Looking at the last decade, it is clear that the observed rate of change
of upper ocean heat content is a little slower than previously (and below linear extrapolations of the pre-2003 model output), and it remains unclear to what extent that is related to a reduction in net radiative forcing growth (due to the solar cycle, or perhaps larger than expected aerosol forcing growth), or internal variability, model errors, or data processing — arguments have been made for all four, singly and together.
Eli, Pielke Snr says: «There does not need to be years of record to obtain statistically significant measures
of upper ocean heat content.
In the present study, satellite altimetric height and historically available in situ temperature data were combined using the method developed by Willis et al. [2003], to produce global estimates
of upper ocean heat content, thermosteric expansion, and temperature variability over the 10.5 - year period from the beginning of 1993 through mid-2003...
Time series of annual average global integrals
of upper ocean heat content anomaly (1021 J, or ZJ) for (a) 0 — 100 m, (b) 0 — 300 m, (c) 0 — 700 m, and (d) 0 — 1800 m. Thin vertical lines denote when the coverage (Fig. 3) reaches 50 % for (a) 0 — 100 m, (b) 100 — 300 m, (c) 300 — 700 m, and (d) 900 — 1800 m. From Lyman & Johnson (2013)
Not exact matches
The team, which includes Professor Baldwin, will lead innovative new research, which aims to advance current understanding
of three key conditions that influence seasonal weather across the continent — the North Atlantic
upper -
ocean heat content, Arctic sea - ice, and the stratosphere.
Researchers looking to solve this mystery found that
ocean heat content had remained high, so a sudden chill in
ocean waters (which would have caused
upper layers
of the seas to shrink in volume) wasn't the answer.
However, radiation changes at the top
of the atmosphere from the 1980s to 1990s, possibly related in part to the El Niño - Southern Oscillation (ENSO) phenomenon, appear to be associated with reductions in tropical
upper - level cloud cover, and are linked to changes in the energy budget at the surface and changes in observed
ocean heat content.
They found increases in sea surface temperature and
upper ocean heat content made the
ocean more conducive to tropical cyclone intensification, while enhanced convective instability made the atmosphere more favorable for the growth
of these storms.
Figure 3 is the comparison
of the
upper level (top 700m)
ocean heat content (OHC) changes in the models compared to the latest data from NODC and PMEL (Lyman et al (2010), doi).
A comparison
of the linear trends from these two series indicates that about 69 %
of the increase in
ocean heat content during 1955 to 1998 (the period when estimates from both time series are available) occurred in the upper 700 m of the World O
ocean heat content during 1955 to 1998 (the period when estimates from both time series are available) occurred in the
upper 700 m
of the World
OceanOcean.
To calculate the Earth's total
heat content, the authors used data
of ocean heat content from the
upper 700 metres.
Last week there was a paper by Smith and colleagues in Science that tried to fill in those early years, using a model that initialises the
heat content from the
upper ocean — with the idea that the structure
of those anomalies control the «weather» progression over the next few years.
The
upper ocean, which scientists know captures much
of the excess energy trapped in the atmosphere, also reached its largest
heat content on record in 2017, Arndt said.
The authors note that more than 85 %
of the global
heat uptake (Q) has gone into the
oceans, including increasing the
heat content of the deeper
oceans, although their model only accounts for the
upper 700 meters.
We find that the difference between the
heat balance at the top
of the atmosphere and
upper -
ocean heat content change is not statistically significant when accounting for observational uncertainties in
ocean measurements3, given transitions in instrumentation and sampling.
I don't need an assessment
of the models at predicting climate metrics including
upper ocean heat content.
Dr. Pielke ends his comment with a call for «independent assessments
of the skill at these models at predicting climate metrics including
upper ocean heat content», which
of course I have no problem with at all.
One thing I would have liked to see in the paper is a quantitative side - by - side comparison
of sea - surface temperatures and
upper ocean heat content; all the paper says is that only «a small amount
of cooling is observed at the surface, although much less than the cooling at depth» though they do report that it is consistent with 2 - yr cooling SST trend — but again, no actual data analysis
of the SST trend is reported.
On millennial scales, the
oceans take up
heat, lots
of it;
upper 2.5 m has the
heat content of the entire atmosphere (from a Wikipedia page with a title I don't recall just now).
I also tried to find an estimate
of the net effect
of hurricane activity on
upper ocean heat content; there are some reports on individual hurricanes (http://www.aoml.noaa.gov/phod/cyclone/data/pubs/Opal.pdf) but I couldn't find any global estimates.
Unfortunately we do not have any reliable and comprehensive measurements
of upper ocean temperature and
heat content prior to 2003, when ARGO measurements replaced the old expendable and spotty XBT data.
I notice in your plot
of the
heat content of the
upper 2000 m
of the world's
oceans that the vertical tics represent 1e22 joules.
If you take the amount
of crude oil extracted since 1850 (estimates vary, but maybe 200 billion tonnes = 200 * (10 ^ 9) * (10 ^ 3) kg) and multiply by the energy density
of crude oil (~ 50MJ / kg) the result comes out at about 10 ^ 22 J which is an order
of magnitude lower than the increase in
ocean heat content in the
upper 700m since the 1950s (~ 10 ^ 23J).
DK12 used
ocean heat content (OHC) data for the
upper 700 meters
of oceans to draw three main conclusions: 1) that the rate
of OHC increase has slowed in recent years (the very short timeframe
of 2002 to 2008), 2) that this is evidence for periods
of «climate shifts», and 3) that the recent OHC data indicate that the net climate feedback is negative, which would mean that climate sensitivity (the total amount
of global warming in response to a doubling
of atmospheric CO2 levels, including feedbacks) is low.
