See my comment on March 20, 2012 at 5:37 am concerning the disconnect
between land temperatures and SST in the «circle».
Not exact matches
Our mushroom farms were in fact established on
land reclaimed from a scrub forest zone never before subjected to cultivation with the major difference
between day and night
temperature necessary for the strongest, healthiest, tastiest fungus.
The Tibetan Plateau in China experiences the strongest monsoon system on Earth, with powerful winds — and accompanying intense rains in the summer months — caused by a complex system of global air circulation patterns and differences in surface
temperatures between land and oceans.
Because monsoons result from the
temperature differences
between land and sea, the yearly monsoon was so weakened that northern Africa and India experienced a devastating drought.
All of these phenomena generate a greater contrast
between land and ocean
temperatures, the cause of the monsoon.
«It gives further evidence of the close links
between atmospheric CO2 and
temperature, but also shows how heterogeneous this climate change may be on
land,» he adds.
The resulting
temperature differences
between land and sea drive monsoons — steady winds that change direction twice a year.
The high October
temperature was driven by warmth across the globe over both the
land and ocean surfaces and was fairly evenly distributed
between the Northern and Southern Hemispheres.
Maps showing the differences in sea surface
temperature and total soil water on
land in the period
between October 2011 and September 2017.
«The simple relationship
between the
temperature and the global
land carbon sink should be treated with caution, and not be used to infer ecological processes and long - term predictions» adds Dr. Reichstein, head of the Department.
The groundbreaking study revealed that, globally, the year - to - year variability of the
land carbon balance — the exchange of carbon that takes place
between the
land biosphere and the atmosphere — responds most significantly to changes in
temperature.
Additionally, because of the robustness of their data, the researchers were able to create a statistical tool to examine the relationship
between air
temperature and
land cover.
Because
land surfaces generally have low heat capacity relative to oceans,
temperature anomalies can vary greatly
between months.
There are some various proposed mechanisms to explain this that involve the surface energy balance (e.g., less coupling
between the ground
temperature and lower air
temperature over
land because of less potential for evaporation), and also lapse rate differences over ocean and
land (see Joshi et al 2008, Climate Dynamics), as well as vegetation or cloud changes.
The «
land of smiles» has a tropical climate with rainy and dry seasons, and many consider the best time to visit
between November and February, when the
temperatures are not too hot, and there is less rainfall than at other times.
Lembongan is a pristine tropical island, its highest point is 50 meters above sea level, little
temperature variation from 30 degrees Celsius occurs
between the only two seasons in a total of 615 ha unproductive rocky
land.
These include that the
land, borehole and marine records substantially agree; and the fact that there is little difference
between the long - term (1880 to 1998) rural (0.70 °C / century) and full set of station
temperature trends (actually less at 0.65 °C / century).
It was not until I started comparing the daily
temperature range
between a Desert (or recently cleared
land) as opposed to a Rain Forest that I found out how important that change in the humidity is.
Given that you comment that the largest differences
between the different forcings is
between land and ocean or
between the Northern and Southern Hemispheres, have you looked at the
land — ocean
temperature difference or the Northern — Southern Hemisphere
temperature difference, as they both scale linearly with ECS, in the same way as global mean
temperature for ghg forcing, but not for aerosol forcing.
An important point is that the
temperature difference
between lower latitudes and the Arctic (at least for
land based) is smaller now than in the 1930 - 1940's.
The AARI data include drifting stations and ice information, although not the majority (my fault to see that as «main»), that means that the difference
between only
land based and total is in warmer sea surface
temperatures.
Indeed, within the 164 years of data it is questionable if any cycle can be convincingly demonstrated
between the NH Ocean &
Land temperatures.
And if you plot the differential
between NH ocean &
land temperature, the warming since 1970 has been indeed higher on
land than at sea, conforming with what should be there with this candidate BNO (P).
Here we would like to try to distinguish
between warming in the nocturnal boundary layer due to a redistribution of heat and warming due to the accumulation of heat... It is likely that the observed warming in minimum
temperature, whether caused by additional greenhouse forcing or
land use changes or other
land surface dynamics, is reflecting a redistribution of heat by turbulence - not an accumulation of heat.
I also think that if one wishes to prove that carbon dioxide in the atmosphere is the cause of global warming then the focus of
temperature measurement should be upon those few feet
between the Earth's surface and the measuring instruments employed on
land for measuring that
temperature.
I went ahead and plotted the normalized (HadCRU + GISS) / 2 --(RSS + UAH) / 2 to show the variance
between satellite and
land - based
temperatures.
«In the southern hemisphere, the increase in wind power depends on the
land - sea thermal gradient, and apparently the stronger emissions scenario (RCP8.5) is needed to make the difference in
temperature and thus pressure
between land and sea strong enough to amplify the winds.»
I assume that included the differential warming of
land to sea, but then the best comparative
temperature change is inexplicably chosen as one somewhere
between land and
land - sea
temperature change.
This is because, in this region, wind power depends on the
temperature difference
between the
land and the sea, and previous research has shown that warming occurs faster on
land than above oceans.
