Since you insist on discussing sea surface temperatures, here's a comparison of the data you presented versus
the sea surface temperature data for the Pacific Ocean if you had entered the fields correctly.
Moreover, taking the proxy
sea surface temperature data for the peak Eocene period (55 — 48 Myr BP) at face value yields a global temperature of 33 — 34 °C (fig. 3 of Bijl et al. [84]-RRB-, which would require an even larger CO2 amount with the same climate models.
Not exact matches
In the new study, the researchers searched
for such events recorded in
sea surface temperature data recorded as far back as 1900 and in satellite
data since 1982.
«In our study we used satellite
data for sea ice and
sea surface temperatures to run some coordinated hindcast experiments with five different atmospheric models,» Ogawa says.
They combined previously - collected penguin population
data from 1982 to 2014 with
sea surface temperature data from satellites, ships and buoys
for the same time period.
The study examined 27 years worth of satellite
data for sea surface temperatures, previous coral bleaching events, and studied how corals responded to different seawater warming conditions.
The
data, in the form of infrared images of the Earth's
surface, is used to detect changes in
sea surface temperatures for research -LSB-...]
I found problems with the
data including: ««⠉ NOAA buoys measuring near - to -
sea -
surface air
temperature — e.g. inadequate shielding of direct solar heating ««⠉ ship - based
sea surface temperature — e.g. variable points in cooling systems
for diesel versus steam ship propulsion
We do not know what the MOC has actually been doing
for lack of
data, so the authors diagnose the state of the MOC from the
sea surface temperatures — to put it simply: a warm northern Atlantic suggests strong MOC, a cool one suggests weak MOC (though it is of course a little more complex).
It is widely realized that WWii saw changes in the construction of sampling buckets
for sea surface temperature measurement, and many navies switching to water intake
temperatures in compiling
data from ships at
sea.
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.
For instance, for the Last Glacial Maximum, model - data mis - matches highlighted by Rind and Peteet (1985) for the tropical sea surface temperatures, have subsequently been more or less resolved in favour of the mode
For instance,
for the Last Glacial Maximum, model - data mis - matches highlighted by Rind and Peteet (1985) for the tropical sea surface temperatures, have subsequently been more or less resolved in favour of the mode
for the Last Glacial Maximum, model -
data mis - matches highlighted by Rind and Peteet (1985)
for the tropical sea surface temperatures, have subsequently been more or less resolved in favour of the mode
for the tropical
sea surface temperatures, have subsequently been more or less resolved in favour of the models.
If we had better
sea level rise
data for the whole period, we might see that the heat storage curve into the ocean had a shape that better matched the simple function approximation than the land
surface data does, or we might have better information on internal climate modes that confused or delayed the
temperature response.
The 2005 Jan - Sep land
data (which is adjusted
for urban biases) is higher than the previously warmest year (0.76 °C compared to the 1998 anomaly of 0.75 °C
for the same months, and a 0.71 °C anomaly
for the whole year), while the land - ocean
temperature index (which includes
sea surface temperature data) is trailing slightly behind (0.58 °C compared to 0.60 °C Jan - Sep, 0.56 °C
for the whole of 1998).
But while the graph was only
for SST (
sea surface temperature, something different of SAT —
surface air
temperature, even at
sea), the influence of the solar cycle and volcanic episodes (El Chicon and Pinatubo) is visible globally in the oceans until a depth of 300 m in the Levitus
data.
The National Climatic
Data Center has released its review of worldwide
sea surface temperatures for August and
for the stretch from June through August and finds that both the month and the «summer» (as looked at from the Northern Hemisphere) were the warmest at least since 1880, when such records were first systematically compiled.
So the infilled GISS
data, which extends out over the Arctic, would show the greater warming since the 1970s... until the warming stops
for Northern Hemisphere
sea surface temperatures and
for the low - to - mid latitude land
surface air
temperatures.
And
for the period of 1997 to 2012, there are no similarities between the warming and cooling patterns
for lower troposphere
temperatures over the oceans and the satellite - enhanced
sea surface temperature data.
In the main part of the paper,
for China, we compare a new homogenized station
data set with gridded
temperature products and attempt to assess possible urban influences using
sea surface temperature (SST)
data sets
for the area east of the Chinese mainland.
The group compiled thousands of
data points to create detailed maps of
sea surface temperatures for the Last Glacial Maximum.
The effect of some outmoded methods, such as the pre-1940s use of uninsulated canvas buckets to gather
sea -
surface temperature data, can be compensated
for, but only approximately.1 Alternatively,
data sources known to be heavily «contaminated» can be avoided.
Data sources available
for Sea Surface Temperature measurements.
As a result, directly comparing the
Sea Surface Temperature data from the early 20th century to the current
Sea Surface Temperature data is like «comparing apples and oranges» — there have been too many changes in the
data sources
for such comparisons to have much meaning.
In summary, the historical [
Sea Surface Temperature] record... may well contain instrumental bias effects that render the data of questionable value in determining long period trends in ocean surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their r
Surface Temperature] record... may well contain instrumental bias effects that render the
data of questionable value in determining long period trends in ocean
surface temperatures... Investigators that use the data [to try this] bear a heavy, perhaps impossible, responsibility for ensuring that the potential instrument bias has not contaminated their r
surface temperatures... Investigators that use the
data [to try this] bear a heavy, perhaps impossible, responsibility
for ensuring that the potential instrument bias has not contaminated their results.
As
for your higher
sea surface temperatures, where is that
data?
The Group
for High Resolution SST (GHRSST) is a follow on activity form the Global Ocean
Data Assimilation Experiment (GODAE) high - resolution sea surface temperature pilot project (GHRSST - PP) provides a new generation of global high - resolution (< 10 km) SST data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed m
Data Assimilation Experiment (GODAE) high - resolution
sea surface temperature pilot project (GHRSST - PP) provides a new generation of global high - resolution (< 10 km) SST
data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed m
data products to the operational oceanographic, meteorological, climate and general scientific community, in real time and delayed mode.
for article
Sea Surface Temperature of the mid-Piacenzian Ocean: A
Data - Model Comparison.
David, it would be more accurate to suggest that I thought satellite
temperature data ought to be preferred to land and
sea surface temperatures,
for all sorts of good reasons explained in earlier essays.
The
data used in estimating the Levitus et al. (2005a) ocean
temperature fields (
for the above heat content estimates) do not include
sea surface temperature (SST) observations, which are discussed in Chapter 3.
Some day I'll figure out why the climate science community insists on using abstract forms of
sea surface temperature data as indices, like the PDO, when detrending the
sea surface temperatures of the KOE (which dominate the North Pacific) would provide the same basic information (only inverted) and would be less confusing
for most persons.
Tapster, Dan, 167 Tata Steel Corporation, 44 Taylor, Mitch, 137 Taylor, Richard, 107 - 108
Temperature, global, 10, 14, 16, 47 - 48, 51, 53, 55 - 56, 58 - 69, 79 - 80, 86 - 87, 89 - 92, 94, 97 - 99, 101, 105 - 108, 110, 120, 133, 135 - 136, 140, 147, 159 - 160, 162, 169, 180, 182, 239 - 240, 242, 246 proxy, 58, 60, 64, 66, 69, 76, 159 - 160 record (
data), 145, 147 - 153, 160 - 161, 169
sea surface (SST), 58 - 62, 68 - 69, 116 - 118, 139, 238, 240 Texas A & M University, 167 Texas Tech University, 116 The Book of Icelanders, 56 The Chilling Stars, 96 The Climate Crisis, 120 The Foundation Center, 175 The Guardian, 124 The New York Times, 103, 105 The Population Bomb, 32 The Weather Makers, 10 TNO Management Consultants, 22 Tornado, 114 - 116, 119 - 120, 125, 240 Trenberth, Kevin, 67, 119, 162 - 163, 170, 238 Trent University, 156 Troposphere, 89 - 91, 96, 105 Tunesia, 157 Turner, Jonathan, 28 Turner, Ted, 33 Tyndall Centre
for Climate Change Research, 35, 167 - 168, 225
Many variables — rainfall,
sea surface temperature, fisheries, cyclone frequency — all are observed in empirical evidence — hard
data — to change abruptly and
for lessor or longer periods.
