To remove this difference in magnitude and focus instead on the patterns of change, the authors scaled the vertical profiles of ocean temperature (area - weighted with respect to each vertical ocean layer) with the global surface
air temperature trend of each period.
Not exact matches
With documented warmer
air temperatures in eastern Canada since the 1970s, there has been a
trend of earlier ice melting and less ice in general, explained Lavery.
They estimate that, across about 60 %
of the global vegetated area, greening has buffered warming by about 14 %; for the remaining areas, which mostly include boreal zones, LAI
trends have amplified the raise in
air temperatures, leading to an additional warming
of about 10 %.
Researchers found an overall warming
trend in
air temperature of 0.023 C (0.041 F) per year, and in water
temperature of 0.028 C (0.050 F) per year over 51 years.
This is the rise in
air temperature expected by the year 2040, if current
trends in the use
of fossil fuels and forest - burning continue.
Despite the strong warming
trend of the past 15 years, worldwide
temperatures have risen less than models predict, given the build - up
of carbon dioxide in the
air to 25 per cent above pre-industrial levels.
Complementary information to the Arctic warming analysis would be using DWT's
of the few left Upper
Air stations in the Circumpolar zone and crunch up
temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.
I am very cuious if you found a variance between Upper
Air and Surface warming... I calculated total amospheric refraction
temperatures, ie from data extracted by analyzing optical effects, some
of my results show an impressive yearly warming
trend, much stronger than the surface based one.
Figure 4 - Spatial variability
of the sea surface
temperature (SST)
trends scaled with the global surface
air temperature (SAT)
trend for each simulation used in the study.
This animation shows how the same
temperature data (green) that is used to determine the long - term global surface
air warming
trend of 0.16 °C per decade (red) can be used inappropriately to «cherrypick» short time periods that show a cooling
trend simply because the endpoints are carefully chosen and the
trend is dominated by short - term noise in the data (blue steps).
A compilation
of surface measurements
of downward longwave radiation from 1973 to 2008 find an increasing
trend of more longwave radiation returning to earth, attributed to increases in
air temperature, humidity and atmospheric carbon dioxide (Wang 2009).
Back in 2008, a cottage industry sprang up to assess what impact the Thompson et al related changes would make on the surface
air temperature anomalies and
trends — with estimates ranging from complete abandonment
of the main IPCC finding on attribution to, well, not very much.
411 SG Bolstrom, I am observing a particular
trend unlike the recent past, whereas the Arctic
air profiles are leaning more adiabatically during winter, this means a whole lot of confusion with respect to temperature trends, namely the high Upper Air should cool as the surface warms, and the reverse, the Upper air warms when heat from the lower atmosphere is transferred upwar
air profiles are leaning more adiabatically during winter, this means a whole lot
of confusion with respect to
temperature trends, namely the high Upper
Air should cool as the surface warms, and the reverse, the Upper air warms when heat from the lower atmosphere is transferred upwar
Air should cool as the surface warms, and the reverse, the Upper
air warms when heat from the lower atmosphere is transferred upwar
air warms when heat from the lower atmosphere is transferred upwards.
Complementary information to the Arctic warming analysis would be using DWT's
of the few left Upper
Air stations in the Circumpolar zone and crunch up
temperature trends of the entire atmosphere, when variances from year to year are very small, but are mostly for the warmer.
For a long time now climatologists have been tracking the global average
air temperature as a measure
of planetary climate variability and
trends, even though this metric reflects just a tiny fraction
of Earth's net energy or heat content.
The aspect
of the paper that has attracted the most attention is the claim that the retreat
of the Kilimanjaro summit glaciers can be explained by precipitation reduction, without any compelling need to invoke a warming
trend in local
air temperature.
There is a difference between peaks and valleys in noisy processes (1998 surface
air temperature, 2007 record minimum ice, or shipping at a few small areas on the edges
of the Arctic ocean) and CO2 forcing driven
trends, especially when different measures.
Even if you restrict the definition
of «hiatus» to
air temperatures, there are few datasets that actually demonstrate a
trend of 0 since circa 2000.
The rate and magnitude
of 20th century warming are thus unknowable, and suggestions
of an unprecedented
trend in 20th century global
air temperature are unsustainable.
«We show that the climate over the 21st century can and likely will produce periods
of a decade or two where the globally averaged surface
air temperature shows no
trend or even slight cooling in the presence
of longer - term warming,» the paper says, adding that, «It is easy to «cherry pick» a period to reinforce a point
of view.»
[1] Controversy has persisted over the influence
of urban warming on reported large - scale surface -
air temperature trends.
I am very cuious if you found a variance between Upper
Air and Surface warming... I calculated total amospheric refraction
temperatures, ie from data extracted by analyzing optical effects, some
of my results show an impressive yearly warming
trend, much stronger than the surface based one.
Re 9 wili — I know
of a paper suggesting, as I recall, that enhanced «backradiation» (downward radiation reaching the surface emitted by the
air / clouds) contributed more to Arctic amplification specifically in the cold part
of the year (just to be clear, backradiation should generally increase with any warming (aside from greenhouse feedbacks) and more so with a warming due to an increase in the greenhouse effect (including feedbacks like water vapor and, if positive, clouds, though regional changes in water vapor and clouds can go against the global
trend); otherwise it was always my understanding that the albedo feedback was key (while sea ice decreases so far have been more a summer phenomenon (when it would be warmer to begin with), the heat capacity
of the sea prevents much
temperature response, but there is a greater build up
of heat from the albedo feedback, and this is released in the cold part
of the year when ice forms later or would have formed or would have been thicker; the seasonal effect
of reduced winter snow cover decreasing at those latitudes which still recieve sunlight in the winter would not be so delayed).
