2008 SESDA II Conferences

SESDA II Solar System Group Participated in the Annual 2008 AGU meeting.

SESDA II staff from our Solar System Group presented a large number of papers at the American Geophysical Union meeting in San Francisco in December 2008. These were:

Extending the Virtual Solar Observatory (VSO) to Incorporate Data Analysis Capabilities (III)

by Csillaghy, A., Etesi, L., Dennis, B, R., Zarro, D.M., Schwartz, R.A., & Tolbert, A.K., 2008 Fall AGU Meeting

Coronal Mass Ejections Associated With Impulsive Solar Flares – Observations With SECCHI EUVI On STEREO

by Nitta, N.V, Lemen, J.R., Wuelser, J.P., Aschwanden, M.J., Freeland, S.L., & Zarro, D.M., 2008 Fall AGU Meeting

Helioviewer: A Web 2.0 Tool for Visualizing Heterogeneous Heliophysics Data

by Hughitt, V.K., Ireland, J., Lynch, M.J., Schmiedel, P., Dimitoglou, G., Mueller, D., & Fleck, B., 2008 Fall AGU Meeting

Data Relationships: Towards a Conceptual Model of Scientific Data Catalogs

by Hourcle, J.A., 2008 Fall AGU Meeting

What Are We Tracking … and Why?

by Suarez-Sola, I., Davey, A., & Hourcle, J.A., 2008 Fall AGU Meeting

The Spectroscopic Footprint of the Fast Solar Wind

by McIntosh, S.W., Leamon, R.J., & De Pontieu, B., 2008 Fall AGU Meeting

The Center-to-Limb Variation of TRACE Travel-Times

by Leamon, R. J. & McIntosh, S.W., 2008 Fall AGU Meeting

Community Access to the C/NOFS Satellite Data – Facilitating New Opportunities for Space Weather Research

by Martin, S., Beaujardiere, O. , Hunton, D., Wilson, G., Roddy, P., Coley, R.,Heelis, R., Earle, G., Straus, P., Bernhardt, P., Bromund, K., Candey, R., Pfaff, R., Rowland, D., Holzworth, R., & Kessel, M., 2008 Fall AGU Meeting

The Vector Electric Field Investigation on the C/NOFS Satellite

by Pfaff, R., Acuna, M., Kujawski, J., Fourre, R., Uribe, P., Hunsaker, F., Rowland, D., Le, G., Farrell, W., Maynard, N., Holzworth, R., Wilson, G., Berthelier, J.-J., Steigies, C., Freudenreich, H., Bromund, K., McCarthy, M., Martin, S., & Liebrecht, C., 2008 Fall AGU Meeting

Initial Results from the Vector Electric Field Investigation on the C/NOFS Satellite

by Pfaff, R., Rowland, D., Acuna, M., Maynard, N., Le, G., Farrell, W., Holzworth, R., Wilson, G., Burke, W., Freudenreich, H., Bromund, K., Martin, S., Kujawski, J., Uribe, P., Fourre, R., & McCarthy, M., 2008 Fall AGU Meeting

Initial Results of the Magnetic Field Measurements on the C/NOFS Satellite

by Le, G., Pfaff, R., Acuna, M., Rowland, D., Bromund, K., Freudenreich, H., & Martin, S.

Optical Lightning Detection and Vector Electric Field Measurements Gathered in the Low-Latitude Ionosphere by Probes on the C/NOFS Satellite

by Holzworth, R., McCarthy, M., Pfaff, R., Rowland, D., Martin, S., Bromund, K., & Uribe, P., 2008 Fall AGU Meeting

SESDA II GES DISC Staff Participate in Upcoming Annual 2008 AGU meeting.

The GES DISC is contributing 24 abstracts to the December 2008 annual AGU meeting in San Francisco. SESDA II staff are lead or coauthors on 17 of them.

Modern Era Retrospective-analysis for Research and Applications (MERRA) Data and Services at the GES DISC

by Stephen Berrick, Suhung Shen, Dana Ostrenga, 2008 Fall AGU Meeting.

he Modern Era Retrospective-analysis for Research and Applications (MERRA) dataset is a NASA 30 year (1979 – 2007) reanalysis using the Goddard Earth Observing System Data Assimilation System, Version 5 (GEOS-5). The project, run out of NASA's Global Modeling and Assimilation Office at Goddard Space Flight Center, provides the science and application communities with a state-of-the-art global analysis with emphasis on improved estimates of the hydrological cycle over a broad range of weather and climate time scales. MERRA products are generated as a long-term synthesis that places the NASA EOS suite of observations in a climate context. The MERRA analysis is performed at a horizontal resolution of 2/3 x1/2 degrees and at 72 levels, extended 0.01 hPa. Hourly, two-dimensional diagnostic fields are at the native horizontal resolution. Other products are available on a coarser horizontal grid with resolutions of 1.25 x 1.25 and 1.0 x 1.25 degrees. Daily and monthly MERRA products (with others to follow later) are archived and distributed by the Goddard Earth Sciences Data and Information Services Center (GES DISC) through its Modeling DISC Web (MDISC) portal. Multiple data access methods and services are available for MERRA data through MDISC: (1) Mirador offers a quick, comprehensive search of MERRA and all GES DISC archived data holdings, allowing searches on keywords, location names or latitude/longitude box, and date/time, with responses within a few seconds. (2) Giovanni is a GES DISC developed Web application that provides data visualization and analysis online. Giovanni features popular visualizations such as latitude-longitude maps, animations, cross sections, profiles, time series, etc. and some basic statistical analysis functions such as scatter plots and correlation coefficient maps. Users are able to download results in several different formats, including Google Earth. (3) On-the-fly parameter and spatial subsetting of data is provided through a simple "select and click" Web page. (4) MERRA data are also available via OPeNDAP and via GrADS Data Server (GDS). Data can be converted to netCDF on-the-fly as well. Detailed MERRA data access information is available at GES DISC: http://disc.gsfc.nasa.gov/MDISC

The Citizens And Remote Sensing Observational Network (CARSON) Guide: Merging NASA Remote-Sensing Data with Local Environmental Awareness

by James Acker, Holli Riebeek, Tamara Ledley, David Herring and Steven Lloyd, 2008 Fall AGU Meeting.

"Citizen science" generally refers to observational research and data collection conducted by non-professionals, commonly as volunteers. In the environmental science field, citizen scientists may be involved with local and regional issues such as bird and wildlife populations, weather, urban sprawl, natural hazards, wetlands, lakes and rivers, estuaries, and a spectrum of public health concerns. Some citizen scientists may be primarily motivated by the intellectual challenge of scientific observations. Citizen scientists may now examine and utilize remote-sensing data related to their particular topics of interest with the easy-to-use NASA Web-based tools Giovanni and NEO, which allow exploration and investigation of a wide variety of Earth remote-sensing data sets. The CARSON (Citizens And Remote Sensing Observational Network) Guide will be an online resource consisting of several chapters demonstrating how to utilize Giovanni and NEO to access and analyze remote-sensing data. Integrated in each chapter will be descriptions of methods that citizen scientists can employ to collect, monitor, analyze, and share data related to the chapter topic which pertains to environmental and ecological conditions in their local region. A workshop held in August 2008 initiated the development of prototype chapters on water quality, air quality, and precipitation. These chapters will be the core section of the first release of the CARSON Guide, which will be used in a pilot project at the Maryland Science Center in spring 2009. The goal of the CARSON Guide is to augment and enhance citizen scientist environmental research with NASA satellite data by creating a participatory network consisting of motivated individuals, environmental groups and organizations, science-focused institutions such as museums and nature centers. Members of the network could potentially interact with government programs, academic projects, and not-for-profit organizations focused on environmental issues."

Atrain Data Depot (ATDD) – Providing users with convenient display and download services for automatically collocated Atrain instrument data (Cloudsat, Calipso, AIRS, MODIS, OMI, MLS, PARASOL).

by Peter Smith, Steven Kempler, Gregory Leptoukh, Andrey Savtchenko and Robert Kummerer, 2008 Fall AGU Meeting.

The Goddard Earth Sciences DISC (Data and Information Services Center) actively supports A-train mission researchers by providing display and data download access to a substantial number of cloud/aerosol, temperature and pressure parameters measured by multiple sensors for platforms in the Atrain satellite constellation (http://disc.gsfc.nasa.gov/atdd/index.shtml). Instruments supported include Cloudsat, CALIPSO, MODIS, AIRS, OMI, MLS, and POLDER together with model data from GDAS and ECWMF with temporal coverage June 2006 through present. Our Giovanni tool provides users with the capability of accessing, displaying and downloading subsetted multi-parameter data which has been automatically collocated both spatially and temporally with the Cloudsat instrument's sub-orbital track. Image inter-comparison products are provided for both vertical profiles and narrow horizontal data swaths. This subsetted data may be downloaded in HDF4, PNG or Google Earth KMZ file format. Users may also download time series collocated data from an FTP site. Sample cloud precipitation products measured by multiple A-train instruments will be presented.

