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GES DISC at the 2015 AGU Fall Meeting

Posters and talks highlight data and data services at annual science meeting in San Francisco

GES DISC at the 2015 AGU Fall Meeting

Thousands of scientists attend the AGU Fall Meeting every year.

GES DISC at the 2015 AGU Fall Meeting

Many members of the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) are traveling to San Francisco, California next week to attend the American Geophysical Union (AGU) Fall Meeting.  The annual Fall Meeting is one of the largest scientific meetings in the world, attracting geologists, hydrologists, atmospheric scientists, ocean scientists, seismologists, volcanologists, astronomers, planetologists, meteorologists, climate scientists, and scientists from many other geophysical and geoscience disciplines. 


Numerous awards are handed out at the meeting, and there are also several invited talks, including the Leptoukh Lecture on Geoinformatics, named for the late Dr. Gregory Leptoukh of the GES DISC.  At this meeting, the Leptoukh  Lecture is being given by Dawn J. Wright, Environmental Systems Research Institute, Redlands, CA, and is entitled “Toward a Digital Resilience (with a Dash of Location Enlightenment)”.  The Leptoukh Lecture will be given 14:40 – 15:35 in Moscone West- 3014.

Picture of Greg Leptoukh      Picture of Dawn Wright

Dr. Gregory Leptoukh                                                                   Dr. Dawn J. Wright


Below are short summaries of posters or oral presentations being given by GES DISC first authors.  The title of the presentation is linked to the full abstract.  Names of GES DISC staff members are underlined;  images shown are related to the topic but are not taken from the presentation.  Links to abstracts of presentations with GES DISC co-authors are also provided.   


Monday, December 14

GES DISC First Author Presentations
IN13A-1815: UUI: Unified User Interface to Support Effective and Intuitive Data Discovery, Dissemination, and Analysis at NASA GES DISC - Maksym Petrenko, Mahabaleshwara Hegde, Keith Bryant, James Johnson, Anthony Ritrivi, Suhung Shen, Bruce Vollmer, Long Pham (POSTER) - Moscone South
The poster by Maksym Petrenko and his GES DISC co-authors describes the creation of the Unified User Interface (UUI).   The UUI will significantly streamline access to data and services at the GES DISC, including the Simple Subset Wizard, Mirador, and Giovanni.   Lessons learned, obstacles encountered, and insights gained are described, as well as the software architecture and technology utilized.
H13H-1646: Explore GPM IMERG and Other Global Precipitation Products with GES DISC GIOVANNI - Zhong Liu, Dana Ostrenga, Bruce Vollmer, Kyle Macritchie, Steve Kempler (POSTER) - Moscone South
The GES DISC team describes how the Geospatial Interactive Online Visualization ANd aNalysis Infrastructure, Giovanni, provides numerous precipitation and related data variables in the IMERG (Integrated Multi-satellitE Retrievals for GPM) data set.   Giovanni’s new interface allows users to search and filter precipitation data products from different missions, and to intercompare these products.  Given the significant differences in precipitation data products, these new capabilities make it much easier to comprehend and apply these data for research.
GPM Mission Logo
In this talk, Liu examines the problems inherent with analysis and use of multi-satellite or multi-sensor precipitation data sets.  Data quality issues have been encountered with the use of these products and are difficult to evaluate fully.  Online tools facilitate the investigation and comparison of different data products for a customized region of interest.  Liu will describe the available tools and provide examples of their use.
GES DISC Co-Author Presentations

