To see the problem, look at the different formats for the 5 major global land &
ocean temperature anomaly series: GISS, RSS, Hadley, NOAA, UAH.
Not exact matches
Time
series of
temperature anomaly for all waters warmer than 14 °C show large reductions in interannual to inter-decadal variability and a more spatially uniform upper
ocean warming trend (0.12 Wm − 2 on average) than previous results.
«In the global [land and
ocean]
temperature anomaly data
series of 1880 to 2010, the trend presented an increase of 0.6 oC per Century.
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; 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.
Fig. 2 B and D shows individual dust deposition time
series from the Southern
Ocean and Chinese Loess that may be compared with Antarctic and Greenland
temperature anomalies, respectively (Fig. 2 A and C).