AIRS Data Service at NASA Goddard Earth Sciences Data and Information Services (GES DISC) and Its Application to Climate Change Study

by Young-In Won, Bruce Vollmer, Mike Theobald, Xin-Min Hua, 2008 Fall AGU Meeting.

The Atmospheric Infrared Sounder (AIRS) instrument suite is designed to observe and characterize the entire atmospheric column from the surface to the top of the atmosphere in terms of surface emissivity and temperature, atmospheric temperature and humidity profiles, cloud amount and height, and the spectral outgoing infrared radiation on a global scale. It is comprised of a space-based hyperspectral infrared instrument (AIRS) and two multichannel microwave instruments, the Advanced Microwave Sounding Unit (AMSU-A) and the Humidity Sounder for Brazil (HSB). The AIRS instrument suite is one of several instruments onboard the Earth Observing System (EOS) Aqua spacecraft launched May 4, 2002 and has been providing global coverage ever since. A six-year record of these data are available from the GES DISC.

The AIRS Data Support Team at the GES DISC provides data support to assist others in understanding, retrieving, and extracting information from the AIRS/AMSU/HSB data products. Various AIRS data products (Level-1B, Level-2 and Level-3) are available from the GES DISC. In addition, the GES DISC provides a range of value added services such as data search and access services, subsetting and format conversion services, online data visualization and analysis services.

Because number of years has passed since its operation started, the amount of data has reached a certain level of maturity where we can address the climate change study utilizing the AIRS data. In this presentation, we would like to list various services we provide and to demonstrate how to utilize/apply the existing service to long-term and short term variability study.

The NASA NEESPI Data Portal: Products and Tools

by Suhung Shen, Gregory Leptoukh, Tatiana Loboda, Ivan Csiszar, Peter Romanov, Irina Gerasimov, 2008 Fall AGU Meeting.

Studies have indicated that land cover and use changes in Northern Eurasia influence global climate system. However, the procedures are not fully understood and it is challenging to understand the interactions between the land changes in this region and the global climate. Having integrated data collections from multiple disciplines are important for studies of climate and environmental changes. Remote sensed and model data are particularly important due to sparse in situ measurements in many Eurasia regions especially in Siberia. The NASA GES DISC (Goddard Earth Sciences Data and Information Services Center) NEESPI data portal provides satellite remote sensing and numerical model data for atmospheric, land surface, and cryosphere through an online, easily-accessible data archive and distribution system. Data searching, subsetting, and downloading functions are available in NEESPI data portal. One useful tool is the Web-based online data analyses and visualizations system, Giovanni (Goddard Interactive Online Visualization ANd aNalysis Infrastructure), that allows scientists to assess easily the state and dynamics of terrestrial ecosystems in Northern Eurasia and their interactions with global climate system. Recently, we have developed a product metadata database prototype to expend the NASA NEESPI data portal for providing comprehensive data information and leveraging data sharing within NEESPI projects. The database provides product level information for NEESPI science projects. The data are grouped into thress topics: atmosphere, land surface, and cryosphere. The desired data can be found through navigation and free text search. The data list can be narrowed down by filtering with a number of constraints. The standard metadata includes product name, product description, temporal and spatial coverage, data source, person of contact, etc. The purpose of having metadata database is to provide a venue for NEESPI scientists to find the desired data easily. This presentation introduces the infrastructure of NEESPI data portal: products, tools, and information. Sample studies will be presented that demonstrates the usefulness of the Giovanni NEESPI system in multi-sensor data exploration.

Experiences in Bridging the Gap Between Science and Decision Making at NASAs GSFC Earth Sciences Data and Information Services Center (GES DISC)

by Steve Kempler, Lawrence Friedl, Bill Teng and Chris Lynnes, 2008 Fall AGU Meeting.