But as the above links show, the
air temperature data
trend seems to conflict with the permafrost
temperature trend for much
of Alaska.
One simply can not do arithmetic (least squares
trends) on the
temperature of environmental
air and expect the result to reflect the changes in heat content.
For example: Comparison
of trends and low - frequency variability in CRU, ERA - 40, and NCEP / NCAR analyses
of surface
air temperature, Simmons et al, JGR 2004
And yet, when you do
trends of global data you are averaging
air temperatures over intervals where the heat content is not continuous, and thus the
trend that is the average
temperature does not show the actual
trend of the heat content.
Kevin Trenberth is now arguing that the reason observed
air temperature trends don't match modeled
trends is because
of «missing heat» in the oceans.
Although the rate
of warming
of surface
air and lower troposphere
temperatures appear to have slowed over the past few years, the same could be said at any virtually any point in time by cherrypicking short - term noise and ignoring the long - term
trend (Figure 2).
Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination
of three methods: 1) a qualitative heuristic method based on observed end -
of - winter arctic ice thicknesses and extents, as well as an examination
of Surface
Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and
trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination
of methods: 1) a qualitative heuristic method based on observed end -
of - winter Arctic ice thickness extents, as well as winter Surface
Air Temperature, Sea Level Pressure and vector wind anomaly patterns and
trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
«Surface
air temperature alone is inadequate to monitor
trends of surface heating and cooling.
Arbetter, 4.7, Statistical A statistical model using regional observations
of sea ice area and global NCEP
air temperature, sea level pressure, and freezing degree day estimates continues the
trend of projecting below - average summer sea ice conditions for the Arctic.
Have a look here for a more realistic attribution
of the 20th century
temperature trends based on more than just hot
air.
Animation 1 compares the GISS land surface
air temperature trends to UAH lower troposphere
temperature trends over land for the period
of 1979 to 2012.
I've been looking at the Hansen material which involves tropical oceans and have had occasion to review some
of the
temperature data sets, including Agudelho and Curry, which is an interesting and useful comparison
of satellite and surface
trends — a topic in the
air from the US CCSP report.
Snowfall varies across the region, comprising less than 10 %
of total precipitation in the south, to more than half in the north, with as much as two inches
of water available in the snowpack at the beginning
of spring melt in the northern reaches
of the river basins.81 When this amount
of snowmelt is combined with heavy rainfall, the resulting flooding can be widespread and catastrophic (see «Cedar Rapids: A Tale
of Vulnerability and Response»).82 Historical observations indicate declines in the frequency
of high magnitude snowfall years over much
of the Midwest, 83 but an increase in lake effect snowfall.61 These divergent
trends and their inverse relationships with
air temperatures make overall projections
of regional impacts
of the associated snowmelt extremely difficult.
There has been no material
trend in surface
air temperature during the last 10 years when taken in isolation, but 13
of the 14 warmest years on record have occurred since 1995.
These issues, which are either not recognized at all in the assessments or are understated, include: - the identification
of a warm bias in nighttime minimum
temperatures - poor siting
of the instrumentation to measure
temperatures - the influence
of trends in surface
air water vapor content on
temperature trends - the quantification
of uncertainties in the homogenization
of surface
temperature data, and the influence
of land use / land cover change on surface
temperature trends.
The scenarios that scientists are looking at depend on measurements
of air and water
temperatures taken at hundreds
of sites around the world, as well as complex models about how
trends will evolve in the coming decades.
Surface warming: «Global
temperature evolution: recent
trends and some pitfalls» «Coverage bias in the HadCRUT4
temperature series and its impact on recent
temperature trends» «Recently amplified arctic warming has contributed to a continual global warming
trend» «On the definition and identifiability
of the alleged «hiatus» in global warming» «Global land - surface
air temperature change based on the new CMA GLSAT dataset»
For example, let's say that evidence convinced me (in a way that I wasn't convinced previously) that all recent changes in land surface
temperatures and sea surface
temperatures and atmospheric
temperatures and deep sea
temperatures and sea ice extent and sea ice volume and sea ice density and moisture content in the
air and cloud coverage and rainfall and measures
of extreme weather were all directly tied to internal natural variability, and that I can now see that as the result
of a statistical modeling
of the
trends as associated with natural phenomena.
It is that whilst there is ice to melt,
temperature of either
air or water in that region will NOT show any particular
trend.
· Sakaguchi, K., X. Zeng, and M. A. Brunke (2012), The hindcast skill
of the CMIP ensembles for the surface
air temperature trend, J. Geophys.
The changes produced a decrease
of 0.006 °C / decade for the 1880 to 2014
trend of the annual mean land surface
air temperature rather than the 0.003 °C / decade increase reported by NCEI.
To further quantify this effect, whether or not my reasoning is objected too, then at the very least, a correlation over the period
of the
air temperature trend needs to be carried out against surface sea
temperature anomalies in both the Northern Atlantic and N Pacific.
Surface measurements
of downward longwave radiation A compilation
of surface measurements
of downward longwave radiation from 1973 to 2008 find an increasing
trend of more longwave radiation returning to earth, attributed to increases in
air temperature, humidity and atmospheric carbon dioxide (Wang 2009).
For the US MIDWEST, the
air masses from the Pacific first have to pass more than a thousand kilometres
of mountains and thus the
temperature trends in the US Midwest have unusually little noise from ocean
air temperature trends.
In Fig 22 you state that «
air masses from the Pacific first have to pass more than a thousand kilometres
of mountains and thus the
temperature trends in the US Midwest have unusually little noise from ocean
air temperature trends.»
Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination
of three methods: 1) a qualitative heuristic method based on observed end -
of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination
of Surface
Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and
trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictors.