The climate is steady and hot, with an average
yearly temperature of 28º C (82º F).
Climate: One of the nicest things about visiting Belize it is sub-tropical with an average
yearly temperature of 84 ° F (29 °C), it's always warm, yet comfortable.
At approximately 1400 meters above sea level, Monteverde is cold, with an average
yearly temperature of 18 degrees Celsius / 64.4 degrees Fahrenheit
Not exact matches
«As average
temperatures and
yearly hours
of sunshine decrease and latitude increases, rates
of alcohol - attributable cirrhosis increase.
Even with a long - term background trend
of rising
temperatures, other climate factors contribute to
yearly ups and downs.
These
yearly rings change with
temperature and rainfall, so they could read past weather by calibrating ring widths
of living trees with instrumental data from 1959 - 2009, then comparing these with the innards
of much older trees.
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.
Also, most
of the ice on Greenland and Antarctica is located in areas where the
yearly average
temperature is already significantly below 0C — many areas multiple 10s
of degrees below 0C.
The area enjoys comfortable
temperatures all year round and can expect a
yearly average
of 300 sunny days with fresh Atlantic breezes taming the heat
of high summer.
Step off the plane and feel the warm embrace
of Kauai with average
yearly temperatures ranging between 84 and 69 degrees.
Water
temperature varies little with a
yearly average
of 24oC (76 F).
The southernmost town
of Europe, with an average
temperature of 20,1 °C, few rainfalls (average 440 mm
of rain
yearly) and a
temperature that rarely dropping below 12 °C.
It has average
yearly coastal
temperature of around 24C during the day and 14C at night - time.
The second (much simpler) step is: for each bucket, compute the smoothed absolute CO2 concentration for each year (by doing a running sum
of the buckets), and feed each
yearly smoothed absolute concentration to the instantaneous equation: log (ppmCO2) / log (2) * 3, yielding
temperature increase relative to baseline for that year.
«The 2 \ sigma uncertainty in the global mean anomaly on a
yearly basis are (with the current network
of stations) is around 0.1 ºC in contrast that to the estimated uncertainty in the absolute
temperature of about 0.5 ºC (Jones et al, 1999).»
The 2 uncertainty in the global mean anomaly on a
yearly basis are (with the current network
of stations) is around 0.1 ºC in contrast that to the estimated uncertainty in the absolute
temperature of about 0.5 ºC (Jones et al, 1999).
Yearly low
temperature plots at Green Bay WI and Park Rapids MN exhibit increases
of 5 to 11 deg F from the early 1900s to 2008 — as shown on data plots (link in # 193), from 10 year moving averages.
Since many
of these processes result in non-symmetric time, location and
temperature dependant feedbacks (eg water vapor, clouds, CO2 washout, condensation, ice formation, radiative and convective heat transfer etc) then how can a model that uses
yearly average values for the forcings accurately reflect the results?
It isn't beyond the range
of daily
temperature fluctuations and
yearly averages too.
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.
Comparing the
yearly and estimated
temperature, gives us a long term
temperature trend upward
of about 0.3 deg.
So over a period
of 138 years, the increase in the
YEARLY AVERAGE
of the
temperature of the ENTIRE EARTH is 0.8 degrees.
Moreover, the «constant» occupies about 2 / 3rd
of the
yearly increase
of CO2 in average, thus
temperature is only responsible for 1 / 3rd
of the increase, the rest anyway is from the emissions (or one need even more sink).
Incidentally, If we take the average
of UAH and RSS on a monthly basis, then calculate the average
yearly temperature,...
As the real science dictates, by the end
of the next 20 years the
yearly CO2 reduction
of 76 million plus tonnes will have zero impact on global
temperatures.
Our formula gives near the same variability
of the
temperature / CO2 relationship for
yearly variations, but only a few ppmv increase in CO2, due to the slight (0.6 °C) rise in
temperature over the last century.
It now spends the vast majority
of the money it does have fighting
yearly blazes, with little left over to prepare for warming
temperatures.
--» The expected trend in
temperature does not necessarily rise above the expected level
of yearly variability over the course
of a decade.»
Of course [CO2] will respond to
temperature, but the
yearly increase in the concentration is way too big to be explained by this.
Figure 5.3 shows the linear trends (1955 to 2003)
of zonally averaged
temperature anomalies (0 to 1,500 m) for the World Ocean and individual basins based on
yearly anomaly fields (Levitus et al., 2005a).