For over 5 years, in recognizing the significance of NASA remote sensing Earth science data in monitoring and better understanding our planet's natural environment, NASAs Earth Science Division, Applied Sciences Program has implemented the 'Decision Support Through Earth Science Research Results' program to solicit "proposals that develop and demonstrate innovative and practicable applications of NASA Earth science observations and research… that focus on improving decision making activities" (NASA ROSES-2008, A.18 solicitation). This very successful program has yielded several monitoring, surveillance, and decision support systems through collaborations with benefiting organizations in the areas of agriculture, air quality, disaster management, ecosystems, public health, water resources, weather, and climate. The Goddard Space Flight Center (GSFC) Earth Sciences Data and Information Services Center (GES DISC) has participated in this program on two projects (one complete, one ongoing), as well as opportune ad hoc collaborations gaining much experience in the formulation, management, development, and implementation of decision support system utilizing NASA Earth science data. The purpose of this presentation is to share GES DISC decision support system project experiences in regards to system sustainability, required data quality (versus timeliness), data provider understanding how decisions are made, which leads to the data receiver willingness to use new types of information to make decisions, as well as other topics. In addition, defining metrics that 'really' evaluate success will be exemplified.

Customer-oriented Data Formats and Services for Global Land Data Assimilation System (GLDAS) Products at the NASA GES DISC

by Hongliang Fang, Hiroko Kato, Matthew Rodell, Bill Teng and Bruce Vollmer, 2008 Fall AGU Meeting.

The Global Land Data Assimilation System (GLDAS) has been generating a series of land surface state (e.g., soil moisture and surface temperature) and flux (e.g., evaporation and sensible heat flux) products, simulated by four land surface models (CLM, Mosaic, Noah and VIC). These products are now accessible at the Hydrology Data and Information Services Center (HDISC), a component of the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC).

Current GLDAS data hosted at HDISC include a set of 1.0 data products, covering 1979 to the present, from the four models and a 0.25 data product, covering 2000 to the present, from the Noah model. In addition to the basic anonymous ftp data downloading, HDISC provides several advanced data search and downloading services, such as Mirador and OPeNDAP. Mirador is a Google-based search tool that provides keywords searching, on-the-fly spatial and parameter subsetting of selected data. OPeNDAP (Open-source Project for a Network Data Access Protocol) enables remote OPeNDAP clients to access OPeNDAP served data regardless of local storage format.

Additional data services to be available in the near future from HDISC include (1) on-the-fly convertor of GLDAS to NetCDF and binary data formats; (2) temporal aggregation of GLDAS files; and (3) Giovanni, an online visualization and analysis tool that provides a simple way to visualize, analyze, and access vast amounts of data without having to download the data.

Online Visualization and Analysis of Merged Global Geostationary Satellite Infrared Dataset

by Zhong Liu, D. Ostrenga, G. Leptoukh and A. Mehta, 2008 Fall AGU Meeting.

The Goddard Earth Sciences Data Information Services Center (GES DISC) is home of Tropical Rainfall Measuring Mission (TRMM) data archive. The global merged IR product, also known as, the NCEP/CPC 4-km Global (60°N – 60°S) IR Dataset, is one of TRMM ancillary datasets. They are globally-merged (60°N-60°S) pixel-resolution (4 km) IR brightness temperature data (equivalent blackbody temperatures), merged from all available geostationary satellites (GOES-8/10, METEOSAT-7/5 & GMS). The availability of data from METEOSAT-5, which is located at 63E at the present time, yields a unique opportunity for total global (60°N-60°S) coverage. The GES DISC has collected over 8 years of the data beginning from February of 2000. This high temporal resolution dataset can not only provide additional background information to TRMM and other satellite missions, but also allow observing a wide range of meteorological phenomena from space, such as, mesoscale convection system, tropical cyclones, hurricanes, etc. The dataset can also be used to verify model simulations.

Despite that the data can be downloaded via ftp, however, its large volume poses a challenge for many users. A single file occupies about 70 MB disk space and there is a total of ~73,000 files (~4.5 TB) for the past 8 years. Because there is a lack of data subsetting service, one has to download the entire file, which could be time consuming and require a lot of disk space.

In order to facilitate data access, we have developed a web prototype, the Global Image ViewER (GIVER), to allow users to conduct online visualization and analysis of this dataset. With a web browser and few mouse clicks, users can have a full access to over 8 year and over 4.5 TB data and generate black and white IR imagery and animation without downloading any software and data. Basic functions include selection of area of interest, single imagery or animation, a time skip capability for different temporal resolution and image size. Users can save an animation as a file (animated gif) and import it in other presentation software, such as, Microsoft PowerPoint. These capabilities along with examples will be presented in this poster.

Spatial and Temporal Variability Analyses of the Chesapeake Bay Outflow Plume with Satellite Ocean Color Data

by Yong Zhang, Gregory G. Leptoukh, Suhung Shen and James G. Acker, 2008 Fall AGU Meeting.

