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Global Climate Change01:50

Global Climate Change

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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.
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What is Climate?01:16

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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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Simplified Synchronous Machine Model01:30

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The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...
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Three-Phase Short Circuit—Unloaded Synchronous Machine01:21

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Conducting a three-phase short circuit test on an unloaded synchronous machine helps understand its impact on the system. The AC fault current's oscillogram, with the DC offset removed, reveals that the waveform amplitude decreases from an initially high value to a steady-state level for one phase of the machine.
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Lewis Acids and Bases02:33

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In 1923, G. N. Lewis proposed a generalized definition of acid-base behavior in which acids and bases are identified by their ability to accept or to donate a pair of electrons and form a coordinate covalent bond.
A coordinate covalent bond (or dative bond) occurs when one of the atoms in the bond provides both bonding electrons. For example, a coordinate covalent bond occurs when a water molecule combines with a hydrogen ion to form a hydronium ion. A coordinate covalent bond also results when...
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Weak Base Solutions03:21

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Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
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Updated: Feb 16, 2026

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Simulating climate with a synchronization-based supermodel.

Frank M Selten1, Francine J Schevenhoven2, Gregory S Duane2

  • 1Royal Netherlands Meteorological Institute, De Bilt, Netherlands.

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|January 1, 2018
PubMed
Summary
This summary is machine-generated.

A new supermodel approach improves climate predictions by synchronizing imperfect models. This method yields more accurate climate projections and CO2 responses than standard multi-model ensembles.

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Area of Science:

  • Climate modeling
  • Computational science

Background:

  • Global climate models are essential for predicting future climate scenarios.
  • Current multi-model ensemble approaches have limitations in accuracy.

Purpose of the Study:

  • To investigate a novel supermodel approach for climate prediction.
  • To assess the effectiveness of a synchronization-based learning algorithm.

Main Methods:

  • Utilized the SPEEDO global climate model in a perfect model setting.
  • Generated two imperfect models by parameter perturbation.
  • Introduced connection terms and a synchronization-based learning algorithm to create a supermodel.

Main Results:

  • The supermodel approach synchronized imperfect models to a common solution.
  • Synchronization errors vanished, defining the final supermodel.
  • Supermodels demonstrated improved climatology and CO2 response compared to imperfect models and standard ensembles.

Conclusions:

  • The supermodel approach shows significant potential for enhancing climate prediction accuracy.
  • Synchronization-based learning offers a promising avenue for improving climate model ensembles.