The study
predicts average annual temperatures in New York state will rise by 4 to 9 degrees by 2080 and precipitation will rise by 5 to 15 percent, with most of it in the winter....
Not exact matches
The trees, Glossopteris seed ferns, had
annual growth rings up to 11.38 millimetres thick which show no signs of hard freezes during the growing period or of the extreme
temperatures —
averaging between -30 °C and -40 °C in winter and 0 °C in summer —
predicted by computer (Science, vol 257, p 1675).
With its latest
annual effort at what is known as decadal forecasting, the Met Office is
predicting that global
temperatures will continue to rise from 2016 through 2020, with those years likely falling between 0.5 ° and 1.4 °F (0.28 and 0.77 °C) above the 1981 - 2010
average.
The fact that the observations have a «memory» from month to month (because the ocean is slow to change
temperature) allows us to
predict the
annual mean from the year - to - date
average (which implicitly includes the ENSO effect).
Tamino (29)(Open - Mind, Central England
Temperatures) predicted an up - tick (not a least - squares trend) in surface temperatures of 0.5 degrees centigrade this decade, starting from an annual average of about 1
Temperatures)
predicted an up - tick (not a least - squares trend) in surface
temperatures of 0.5 degrees centigrade this decade, starting from an annual average of about 1
temperatures of 0.5 degrees centigrade this decade, starting from an
annual average of about 10.5 degrees.
There seem to be two answers; either
temperatures are going to rise at an
average annual rate as
predicted by the IPCC and the GCMs, or
temperatures are going to reach a maximum and then decline.
Observed (black) and
predicted (blue) global
average annual surface
temperature difference relative to 1981 - 2010.
Over the last decade or so, the models have not shown an ability to
predict the lack (or very muted) change in the
annual average global surface
temperature trend.
Instead of plotting individual year datapoints for observed
temperatures, plotted 3 - year (36 - month
averages ending in December): this reflects an expectation that models can't
predict accurately every
annual period, but over longer 3 - year periods the model and observation trends should better match.
In the meantime we will continue — I
predict — to suffer the
annual Grand - Guignal circus of
annual averages temperatures — if ever again drought or ENSO pushes the surface
temperature a little higher.
The fact that the observations have a «memory» from month to month (because the ocean is slow to change
temperature) allows us to
predict the
annual mean from the year - to - date
average (which implicitly includes the ENSO effect).
Figure 1: Observed and
predicted global
average annual surface
temperature difference relative to 1971 - 2000.
Scenarios based on recent climate
averages may be more realistic for
predicting the likely 2015
annual temperature.
Could we select a limited number (< 100) of sites not subject to the urban heat effect and invite interested parties to
predict; a) the
annual average temperature at that site and b) the
annual temperature range at that site.