1. 11/20/0711 Group Four Brian CurtisImran Shah Byeonghwa ParkFrancis Kanyugi CSI 710 Project 11/20/07

2. 22 Area of science covered Space weather science 11/20/07

3. 33 Queries take a long time Most analysis is of time series data for scientists Desire to focus on science not preparation of query and waiting for result Motivation 11/20/07

4. 44 The project seeks to implement a web based system that allows for queries to a space weather science database for scientific research and analysis. 11/20/07 Our Research

5. 11/20/0755 123 The majority of analysis done by space scientists concerns time series data. Existing databases in space science are suboptimal for queries over a long time span. Data were stored in different places. Various data formats are used. 11/20/07 http://cdaweb.gsfc.nasa.gov/

6. 11/20/0766 Data 1) Advanced Composition Explorer (Bz,Vx)‏ 2) National Space Science Data Center (Dst)‏ 3) Solar Influences Data analysis Center (SSN)‏ Data used reside on 1)ACE 1)NSSDC 1)SIDC 11/20/07

7. 7  ACE spacecraft was launched by a Delta rocket on August 25, 1997  ACE spacecraft carries 9 instruments in order to collect and measure particles.  (CRIS, SIS, ULEIS, SEPICA, SWIMS, SWICS, EPAM, SWEPAM, MAG, RTSW)‏  MAG (Magnetometer ) measures Bz  SWEPAM (Solar Wind Electron, Proton, and Alpha Monitor ) provides better information of solar wind conditions (Vx)‏

8. 11/20/078 4) SSN: Sunspot Number (DAT format)‏ Four variables are used: Bz, Vx, Dst, and SSN 1) Bz: North/South-component of magnetic field (HDF4 format)‏ 3) Dst: Disturbance Storm-time (DAT format)‏ Description of Variables

9. 11/20/079 Suitable for large datasets & very fast access Easily share data over different platforms with various languages Hierarchical Data Format 5 (HDF5)‏

10. 11/20/0710 123 Develop GUI interface Develop a code to read, extract, and analyze data Convert Data format DAT to HDF5 HDF4 to HDF5 (in both cases, we wrote code in Octave and Java)‏ 11/20/07 Get data from different sources

11. 11/20/0711 123 11/20/07 Hardware used: aurora.gmu.edu Software used: Matlab/Octave HTML, PHP Java 2 x 1.8 Ghz Processor 4 GB RAM 500 GB HDD Ubuntu Linux

12. 11/20/0712 Architecture

13. 11/20/0713 11/20/07 GUI

14. 11/20/0714 Retrieve Code 11/20/07 http://aurora.gmu.edu/Project/retrieve.m

15. 11/20/0715 1. How does correlation between the variability of 1-hour values of the north-south component of the interplanetary magnetic field, Bz, measured by the ACE satellite change over a 8-year interval? 2. How does the 1-hour value of the solar wind velocity measured at ACE correlate with the sunspot number over a 8-year interval? 3. How does the Dst Index correlate with Sunspot Number? 4. What are the times when Bz has its greatest positive to negative fluctuation? 5. When are the times when Bz was in the range of +-1nT (nanotesla) for 24 Hours? Scientific questions & Results 11/20/07

16. 16 6. When Bz has its greatest positive to negative fluctuation, what does Vx do during this time? 7. When Bz was in the range of +-1nT (nanotesla) for 24 Hours, what does Vx do during this time? 8. When Vx has its greatest positive to negative fluctuation, what does Bz do during this time? 9. What is the probability distribution function that best characterizes the 1-hour values of Vx measured by ACE? 10. What is the probability distribution function that best characterizes the 1-hour values of Bz measured by ACE? Scientific questions & Results 11/20/07

17. -Link to 10 Query Questions http://aurora.gmu.edu/Project/querypage.html

18. 11/20/0718 11/20/07 Conclusions -The response time of the query is fast allowing scientists to spend more time analyzing the data instead of waiting for the data -We’ve combined the function of retrieving data and data plotting/analysis into one easy to use GUI. Future Research -Add more data from different sources and years -Enhance user interface to allow for more operations -Enhance “look and feel” -Determine how retrieve function can be generalized to be more flexible for data with variable and possible dynamic start and end dates

19. 11/20/0719  Brian Curtis (Group Leader)‏  Pictures used in this presentation  1. SWEPAM (http://swepam.lanl.gov/)http://swepam.lanl.gov/  2. MAG (http://www.ssg.sr.unh.edu/mag/ace/photographs.html)‏  3. ACE (http://www.ssg.sr.unh.edu/mag/ace/images/ace_mag.gif)‏http://www.ssg.sr.unh.edu/mag/ace/images/ace_mag.gif  Data Sources  1. Mag (Bz) (ftp://mussel.srl.caltech.edu/pub/ace/level2)‏ftp://mussel.srl.caltech.edu/pub/ace/level2  2. SWEPAM (Velocity) (ftp://mussel.srl.caltech.edu/pub/ace/level2/)ftp://mussel.srl.caltech.edu/pub/ace/level2/  3. Sunspot number (http://sidc.oma.be/sunspot-data/dailyssn.php)‏(http://sidc.oma.be/sunspot-data/dailyssn.php  4. Disturbance Storm-Time (ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/omni/)‏ftp://nssdcftp.gsfc.nasa.gov/spacecraft_data/omni/ 11/20/07