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The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
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Generation of Local CA1 γ Oscillations by Tetanic Stimulation
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Precipitation-generated oscillations in open cellular cloud fields.

Graham Feingold1, Ilan Koren, Hailong Wang

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Cloud fields form oscillating cellular patterns, influencing Earth's climate. This study reveals how precipitation drives self-organization in cloud patterns, impacting sunlight reflection and climate modeling.

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Area of Science:

  • Atmospheric science
  • Climate science
  • Meteorology

Background:

  • Cloud patterns significantly impact Earth's climate by altering sunlight reflection.
  • Cellular cloud structures are linked to organized convection and influenced by aerosols affecting precipitation.
  • The mechanisms driving cloud cell formation and evolution remain poorly understood, hindering climate simulations.

Purpose of the Study:

  • To elucidate the physical mechanisms behind the formation and oscillation of open cellular cloud patterns.
  • To understand how precipitating clouds self-organize into oscillating patterns.
  • To improve the simulation of cloud effects on global reflectance.

Main Methods:

  • Analysis of satellite imagery to observe cloud patterns.
  • Utilization of numerical models to simulate cloud dynamics.
  • Investigation of precipitation's role in cloud cell evolution.

Main Results:

  • Precipitating clouds generate oscillating open cellular patterns.
  • Precipitation-induced downdrafts and outflows interact, creating surface convergence zones.
  • These zones trigger new cloud formation, leading to a self-organized, oscillating system.

Conclusions:

  • Cloud field patterns are dynamic, oscillating systems driven by precipitation processes.
  • Understanding these oscillations is crucial for accurate climate modeling and predicting cloud-driven climate impacts.
  • The study reveals a novel self-organization mechanism in atmospheric convection.