Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

It is common practice to evaluate the strength of forecasting methods using collections of
well-studied time series datasets, such as the M3 data. The question is, though, how diverse …

A method is derived for the quantitative analysis of signals that are composed of
superpositions of isolated, time-localized 'events'. Here, these events are taken to be well …

The explosion of time series data in recent years has brought a flourish of new time series
analysis methods, for forecasting, clustering, classification and other tasks. The evaluation of …

Over the last 100 years, boundary layer meteorology grew from the subject of mostly near-
surface observations to a field encompassing diverse atmospheric boundary layers (ABLs) …

Forests cover nearly a third of the Earth's land area and exchange mass, momentum, and
energy with the atmosphere. Most studies of these exchanges, particularly using numerical …

The atmospheric boundary layer is particularly challenging to model in conditions of stable
stratification, which can be associated with intermittent or unsteady turbulence. We develop …

The literature includes a wide variety of definitions or perceptions of non-stationarity. Non-
stationarity can be expressed in terms of turbulence statistics or variability of the forcing of …

The lower nocturnal boundary layer is governed by intermittent turbulence which is thought
to be triggered by sporadic activity of so-called sub-mesoscale motions in a complex way …

Turbulence intermittency driven by submeso motions limits the progress of turbulence
theory. Field observations from the Horqin Atmospheric Boundary‐Layer and Environment …