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Related Concept Videos

Random Error01:04

Random Error

Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
Quantifying Heat02:46

Quantifying Heat

Thermal Energy Microscopically, thermal energy is the kinetic energy associated with the random motion of atoms and molecules. Temperature is a quantitative measure of “hot” or “cold”, which depends on the amount of thermal energy. When the atoms and molecules in an object are moving or vibrating quickly, they have a higher average kinetic energy (KE) (or higher thermal energy), and the object is perceived as “hot”, or it is described as being at a higher temperature. When the atoms and...
Global Climate Change01:50

Global Climate Change

Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
Heat Flow and Specific Heat01:12

Heat Flow and Specific Heat

Heat is a type of energy transfer that is caused by a temperature difference, and it can change the temperature of an object. Since heat is a form of energy, its SI unit is the joule (J). Another common unit of energy often used for heat is the calorie (cal), which is defined as the energy needed to change the temperature of 1 g of water by 1 °C, specifically between 14.5 °C and 15.5 °C, since the energy needed shows a slight temperature dependence. Another commonly used unit is the kilocalorie...
Effects of Temperature on Free Energy02:11

Effects of Temperature on Free Energy

The spontaneity of a process depends upon the temperature of the system. Phase transitions, for example, will proceed spontaneously in one direction or the other depending upon the temperature of the substance in question. Likewise, some chemical reactions can also exhibit temperature-dependent spontaneities. To illustrate this concept, the equation relating free energy change to the enthalpy and entropy changes for the process is considered:
What is Climate?01:16

What is Climate?

Climate refers to the prevailing weather conditions in a specific area over an extended period. As the saying goes, “Climate is what you expect. Weather is what you get.” Climate is influenced by geographic factors, such as latitude, terrain, and proximity to bodies of water.

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Related Experiment Video

Updated: Jul 14, 2026

Thermal Limits Determination for Zooplankton Using a Heat Block
07:16

Thermal Limits Determination for Zooplankton Using a Heat Block

Published on: November 18, 2022

Simulated and observed variability in ocean temperature and heat content.

K M Achutarao1, M Ishii, B D Santer

  • 1Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550, USA. achutarao1@llnl.gov

Proceedings of the National Academy of Sciences of the United States of America
|June 21, 2007
PubMed
Summary

Climate models underestimate ocean heat content variability. Accounting for observational changes and volcanic eruptions reconciles model and observation discrepancies, refuting recent claims of ocean cooling.

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Area of Science:

  • Oceanography
  • Climate Science
  • Earth System Science

Background:

  • Observations reveal a significant rise in ocean heat content (OHC) during the late 20th century, alongside considerable interannual-to-decadal OHC variability.
  • Existing climate models can replicate general OHC trends but are often criticized for underestimating OHC variability.

Purpose of the Study:

  • To investigate the discrepancy between observed and modeled ocean heat content variability.
  • To evaluate recent claims of a substantial OHC decrease in the upper ocean between 2003 and 2005.

Main Methods:

  • Analysis of 20th-century climate simulations from 13 distinct numerical models.
  • Incorporation of factors such as evolving observational coverage, instrumentation changes, and volcanic eruption impacts into model assessments.
  • Examination of the 2003-2005 period, focusing on the influence of the Argo float observing system.

Main Results:

  • The study demonstrates that discrepancies in OHC variability between models and observations are largely resolved by accounting for observational system changes and volcanic forcing.
  • The findings do not support the assertion of a significant global ocean heat content decrease between 2003 and 2005.
  • A notable shift in the observing system, specifically the deployment of Argo floats, is identified as a key factor in explaining the perceived 2003-2005 cooling, by mitigating a prior warm bias.

Conclusions:

  • Reconciling climate model simulations with observational data requires careful consideration of historical changes in ocean monitoring and external climate drivers like volcanic activity.
  • The apparent short-term ocean cooling from 2003-2005 is primarily an artifact of improved observational techniques rather than a genuine climate signal.