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<h1>Publications</h1>

<p>Here you can find various publications about or featuring SDAP, including keynotes, papers, presentations and books.</p>

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	<h2>Featured Publications</h2>

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					<h3>SDAP @ ApacheCon 2020</h3>
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						<figcaption>Keynote: Why Build a Castle When You Can Create a Community | Thomas Huang, NASA/JPL</figcaption>
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					<h3>AGU Book</h3>
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						<a href="https://www.google.com/books/edition/Big_Data_Analytics_in_Earth_Atmospheric/erKREAAAQBAJ?hl=en&gbpv=0">
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						<figcaption>Several chapters dedicated to SDAP</figcaption>
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					<h3>SDAP @ NCAR</h3>
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						<figcaption>Seminar: Open-Source Framework for Earth System Digital Twins | Thomas Huang, NASA/JPL</figcaption>
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<h2>Full List:</h2>

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	<li>Huang, T., Vance, T., and Lynnes, C., 2023: Big data analytics in earth, atmospheric, and ocean sciences (Ser. Special publications 77). John Wiley & Sons, Inc./ American Geophysical Union.</li>
	<li>Chung, N., Huang, T., Tsontos, V.M., Perez, S., Phyo, M., Rodriguez, J., Kuttruff, R., Smith, S., Gethers, J., Cram, T., Ji, Z. and Sparling, K., 2022: Demonstration of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science Applications. American Geophysical Union Fall Meeting, Chicago IL, 2022.</li>
	<li>Perez, S., 2022: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2022, New Orleans LA, 2022</li>
	<li>Rogers, L., B. Clark, S. Uz, T. Huang, V. Tsontos, J. Carden, S. Nag, V. Ravindra, and J. Scott, 2021: “Merging Analytic Collaborative Frameworks with New Observing Strategies Toward a Digital Twin: Earth – Episodic Pulse Event Impacts on the Ocean Carbon Cycle as an Example.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Perez, S., N.T. Chung, T. Huang, V. Tsontos, W. Phyo, S. Smith, H. McMillan, T. Cram, Z. Ji and K. Sparling. "Development of a Cloud-based Data Match-Up Service (CDMS) in Support of Ocean Science and Applications." American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Loubrieu, T., T. Huang, W. Phyo, N. T. Chung, M. Friedl, I. Liagouris, M. Moon, and D. Cunha. “Cloud-Optimized Data Service for Multispectral and Hyperspectral Observations.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Huang, T., V. Tsontos, V., J. Jacob, B. Clark, S. Uz, M. Oliver, H. Smith, and L. Rogers. “Ocean Carbon Cycle Observatory: An Architectural Pilot for Smart Data.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Huang, T., N. T. Chung, A. E. Dunn, K. R. Verhulst, J. Holm, M. Pourhomayoun, D. K. Henze, R. Martin, and L. Bindle. “AQACF: A Platform for Air Quality Analysis, Visualization, and Prediction.” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Huang, T., C. David, C. Oaida, S. V. Kumar, P. Stackhouse, D. Borges. “Integrated Digital Earth Analysis System (IDEAS).” American Geophysical Union Fall Meeting, New Orleans, LA, December 13-17, 2021.</li>