Also consider the realationship
between land and ocean
temperatures.
Similarly, if there is an increase in the difference
between land and ocean
temperatures, the rising air over
land draws in moist air from the ocean and lifts it, leading to monsoons.
The very strong correlation
between observed dryness and high
temperatures over
land in the tropics during summer highlights the important role moisture plays in moderating climate.
By comparing modelled and observed changes in such indices, which include the global mean surface
temperature, the
land - ocean
temperature contrast, the
temperature contrast
between the NH and SH, the mean magnitude of the annual cycle in
temperature over
land and the mean meridional
temperature gradient in the NH mid-latitudes, Braganza et al. (2004) estimate that anthropogenic forcing accounts for almost all of the warming observed
between 1946 and 1995 whereas warming
between 1896 and 1945 is explained by a combination of anthropogenic and natural forcing and internal variability.
Therefore, the best
temperature observation for comparison with climate models probably falls
between the meteorological station surface air analysis and the
land — ocean
temperature index.
ΔT is the atmospheric
temperature difference
between land and ocean.
Kevin Cowtan appears to have discovered that «modeled» «surface»
temperature isn't comparable to the «observed» «surface»
temperature since the «observed» is a combination of
land based (Tmax + Tmin) / 2 and SST measured somewhere
between the surface and a few meters below the surface.
Figure 1 shows the change in the world's air
temperature averaged over all the
land and ocean
between 1975 and 2008.
Landward zonal wind versus
temperature difference
between land and ocean during monsoon season [NCEP / NCAR reanalysis data (35)-RSB-.
One factor in monsoon formation is the difference
between the
temperature above
land and the
temperature above adjacent ocean or sea.
However, the critical threshold R C is independent of ɛ, and thus the calculation depends only on relatively robust averaged values of precipitation, net radiation, average
temperature difference
between land and ocean, specific humidity over ocean, and the natural constants ρ, L, and C p.
The main dynamical driver of the monsoon is therefore the positive moisture - advection feedback (Fig. 1 A): The release of latent heat from precipitation over
land adds to the
temperature difference
between land and ocean, thus driving stronger winds from ocean to
land and increasing in this way landward advection of moisture, which leads to enhanced precipitation and associated release of latent heat.
The meeting will mainly cover the following themes, but can include other topics related to understanding and modelling the atmosphere: ● Surface drag and momentum transport: orographic drag, convective momentum transport ● Processes relevant for polar prediction: stable boundary layers, mixed - phase clouds ● Shallow and deep convection: stochasticity, scale - awareness, organization, grey zone issues ● Clouds and circulation feedbacks: boundary - layer clouds, CFMIP, cirrus ● Microphysics and aerosol - cloud interactions: microphysical observations, parameterization, process studies on aerosol - cloud interactions ● Radiation: circulation coupling; interaction
between radiation and clouds ●
Land - atmosphere interactions: Role of land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model develop
Land - atmosphere interactions: Role of
land processes (snow, soil moisture, soil temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model develop
land processes (snow, soil moisture, soil
temperature, and vegetation) in sub-seasonal to seasonal (S2S) prediction ● Physics - dynamics coupling: numerical methods, scale - separation and grey - zone, thermodynamic consistency ● Next generation model development: the challenge of exascale, dynamical core developments, regional refinement, super-parametrization ● High Impact and Extreme Weather: role of convective scale models; ensembles; relevant challenges for model development
There is concern in the scientific community that the
temperature change from now to the end of the century will be roughly the same as the difference
between now and the last Ice Age, which occurred 10,000 years ago, resulting in dramatic changes in
temperature, weather patterns, water tables,
land and biodiversity.
According to NOAA's 2016 Arctic Report Card, the average annual surface air
temperature anomaly (+3.6 °F / 2.0 °C relative to the 1981 - 2010 baseline) over
land north of 60 ° N
between October 2015 and September 2016 was by far the highest in the observational record beginning in 1900.
If CO2 accumulation stays at the current rate of 2 to 3 PPM per year, in 40 years the atmosphere would be
between 480 PPM to 520 PPM, which is near where the predicted mean
land temperature anomaly would double the current level of 1.2 C.
Looking at the CO2 versus
land temperature trend, if the anomaly remains at
between 0.8 to 1C for the next several years, it would still give a 3C sensitivity for CO2 doubling.
The
temperature difference of the
land and upper 100 m of the ocean,
between summer afternoons and winter nights is more than an order of magnitude than any proclaimed, creeping, heating process.
Why glaciers in Franz Josef
Land have been shrinking more rapidly
between 2011 and 2015 than in previous decades is possibly related to ocean
temperature changes.»
This factor, when multiplied times the amount of reduction in tropospheric aerosol emissions,
between 1975 and another later year will give the average global
temperature for that year (per NASA's J - D
land - ocean
temperature index values) to within less than a tenth of a degree C. of actuality (when temporary natural variations due to El Nino's, La Nina's, and volcanic eruptions are accounted for).
With
land stations we have the option of using only
temperature changes
between measurements from the same station and disregarding by some procedure stations that are particularly suspect.