(The average lunar day is about 51 minutes longer than the solar day because of the moons rotation around Earth and this allows scientists to reliably separate the two tides in
long observational records.)
Not exact matches
For a start,
observational records are now roughly five years
longer, and the global temperature increase over this period has been largely consistent with IPCC projections of greenhouse gas — driven warming made in previous reports dating back to 1990.
Indeed, tree - ring chronologies provide much
longer histories than
observational records and corroborate that variability and synchrony have risen over the past hundred years, and to levels that are as high as any observed over the past three centuries, according to the researchers.
Given the short length of the trustworthy oceanic
observational record, particularly in the deep ocean, the ocean response to multi-decadal and
longer natural forcings is virtually unknown.
[Response: True with some moderations: depending on how
long the
observational series are and how many independent parallel observations you make, there is an expected number of
record - events according to the iid - test.
Furthermore, as the length of the
observational series become
longer, the probability of seeing new
record - events diminishes and the expected number of
records gradually declines.
Before jumping to conclusions, there needs to be much better justification of the basic assumption that we just happen to be sitting at a time when GHG forcing is larger than all other potential
long term (
longer than the
observational record) oceanic imbalances.
First, they rely on
long historical
observational records to calculate the statistical relationship, effectively limiting the variables that can be downscaled to temperature and precipitation, and the locations to those stations where these
long records were collected.
«To some extend», because the limited length of the
observational record does not allow any estimate of very rare events, which in contrast can be done by a
long model integration.
While the statistics of 30 - year (or
longer) NAO trends and associated surface climate impacts can not be reliably determined from the short
observational record, we have made use of a simple relationship between the statistics of trends of any length and the statistics of the interannual variability, provided the time series is Gaussian (Thompson et al. 2015).
Scientists don't have good enough
long - term
observational records of tornadoes to tell, if climate change is affecting tornadoes, and climate models don't shed any light on the issue, either.
Finally, unlike precipitation, for which
long and reliable historical
records exist in some parts of the world,
records for other aspects of weather are too short to detect trends or contain
observational biases that render trends meaningless.
The detailed
observational records also pick up
long periods of «similar» weather, such as many weeks of rain or
long periods of drought, which might indicate the jet stream being in a favourable or unfavourable position, or a blocking high etc..
For such empirical forecasts regionally depth - dependent damping rates \ (\ lambda (x, y, z) \) could be derived from the lag - 1 autocorrelation of
long term
observational records of water storage and soil moisture.