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In the following section, we compare the model simulation and aircraft observations of ice properties to confirm whether WRF simulation with MORR indeed improves the prediction of ice properties.
This equation incorporates the consideration of the aspect ratio, region specific ice properties and the ice thickness.
Factors other than area are examined to determine their influence on pressure including the loading rate, aspect ratio, ice failure mode, and ice properties.
Temperature dependence is defined as the change in ice properties due to the temperature gradient as a function of depth of the iceberg.
It's the hovercraft that makes the setup truly unique: Using SABVABAA, the researchers can travel up to 100 kilometers from their floating base, assessing ice properties, currents, and water temperatures.
The results suggest that 2M representations of ice hydrometeors in Morrison MP scheme help the WRF model to reproduce a better forecast of MCS but does not seem to produce the realistic ice properties.
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However, the behavior of model-scale ice is not much explored and a deeper understanding of the model-scale ice mechanics is required to appraise the validity of full-scale and model-scale ice property tests.
However, the specific micro-nanoscale hierarchical structures on the superhydrophobic surface also induced a poorly melting ice property owing to the lower heat transfer efficiency caused by trapped air pockets.
This also applies for anti-icing properties.
Super-wetting surfaces are proved to display robust anti-icing properties.
Subsequently, Joule heating and de-icing/anti-icing properties of GPs-GE are investigated symmetrically, indicating its large heating rate, high efficiency of energy conversion and low cost.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com