	<li>Kettig, P., S. Baillarin, G. Blanchet, C. Taillan, S. Ricci, T. Nguyen, T. Huang, A. Altinok, N.T. Chung, G. Valladeau, R. Goeury, A. Roumagnac, 2021: “The SCO-FloodDAM Project: New Observing Strategies for Flood Detection, Alert and Rapid Mapping,” In IGARSS 2021 IEEE International Geoscience and Remote Sensing Symposium, July 11-16, 2021, Brussels, Belgium.</li>
	<li>Huang, T., A. Altinok, N. T., Chung, J. Hausman, C. M. Oaida, S. Shah, Z. M. Taylor, S. Baillarin, G. Blanchet, P. Kettig, and C. Taillan, 2020: “Distributed Machine Learning and Data Fusion for Flood Detection and Monitoring,” American Geophysical Union Fall Meeting, Online, December 1-17, 2020.</li>
	<li>Huang, T., 2020 (ApacheCon keynote): “Why Build a Castle When You Can Create a Community, Advancing Satellite Data Analysis through Professional Open Source,” in 2020 ApachCon @Home, Virtual, September 29 – October 1, 2020.</li>
	<li>Yepremyan, A., E. Ford, and T. Huang, “OceanWorks + ESRI Integration,”, 2020 Federation of Earth Science Information Partners (ESIP) Winter Meeting, Bethesda, MD, Jan. 2020.</li>
	<li>Little, M.M, D. Duffy, R.R. Nemani, S.M. Hristova- Veleva, and T. Huang, 2019: Four Years of Progress in Analytics Center Frameworks: Lessons Learned, American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
	<li>Wilson, B.D., J. C. Jacob, L. Mestar, and H. Lee, 2019: PARGEO: Cloud-Ready Pervasively Parallel Analytics and Climate Science. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
	<li>Vazquez, J., V.M. Tsontos, E.J. Lindstrom, T.M. Chin, and T. Huang, 2019: COVERAGE: A Platform Enabling Research and Applications for GEO. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019 23. </li>
	<li>Jacob, J., B.D. Wilson, H. Lee, 2019: NEXUS Hyper Grid: Analytics Engine Scalable for Climate Model Evaluation on Cloud and High-Performance Computing Platforms. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
	<li>Huang, T., 2019: Aiming for Autonomously Sustainable Solution for Spatiotemporal Analysis. American Geophysical Union Fall Meeting, San Francisco, CA, December, 2019</li>
	<li>Huang, T., 2019 (NAS): Advancing Data Science Technology Through Open Source. Advancing Commercialization from Federal Labs, The National Academies of Sciences, Engineering, Medicine, Washington DC, December, 2019</li>
	<li>Greguska, F., 2019: Apache Science Data Analytics Platform (SDAP). ApacheCon North America 2019, Las Vegas NV, 2019</li>
	<li>Huang, T., M. DeBellis, I. Fenty, P. Heimbach, J.C. Jacob, O. Wang, and E. Yam, 2019: Analytics Center Framework for Estimating the Circulation and Climate of the Ocean. 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, July, 2019</li>
	<li>E. M. Armstrong, M. A. Bourassa, T. Cram, M. Debellis,  J. Elya, F. R. Greguska III, T. Huang, J. C. Jacob, Z. Ji, Y. Jiang, Y. Li, N. Quach, L. Mcgibbney, S. Smith, V. Tsontos, B. Wilson, S. Worley, E. Yam, C. Yang, "An Integrated Data Analytics Platform, Frontiers in Marine  Science", Vol. 6, Article 354, July 2019.</li>
	<li>Huang, T., 2019 (BiDS paper): A Web of Analytics Services. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
	<li>Huang, T., 2019 (BiDS keynote): Overview of JPL Data Science for Earth Science. 2019 Big Data from Space, Munich, Germany, February, 2019</li>
	<li>Huang. T., 2019: Advancing Technology for Big Ocean Science through Partnership and Open Source. 2019 American Meteorological Society, Phoenix, AZ, January 2019</li>
