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A fork of the MiMA Model of an idealized Moist Atmosphere intermediate-complexity general circulation model (https://github.com/mjucker/MiMA/). This version builds on pre-v1.0 code with the addition of a parameterization of gravity-wave momentum transport, Earth-like topography, and optional zonal-mean heating/cooling, which was used to approximate the impact of volcanic aerosol induced heating of the lower stratosphere. This also includes a coupling interface to use ML algorithms such as neural networks. The existing code is specifically designed to use WaveNet.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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