Results
1. The Short-Term Variation in UT1
The data presented in fig. 1 show that the difference between UT1 and TAI changed by -37 s in the 59 years from 1958 to 2017, and that this difference has been applied to UTC by the leap second process. If this long-term trend in the evolution of UT1-TAI were to continue for 41 more years, the difference between UT1 and TAI would be predicted to be about -63 s a century (-0.63 s/yr) after 1958. The ITU and BIPM resolutions would both have been satisfied by having made no leap-second adjustments to UTC from 1958 to 2024 and continuing to do nothing until 2058. If this trend were to continue after 2058, then the difference between UT1 and UTC would increase by about one minute per century. If the maximum tolerance was set to 100 s to conform to the ITU resolution, then this extrapolation would predict that a leap event would occur approximately every 160 years, and the next leap event would be in the year 2176 (2016 + 160).
This extrapolation has very significant uncertainties because the rate of change of UT1-TAI varies. The yellow line in fig. 1 shows that the rate was about -1.0 s/year for the years immediately after 1972, and fig. 2 shows that the rate was much smaller following 2016, and that it changed sign in about 2020. (The change in sign is what has prompted the concern for the possibility that a negative leap second would be needed in the future.) This variability in the rate of UT1-TAI introduces significant uncertainties into any extrapolation based on the relatively short data span from 1958 to 2024. It is important to examine the longer-term variation in the length of the day to construct an adjustment process that is algorithmic in the long term and is not sensitive to these short-term variations. This proposed solution is designed to address a weakness with the current adjust process that the interval between adjustments is irregular and unpredictable.
2. The Long-Term Variation in UT1
There are three aspects to this longer-term variation: (1) a steady deceleration, (2) random fluctuations, and (3) periodic effects. [
16]. Studies by Stephenson and Morrison [
17,
18] imply an average rate of increase in the length of the day of 1.7 ms/cy. This increase in the length of the day includes an increase due to tidal friction of about 2.3 ms/cy and a decrease of -0.6 ms/cy due to the change in the moment of inertia of Earth. The periodic effects have a peak-to-peak amplitude of order 60 ms, [
18] and are not large enough to be important in this discussion because they do not affect the long-term variation.
There is significant variability in the estimates of the long-term increase in the length of the day because the irregular variations are large and last for many years and a simple linear fit to the data does not capture them. However, the estimates all agree that the long-term length of the day has been increasing for centuries, and there is no reason to assume that this long-term behavior will change.
Figure 4 shows the variation in the length of the day over the last 4 centuries. [
17].
The red line shows the effect of the Stephenson and Morrison rate of 1.7 ms/cy; the green line shows a constant slope of 0.76 (±0.1, 1 σ) ms/cy, which is more consistent with the data in a least-squares sense. However, there are deviations from this smaller constant rate that limit the accuracy and reliability of long-term predictions, and account for the variation in the different estimates of the long-term rate of change. Although the different linear models of the length of the day vary somewhat, all of them agree that the length of the UT1 day was 86 400 s in about 1830 (± 10 years) and that the UT1 day in 2022 was significantly longer by at least 1 ms.
The constant increase in the length of the day implies a quadratic variation in the UT1 time relative to a uniform time scale. Stephenson and Morrison [17, p.188] show that the variation in the UT1 time scale over the last 2700 years can be expressed by
where the drift, R, is 31 s/cy2 and the elapsed time, T, is in centuries from 1820. The time difference, ΔT, is in s. They caution that no single quadratic expression can satisfactorily represent both modern and historical data. [16, also, fig. 1 and fig. 2 of 19].
For example, eq. 1 predicts that the difference between UT1 and atomic time would have been 39.036 s in 1958, the origin epoch of TAI, whereas the actual value was 32.184 s, which suggests a smaller average long-term rate of about 27 s/cy2. If we use R=31 s/cy2, Eq. 1 predicts that the difference between UT1 and atomic time would have increased by about 60 s from 1958 to the end of 2016, when the most recent leap second was added, but the actual increase was only 37 s. From eq. 1, the observed increase of 69 s (32 s + 37 s) from 1820 to 2017 is consistent with an even smaller average rate, R, of about 23 s/cy2. If we include the 7 years from 2017 to 2024 in the previous calculation, then the long-term rate is closer to 21 s/cy2. The much smaller estimate of the long-term rate results from including the very much smaller variation in UT1-TAI since 2017, which may be an anomalous event and may not indicate a change in the long-term rate.