	<li>J. C. Jacob, E. M. Armstrong, M. A. Bourassa, T. Cram, J. Elya, F. Greguska, T. Huang, Z. Ji, Y. Jiang,Y. Li, L. McGibbney, N. Quach, S. Smith, V. Tsontos, B. Wilson, S. J. Worley, C. Yang, "OceanWorks:  Enabling Interactive Oceanographic Analysis in the Cloud with Multivariate Data", AGU Fall Meeting, December 2018.</li>
	<li>J. Jacob, T. Huang, E. Armstrong, F. Greguska, L. McGibbney, N. Quach, V. Tsontos, B. Wilson, S. Smith, M. Bourassa, J. Elya, S. J. Worley, T. Cram, Z. Ji, C. Yang, Y. Jiang, Y. Li, "OceanWorks: Enabling Large-Scale Interactive Oceanographic Analysis", ESIP Summer Meeting, July 2018.</li>
	<li>T. Huang, E. Armstrong, F. Greguska, J. Jacob, N. Quach, L. McGibbney, V. Tsontos, B. Wilson, S. Smith, M. Bourassa, J. Elya, S. Worley, T. Cram, Z. Ji, C. Yang, Y. Jiang, Y. Li, "Big Data Analytics and Visualization for Ocean Science", EGU General Assembly 2018, April 2018.</li>
	<li>Huang, T., 2018: High Performance Open Source Plat-form for Big Ocean Science. 2018 Ocean Sciences, Portland, OR, February, 2018</li>
	<li>E. Armstrong, M. Bourassa, T. Cram, J. Elya, T. Huang, J. Jacob, Z. Ji, Y. Jiang, Y. Li, L. McGibbney, N. Quach, S. Smith, V. Tsontos, B. Wilson, S. Worley, C. Yang, "Apache Science Data Analytics Platform (SDAP)", ESIP Winter Meeting, January 2018.</li>
	<li>F. Greguska, T. Huang, B. Wilson, N. Quach, J. Jacob, "Analyzing Big Ocean Science Data with NEXUS", IEEE International Conference on Big Data, December 2017.</li>
	<li>Jacob, J., F. Greguska, T. Huang, N. Quach, and B. Wilson, 2017: Design Patterns to Achieve 300x Speedup for Oceanographic Analytics and Cloud. 2017 American Geophysical Union Fall Meeting, New Orleans, Louisiana, U.S.A., Dec. 11-15, 2017</li>
	<li>Huang,T.,2017: Big Data Analytics and Visualizationto Monitor Sea Level Rise. Space Studies Board (SSB) of The National Academies of Sciences, Engineering, Medicine, Nov. 2017</li>
	<li>J. Jacob, F. Greguska, T. Huang, N. Quach, B. Wilson, "Big Data Analytics Using Apache Spark", ESIP Summer Meeting, July 2017.</li>
	<li>Lindstrom, E., V. Tsontos, and J. Vazquez, 2017: CEOS Ocean Variables Enabling Research and Applications for GEO (COVERAGE) – An Initiative Proposal to CEOS, The 32nd Meeting of the CEOS Strategic Implementation Team, Paris, France, April, 2017</li>
	<li>T. Huang, S. Abercrombie, C. Boening, K. Gill, F. Greguska, J. Jacob, M. Little, C. Lynnes, N. Quach, R. Toaz, B. Wilson, "Big Data Analytics on Cloud Using NEXUS", ESIP Winter Meeting, January 2017.</li>
	<li>J. Jacob, T. Huang, C. Lynnes, "Performance Comparison of Big Data Analytics with NEXUS and Giovanni", AGU Fall Meeting, December 2016.</li>
	<li>B. Wilson, E. Armstrong, T. Chin, K. Gill, F. Greguska, T. Huang, J. Jacob, N. Quach, "OceanXtremes: Scalable Anomaly Detection in Oceanographic Time-Series", AGU Fall Meeting, December 2016.</li>
	<li>C. Lynnes, M. Little, T. Huang, J. Jacob, C. Yang, K.-S. Kuo, "Benchmark Comparison of Cloud Analytics Methods Applied to Earth Observations", AGU Fall Meeting, Dec. 2016.</li>
	<li>F. Greguska, K. Gill, T. Huang, J. Jacob, N. Quach, B. Wilson, "Tackling the Four V’s with NEXUS", AGU Fall Meeting, December 2016</li>
	<li>Huang, T., 2016: Taking on Big Ocean Data Science. International Conference on Marine Data and Information Systems, Gdansk, Poland, October 11, 2016</li>
	<li>Huang, T., 2016: NEXUS: Big Data Analytics. 2016 Federation of Earth Science Information Partners (ESIP) Summer Meeting, Durham, NC, 2016</li>
</ul>

<p>Get involved and contribute to SDAP through our <a href="http://sdap.apache.org/team">Community Hubs</a>.

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