Estuarine outflow plumes play an important rule in mixing processes between estuaries and the continental shelf. The Chesapeake Bay outflow plume has been subjected to intensive research, particularly in field investigations and numerical modeling. This study identifies the outflow plume from the Chesapeake Bay by utilizing satellite-based ocean color data (SeaWiFS and MODIS). By analyzing 11 years of SeaWiFS and 6 years of MODIS observational data, the spatial and temporal characteristics of the Chesapeake Bay outflow plume are described. The general spatial pattern of the Chesapeake Bay outflow plume is presented, and the range of seasonal variability is determined. The time-averaged dynamic behaviors of the plume on the inner continental shelf are discussed by examining other related oceanographic data. In this study, various long-term spatial and temporal analyses of the ocean color data are performed by the Giovanni system, which is a robust, multifunctional, and easy-to-use Web application used to visualize, analyze, and access Earth science data.

Equatorial Superrotation on Earth Induced by Optically Thick Dust Clouds

by Xun Zhu, Luke D. Oman, Darryn W.Waugh and Steven A. Lloyd, 2008 Fall AGU Meeting.

How does the Earth's atmosphere respond to exceptional aerosol events, and what is the mechanism leading to consequent past and possible future climate shifts? One possible mechanism leading to aerosol-induced climate shifts is the striking atmospheric dynamics phenomenon of equatorial superrotation, such as that found on Venus and Saturn's moon Titan, with its enhanced meridional transport. Recently, a significant breakthrough has been made in our theoretical understanding of atmospheric superrotation on Venus and Titan. Extending this result regarding superrotation in planetary atmospheres to the concept of superrotation in Earth's atmosphere serves not only to shed insight into long-standing and seemingly disparate questions of Earth's climate (such as the mechanism of mass extinction and geo-engineering mitigation of global warming) but also to develop a common theoretical framework to address the impacts of profound changes of atmospheric aerosols and their consequences. The three-dimensional Goddard Institute for Space Studies (GISS) modelE GCM and Johns Hopkins University Applied Physics Laboratory (JHU/APL) two-dimensional radiative-dynamical model are used to investigate the induction of equatorial superrotation in Earth's stratosphere, as well as its effect on meridional transport of dust and aerosols in association with the supervolcano eruptions. Preliminary results show that an equatorial superrotational wind in the upper troposphere was initiated and lasted for more than two years following the Mt Toba eruption near the equator about 71,000 years ago. The circulation structure at mid-latitude was also altered, indicating a global impact of an equatorial injection of an aerosol layer.

Enhancing a global satellite-based Landslide hazard Algorithm with regional applications in Central America and the Caribbean

by Dalia Bach Kirschbaum, Art Lerner-Lam, Bob Adler, Yang Hong and Bill Teng, 2008 Fall AGU Meeting.

A satellite-based landslide algorithm has been developed using land surface information and multi-satellite rainfall data to address landslide susceptibility dynamically. The evaluation of this global system indicates that principally three factors limit the algorithm's performance, including unsuitable weighting of several surface input parameters to the susceptibility map, under-estimation of rainfall accumulations, and incompleteness of the landslide inventories. To address these limitations and refine the methodology used to calculate the input variables for the algorithm this research considers the algorithm components at a regional scale focusing on Central America and the Caribbean. Drawing upon available landslide inventories and higher resolution surface products including Shuttle Radar Topography Mission (SRTM) DEMs, land cover, and other parameters, this study identifies regional landslide susceptibility by employing several different techniques. Susceptibility maps are compiled for multiple test regions and compared using sensitivity analysis of the input surface parameters, indicating which factors are the primary drivers of successful susceptibility calculations. The rainfall triggering relationship is also considered at the regional scale, considering both in situ and satellite data to better resolve the range of potential rainfall threshold conditions. Additional variables such as soil moisture can be integrated into the susceptibility and rainfall variables to provide a more dynamic estimation of potential landsliding conditions. Regional landslide vulnerability data can then be extracted by incorporating socio-economic data including population density and transportation networks. The improved inputs can then be tested in a regional version of the landslide algorithm and validated for system performance. The results of the regional study indicate that resolution of the input parameters can significantly affect the susceptibility calculations and the rainfall relationship remains a difficult aspect of the algorithm to effectively categorize; however, approaching the algorithm at the regional scale improves algorithm performance and is a crucial component of the second version of this global system.

Usefulness of Satellite Soil Moisture Data for Improving an Existing Global Landslide Algorithm for Monitoring and Forecasting

by Bill Teng, Dalia Kirschbaum, Yang Hong and Bob Adler, 2008 Fall AGU Meeting.

