I think it's important to stress, as I did in my first comment, that the recent trend isn't statistically significantly different from the older trend even when
using the unadjusted data.
From January 2000, NASA were mistakenly
using unadjusted data.
By comparison, the National Education Association,
using unadjusted data, ranked California 43rd in spending in 2010 - 11 but in the 30s in other years.
For GHCNV3 data, for example, Berkeley
uses the unadjusted data as opposed to the adjusted data than both CRU and GISS use.
Not exact matches
We
used contingency tables and chi - square analysis to examine
unadjusted associations between independent variables and the risk of delayed OL and organized the
data into 6 dimensions: 1) maternal prenatal characteristics, 2) maternal anthropometric characteristics, 3) labor and delivery experience, 4) newborn characteristics, 5) maternal postpartum factors, and 6) infant feeding and related variables (Table 1).
One such method requires frequency counts in each exposure group and assumes that adjusted relative risks are similar to
unadjusted ones.88 However, frequency
data were not reported for many studies, and it is essential to
use age adjusted relative risks because age is an important confounder for cardiovascular disease; and ideally other known confounders should also be accounted for.
The difference is that the 10 month simple moving average for the
data below is calculated
using unadjusted historical price
data.
Nothing to celebrate here... it simply underscores his ignorance of the field, as it has been known for years now that slicing and dicing the
data many different ways, or
using unadjusted vs. adjusted
data (as he discusses), has virtually no effect on the trend.
Our work indicates that analysis of global land temperature trends is robust to a range of station selections and to the
use of adjusted or
unadjusted data.
Of course, the agreement between the adjusted LOTI
data and the
unadjusted KOE
data in Figure 13 is based solely on the lags and scaling factors I
used.
A comparison of HadSST2 with the NCDC temperature
data, and of the
unadjusted HadSST3 (i.e. without the new bias corrections) with NCDC
using only common coverage ocean cells is shown in right panel of Figure 2.
Additionally,
unadjusted GRACE gravity
data has suggested no lost ice mass and all estimates of ice gains or loss depend on which Glacial Isostatic Adjustments modelers choose to
use.
If instead of USHCN you
use unadjusted GHCN daily
data or
unadjusted FSOD
data, you get the same result as
using USHCN.
A priority system is
used to ensure that we
use daily
data before monthly
data and
unadjusted data before adjusted
data.
Stick a thermometer in for temperatures,
use the old
unadjusted data and make the models available so programing errors can be removed.
While I
used adjusted global mean
data for the plot above,
unadjusted global mean
data shows essentially the same thing — an increasing trend, contrary to your claim above.
This allows you to construct your own version of the temperature record,
using either adjusted or
unadjusted data for both the land and sea surface temperatures.
on «Given the large and suspect adjustments that Hadley makes to the ICOADS
data to create HadSST, do you know why BEST
used the HadSST
data set, versus applying its own processing to
unadjusted ICOADS source SST
data?»
Just to be absolutely sure, we can do a further calculation
using just rural
unadjusted data (
using the GHCN station classifications)- the blue line.
Many places refuse to turn over climate
data, BEST adjusted and cherry picked much of the
data they
used, Coastal areas appear to be heavily effected by coastal winds that are likely very very poorly documented, Non-coastal wind effected areas seem to have little to no warming, «Free» / online
unadjusted data appears to be mostly at or near satellite
data start thus provides little extra info about the past, Looking for help from anyone who has Europe based original
data outside of the «taxpayer funded yet refuse to turn over
data to the public / taxpayer groups».
Unlike the
unadjusted and TOB
data, the adjusted
data is serially complete, with missing monthly averages estimated through the
use of
data from neighboring stations.
If you
use the raw
unadjusted surface temperature
data and make your own temperature product it would hug the high end uncertainty side.
You compared GISTEMP to
unadjusted data and found them,
using your words, «in good agreement.»