Universal Time Prediction using Both Geodetic and Atmospheric Angular Momentum Data

Author(s):  
D. Gambis
1994 ◽  
Vol 99 (B4) ◽  
pp. 6981 ◽  
Author(s):  
A. P. Freedman ◽  
J. A. Steppe ◽  
J. O. Dickey ◽  
T. M. Eubanks ◽  
L.-Y. Sung

1988 ◽  
Vol 128 ◽  
pp. 269-273
Author(s):  
M. Feissel ◽  
D. Gambis ◽  
T. Vesperini

Autoregressive prediction filters are tested on stationarised time series of UT1–TAI and of accumulated values of the duration of the day derived from the axial atmospheric angular momentum.


Nature ◽  
1992 ◽  
Vol 357 (6378) ◽  
pp. 484-488 ◽  
Author(s):  
J. O. Dickey ◽  
S. L. Marcus ◽  
R. Hide

2010 ◽  
Vol 55 (5) ◽  
pp. 217-222
Author(s):  
L. D. Akulenko ◽  
Yu. G. Markov ◽  
V. V. Perepelkin ◽  
I. V. Skorobogatykh

1979 ◽  
Vol 82 ◽  
pp. 61-64 ◽  
Author(s):  
N. S. Sidorenkov

The variations of the atmospheric angular momentum were investigated (Sidorenkov, 1976). Using the climatic cross-sections of the zonal wind, the values of the relative angular momentum of the atmosphere, h, were calculated for each month. The variations of h during the year are shown in Figure 1, where curve 1 illustrates the sum of h for the entire atmosphere, and curves 2 and 3 illustrate h for the atmospheres of the northern and southern hemispheres respectively.


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