Validation and Characterization of Ionospheric Densities Measured by DMSP

Future models of the thermosphere-ionosphere-magnetosphere system will require near real-time assimilation of ionospheric parameters to specify% and forecast these regions One of the current sensors that will be used in the GAIM model is the DMSP SSIES. Knowledge of the SSIES's reliability and...

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Bibliographic Details
Main Author: Keyser, Herbert L.
Other Authors: AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH
Format: Text
Language:English
Published: 2001
Subjects:
Atmospheric Physics
Meteorology
*IONOSPHERE
*DENSITY
*METEOROLOGICAL SATELLITES
MEASUREMENT
AUTOMATION
DETECTORS
VALIDATION
REAL TIME
PARAMETERS
RELIABILITY
ASSIMILATION
MASSACHUSETTS
OBSERVATORIES
GREENLAND
ISR(INCOHERENT SCATTER RADAR)
SSIES
GAIM(GLOBAL ASSIMILATION OF IONOSPHERIC MEASUREMENTS)
CEDAR(COUPLING ENERGETICS AND DYNAMICS OF ATMOSPHERIC REGIONS)
DMSP(DEFENSE METEOROLOGICAL SATELLITE PROGRAM)
Greenland
Online Access:http://www.dtic.mil/docs/citations/ADA392481
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA392481
Description
Summary:Future models of the thermosphere-ionosphere-magnetosphere system will require near real-time assimilation of ionospheric parameters to specify% and forecast these regions One of the current sensors that will be used in the GAIM model is the DMSP SSIES. Knowledge of the SSIES's reliability and data characteristics is key to using the data when relying on automated processes to ingest the data. To validate the DMSP value, the DMSP-measured density is compared to ground-based ISR measurements from solar minimum to solar maximum. The DMSP data are compared to data from the ISRs located at the Millstone Hill Observatory in Massachusetts and Sondrestrom in Greenland. The DMSP was found to measure densities 10 percent - 20 percent lower than Millstone Hill and 90 percent lower then Sondrestrom, however both were within the uncertainties of the ISR measurements. The DMSP data over Millstone Hill were analyzed for variability. After de trending the data, the variability was found to range from 0.2 percent in geomagnetically quiescent periods to over 20 percent during active periods.

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