Tuesday, December 15

GES DISC First Author Presentations
IN23C-1736: An Analysis of Earth Science Data Analytics Use Cases - Chung-Lin Shie, Steve Kempler (POSTER) - Moscone South
Astounding increases in both the number and volume of Earth science data measurements and data sets create abundant research opportunities, but also make it considerably more difficult to process and analyze large amounts of diverse data types to find underlying relationships and connections.  Earth Science Data Analytics (ESDA) is “the process of examining large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information”.   Shie and Kempler’s poster describes use cases that exercise ESDA, constructed in association with the Earth Science Information Partners (ESIP) Federation. A preliminary analysis of the information gained from these use cases is also given.
Kempler’s poster discusses Earth Science Data Analytics (ESDA) created in association with the Earth Science Information Partners (ESIP) Federation, also the subject of the poster co-authored with Chung-Lin Shie.   Because ESDA differ from data analytics used in the business world, they require different tools and techniques.  The poster describes end goal types, data volumes, specialized processing, and other attributes of ESDA.  Collecting and analyzing use cases deepens understanding of how the data is used, sharpening the specification of requirements for ESDA tools and techniques.
GES DISC Co-Author Presentations
IN23E-07 - Exploiting Untapped Information Resources in Earth Science - Rahul Ramachandran, Peter Arthur Fox, Steve Kempler, and Manil Maskey (PRESENTATION)

Wednesday, December 16, 2015

GES DISC First Author Presentations
A31D-0095: Long-Term Global Aerosol Products from NASA Reanalysis MERRA-2 Available at GES DISC - Suhung Shen, Dana Ostrenga, Bruce Vollmer (POSTER) - Moscone South
Shen, Ostrenga, and Vollmer provide an overview aerosol products in the newly available Modern-Era Retrospective analysis for Research and Applications (MERRA-2) data set, covering the period 1980-present.  The aerosol data have been grouped into five datasets, including variables such as: dust column mass density, dust column mass density – PM 2.5, dust deposition, SO2 column mass density, aerosol optical depth analysis, total aerosol extinction AOT 550nm, and black carbon emission.  Three case studies of volcanic, meteorological (dust storm), and wildfire events are shown, demonstrating the use of the data to observe aerosol transport in the atmosphere.
A31D-0098: NASA GES DISC aerosol analysis and visualization services - Jennifer Wei, Charles Ichoku, Maksym Petrenko, Wenli Yang, Arif Albayrak, Peisheng Zhao, James Johnson, Steve Kempler (POSTER) - Moscone South
In this poster, a group from the GES DISC and GSFC Climate and Radiation Laboratory led by Jennifer Wei presents the toolkit available at the GES DISC for using and analyzing aerosol data products. Effective use and analysis of these data products enhances scientific research and provides benefits to society.  Since 2007, the GES DISC has developed Multi-sensor Aerosol Products Sampling System (MAPSS) applications as a part of Giovanni:  Giovanni-MAPSS and Giovanni-MAPSS_Explorer.  This presentation demonstrates features in Giovanni-MAPSS and introduce a new visualization service (Giovanni VizMAP) supporting various visualization and data accessing capabilities for satellite Level 2 data (non-aggregated and un-gridded) at high spatial resolution.  Important functions are described in detail.
MAPSS Explorer Screen Shot

Thursday, December 16, 2015

GES DISC First Author Presentations
IN41D-01: Federated Giovanni: multi-sensor data sharing and visualization - Mahabal Hegde, Christopher Lynnes, James Acker, Steven Kempler, Edward Seiler, Jake Davis, Richard Strub, Keith Bryant, Christine Smit, Peisheng Zhao, Chris Mattmann, Ross Laidlaw, Jessica Hausman, Robert Lossing, Sean Bailey, Virginia Kalb, Cody Hendrix (ORAL) - Moscone West – 2020, 0800-0815.
The Federated Giovanni project has created a collaborative framework allowing several NASA data centers to contribute data to the Giovanni system.  Partner data centers can configure and deploy their own Giovanni and curated data catalog, while allowing various Giovanni instances to share data. Providing Giovanni’s capabilities to other data providers through federation will allow a dramatically larger number of distributed datasets to be made available for interactive data exploration and inter-comparison. In this presentation by Mahabaleshwara Hegde, the architecture as well as the process of curating and sharing Giovanni data catalogs to enable inter-comparison of data from multiple sensors will be described.
Aquarius CAP salinity image
Teng and Albayrak describe how “data cubes”, from which “data rods” can be extracted, allow easy access to hydrology data, both temporally and spatially.  Reorganization of data into data cubes at the GES DISC is part of an ongoing NASA-funded project to remove data access barriers by providing point time-series data from archived time-step array data.  The use case described in the poster leverages existing software to explore application of the data cubes concept to machine learning, for the purpose of detecting water cycle extreme (WCE) events, which are a specific case of anomaly detection  requiring time series data.
Reorganizing Data for Use by Applications 
GES DISC Co-Author Presentation
H43E-1544: Modeling Probability Distributions of Hydrologic Variables from NLDAS to Identify Water Cycle Extremes - Gonzalo Espinoza, David Arctur, David Maidment, William Teng (POSTER) - Moscone South