Satellite soil moisture data, when integrated into an existing experimental global landslide hazard algorithm, have the potential to inform landslide analyses conducted at large spatial scales. This result can be reasonably expected, because increased piezometric head drives landslide hazards, although the relationship between changing soil pore water pressure (PWP) and satellite soil moisture retrievals is not straightforward. The degree to which changing PWP affects landslide potential depends on several other relatively static terrain parameters (e.g., topography, soils, land cover) related to landslide susceptibility. The existing landslide algorithm has been developed by combining these static terrain parameters with multi-satellite rainfall data to map global landslide susceptibility and forecast rainfall-triggered, shallow landslides. The rainfall trigger is based on rainfall intensity-duration thresholds derived from the Tropical Rainfall Measuring Mission (TRMM) data. The current algorithm does not account for prior surface conditions or the memory of the interaction between rainfall and terrain parameters, in the form of antecedent soil moisture. The objectives of this study are (1) to demonstrate a relationship between satellite soil moisture data and historical landslide events and (2) to determine the usefulness of integrating soil moisture into the existing landslide algorithm for monitoring and forecasting. Study sites include portions of the U.S. and Central America. Satellite soil moisture data used for this study include those derived from the TRMM Microwave Imager (TMI) and Aqua Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E). These microwave retrievals are sensitive to only the soil moisture in the top several cm of the soil layer (i.e., "skin depth"). To include subsurface soil moisture in the study, the Global Land Data Assimilation System (GLDAS) modeled soil moisture data (surface and subsurface) are also used. The satellite and modeled antecedent soil moisture data are compared with rainfall time series and a recently compiled global landslide inventory database, to determine the difference in algorithm performance with and without the integration of soil moisture data. Characterizing the relationships between soil moisture and other terrain parameters and incorporating these relationships into an updated version of the algorithm have the potential to greatly improve landslide forecasting worldwide.

New Collections of Aura Atmospheric Data Products at the GES DISC

by James Johnson, Suraiya Ahmad, Irina Gerasimov and Gregory Leptoukh, 2008 Fall AGU Meeting.

The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) is the primary archive of atmospheric composition data from the Aura mission. The data from OMI, MLS and HIRDLS are available at original pixel resolution (Level-2 orbital swath data product). OMI data are also available as daily global binned product (Level-2G) which retains original time stamp, geolocation and quality information of each pixel level observations that are binned in a grid, and as daily global gridded product (Level-3). The newest MLS data are version 2.2 (collection 2), HIRDLS data are version 2.4.29 (collection 4) and OMI products are currently version 3 (collection 3). All of these data are available free to the public (see http://disc.gsfc.nasa.gov/Aura/).

The GES DISC also provides subsetting, data format conversion, visualization and data analysis services for the Aura data products. Giovanni is an online interactive web-based data exploration tool. Giovanni allows user to view spatial and temporal variability, as well as vertical structure of ozone and major atmospheric trace gases from various satellite sensors and models. Giovanni capabilities include creating spatial maps, animations, cross-sections, correlations, time series analysis, and importing data into external applications, such as Google Earth. Data can be downloaded in several file formats (ASCII, HDF, netCDF, KMZ) for further analysis (see http://giovanni.gsfc.nasa.gov).

Using NASA's Giovanni Web Portal to Access and Visualize Satellite-Based Earth Science Data in the Classroom

by Steven A. Lloyd, James G. Acker, Ana I. Prados and Gregory Leptoukh, 2008 Fall AGU Meeting.

One of the biggest obstacles for the average Earth science student today is locating and obtaining satellite-based remote sensing datasets in a format that is accessible and optimal for their data analysis needs. At the Goddard Earth Sciences Data and Information Services Center (GES-DISC) alone, on the order of hundreds of Terabytes of data are available for distribution to scientists, students and the general public. The single biggest and time-consuming hurdle for most students when they begin their study of the various datasets is how to slog through this mountain of data to arrive at a properly sub-setted and manageable dataset to answer their science question(s). The GES DISC provides a number of tools for data access and visualization, including the Google-like Mirador search engine and the powerful GES-DISC Interactive Online Visualization ANd aNalysis Infrastructure (Giovanni) web interface.

Giovanni provides a simple way to visualize, analyze and access vast amounts of satellite-based Earth science data. Giovanni's features and practical examples of its use will be demonstrated, with an emphasis on how satellite remote sensing can help students understand recent events in the atmosphere and biosphere.

Giovanni is actually a series of sixteen similar web-based data interfaces, each of which covers a single satellite dataset (such as TRMM, TOMS, OMI, AIRS, MLS, HALOE, etc.) or a group of related datasets (such as MODIS and MISR for aerosols, SeaWIFS and MODIS for ocean color, and the suite of A-Train observations co-located along the CloudSat orbital path). Recently, ground-based datasets have been included in Giovanni, including the Northern Eurasian Earth Science Partnership Initiative (NEESPI), and EPA fine particulate matter (PM2.5) for air quality. Model data such as the Goddard GOCART model and MERRA meteorological reanalyses (in process) are being increasingly incorporated into Giovanni to facilitate model-data intercomparison. A full suite of data analysis and visualization tools is also available within Giovanni.

GES DISC is currently developing a systematic series of training modules for Earth science satellite data, associated with our development of additional datasets and data visualization tools for Giovanni. Training sessions will include an overview of the Earth science datasets archived at Goddard, an overview of terms and techniques associated with satellite remote sensing, dataset-specific issues, an overview of Giovanni functionality, and a series of examples of how data can be readily accessed and visualized.

Data Visualization and Analysis for Climate Studies Using NASA Giovanni Online System

by Hualan Rui, Gregory Leptoukh, William Teng and Steven Lloyd, 2008 Fall AGU Meeting.

With the many global earth observation systems and missions, focused on climate systems, and the associated large volumes of observational data available for exploring and explaining how climate is changing and why, there is an urgent need for climate services infrastructure. Giovanni, the NASA GES DISC Interactive Online Visualization ANd ANalysis Infrastructure, is a simple-to-use yet powerful tool for research on and application of global warming and climate change, as well as their impacts on such areas as weather, air quality, agriculture, and water resources. Giovanni is an online data system with a remarkable capability for data exploration, basic research, and exemplary data visualization, utilizing data from many different NASA Earth observation missions. With these long-term, high resolution and widely available data sets, including parameters such as temperature, precipitation, and greenhouse gases (water vapor, methane, carbon dioxide, and ozone), Giovanni provides capabilities to facilitate climate change and global warming research. Examples include the computation and visualization of long-term means; the analysis of time series and trends; the study of inter-annual and intra-annual variabilities; and the identification and study of extreme events (e.g., hurricanes, floods, droughts, El Nino, La Nina). In addition to images, Giovanni also provides the output data in ASCII, HDF, NetCDF, and KML formats, and exports output images to Google Earth. Giovanni has proven to be a highly successful and popular climate services infrastructure that is significantly contributing to the study of global warming and climate change and their social, political, economic, and environmental issues that affect all of us on this planet.

Earth Science Mining Web Services

by Long B. Pham, Christopher S. Lynnes, Mahabaleshwa Hegde, Sara Graves,Rahul Ramachandran, Manil Maskey and Ken Keiser, 2008 Fall AGU Meeting.

To allow scientists further capabilities in the area of data mining and web services, the Goddard Earth Sciences Data and Information Services Center (GES DISC) and researchers at the University of Alabama in Huntsville (UAH) have developed a system to mine data at the source without the need of network transfers. The system has been constructed by linking together several pre-existing technologies: the Simple Scalable Script-based Science Processor for Measurements (S4PM), a processing engine at the GES DISC; the Algorithm Development and Mining (ADaM) system, a data mining toolkit from UAH that can be configured in a variety of ways to create customized mining processes; ActiveBPEL, a workflow execution engine based on BPEL (Business Process Execution Language); XBaya, a graphical workflow composer; and the EOS Clearinghouse (ECHO). XBaya is used to construct an analysis workflow at UAH using ADaM components, which are also installed remotely at the GES DISC, wrapped as Web Services. The S4PM processing engine searches ECHO for data using space-time criteria, staging them to cache, allowing the ActiveBPEL engine to remotely orchestrates the processing workflow within S4PM. As mining is completed, the output is placed in an FTP holding area for the end user. The goals are to give users control over the data they want to process, while mining data at the data source using the server's resources rather than transferring the full volume over the internet. These diverse technologies have been infused into a functioning, distributed system with only minor changes to the underlying technologies. The key to this infusion is the loosely coupled, Web- Services based architecture: All of the participating components are accessible (one way or another) through (Simple Object Access Protocol) SOAP-based Web Services.

Semantic Web Data Discovery of Hydrology and Other Earth Science Data at NASA Goddard Earth Sciences DISC

by Richard F Strub, Mahabaleshwara Hegde, Christopher S Lynnes, Hongliang Fang and William Teng, 2008 Fall AGU Meeting.

The enhancement of Mirador, a keyword-based data search and access web interface, by integrating an Earth Sciences ontology for the data archived at the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC), promises to significantly improve the users' capability to quickly search for and access data sets of interest. Mirador employs the power of Google's universal search technology for fast metadata keyword searches, augmented by additional capabilities such as event searches (e.g., hurricanes), searches based on location gazetteer, and data services such as format converters and sub-setters. To optimally use the current Mirador's metadata keyword search capability, based on indexing, requires user familiarity with the data sets in Mirador to know what keywords to use. Currently, Mirador does not allow search by navigation. The initial objective of the current Mirador enhancement effort is to develop an interface that presents users with multiple views (e.g., Project, Instrument, Earth Science Parameter, Application) of all the available data in Mirador. Starting with any of these top level views, users can simply and quickly navigate down any of the trees to find data of interest. The key semantic technology behind these tree structures is an ontology based on the Global Change Master Directory (GCMD) Directory Interchange Format (DIF). Use cases will be presented to illustrate the enhanced Mirador. The current initial effort only begins to tap into the full power of the Semantic Web. With the new, enhanced Mirador (expected release date of version 1 is December 2008), users will be able to easily navigate the hierarchical path of their choice. Mirador's semantic infrastructure, once fully realized, will enable interoperability with other semantically based hydrological data discovery and service frameworks.

Simulation of the Aquarius Radar Scaterometer

by Matthaeis P.de, Le Vine, D. M., Dinnat E. P., Jacob, D. S. and Abraham, S, submitted for presentation at URSI-2008, Chicago, Aug 7-16, 2008

The NASA AMSR-E SWE Product: Maintenance, Validation Results and Potential Improvements

by M. Tedesco, R. J. Kelly, J. L. Foster, J. R. Wang, E.J. Kim, T. Markus and J. Miller, XXIX URSI General Assembly, August 2008 (abstract)

The Contribution of Galaxy Reflected on the Rough Ocean Surface for L-band Radiometery

by Dinnat E. P., Le Vine D. M and Abraham S., accepted for presentation at MICRORAD-2008, Italy, March 11-18, 2008.

Oceanographic Data Management and Exchange Standard: Science Keywords

by Mao, Jianping and de Bruin, Taco, the First Session of the IODE/JCOMM Forum on Oceanographic Data Management and Exchange Standards, 21-25 January 2008, Oostende, Belgium. (Presentation)

The Proliferation of Metadata Standards and the Evolution of NASA's Global Change Master Directory (GCMD) Standard for Uses in Earth Science Data Discovery

by Mao, Jianping. Stevens, Tyler, Olsen, Lola, Earth Science Information Partners (ESIP) Winter Meeting, Washington, D.C., 9-10 January 2008. (Presentation)

Registering Earth Science Data and Data Related Services Using NASA's Global Change Master Directory (GCMD)

by Stevens, Tyler, Earth Science Information Partners (ESIP) Winter Meeting, Washington, D.C., 9-10 January 2008. (Presentation)

Discover Climate Data using Data Resolution Refinement through NASA's Global Change Master Directory

by Ritz, Scott. Stevens, Tyler. Mao, Jianping., Olsen, Lola, Earth Science Information Partners (ESIP) Winter Meeting, Washington, D.C., 9 January 2008. (Poster)

MODIS Science Team Meeting

May 2008 (Paul Hubanks)

Fall AGU Meeting

San Fransisco (2008), Earth Observing System Project Support group and Mike Carlowicz and Kathryn Hansen

Geological Society of America–Celebrating the International Year of Planet Earth

Houston, TX, Oct. 5-9, 2008, Earth Observing System Project Support group

40th Annual meeting of the Division for Planetary Sciences (DPS)

Cornell University, Ithaca, NY, Oct. 10-15, 2008, Earth Observing System Project Support group

Association of Science – Technology Conf. (ASTC) 2008

Philadelphia, PA, Oct. 18-21, 2008, Earth Observing System Project Support group

PECORA 17, The Future of Land Imaging

Denver, CO., Nov. 17-19, 2008, Earth Observing System Project Support group

NCSE–Biodiversity in a Rapidly Changing World

Ronald Reagan Building, Washington DC, Dec. 8-10, 2008, Earth Observing System Project Support group