A comparison
of the linear trends from these two series indicates that about 69 %
of the increase in
ocean heat content during 1955 to 1998 (the period when estimates from both time series are available) occurred in the upper 700 m of the World O
ocean heat content during 1955 to 1998 (the period when estimates from both time series are available) occurred in the
upper 700 m
of the World
OceanOcean.
(See Hansen et al, 2005: where the increase in
ocean heat content per square meter
of surface, in the
upper 750m, according to typical models, is around 6.0 Watt · year / m2 per year, which converts to 0.7 × 10 ^ 22 Joules per year for the entire
ocean as explained at Bob Tisdale's site.
Slow variations in
upper ocean heat content that have been observed in the subpolar and marginal ice zone regions
of the Atlantic since the mid-twentieth century are thought to be related to changes in the strength
of the Atlantic Meridional Overturning Circulation (AMOC).
But that explanation is contradicted by a recent evaluation
of Arctic
Ocean heat content (Wunsch and Heimbach 2014 discussed here) which reveals the
upper 700 meters
of the Arctic
Ocean have been cooling.
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.
Domingues et al (2008) and Levitus et al (2009) have recently estimated the multi-decadal
upper ocean heat content using best - known corrections to systematic errors in the fall rate
of expendable bathythermographs (Wijffels et al, 2008).
Assuming for the sake
of argument that «the pause» is not an instrument error and the troposphere hasn't gotten any warmer in 16 years then this raises the question
of how
ocean heat content could be rising which, according to ARGO, at least the
upper half
of the
ocean is accumulating thermal energy.
At that point you try and measure changes in
heat content of the
upper ocean, more precisely, the flow
of energy into and out
of the
upper ocean by measuring the change in
heat content over time.
New estimates
of ocean heat content show a growing large discrepancy between
ocean heat content integrated for the
upper 300 vs 700 vs total depth.
«The
heat content of the
upper ocean is a key climate indicator, contributing to a substantial portion
of the global sea level rise.
The quick tempered reaction
of Poitou & Bréon: «Again a long list
of nonsense in those statements» may suggest that they don't like that clouds and insolation drive the temperatures and the
heat content of the
upper ocean (card n ° 13).
OHC: • Different global estimates
of sub-surface
ocean temperatures have variations at different times and for different periods, suggesting that sub-decadal variability in the temperature and
upper heat content (0 to to 700 m) is still poorly characterized in the historical record.
For example, additional evidence
of a warming trend can be found in the dramatic decrease in the extent
of Arctic sea ice at its summer minimum (which occurs in September), decrease in spring snow cover in the Northern Hemisphere, increases in the global average
upper ocean (
upper 700 m or 2300 feet)
heat content (shown relative to the 1955 — 2006 average), and in sea - level rise.
Willis et al. (2004) used satellite altimetric height combined with about 900,000 in situ
ocean temperature profiles to produce global estimates
of upper -
ocean (
upper 750 m)
heat content on interannual timescales from mid-1993 to 2002 (see Figure 4 - 3).
«The recent dramatic cooling
of the average
heat content of the
upper oceans, and thus a significant negative radiative imbalance
of the climate system for at least a two year period, that was mentioned in the Climate Science weblog posting
of July 27, 2006, should be a wake - up call to the climate community that the focus on predictive modeling as the framework to communicate to policymakers on climate policy has serious issues as to its ability to accurately predict the behavior
of the climate system.
First, the updated time series
of ocean heat content presented here (Figure 1) and the newly estimated confidence limits (Figure 3) support the significance
of previously reported large inter annual variability in globally integrated
upper -
ocean heat content [Levitus et al., 2005].
Scientific confidence
of the occurrence
of climate change include, for example, that over at least the last 50 years there have been increases in the atmospheric concentration
of CO2; increased nitrogen and soot (black carbon) deposition; changes in the surface
heat and moisture fluxes over land; increases in lower tropospheric and
upper ocean temperatures and
ocean heat content; the elevation
of sea level; and a large decrease in summer Arctic sea ice coverage and a modest increase in Antarctic sea ice coverage.
The model originally overestimated
ocean heat content in the
upper 300 meters and underestimated it for 300 — 1,500 meters for the decade
of 2001 — 2010.
The
heat content of the
upper layers
of the world's
oceans is the most comprehensive measure
of changes in the temperature
of the planet.
This modulates the flow
of heat from below and hence controls
upper ocean heat content.
Admittedly the data is very erratic (Lyman «but the underlying uncertainties in
ocean warming are unclear, limiting our ability to assess closure
of sea - level budgets»)(Trenberth «the messy data on
upper -
ocean heat content for 1993 — 2008 provides clear evidence for warming.
Based upon a number
of climate model experiments for the twenty - first century where there are stases in global surface temperature and
upper ocean heat content in spite
of an identifiable global energy imbalance, we infer that the main sink
of the missing energy is likely the deep
ocean below 275 m depth.
We also find that H is predicted with significantly more skill by DePreSys than by NoAssim (Fig. 1B), and we conclude that the improvement
of DePreSys over NoAssim in predicting Ts on interannual - to - decadal time scales results mainly from initializing
upper ocean heat content.
During 600 years
of the HadCM3, control integration Ts is highly correlated (correlation R = 0.89) with global annual mean
ocean heat content in the
upper 113 m (H).