Friday, December 17, 2015

GES DISC First Author Presentations
IN51A-1788: “Bundle Data” Approach at GES DISC Targeting Natural Hazards - Chung-Lin Shie, Suhung Shen, Steve Kempler (POSTER) - Moscone South
Chung-Lin Shie and co-authors Suhung Shen and Steve Kempler address the “Bundle Data” approach being developed at the GES DISC for natural hazard event evaluation.  First described in 2014 for hurricane and cyclone events, the Bundle Data approach now includes volcanoes and blizzards. Bundle Data for a specific hazard/event is basically a sophisticated integrated data package consisting of a series of proper datasets containing a group of relevant (“knowledge-based”) data variables.  These data variables are made readily accessible to users via a system-prearranged table linking those data variables to the proper datasets (URLs).
Large area view of Typhoon Haiyan
IN51C-07: Between a Map and a Data Rod - William Teng, Hualan Rui, Richard Strub, Bruce Vollmer (ORAL) Moscone West 2020. 0928-0943.
William Teng, supported by co-authors Hualan Rui, Richard Strub, and Bruce Vollmer, will discuss how “data rods” address the digital divide between the archival structure of satellite-derived data sets (time-step arrays) and the manner in which hydrology and other point time-series oriented communities access the data.  In his presentation, Teng describes the operational production of on-the-fly (“virtual”) data rods, enabled by considering the tradeoffs between length of time series (or number of time steps), resources needed, and performance. The virtual data rods were created by leveraging a number of existing resources, including the NASA Giovanni Cache and NetCDF Operators (NCO), and used data cubes processed in parallel.
H51G-1454: 65 Years of Reprocessed GLDAS Version 2.0 Data and Their Exploration Using the NASA GES DISC Giovanni - Hualan Rui, Bruce Vollmer, William Teng, Hiroko Beaudoing, Matthew Rodell (POSTER) - Moscone South
This presentation describes the main characteristics of GLDAS data, the major improvements of the reprocessed GLDAS-2 data, and current access to the data. To further facilitate their use, reprocessed GLDAS-2.0 data have been integrated into Giovanni, where the data can be easily explored with seventeen different visualization types, such as Lat-Lon Map and Animation, Time Series, Scatter Plot, and Histogram. This presentation also showcases the main climatology characteristics of 65 years of GLDAS, derived with Giovanni’s new capabilities in computing climatologies for user-defined time ranges and visualizations with the Lat-Lon Map and Time Series.
Modified LDAS Logo
Zhao’s poster primarily addresses the challenges and solutions in the development of the Open Geospatial Consortium (OGC) Web Map Service (WMS) and Web Coverage Service (WCS) and related rich Internet applications for a wide range of near-real time, Level 2, and Level 3 data products. Giovanni enables users to explore a wide variety of satellite datasets through interactive mapping, together with various algorithms including spatiotemporal average and correlation. The GES DISC is developing a Giovanni WMS to provide a machine-to-machine interface to support both the Big Earth Data Initiative (BEDI) and Global Imagery Browse Services (GIBS).
GES DISC Co-Author Presentation





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Last updated: Dec 17, 2015 11:44 AM ET