This is approximately twice as much as the average precipitation amount for October in
the climate standard period 1961 - 1990 (DWD, 2002).
Not exact matches
Ironically, in this same thread there is a specific discussion regarding the
standard 30 - year
period for
climate trend analysis.
As I understand «
climate» is a statistical evaluation of weather stats across time, usually across a ~ 30 year
period for ease of comparison and having clear «
standards.»
Albeit accurate, this recent 12 month data for each location should be considered statistically unreliable due to its brevity compared with «
climate normals» that have typical year - to - year weather variations smoothed over
standard periods (commonly 30 years).
So in Chapter 3, drawing on
standard social science content analysis procedures and the measures used by Boykoff, I provide the first reliable and valid data evaluating systematic patterns in mainstream coverage of the reality and causes of
climate change for the key political
period of 2009 and 2010.
The likelihood of occurrence or the fractional area covered by 3 -
standard - deviation hot anomalies, relative to a base
period (1951 — 1980) that was still within the range of Holocene
climate, has increased by more than a factor of ten.
Several people questioned the nature of «
climate» and expressed the (common) confusion of «
climate» with the «
standard period of
climate».
But 30 years was adopted as an arbitrary
standard (i.e. the «classical
period of
climate») in the year of the International Geophysical Year (the IGY was in 1958 and it was thought that 30 years of
climate data had then been amassed).
the prevailing attitudes,
standards, or environmental conditions of a group,
period, or place: a
climate of political unrest.»
As youpoint out, the
standard errors of these parameters will be extremely large and because this is the
period used later for the calibration of the chronology to
climate, the results over the entire chronology will suffer.
I haven't checked whether any such
periods exist, but if they did, the
climate estimates would have correspondingly wide
standard errors so you would be wary of the results in that area.
Heat pumps are going through a
period of innovation including more wide - spread availability of ductless heat pumps, development of cold
climate heat pumps, higher minimum efficiency
standards for heat pumps, and development of gas - fired heat pumps.
These range from simple averaging of regional data and scaling of the resulting series so that its mean and
standard deviation match those of the observed record over some
period of overlap (Jones et al., 1998; Crowley and Lowery, 2000), to complex
climate field reconstruction, where large - scale modes of spatial
climate variability are linked to patterns of variability in the proxy network via a multivariate transfer function that explicitly provides estimates of the spatio - temporal changes in past temperatures, and from which large - scale average temperature changes are derived by averaging the
climate estimates across the required region (Mann et al., 1998; Rutherford et al., 2003, 2005).
Thirty years is considered a
standard baseline
period for weather and
climate, and the satellite record is now long enough to provide a thirty year baseline
period.
[8] I estimate GISS - E2 - R's effective
climate sensitivity applicable to the historical
period as 1.9 °C and its ERF F2xCO2 as 4.5 Wm − 2, implying a
climate feedback parameter of 2.37 Wm − 2 K − 1, based on a
standard Gregory plot regression of (ΔF − ΔN) on ΔT for 35 years following an abrupt quadrupling of CO2 concentration.