Not exact matches
However, comparison of the global,
annual mean time series of near - surface
temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST
observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
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 2 displays
annual maximum
temperature projections until the end of the century (2100) based on
observations from 1950 to 2005, employing two Representative Concentration Pathways scenarios (RCP4.5, left and RCP 8.5, right)[13].
See the
observations in Roemmich & Gilson (2009)-- The 2004 - 2008 mean and
annual cycle of
temperature, salinity, and steric height in the global ocean from the Argo program.
The scientists, using computer models, compared their results with
observations and concluded that global average
annual temperatures have been lower than they would otherwise have been because of the oscillation.
However, comparison of the global,
annual mean time series of near - surface
temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST
observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2005.
Using a combination of observed and forecast data, scientists from the team at KNMI computed the
annual maximum of 3 - day maximum
temperature (
observations up to July 1, forecasts up to July 5).
They produced a preliminary analysis of the
annual maximum of 3 - day maximum
temperature based on
observations up to July 1 and forecasts up to July 5.
2) The
annual change correlates with the
temperature level, I think even you agreed and the total accumulation over a period of
observation is the sum of the
annual changes or the number of years times the average accumulation, over the period of
observation.
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.
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).
The «updated» version «connected» the
observation annual temperature dots, but omitted the smoothed, decadal curve.]
Divide the
observation period into smaller sub-periods (whichever) and calculate the total CO2 accumulations (or average
annual changes) and average
temperature anomalies for the sub-periods.
We blended surface meteorological
observations, remotely sensed (TRMM and NDVI) data, physiographic indices, and regression techniques to produce gridded maps of
annual mean precipitation and
temperature, as well as parameters for site - specific, daily weather generation for any location in Yemen.
OVERVIEW Before the ARGO floats were deployed, there were so few
temperature and salinity
observations at depths below 700 meters that the NODC does not present ocean heat content data during that period for depths of 0 - 2000 meters on an
annual basis.