«Direct observational
data on
surface air
temperature are sparse
for the Antarctic, but none of the datasets examined provides evidence of net warming south of 60 ° S since 1979, a period during which
sea - ice extent increased a little.»
For more than 3 1/2 years, I've been presenting how
sea surface temperature data indicates that ENSO is the primary cause of the warming of the past 3 decades.
For a more general discussion of uncertainty in historical SST measurements and
data sets see: Kennedy, J.J. (2013) A review of uncertainty in in situ measurements and
data sets of
sea -
surface temperature.
This allows you to construct your own version of the
temperature record, using either adjusted or unadjusted
data for both the land and
sea surface temperatures.
Guest post by Bob Tisdale This post will serve as the Preliminary
Sea Surface Temperature Anomaly Update
for June 2012, since we'll be using preliminary June 2012
data in it.
I looked at the
data — the
sea surface temperature anomalies
for that region.
Any discussion on that webpage you linked... https://www.ncdc.noaa.gov/monitoring-references/faq/anomalies.php... regarding their preference
for anomalies has to do with land
surface, not
sea surface,
temperatures, which is why their land
surface temperature data and consequently their combined land + ocean
data are presented as anomalies.
And in past model -
data comparisons, we've used the NOAA's original satellite - enhanced Reynolds OI.v2
sea surface temperature dataset, but for this one we're using NOAA's Extended Reconstructed Sea Surface Temperature version 4 (ERSST.v4) da
sea surface temperature dataset, but for this one we're using NOAA's Extended Reconstructed Sea Surface Temperature version 4 (ERSST.v4
surface temperature dataset, but for this one we're using NOAA's Extended Reconstructed Sea Surface Temperature version 4 (ERSS
temperature dataset, but
for this one we're using NOAA's Extended Reconstructed
Sea Surface Temperature version 4 (ERSST.v4) da
Sea Surface Temperature version 4 (ERSST.v4
Surface Temperature version 4 (ERSS
Temperature version 4 (ERSST.v4)
data.
-LSB-[«Trying to get a little more quantitative, I went to woodfortrees to check out the trend
for something similar — in this case the HADSST2 global
sea surface temperature anomaly
data.
The paper discusses four different sets of
data on satellite atmospheric monitoring (all producing slightly different end products), two radiosonde
data sets (from UK Hadley Centre and University of Vienna, both adjusted
for inhomogeneities — and that opens another can of worms), four different
surface temperature data sets (based on reconstructed
sea surface temperature data sets from Hadley Centre, again, and Climate Research Unit).
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.
It has been noted by investigators that the algorithms used
for adjusting satellite observed SST
data has been inconsistent, cloud coverage has limited the adequacy of satellite coverage, and in - situ measurements by VOS and buoy networks has been inadequate with respect to the datasets produced by the Advanced Very High Resolution Radiometers (AVHRR), Cross Product
Sea Surface Temperature (CPSST), Non-Linear SST (NLSST), and Multi-Channel
Sea Surface Temperature (MCSST) methods.
To obtain the «best possible» initial ice - ocean conditions
for the forecasts, we conducted a retrospective simulation using PIOMAS that assimilates satellite ice concentration and
sea surface temperature data.
An example to explain why this is a fallacy: if one were able to measure the
temperature at a single point on the Earth's
surface (say
sea level)
for a million years consecutively you would have a time series
data set.
Observed changes in (a) global average
surface temperature; (b) global average
sea level rise from tide gauge (blue) and satellite (red)
data and (c) Northern Hemisphere snow cover
for March - April.
The «POGA - H» model also uses historical
data for climate forcing, but constrains
sea surface temperature in the tropical eastern Pacific (the ENSO region) to follow their historical values.
Figure 3: Global mean
sea level variations (light line) computed from the TOPEX / POSEIDON satellite altimeter
data compared with the global averaged
sea surface temperature variations (dark line)
for 1993 to 1998.
The issue is with bad
data, as Dr. Pat Michaels Dr. Richard Lindzen, and Dr. Chip Knappenberger observed related to the switch from buckets on a rope to engine water inlets
for measuring
sea surface temperature: