One
such monthly time series represents the returns of ten portfolios formed by sorting the universe by each stock's ratio of book equity to market value and splitting them evenly into deciles.
One such
monthly time series splits the universe of equities into three groups representing the top 30 %, middle 40 %, and bottom 30 % of the universe sorted by each stock's book - equity - to - market - value ratio.
(c) The global mean (80 ° N to 80 ° S) radiative signature of upper - tropospheric moistening is given
by monthly time series of combinations of satellite brightness temperature anomalies (°C), relative to the period 1982 to 2004, with the dashed line showing the linear trend of the key brightness temperature in °C per decade.
We are
reporting monthly time series of surface temperature, salinity and density in the North Atlantic subpolar gyre in 1993 — 2017 from hydrographical data collected in particular from thermosalinographs on board selected ships of opportunity.
The time series above was generated by the R armia.sim -LRB--RRB- function, using a mean 0, standard deviation 1, AR (0.64,0,0,0,0,0,0,0,0,0,0,0.35) process, which mimics many different real -
world monthly time series.
I calculated a TLT time series using Spencer's equation as applied directly to the TMT, TP and
TLS monthly time series.
(a) Linear trends in precipitable water (total column water vapour) over the period 1988 to 2004 (% per decade) and (b)
the monthly time series of anomalies, relative to the period shown, over the global ocean with linear trend.
Second merge:
Monthly time series were constructed from daily values with both a version using all values and a version using only non-flagged values.
Matsuura, K., & Willmott, C. J. (2009) «Terrestrial Air Temperature: 1900 - 2010 Gridded
Monthly Time Series (Version 3.01)».
This monthly time series is comprised on end - of - month data for each respective month.