We decided to group all of NASA's
urbanization adjustments into four different types, depending on the slope of each part:
Overall, NASA GISS»
urbanization adjustments were found to be seriously flawed, unreliable and inadequate.
In this study,
their urbanization adjustment procedure was considered.
Not exact matches
The vast majority of their
adjustments involved correcting for «urban cooling», whereas
urbanization bias is predominantly a warming bias.
The net effect of their
adjustments on their global temperature estimates was unrealistically low, particularly for recent decades, when
urbanization bias is expected to have increased.
Since both types include a «cooling bias»
adjustment, that means that only 15 % of NASA's
adjustments are the expected
adjustments to remove
urbanization bias.
They decided to develop a computer program which would automatically search through the weather station records and apply
adjustments to remove any
urbanization bias.
In addition, because
urbanization bias continues to increase from year to year, this means that they have to keep on increasing their
adjustments every year, meaning that «history is continuously being rewritten».
In our
Urbanization bias III paper, we show that their adjustments are seriously inappropriate for dealing with urbanization bias, and actually end up spreading the urbanization bias into the rural stat
Urbanization bias III paper, we show that their
adjustments are seriously inappropriate for dealing with
urbanization bias, and actually end up spreading the urbanization bias into the rural stat
urbanization bias, and actually end up spreading the
urbanization bias into the rural stat
urbanization bias into the rural station records!
They questioned the reliability of the National Climatic Data Center's homogenization
adjustments, and suggested that a combination of poor station exposure,
urbanization bias and unreliable homogenization
adjustments had led to a spurious doubling of U.S. mean temperature trends over the period 1979 - 2008.
«Peterson and others support the IPCC viewpoint at towns with less than 10,000 populations are towns without the need for
adjustment for
urbanization.
The
adjustment for the UHI effect I see changing over time with
urbanization.
The homogenization
adjustments developed by the National Climatic Data Center to reduce the extent of non-climatic biases in the networks were found to be inadequate, inappropriate and problematic for
urbanization bias.
Climate fears have been exaggerated due to
urbanization and homogenization
adjustments on steroids.
When climate scientists first began homogenizing temperature data, the PDO had yet to be named, so I would like to suggest instead of a deliberate climate science conspiracy, it was their ignorance of the PDO coupled with overwhelming
urbanization effects that caused the unwarranted
adjustments by causing «natural change points» that climate scientists had yet to comprehend.
Charts show the final temperature difference from the baseline period (1950 - 1980) along with
adjustments made based on partial / missing data and
urbanization effect.
The presumption in my mind is that UHI
adjustments would always adjust temperatures lower as
urbanization does not act as a cooling influence on the planet.
I never did understand how anyone could possibly adjust for
urbanization, siting changes, etc without boots on the ground examining each and every station, and
adjustments being made one station at a time.
Still, prior to the satellite - based measurements they were the best proxy for global temperature and if used just to measure trends they could have been a very good proxy if: · Measurements were taken from the same set of global positions each year ·
Adjustments for creeping
urbanization, equipment upgrades and equipment movements were made honestly
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.
The scale of natural disasters has also increased because of deforestation, environmental degradation,
urbanization, and intensified climate variables.20 The distinctive health, behavioral, and psychosocial needs of children subject them to unique risks from these events.21 Extreme weather events place children at risk for injury, 22 loss of or separation from caregivers, 21 exposure to infectious diseases, 23 and a uniquely high risk of mental health consequences, including posttraumatic stress disorder, depression, and
adjustment disorder.24 Disasters can cause irrevocable harm to children through devastation of their homes, schools, and neighborhoods, all of which contribute to their physiologic and cognitive development.25
Valid reasons include
adjustments for changes in the time - of - day of the reading, changes to the instrument's location or type, and
urbanization effects.
Comprised 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.