I know that the data that is presented on global
temperatures daily, monthly and
yearly, is not raw data; it has had a considerable amount
of processing before it is presented as an average global
temperature.
None
of us are used to dealing in
yearly average
temperatures, and the annual mean
temperature hides the combination
of a cold winter and a hot summer.
It fails to show the type
of variation in
temperature that happens on a
yearly basis, much less the variation that takes place over time.
Doesn't it matter that it's summer (JJA)
temperature for the grid box [65 - 70N, 65 - 70E] from CRUTEM3 that is used in this graph, instead
of yearly temperatures?
And while by eye I could conjecture 86 %
of the one year CO2 rise were
temperature - correlated in any
yearly cycle, clearly there is much greater
temperature variability in the region
of Mauna Loa in a year (~ 5 - 10C) than there has been globally since observations started (~ 0.7 C), so one would only consider Dr. Spencer's claims plausible if the rise in CO2 since 1960 were smaller than the change in a single year by a factor
of ten, rather than larger by an order
of magnitude.
It is instructive to compare these numbers with those characteristic
of a set
of the years during 1979 — 2012 with no or only one major regional extreme event (in terms
of land surface
temperature and land precipitation anomalies) in the NH midlatitudes, from late April / early May to late September / early October, as reported
yearly since 1993 in the World Meteorological Organization statements on the status
of the global climate (see also ref.
The average
yearly temperature in the Florida Keys is 77 F. Thats 22 F difference millions
of people have exposed themselves to by moving and that has never been identified as a health hazard has it?
Given the size
of the
yearly temperature fluctuations, it statistically isn't that rare.
Slide 4 shows a power spectrum
of yearly temperature anomalies, and the inset to that figure in particular looks to show a sudden change in the measurement noise level right at about 1941.
It reminds
of the efforts or lack thereof
of the dendros in using pre-selected samples and then regressing with first TRs for the
yearly temperature and than a combination
of TRs and MXDs for selected months
of the year «$» all without clearly delineating the basic biological processes involved.
The algorithms used to estimate missing
temperatures, create
yearly averages, combine multiple records, etc., may have unintended consequences in terms
of magnifying a trend, but I doubt that they create a trend or reverse a trend.
As an example, my long - term prediction for the
temperature of Colorado Springs is that it will vary within the range
of -40 C to 40C, with daily and
yearly oscillatory components.
Shallow as it is, for me this is vindication after years
of being laughed at and called names for being a «Climate denier» in spite
of citing studies by so many scientists and questioning the constant
yearly trend
of «adjustments» made to the
temperature data NOAA kept posting regularly.
Moreover the recent decline
of the
yearly increments d (CO2) / dt acknowledged by Francey et al (2013)(figure 17 - F) and even by James Hansen who say that the Chinese coal emissions have been immensely beneficial to the plants that are now bigger grow faster and eat more CO2 due to the fertilisation
of the air (references in note 19) cast some doubts on those compartment models with many adjustable parameters, models proved to be blatantly wrong by observations as said very politely by Wang et al.: (Xuhui Wang et al: A two-fold increase
of carbon cycle sensitivity to tropical
temperature variations, Nature, 2014) «Thus, the problems present models have in reproducing the observed response
of the carbon cycle to climate variability on interannual timescales may call into question their ability to predict the future evolution
of the carbon cycle and its feedbacks to climate»
The satellite temps are more sensitive (higher swings) to ENSO and
yearly variation than the surface
temperatures, and the 5 - year average for 1982 (1979 - 1984) is one
of the highest peaks above trend for the UAH record.
The
yearly differences in growth will be
temperature related, and if there is an actual
temperature trend it will be subsumed into the overall growth trend, but IMHO, most
of the ringwidth trend will be biological and geometrical.
Yearly and monthly
temperature records have been breaking regularly, with many
of the records being broken by the biggest margins ever seen.
Likewise, a statistician will not automatically be aware
of the difference between proxies
of low resolution (which may be good at estimating average
temperature on a decadal or even centennial scale) and proxies
of high resolution that are good at estimating
temperature at a
yearly level.
This animation shows the
yearly history
of Earth's
temperature since the modern record began in 1880.
The bar graph below shows two estimates
of yearly average surface
temperature change both derived from ERA - Interim.