You can use it to link to temperature datasets,
ocean heat content observations, databases of CO2 readings and more.
Spencer and Braswell (2013) produce a single ECS value best - matched to
ocean heat content observations and internal radiative forcing.
It is not yet standard practice to use
ocean heat content observations, which are available for the past 50 years, to validate forced climate simulations.
Not exact matches
In order to compare these satellite - based
observations with
ocean heat content it is necessary to anchor the data to an absolute scale.
However, lacking global
observations of surface mass and
ocean heat content capable of resolving year to year variations with sufficient accuracy, comprehensive diagnosis of the events early in the altimetry record (e.g. such as determining the relative roles of thermal expansion versus mass changes) has remained elusive.
Rather than use a model - based estimate, as did Hansen (2005) and Trenberth (2009), the authors achieve this by calculating it from
observations of
ocean heat content (down to 1800 metres) from the PMEL / JPL / JIMAR data sets over the period July 2005 to June 2010 - a time period dominated by the superior ARGO - based system.
Least unexpected
observations: (Joint winners) 2008 near - record minima in Arctic sea ice extent, last decade of record warmth, long term increases in
ocean heat content, record increases in CO2 emissions.
The global increase in
ocean heat content during the period 1993 to 2003 in two
ocean models constrained by assimilating altimetric sea level and other
observations (Carton et al., 2005; Köhl et al., 2006) is considerably larger than these observational estimates.
You speak of
heat going into the
oceans, but didn't the last IPCC report show model projections of
ocean heat content vs
observations, and there was no extra
heat in the
oceans?
Measurement of
ocean heat content is the most critical
observation, as nearly 90 percent of the energy surplus is stored in the
ocean [64]--[65].
And since we don't have good
ocean heat content data, nor any satellite
observations, or any measurements of stratospheric temperatures to help distinguish potential errors in the forcing from internal variability, it is inevitable that there will be more uncertainty in the attribution for that period than for more recently.
The key
observation here is the increase in
ocean heat content over the last half century (the figure below shows three estimates of the changes since 1955).
You speak of
heat going into the
oceans, but didn't the last IPCC report show model projections of
ocean heat content vs
observations, and there was no extra
heat in the
oceans?
Bayesian estimation of climate sensitivity based on a simple climate model fitted to
observations oh hemispheric temperature and global
ocean heat content.
Alternatively, more direct
observations of that radiative imbalance would be nice, or better theoretical and observational understanding of the water vapor and cloud feedbacks, or more paleoclimate data which can give us constraints on historical feedbacks, but my guess is that
ocean heat content measurements would be the best near term bet for improving our understanding of this issue.
A review of global
ocean temperature
observations: Implications for
ocean heat content estimates and climate change
Least unexpected
observations: (Joint winners) 2006 near - record minima in Arctic sea ice extent, near - record maxima in Northern Hemisphere temperatures, resumed increase in
ocean heat content, record increases in CO2 emissions
This is supported by historic
observations (Figure 1), which shows roughly decade - long hiatus periods in upper
ocean heat content during the 1960s to 1970s, and the 1980s to 1990s.
This idea was explored by Levitus et al (long term
observations of
ocean heat content) and Barnett et al (modelling of such changes) in a couple of Science papers a few years ago.
Bayesian estimation of climate sensitivity based on a simple climate model fitted to
observations of hemispheric temperatures and global
ocean heat content
The RF time series are linked to the
observations of
ocean heat content and temperature change through an energy balance model and a stochastic model, using a Bayesian approach to estimate the ECS from the data.
Also global
heat content of the
ocean (which constitutes 85 % of the total warming) has continued to rise strongly in this period, and ongoing warming of the climate system as a whole is supported by a very wide range of
observations, as reported in the peer - reviewed scientific literature.
[12] Magne Aldrin et al., «Bayesian Estimation of Climate Sensitivity Based on a Simple Climate Model Fitted to
Observations of Hemispheric Temperatures and Global
Ocean Heat Content,» Environmetrics, Vol.
6, No. 6 (June 2013), pp. 415 — 416; Magne Aldrin et al., «Bayesian Estimation of Climate Sensitivity Based on a Simple Climate Model Fitted to
Observations of Hemispheric Temperatures and Global
Ocean Heat Content,» Environmetrics, Vol.
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.
Thus 3,000 ARGO buoys do not give 3,000 independent estimates of the
ocean heat content at a particular time; each
observation gives a single estimate of the temperature at a particular location and depth.
The global increase in
ocean heat content during the period 1993 to 2003 in two
ocean models constrained by assimilating altimetric sea level and other
observations (Carton et al., 2005; Köhl et al., 2006) is considerably larger than these observational estimates.
Ocean warming: «Assessing recent warming using instrumentally homogeneous sea surface temperature records» «Tracking ocean heat uptake during the surface warming hiatus» «A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006&r
Ocean warming: «Assessing recent warming using instrumentally homogeneous sea surface temperature records» «Tracking
ocean heat uptake during the surface warming hiatus» «A review of global ocean temperature observations: Implications for ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006&r
ocean heat uptake during the surface warming hiatus» «A review of global
ocean temperature observations: Implications for ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006&r
ocean temperature
observations: Implications for
ocean heat content estimates and climate change» «Unabated planetary warming and its ocean structure since 2006&r
ocean heat content estimates and climate change» «Unabated planetary warming and its
ocean structure since 2006&r
ocean structure since 2006»
Notice that from 2003 to 2010, the
observations are higher than prediction, then lower than prediction — but overall OHC (actually OHCA,
ocean heat content anomaly) has been pretty close to its predicted values.
For these reasons, Section 5.2 mainly assessed upper -
ocean observations for long - term trends in
heat content and salinity.
The point is that this
observation is not very relevant if the outcome comes from a combination of relevant and persistently warming data from areas where the temperature is strongly correlated with increase in the
heat content of
oceans, atmosphere and continental topmost layers, and almost totally irrelevant data from areas and seasons where and when exceptionally great natural variability of surface temperatures makes these temperatures essentially irrelevant for the determination of longterm trends.
«Assessing recent warming using instrumentally homogeneous sea surface temperature records» «Tracking
ocean heat uptake during the surface warming hiatus» «A review of global
ocean temperature
observations: Implications for
ocean heat content estimates and climate change» «Unabated planetary warming and its
ocean structure since 2006»
Moreover, the scientists called for continued support of current and future technologies for
ocean monitoring to minimize
observation errors in sea surface temperature and
ocean heat content.
Observations suggest lower values for climate sensitivity whether we study long - term humidity, upper tropospheric temperature trends, outgoing long wave radiation, cloud cover changes, or the changes in the
heat content of the vast
oceans.
Measurement of
ocean heat content is the most critical
observation, as nearly 90 percent of the energy surplus is stored in the
ocean [64]--[65].
Recent
ocean heat content (OHC) calculations have shown a dramatic shift during the period 2001 — 2003, which is nearly coincident with a major transition in the
ocean observation network from a ship - based system to Argo floats.
«Our results demonstrate how synergistic use of satellite TOA radiation
observations and recently improved
ocean heat content measurements, with appropriate error estimates, provide critical data for quantifying short - term and longer - term changes in the Earth's net TOA radiation imbalance.
However, the
observations show that both surface temperatures as well as
ocean heat content started to increase (during the 1970's and 80's) long after solar activity had reached its plateau (during the 1950's).
Bayesian estimation of climate sensitivity based on a simple climate model fitted to
observations of hemispheric temperature and global
ocean heat content.
http://onlinelibrary.wiley.com/doi/10.1002/grl.50382/full Distinctive climate signals in reanalysis of global
ocean heat content Here we present the time evolution of the global
ocean heat content for 1958 through 2009 from a new
observation - based reanalysis of the
ocean.
To answer this, we need to view
observations of
ocean heat content over the past 40 years.
Several estimates of the trend in
ocean heat content have been made using the ARGO network of
ocean floats, satellite
observations of
ocean altimetry (Levitus et al., 2000, 2001; Willis et al., 2003), and climate models (Barnett et al., 2001; Crowley et al., 2003).
A wide range of other
observations (such as reduced Arctic sea ice extent and increased
ocean heat content) and indications from the natural world (such as poleward shifts of temperature - sensitive species of fish, mammals, insects, etc.) together provide incontrovertible evidence of planetary - scale warming.
«The assessment is supported additionally by a complementary analysis in which the parameters of an Earth System Model of Intermediate Complexity (EMIC) were constrained using
observations of near - surface temperature and
ocean heat content, as well as prior information on the magnitudes of forcings, and which concluded that GHGs have caused 0.6 °C to 1.1 °C (5 to 95 % uncertainty) warming since the mid-20th century (Huber and Knutti, 2011); an analysis by Wigley and Santer (2013), who used an energy balance model and RF and climate sensitivity estimates from AR4, and they concluded that there was about a 93 % chance that GHGs caused a warming greater than observed over the 1950 — 2005 period; and earlier detection and attribution studies assessed in the AR4 (Hegerl et al., 2007b).»
Not
observations of weather events, nor ice extents, nor sea level rises, nor
ocean heat content, etc etc..
According to the latest
observation by Lyman (2006) http://www.realclimate.org/index.php/archives/2006/08/ocean-
heat-
content-latest-numbers/ the
heat content of the
oceans is virtually unchanged since 2000, hence my comment.
Scroll down and look at the figure «Global
Ocean Heat Content Change» — the black line is the
observations from 1993 - 2003.
I estimate 2002 — 2011 OHU from a regression over 2002 — 2011 of 0 — 2000 m pentadal
ocean heat content estimates per Levitus et al. (2012), inversely weighting
observations by their variance.
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.