SA51A-0229 0800h

Transition of GAIM from Research to Operations

* Nicholas, A C (andrew.nicholas@nrl.navy.mil) , Naval Research Laboratory, Code 7607 4555 Overlook Ave, Washington, DC 20375 United States
Thonnard, S E (stefan.thonnard@nrl.navy.mil) , Naval Research Laboratory, Code 7607 4555 Overlook Ave, Washington, DC 20375 United States
Budzien, S A (scott.budzien@nrl.navy.mil) , Naval Research Laboratory, Code 7607 4555 Overlook Ave, Washington, DC 20375 United States
Dandenault, P B (pdandenault@ssd5.nrl.navy.mil) , Naval Research Laboratory, Code 7607 4555 Overlook Ave, Washington, DC 20375 United States

In July 2004, Utah State University delivered the Global Assimilation of Ionospheric Measurements (GAIM) for transition to operations at the Air Force Weather Agency (AFWA) by 2006. This system was designed to assimilated measurements from a variety of sources and provide ionospheric specification and forecasting satisfying DoD needs. Coordinated by AFWA, the transition of GAIM to operations at AFWA is a multi-organizational effort and includes data source evaluation, environment porting, validation and integration. The Naval Research Laboratory is responsible for the configuration management of GAIM between the USU and AFWA during this transition process. As such, NRL has installed GAIM to provide daily ionospheric specification and 24 hour forecast on a routine basis. Additionally, NRL has begun new research effort to investigate the assimilation of ultraviolet airglow observations into GAIM. This poster describes the configuration of GAIM at NRL and ionospheric specification capabilities that are currently available. The information will include a background of the assimilation process and data inputs used at NRL. An overview of ongoing GAIM research including plans at NRL to assimilate ultraviolet airglow emission observations will be provided. Additionally, a brief description of the graphical tools to operate the GAIM model and visualize the output will be provided.

SA51A-0230 0800h

SuperDARN: An Established, International, Ground Based Data System

* Barnes, R J (robin.barnes@jhuapl.edu) , Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723 United States
Greenwald, R A (ray.greenwald@jhuapl.edu) , Johns Hopkins Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723 United States

The Super Dual Auroral Radar Network is an international collaboration that uses High Frequency (HF) Radars to study the Ionosphere. In 1996 a document called "The Principal Investigators Agreement", established a framework that allowed the many diverse partners to share both software and data, and to agree on a common operating schedule that for the first time allowed global simultaneous observation of the Ionosphere in both the northern and southern hemisphere. As the original developer of the HF Radar Design, and the princicpal driving force in the establishment of the SuperDARN community, the Johns Hopkins University Applied Physics Laboratory has become one of the leading institutions within the group. APL has responsibility for maintaining the SuperDARN data system. This includes the assimilation of Data from the northern hemisphere radar sites, the maintenance of the online data archives and real-time data system, and the development and distribution of the SuperDARN operational and analyis software. Since the signing of the Principal Investigators Agreement in 1996, the SuperDARN community has dealt with the unique problems of dealing with a ground based array of instruments located in remote locations around the world and the problems of dealing with a diverse group of international users from a variety of institutions and backgrounds.

SA51A-0231 0800h

DIDBase: Intelligent, Interactive Archiving Technology for Ionogram Data

* Reinisch, B W (bodo_reinisch@uml.edu) , Environmental, Earth, and Atmospheric Sciences Department, Center for Atmospheric Research, University of Massachusetts Lowell, 600 Suffolk Street, Lowell, MA 01854 United States
Khmyrov, G (.) , Environmental, Earth, and Atmospheric Sciences Department, Center for Atmospheric Research, University of Massachusetts Lowell, 600 Suffolk Street, Lowell, MA 01854 United States
Galkin, I A (.) , Environmental, Earth, and Atmospheric Sciences Department, Center for Atmospheric Research, University of Massachusetts Lowell, 600 Suffolk Street, Lowell, MA 01854 United States
Kozlov, A (.) , Environmental, Earth, and Atmospheric Sciences Department, Center for Atmospheric Research, University of Massachusetts Lowell, 600 Suffolk Street, Lowell, MA 01854 United States

Vertical ionospheric sounding data have been used in a variety of scenarios for ionospheric now-casting. Growing need for an accurate real-time specification of vertical electron density distribution at multiple locations stimulates interest to intelligent data management systems that can arrange concurrent, remote access to the acquired data. This type of data access requires high level of interaction and organization to support routing of data between ionosondes, data analysts, quality validation experts, end user applications, data managers, and online data repositories such as the World Data Centers. Digital Ionogram Database (DIDBase) is a pilot project started at UMASS Lowell in 2001, sponsored in part by the Air Force Research Laboratory, for management of real-time and retro data from a network of 50 digisondes. The DIDBase archives hold both raw and derived digisonde data under management of a commerical strength DBMS, providing convenient means for automated ingestion of real-time data from online digisondes (40 locations worldwide as of September 2004), remote read access to the data over HTTP Web protocol (http://ulcar.uml.edu/DIDBase/), remote read/write access from SAO Explorer workstations used for data visualization and interactive editing, and an ADRES subsystem for automated management of data requests. DIDBase and ADRES employ cross-platform solutions for all involved software, exchange protocols, and data. The paper briefly describes the DIDBase operations during a recent Cal/Val campaign for the SSUSI/SSULI instruments on the DMSP F16 spacecraft. Here 26 online digisondes provided ground-truth NmF2 data for the overhead and limb passes of the spacecraft. Since the start of the campaign in December 2003, the total number of the ADRES requests exceeded 9,000 by summer 2004.

SA51A-0232 0800h

Space Physics Metadata Searching Using Space Physics Data Markup Language (SPDML) and Scientific Resource Access System (SRAS)

* Weiss, M B (Michele.Weiss@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Morrison, D D (Daniel.Morrison@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Hashemian, M R (Mohammed.Hashemian@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Daley, R A (Rose.Daley@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Immer, E A (Lis.Immer@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Fortner, B I (Brand.Fortner@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Jen, J (Julia.Jen@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Steele, J (Josh.Steele@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States

The Space Physics Data Markup Language (SPDML) is a prototype system that provides a standard method of data querying enabling multi-instrument comparison to TIMED data and tracing the Sun-Earth connection. It facilitates the development of an extensible standard for next generation multi-mission catalog searching capabilities such as those proposed for use in Virtual Observatories. SPDML defines a metadata-rich standard method for expressing Space Physics datasets utilizing XML (eXtensible Markup Language) and describes the structure, semantics and content of any space physics data set in any data format. SPDMLs extensibility has been demonstrated, both through its data dictionary that is compatible with the developing Space Physics Archive Search and Extract (SPASE) data dictionary, and by integrating it with another prototype system for accessing Space Physics Metadata - SRAS (Scientific Resource Access System). A testbed has been developed and deployed using data from the NASA TIMED spacecraft and ground-based SuperDARN radars to demonstrate the multi-mission search capabilities (http://sd-www.jhuapl.edu/SPDML) and will be used to demonstrate Virtual Observatory concepts in action.

http://sd-www.jhuapl.edu/SPDML

SA51A-0233 0800h

The Need for an Integrated Ionosphere-Thermosphere Data System: Lessons Learned from the GUVI DP POC

* Holland, D (Doug.Holland@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Weiss, M B (Michele.Weiss@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Morrison, D D (Daniel.Morrison@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Paxton, L J (Larry.Paxton@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States
Eichert, J (Jim.Eichert@jhuapl.edu) , The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723-6099 United States

The GUVI Data Processing Payload Operations Center (DP POC) routinely processes GUVI instrument data and provides the web interface between the GUVI Science Data Products and the user. As a stand-alone system, the GUVI system meets the challenges of providing a single instrument's data to a diverse and growing set of users. In this talk, we will discuss access to GUVI data from the perspective of the GUVI instrument team as well as access from outside users and lessons learned from interaction between the DP POC and the TIMED Mission Data Center (MDC). GUVI and the other TIMED instrument POCs were implemented as individual systems with minimal interface requirements mandated by the TIMED program. As such, commonality of services, tools and resources does not exist thereby limiting cross-instrument comparisons and correlations. A GUVI user could access data directly from the GUVI web site and never see the capabilities of the TIMED MDC. Correspondingly, a GUVI user could go to the TIMED MDC, locate GUVI data and never see tools and services provided by the GUVI DP POC which could facilitate understanding of the GUVI data. The interaction between the TIMED MDC and the instrument POCs are an analogy for lessons learned when data centers are tied together to create Virtual Observatories in the future.

http://guvi.jhuapl.edu

SA51A-0234 INVITED 0800h

Virtual Metadata for Multi-Satellite Data Discovery

* Morrison, D (Daniel.Morrison@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States
Weiss, M (Michele.Weiss@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States
Daley, R (Rose.Daley@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States
Immer, L (lis.immer@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States
Skura, J (joe.skura@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States
Barnes, R (robin.barnes@jhuapl.edu) , Johns Hopkins Univ. Applied Physics Lab., 11100 Johns Hopkins Rd., Laurel, MD 20723 United States

With the advent of a growing number of NASA mission data centers there has been increasing interest and efforts towards the creation of "Virtual Datacenters" or "Virtual Observatories". These Virtual Observatories would tie together large data holdings allowing particular regions of space and the near Earth environment to be studied more completely. With the increasing reliance on remote sensing instruments (all of the instruments on the NASA TIMED satellite are remote sensing for example) in the SEC community a flaw in the current designs for Virtual Observatories in the ITM community can be seen - the metadata required for satisfactory high-level querying of data involving multi-satellite configurations does not exist. This is because adequate information on the location of instrument field-of-views and satellite locations are not provided in the metadata. In addition, one satellite instrument may generate metadata in one coordinate system (e.g. magnetic) and another in another coordinate system (e.g. geographic). Currently, the metadata available for existing instruments and satellites does not allow for queries to be made determining when instrument fields-of-view overlap or requiring conversion between different coordinate systems or allowances for propagation delays. In this talk we will describe a virtual metadata generator that allows intersections between different satellite instrument observation regions to be determined as well as conversion between coordinate systems all in real time as part of a data discovery query. This virtual metadata tool would be implemented as part of a broader structure of web services that can be plugged into existing and future virtual observatory designs allowing them to better serve the science community.

Author(s) (2004), Title, Eos Trans. AGU, 85(47), Fall Meet. Suppl., Abstract #####-##.