TY - GEN
T1 - The TaiWan Ionospheric Model (TWIM) and model prediction using autocorrelation method
AU - Tsai, L. C.
AU - MacAlalad, Ernest P.
AU - Tien, M. H.
AU - Liu, C. H.
N1 - Funding Information:
The authors thank Marian Sabia for her invaluable assistance during animal treatments and processing, Dr. M. G. Cherian (University of Western Ontario, London, Ontario) for helpful discussions, Dr. R. Dhanda and Michael F. Luther for their assistance in statistical evaluation of the data, and Dr. William W. Morgan (University of Texas Health Science Center at San Antonio, San Antonio, Texas) for helpful discussions and critical reading of the manuscript. This publication was made possible by grant CA61335 from the National Cancer Institute, National lnstitutes of Health, to C. A. Walter and grant ES06277 from the National Institute of Environmental Health Science, National lnstitutes of Health, to A. Richardson.
PY - 2013
Y1 - 2013
N2 - A three-dimensional ionospheric electron density (Ne) model (L.-C. Tsai, C. H. Liu, T. Y. Hsiao, and J. Y. Huang, Radio Sci., 44, doi:10.1029/2009RS004154, 2009) has been named the TaiWan Ionospheric Model (TWIM) and constructed from global distributed ionosonde foF2 and foE data and vertical electron density (Ne) profiles retrieved from FormoSat3/COSMIC GPS radio occultation measurements. The TWIM exhibits vertically-fitted α-Chapman-type layers, with distinct F2, F1, E, and D layers, and surface spherical harmonics approaches for the fitted layer parameters including peak density, peak density height, and scale height. These results are useful in investigation of near-Earth space and large-scale N e distribution. This way the continuity of Ne and its derivatives is also maintained for practical schemes for providing reliable radio propagation predictions. The ray-tracing methodology also has potential applicability to ionospheric correction as applied to GPS positioning. However, the ionosonde and RO data are usually collected from several hours to one day after the observations, and the resulting TWIM is not a real-time model. We have developed an autocorrelation method for temporal prediction of model layer characteristics. The fitted TWIM layer parameters are considered as a realization of a periodic process, and the autocorrelation functions and their autocorrelation coefficients are determined from the derived TWIM parameter values over a window of 30 days. On that basis a TWIM prediction model can be obtained and then evaluated by the ionosonde data.
AB - A three-dimensional ionospheric electron density (Ne) model (L.-C. Tsai, C. H. Liu, T. Y. Hsiao, and J. Y. Huang, Radio Sci., 44, doi:10.1029/2009RS004154, 2009) has been named the TaiWan Ionospheric Model (TWIM) and constructed from global distributed ionosonde foF2 and foE data and vertical electron density (Ne) profiles retrieved from FormoSat3/COSMIC GPS radio occultation measurements. The TWIM exhibits vertically-fitted α-Chapman-type layers, with distinct F2, F1, E, and D layers, and surface spherical harmonics approaches for the fitted layer parameters including peak density, peak density height, and scale height. These results are useful in investigation of near-Earth space and large-scale N e distribution. This way the continuity of Ne and its derivatives is also maintained for practical schemes for providing reliable radio propagation predictions. The ray-tracing methodology also has potential applicability to ionospheric correction as applied to GPS positioning. However, the ionosonde and RO data are usually collected from several hours to one day after the observations, and the resulting TWIM is not a real-time model. We have developed an autocorrelation method for temporal prediction of model layer characteristics. The fitted TWIM layer parameters are considered as a realization of a periodic process, and the autocorrelation functions and their autocorrelation coefficients are determined from the derived TWIM parameter values over a window of 30 days. On that basis a TWIM prediction model can be obtained and then evaluated by the ionosonde data.
UR - http://www.scopus.com/inward/record.url?scp=84903479632&partnerID=8YFLogxK
M3 - 會議論文篇章
AN - SCOPUS:84903479632
SN - 9781629939100
T3 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
SP - 4480
EP - 4483
BT - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
PB - Asian Association on Remote Sensing
T2 - 34th Asian Conference on Remote Sensing 2013, ACRS 2013
Y2 - 20 October 2013 through 24 October 2013
ER -