Other analyses also conclude that the Stephen and Morrison value of 1.7 ms/cy
2 is too large. For example, McCarthy and Babcock [
19] estimate that the increase in the length of the day is 0.73 ms/cy, which is in good agreement with the simple least-squares fit to the data in fig. 4 discussed above. Maeder and Gueorguiv [
20] estimate at rate of 1.09 ms/cy based on observations of lunar occultations. They also present the rate estimates based on various other methods [20, table 2] The smaller estimate of McCarthy and Babcock gives a value of R of about 13 s/cy
2 [19, eq. 11] which is somewhat smaller than the value estimated above based on contemporary data. Although the magnitudes of the various estimates are different, all of them agree that the long-term variation in the length of the day is positive, and there is no suggestion that the long-term rate will change sign, with the caution that deviations from the long-term rate are not rare and often persist for many years.
The differences in the different predictions of the evolution of UT1-UTC over a century are of order tens of seconds, which are much smaller than the proposed maximum tolerance of at least 100 s mentioned in the ITU resolution. Therefore, the actual rate used in the following discussion is arbitrary and is likely to disagree with the actual evolution of UT1-UTC over the next century.
If we arbitrarily assume that the long-term variation in UT1 given by eq. 1 will continue with R = 23 s/cy2, then eq. 1 predicts that the difference between UT1 and TAI will be about -160 s in 2100 and -312 s in 2200 relative to 1820, with the cautions that other analyses suggest that this rate is too large, and that the stochastic variations in the length of the day are significant and may persist for many years. Therefore, these estimates have significant uncertainties. For example, the decrease in the length of the day of about 2ms, which was not consistent with the long-period variation, and which persisted for about 30 years (purple line, fig. 4) changed UT1-TAI by about -0.002 s × 365.25 ×30= -22 s.
In the next sections, a solution is proposed that adjusts UTC relative to TAI to match the predicted long-term evolution of UT1-TAI, with a tolerance between UTC and UT1 that is sufficiently large so that UT1-UTC does not exceed the tolerance even if the length of the UT1 day has variations that are comparable to those that have been observed in the historical record (fig. 4). In addition, the solution addresses other problems with the current leap-second adjustment procedure.
3. Algorithmic Adjustments
A serious deficiency in the current method of adding leap seconds to UTC is that the leap seconds are added at irregular and unpredictable intervals, and this causes many problems that were documented in a previous publication. [
4]
The solution to the unpredictable and irregular interval between leap events is to choose a maximum tolerance for the difference between UT1 and UTC and then implement an algorithmic process that uses regular and predictable adjustments that are a fraction of this maximum tolerance. This hides the unavoidable impossibility of designing an algorithmic process to correct for the irregular and unpredictable variation in UT1- UTC.
The previous discussion predicts that UT1-TAI = -160 s in 2100 (relative to 1820), so that UTC must be adjusted by an additional -91 s (-160 + 69) by that date. Instead of waiting until 2100 to make this adjustment, we could make a smaller adjustment of -13 s every 10 years on 1 January starting in 2035, the date specified in the BIPM resolution. The details are shown in Table 1.

The largest deviations from a constant increase in the length of the day from 1657 to the present was about -2 ms/day in about 1860 and about +2 ms/day in about 1900(Fig. 3). If those rates persisted for 40 years, and if the algorithm were not modified to compensate for them, they would modify the predicted value of UT1-TAI by about ±0.002×365.25×40 = ±30 s. If the maximum tolerance between UT1 and UTC were chosen to be 100 s, and if the algorithmic method were used to adjust UTC, the resulting UTC time scale would differ from the prediction of the long-term quadratic variation (eq. 1) by significantly less than the maximum tolerance of 100 s even if the largest deviation from the linear trend in fig. 4 were to occur and persist for longer than has ever happened.
The algorithmic adjustment principle does not tightly constrain the constant interval between adjustments. Any adjustment process introduces a burden on the timekeeping community, and this burden would be minimized with a long interval between adjustments. On the other hand, the method depends on the assumption that the adjustment is much smaller than the maximum tolerance to maximize the capacity of the tolerance to absorb a change in the length of the day that deviates from the long-term average and persists for an appreciable number of years. This consideration favors a shorter interval between adjustments. Finally, there is a programming advantage to having an adjustment that occurs predictably and algorithmically. For example, in every year with the same least-significant digit. These considerations suggest (but do not uniquely specify) an interval of 10 years, starting from 2035, the year mentioned in the BIPM resolution.
