted in a guest posting, "Data Mining for Global Change: Furthering Science, Knowledge", by Karsten Steinhaeuser on The Computing Community Consortium Blog. An article in the December 18, 2010 issue of The Economist. Vipin Kumar was interviewed on the September 3, 2010 episode of Almanac. July 8, 2003.

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GOPHER: Understanding Climate Change

http://gopher.cs.umn.edu/ucc.php

Global Observatory for Planetary Health and Resources. Patterns in the Global Climate System. Clustering Earth Science Data. Modified by Kelly Cutler.

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Saurabh V. Pendse

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File get contents() [ function.file-get-contents. Php network getaddresses: getaddrinfo failed: Name or service not known in /home/content/s/p/e/spendse/html/index.php. File get contents(http:/ api.hostip.info/? Ip=2321.103.74) [ function.file-get-contents. Failed to open stream: php network getaddresses: getaddrinfo failed: Name or service not known in /home/content/s/p/e/spendse/html/index.php. Prediction and classification problems in complex application domains such as climate. I enjoy programming; d...

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NSF Expeditions in Computing: Understanding Climate Change: A Data Driven Approach

A Data Driven Approach. Discovering Patterns of Change. Climate Extremes and Uncertainty. High-Performance Tools and Methods. New Climate Mode for Longterm Drought. Data, Software and Tools. Rainfall patterns on the globe represent our research thrust on global climate change while the artistic depiction of the variability of Indian rainfall extremes represents our focus on regional changes and their extremes as exemplified by our new paper in Nature Climate Change. This 5-year, $10 Million project is fu...

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