The Japanese group leaves areas without plenty
of temperature stations out of their analysis, so its analysis covers about 85 percent of the globe.
They note that many long -
term temperature stations are now surrounded by larger cities and could contribute to the warming seen in urban stations.
Suppose we have ten
temperature stations in a small warm area, and one station some distance away in a cooler area.
Another interesting outcome from the analysis so far regards the impact
of temperature stations being located near buildings, car parks and other urban sources of heat.
A third focuses on the urban heat island effect and a fourth looks specifically
at temperature stations that have been labeled as problematic by skeptics.
Composed of 450 instrumental records
from temperature stations sheltered from ocean - air / urbanization / adjustment biases throughout the world, a new 20th / 21st century global temperature record introduced previously here very closely aligns with paleoclimate evidence from tree rings, ice cores, fossil pollen and other temperature proxies.
These days, with the multiple independent lines of evidence supporting the current anomoly, people seem to be grasping at straws by focusing on poorly
sited temperature stations.
The framework contains a weighting process that assesses the quality and consistency of a spatial network of
temperature stations as an integral part of the averaging process.
I also personally checked all the BEST reconstructions for every other
other temperature station specifically cited (amongst others Rekyavik, Sulina, de Bilt, Darwin, Rutherford Glen, Tokyo, Hachyiko) and found them all quite reasonable in light of what is known.
Christy did finally note that his paper with Watts is «ongoing» and incomplete, mentioning one of the many fundamental flaws in their preliminary paper - its failure to account for changes in time of day
temperature station readings:
Wasko and Sharma, working with collaborators at the University of Adelaide, analysed data from 1,300 rain gauges and 1,700
temperature stations across Australia to see how air temperature affected the intensity and spatial organisation of storms.
Kevin Cowtan and Robert Way later published an important paper showing that much of the slowed global surface warming was an artifact of poor global
temperature station coverage, mainly in the Arctic.
We carefully studied issues raised by skeptics: biases from urban heating (we duplicated our results using rural data alone), from data selection (prior groups selected fewer than 20 percent of the
available temperature stations; we used virtually 100 percent), from poor station quality (we separately analyzed good stations and poor ones) and from human intervention and data adjustment (our work is completely automated and hands - off).
Without the efforts of Anthony Watts and his team, we would have only a series of anecdotal images of
poor temperature stations, and we would not be able to evaluate the integrity of the data
A dearth of
temperature stations there is one culprit; another is a data - smoothing algorithm that has been improperly tuning down temperatures there.
Moreover, as Cowtan & Way (2013) demonstrated, even the short - term slowing of global surface temperatures was largely an artifact of poor
Arctic temperature station coverage.
Intriguingly, Gavin Schmidt, a lead researcher at NASA's GISS, wrote Anthony Watts that criticism of the quality of these
individual temperature station measurements was irrelevant because GISS climate data does not relay on individual station data, it relies on grid cell data.
Phrases with «temperature stations»