If the algorithmic adjustment process was adopted, the magnitude of the maximum tolerance is not critical since it is very unlikely that the difference between UT1 and UTC would ever reach it. It must only be large enough to absorb the impact of the largest deviation of the rate of evolution of UT1 that has been observed in the historical record without requiring a change to the long-term rate, R for at least a century. Any value larger than 60 s would be adequate in this situation.
The algorithmic method would be modified in 2100 by adjusting the R parameter in eq. 1 to compensate UTC for the predicted evolution of UT1-TAI from 2100 to 2200. The modified adjustment would be based on both the historical data and the additional observations of the length of the day from now until 2100; it would also add a term that would amortize the difference between the algorithmic adjustments that had been applied to UTC between now and 2100 and the actual value of UT1-UTC in 2100.
With no change in the value of R, the discussion above predicts a change of -152 s in the century starting in 2100 relative to 1820, and this prediction would be amortized in ten equal installments of -15 s in 2105, 2115, … 2185, 2195. This calculation is only for illustrative purposes. It is very unlikely that this magnitude would actually be used starting in 2100. The magnitude of each installment would be decided in 2100 based on an updated prediction equation and might also include an additional adjustment to compensate for the difference between the evolution of the difference between UT1 and UTC that is predicted now and what happens to the difference between 2035 and 2100. The magnitude would remain constant for the century.
The algorithmic method would be implemented once; the magnitude of the periodic adjustment might need to be changed once per century, but the algorithm itself would not be altered.
4. The Adjustment Process
The previous discussion presented an algorithmic method for adjusting UTC to maintain a connection between UTC and UT1. There are two additional considerations that will specify when and how the adjustments should be made.
a. The time for a UTC adjustment
The adjustment for a leap second is now at 23:59:59 UTC, which is an awkward time in the Pacific time zone of the US (UTC-8), where it is late in the afternoon and in Asia and Australia, where it is the next morning (UTC + 10). In both cases, the adjustment time can be in the normal business day, which introduces extra complications in the commercial and financial applications that use UTC time stamps. Although there is no perfect way to avoid this problem, scheduling the leap adjustment at 12 UTC on 1 January would be a better alternative, because it is the closest thing to a universal holiday in all time zones, and many financial and commercial users of UTC time stamps are closed on that day.
b. The process of applying the adjustment
The adjustment process should implement the leap event by using an internationally defined and universally adopted adjustment to the rate of advance of the clock rather than a time step [
21], so that UTC is continuous, the time stamps are monotonically increasing, and the time-ordering of events can be unambiguously determined both before, during, and after the leap event. In addition, the adjustment to the rate of advance of UTC should be digitally-defined so that it can be easily removed by a user either in hardware or in software to recover the unmodified time scale. (Compare the adjustment method described in [
22], which does not satisfy this requirement.)
An adjustment to the rate of advance of exactly a factor of 2 is particularly easy to apply and to remove either in hardware or in software, and this method is illustrated in the following text by using timestamps that advance every second. The actual adjustment process would be the same for time stamps that are specified at any resolution.
For example, table 2 shows the details of the adjustment of -13 s that would be used every 10 years from 2035 to 2095 as described in table 1. This table illustrates the adjustment method. The magnitude used at each step would be chosen to amortize the adjustment over an interval twice as long as the adjustment for a positive adjustment.
The discussion in the previous sections concluded that a negative leap adjustment will never be required because of the long-term increase in the length of the day and because the maximum tolerance of the difference between UT1 and UTC will absorb the shorter-term decreases without requiring an explicit adjustment. Nevertheless, it is straightforward to describe the method that would be used to insert a negative adjustment to UTC by an increase in the rate of the advance of the clock by a factor of 2. See Table 3, which also illustrates how a positive leap adjustment could be removed by a user should it be necessary or desirable to do this.
The entries in the tables are tabulated at 1 s intervals, but the actual adjustments could be implemented with a shorter-period signal, such as a period of 200 ns (frequency of 5 MHz). The adjustment method does not constrain the method of implementing it. This input signal would be divided by a factor of 2 for a positive adjustment or multiplied by a factor of 2 for a negative adjustment. These operations could be implemented by using well-known analog or digital methods, and the “ticks” of the modified signal would be used to advance the time.