"Monthly anomalies" refers to any significant differences or variations that occur compared to the average or expected conditions within a particular month.
Full definition
These include images
of monthly anomaly patterns, and global, regional and local time - series.
Annual numbers are a little more useful than
monthly anomalies for determining long term trends, but are still quite noisy.
There have only been
monthly anomalies greater than 1 °C three times before in recorded history, and those three were all from last year.
The one region with an exceptional anomaly was the Arctic which was much higher than earlier months in 2017 and the 3rd
warmest monthly anomaly for the Arctic after Jan & Feb 2016.
The time series
show monthly anomalies smoothed with a 12 - month running mean, with respect to the 1958 — 1965 base period.
The difference between UAH and RSS global LT
average monthly anomalies for two recent periods since the baseline period (which ended in 1998) shows clearly the annual cycle that results in this extreme UAH trend divergence.
The views seem mildly skeptical, but not outrageous for someone focusing on
monthly anomalies on a regional scale, and who is clearly very interested in various «cycles.»
«The connection between Rs and AOD is further clarified by correlating their five - year smoothed
monthly anomalies at each station, i.e., the month - to - month variability seen in Fig. 10 was filtered out.
s
monthly anomaly time series), we find the number of new high records (14) is well above the expected number (5.6) under the IID null hypothesis for a time series of length 148.
To elaborate on the question at the end of my above comment — among all other considerations and obstacles, how practical would it be to go back over the past 100 + years and
compute monthly anomalies of globally averaged SST using spherical harmonic functions?
Area of the Arctic (upper) and Antarctic (lower) covered by sea - ice, for the period January 1979 to March 2018, shown as
monthly anomalies relative to 1981 - 2010.
Last month, January 2016, had the biggest
monthly anomaly ever recorded at the time, at 1.14 ° C. February destroys that record by a full 0.2 °C.
The satellite temperature anomalies and 3 - year warming trends calculated and plotted using Excel; datasets used to
produce monthly anomalies in an equal - weighted combination of two satellite datasets - RSS and UAH.
Area of the European Arctic covered by sea - ice, for the period January 1979 to December 2017, shown
as monthly anomalies relative to 1981 - 2010.
Six straight months in NASA's analysis have exceeded a 1 degree
Celsius monthly anomaly, something that had not happened a single time before dating to 1880.
NOAA have posted for February with an anomaly of +0.65 ºC, a small drop on January's +0.71 ºC but the
lowest monthly anomaly since February 2014.
Eurasia contributed more to the
positive monthly anomaly than North America did, but it also contributes 62 % of the snow coverage of the Northern Hemisphere during the winter months.
(2) If the heat island profile is that variable because of local microclimate, then it would seem that an unusually persistent «wind snap» towards the fjord for a week or two could easily create a large
apparent monthly anomaly.
Prior to 2015, the highest
monthly anomaly on record for the global oceans was 0.74 °C (1.33 °F) above the 20th century average, occurring just last year in September 2014.
While 2009 showed a slowdown in the rate of annual air temperature increases in the Arctic, the first half of 2010 shows a near record pace
with monthly anomalies of over 4 °C in northern Canada.