# Presentation: 514175

- Johns Hopkins University, Applied Physics Laboratory, Laurel, Maryland, USA

- The Global Magnetometer Network Initiative: SuperMAG

- USGS, Dr. Jeffrey J. Love; MEASURE, UCLA IGPP and Florida Institute of Technology; CARISMA, PI Dr. Ian Mann; The MACCS program, PIs Dr. W. J. Hughes and Dr. M. Engebretson as well as the Geomagnetism Unit of the Geological Survey of Canada; The S-RAMP Database, PI Prof. K. Yumoto and Dr. K. Shiokawa; The SPIDR database; Intermagnet; The institutes who maintain the IMAGE magnetometer array; AARI data, PI Prof. Oleg Troshichev; Danish Meteorological Institute, Mr. Ole Rasmussen and Project Scientist Dr. Jurgen Watermann; MAGIC, PI Dr. C. Robert Clauer; GIMA, PI Prof. John Olson; SAMBA, PI Dr. Eftyhia Zesta; 210 Chain, PI K. Yumoto; SAMNET, PI Prof. Farideh Honary; IMAGE, PI Dr. Ari Viljanen; The SuperMAG initiative, PI  Dr. Jesper W. Gjerloev;

**Notes:**
Image is DE from 81 286 1616 UT.  UV 132nm wavelength.

## Motivation

- The data set provided by the ground magnetometer community is truly unique since it provides a nearly global and continuous measurement of a fundamental parameter– the ground level magnetic field perturbations.  SuperMAG will lead to a new level of utilization of this data set.
- Ground based magnetometers provide:
-    a high quality dataset;
-    decades of data;
-    continuous coverage in time;
-    nearly global coverage.
- Unfortunately global studies using the various data sources are complicated since:
-    data are distributed over numerous data-bases;
-    data are stored in different formats;
-    different coordinate systems (often with identical names) are used;
-    different baseline determination techniques are utilized.
- SuperMAG will remove these obstacles by means of a user-friendly web interface that provides data in a common coordinate system, common time resolution and common baseline removal technique.
- The objective of SuperMAG is to provide a tool for the community that will enable studies of the large-scale ionospheric electrodynamics and its coupling to the magnetosphere.

## Motivation

**SuperDARN:**
** **~1005 registered users
-  ~600,000 external web site hits a month
-  ~6400 unique visitors (by IP address) a month
-  ~8000 plots viewed per month
-  >650 requests for digital data since January 2005.
-  >600 published papers
-  >2,000 convection map downloads per month

## Slide 4

## Complications

**Coordinate System**

- What is H, D, Z coordinates?
- SuperMAG uses:
***	******B****=( B****N**** , B****E**** , B****Z**** )*
- where
- 	N-direction is local magnetic north
- 	E-direction is local magnetic east
- 	Z-direction is vertically down
-   No use of IGRF declination;
-   Declination angle is determined by minimum variance analysis;
-   Independent of the actual orientation of the magnetometer axis except the Z-axis which
-         we  must  assume  is  indeed vertical.

## Complications

**Complications**
**Baseline**

## Data Flow

**Data Flow**

| Step | Purpose | File Input | File Output | Coordinates |
| --- | --- | --- | --- | --- |
| 1 | Converts data from station/chain dependent format to yearly binary files with 1-min resolution. | Station data | year_IAGACODE_ini.xdr
year_IAGACODE_ini.png | All types |
| 2 | Clean data for artifacts. | year_IAGACODE_ini.xdr | year_IAGACODE_dat.xdr
year_IAGACODE_dat.png | All types |
| 3 | Rotate into local magnetic coordinate system:
N, E, Z. | year_IAGACODE_dat.xdr | year_IAGACODE_rot.xdr
year_IAGACODE_rot.png
year_IAGACODE_angle.png | N, E, Z |
| 4 | Remove yearly and daily baselines. | year_IAGACODE_rot.xdr | year_IAGACODE_final.xdr
year_IAGACODE_final.png
year_IAGACODE_final.ps | N, E, Z |

## Housekeeping

**Housekeeping**

## SuperMAG Collaborators

| Chain | Have Agreed To Collaborate With SuperMAG | Number of stations |
| --- | --- | --- |
| Intermagnet | Yes | 99 |
| Greenland | Yes | 22 |
| Carisma | Yes | 13 |
| Image | Yes | 27 |
| SAMBA | Yes | 11 |
| SAMNET | Yes | 18 |
| MEASURE | Yes | 10 |
| MACCS | Yes | 13 |
| 210 Chain | Yes | 37 |
| AARI | Yes | 13 |
| USGS | Yes | 14 |
| GIMA | Yes | 8 |

**SuperMAG Collaborators**

## Science

- For example topics of research that can be addressed:
-   Spatiotemporal behavior of the auroral electrojet system under various conditions;
-   How does ionospheric electrodynamics evolve during active times?
-   What is the role of the terminators in the dayside-nightside coupling?
-   Are the convection electrojets truly directly driven?
-   What storm-time dynamics do physics based models predict well and what do they miss?
-   What are the large-scale electrodynamics of magnetic storm time auroral disturbances? Are
-        they different from non-storm substorms?
-   What is the behavior of the large-scale dayside current system as a function of IMF and
-        nightside conditions?
-   Are geomagnetic storms super-positions of intense classical substorms?

**Science**

## Highlights

- The data set provided by the ground magnetometer community is truly unique since it provides a nearly global and continuous measurement of a fundamental parameter – the ground level magnetic field perturbations.  SuperMAG will lead to a new level of utilization of this data set.
- SuperMAG:
-  - is the next logical step for the ground magnetometer community to take in the development
-    of a user friendly data service enabling an understanding as well as monitoring of the global
-    electric current system;
-  - does not compete with any existing data service;
-  - is the first site to provide global coverage of user-friendly data products;
-  - data handling technique and software have been developed;
-  - will be based on the website interface and visualization developed for the SuperDARN site
-    with a record of success.
-  - currently manages >800,000 data files from >200 stations.
- Written collaboration agreements between SuperMAG and organizations have been obtained.

- Supported by NASA LWS02-0000-0084 and NASA SRT02-0000-0081.

## “Final easy to understand data-products can not be more than 3 mouse clicks away from a user”

-   		*Robin Barnes, SuperDARN software engineer*

## Acknowledgements

- For the ground magnetometer data we gratefully acknowledge:
-    Intermagnet;
-    USGS, Dr. Jeffrey J. Love;
-    Danish Meteorological Institute, Mr. Ole Rasmussen and Project Scientist Dr. Jurgen Watermann;
-    CARISMA, PI Dr. Ian Mann;
-    The S-RAMP Database, PI Prof. K. Yumoto and Dr. K. Shiokawa;
-    The SPIDR database;
-    The institutes who maintain the IMAGE magnetometer array;
-    AARI, PI Prof. Oleg Troshichev;
-    The MACCS program, PIs Dr. W. J. Hughes and Dr. M. Engebretson as well as the 	Geomagnetism Unit of the Geological Survey of Canada;
-    GIMA, PI Prof. John Olson;
-    MEASURE, UCLA IGPP and Florida Institute of Technology;
-    MAGIC, PI. Dr. C. Robert Clauer;
-    SAMBA, PI Dr. Eftyhia Zesta;
-    210 Chain, PI K. Yumoto;
-    SAMNET, PI Prof. Farideh Honary;
-    IMAGE, PI Dr. Ari Viljanen;
-    SuperMAG, PI Dr. Jesper W. Gjerloev.

- Supported by NASA LWS02-0000-0084 and NASA SRT02-0000-0081.