Atmospheric Circulation Modeling
Atmospheric Circulation Modeling - Related Videos
05:22
Isolation and Propagation of Circulating Tumor Cells from a Mouse Cancer Model
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Cited by 8 •
2015
Circulating tumor cells (CTCs) have been shown to play an important role in tumor metastasis. Here, a method for the isolation and propagation of CTCs from the whole blood of a syngeneic mouse tumor model of hepatocellular carcinoma (HCC) metastasis is described.
06:19
Isolation of Circulating Tumor Cells in an Orthotopic Mouse Model of Colorectal Cancer
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Cited by 13 •
2017
We describe the establishment of orthotopic colorectal tumors via injection of tumor cells or organoids into the cecum of mice and the subsequent isolation of circulating tumor cells (CTCs) from this model.
13:27
Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
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Cited by 9 •
2015
A protocol for the design and construction of a soil tank interfaced to a small climate controlled wind tunnel to study the effects of atmospheric forcings on evaporation is presented. Both the soil tank and wind tunnel are instrumented with sensor technologies for the continuous in situ measurement of environmental conditions.
08:03
Generation of Prostate Cancer Patient Derived Xenograft Models from Circulating Tumor Cells
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Cited by 59 •
2015
This manuscript details a method used to generate prostate cancer patient derived xenografts (PDXs) from circulating tumor cells (CTCs). The generation of PDX models from CTCs provides an alternative experimental model to study prostate cancer; the most commonly diagnosed tumor and a frequent cause of death from cancer in men.
09:34
Extraction and Characterization of Surfactants from Atmospheric Aerosols
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Cited by 26 •
2017
Methods are presented for the targeted extraction of surfactants present in atmospheric aerosols and the determination of their absolute concentrations and surface tension curves in water, including their Critical Micelle Concentration (CMC).
FAQs
Pressure gradients and temperature differences create the forces that drive air movement, while Earth’s rotation modifies the resulting flow. Atmospheric circulation modeling represents these influences through fluid-dynamics and thermodynamic equations, allowing their combined effects to appear in simulated winds and energy transport. This interaction is essential when assessing regional weather behavior or engineering conditions influenced by moving air.
Moisture, radiation, and surface interactions alter how energy and atmospheric conditions evolve. Including these factors helps models represent linked behavior involving temperature, clouds, wind, and energy transport rather than treating air motion as an isolated process. Their representation matters for applications where atmospheric conditions interact with land surfaces, engineered structures, or changing environmental conditions.
Atmospheric behavior results from interacting influences rather than a single controlling variable. Pressure, temperature, rotation, radiation, moisture, and surface effects can jointly change the simulated circulation and energy movement. Representing these processes together produces a more useful physical description for examining weather, climate behavior, and engineering questions that depend on conditions within the atmosphere.
A study begins by expressing atmospheric behavior with fluid-dynamics and thermodynamic equations on a spatial grid. Researchers incorporate relevant atmospheric and surface factors, run the computational simulation, and examine outputs such as wind, clouds, or energy transport. They then compare the results with observations, using the comparison to evaluate performance and improve later projections.
By simulating atmospheric wind behavior and energy transport, these models provide information relevant to evaluating wind resources and their variability. Engineers can use that information in wind-energy assessment and in planning decisions that depend on atmospheric conditions. The modeled results become more credible when simulations are compared with observations and their performance is evaluated.
Engineering applications include weather prediction, wind-energy assessment, aircraft design, building design, air-quality analysis, and climate-risk planning. These uses draw on simulated atmospheric quantities such as wind, clouds, and energy transport. The appropriate application depends on which atmospheric behavior affects the system, structure, or planning decision being examined.
Researchers compare simulated atmospheric behavior with observations to assess how well the model represents conditions such as wind, clouds, and energy transport. This evaluation identifies where the simulations perform effectively and where improvement may be needed. The resulting feedback supports refinement of atmospheric projections, including projections concerned with changing environmental conditions.