Not exact matches
Results from a multiregression
analysis of the
global and
sea surface temperature anomalies for the period 1950 — 2011 are presented where among the independent variables multidecade oscillation signals over various oceanic areas are included.
A new
analysis published in the journal Environmental Research Letters establishes that seasonal forecast
sea surface temperature (SSTs) can be used to perform probabilistic extreme - event attribution, thereby accelerating the time it takes climate scientists to understand and quantify the role of
global warming in certain classes of extreme weather events.
In addition, the early data for
sea surface temperatures is not
global, which further limits the usefulness of these data for long period harmonic
analysis.
Uncertainties of estimated trends in
global - and regional - average
sea -
surface temperature due to bias adjustments since the Second World War are found to be larger than uncertainties arising from the choice of
analysis technique, indicating that this is an important source of uncertainty in
analyses of historical
sea -
surface temperatures.
The evolution of
global mean
surface temperatures, zonal means and fields of
sea surface temperatures, land
surface temperatures, precipitation, outgoing longwave radiation, vertically integrated diabatic heating and divergence of atmospheric energy transports, and ocean heat content in the Pacific is documented using correlation and regression
analysis.
Composite
analysis of
global sea surface temperature during unusually wet and dry years also suggests a linkage between reconstructed rainfall and ENSO.
Because the GISS
analysis combines available
sea surface temperature records with meteorological station measurements, we test alternative choices for the ocean data, showing that
global temperature change is sensitive to estimated
temperature change in polar regions where observations are limited.
Global Analysis of
Sea Surface Temperature,
Sea Ice, and Night Marine Air
Temperature Since the Late Nineteenth Century.
John Imbrie used time - series
analysis to statistically compare the timing and cycles in the
sea surface temperature and
global ice volume records with patterns of the Earth's orbit.
Rayner, N. A.; Parker, D. E.; Horton, E. B.; Folland, C. K.; Alexander, L. V.; Rowell, D. P.; Kent, E. C.; Kaplan, A. (2003)
Global analyses of
sea surface temperature,
sea ice, and night marine air
temperature since the late nineteenth century J. Geophys.
He is saying that your
analysis had to do with
global temperature not
sea surface temperature.
These datasets include: NOAA Optimum Interpolation 1/4 Degree Daily
Sea Surface Temperature (OISST)
Analysis, Version 2 AVHRR Pathfinder Version 5.2 Level 3 Collated (L3C)
Global 4 km
Sea Surface Temperature (SST) Climate Data Record (CDR) for 1981 - 2010 NOAA Climate Data Record (CDR) of Gridded Satellite Data from ISCCP B1 (GridSat - B1) 11 micron Brightness
Temperature, Version 2 NCDC Storm Events Database Coastal Economic Trends for Coastal Geographies Demographic Trends (1970 - 2010) for Coastal Geographies FEMA HAZUS Critical Facilities for Coastal Geographies Time - Series Data for Self - Employed Economic Activity Dependent on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 Time - Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector and Industry Level) Time - Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation between 2005 and 2012 (Sector Level)... Continued
I'll also take a quick look at the growing effect of residual biases from ship - buoy measurement adjustments in
sea surface temperature (SST)
analyses in recent years, which has led to some additional divergence between the two major operational SST series underlying these four
global series.
The anomaly map on the left is a product of a merged land
surface temperature (
Global Historical Climatology Network, GHCN) and
sea surface temperature (ERSST.v4) anomaly
analysis as described in Huang et al. (2016).
Global analyses of
sea surface temperature,
sea ice, and night marine air
temperature since the late nineteenth century.