According to the authors, "It has been challenging to simulate convection realistically in global atmospheric models, because of the large gap in spatial scales between convection (10^0 km) and global motions (10^4 km)." The authors find "an essential change for convection statistics occurred around 2-km grid spacing. The convection structure, number of convective cells, and distance to the nearest convective cell dramatically changed at this [2 km] resolution," which is a much, much smaller resolution than used by IPCC climate models [50-100km grid size in AR5 models].
Skeptics such as Dr. Noor van Andel have shown that the so-called "human fingerprint" or "hot spot" of global warming [that exists only in climate models] is a consequence of incorrect assumptions regarding convection, and this new paper may shed light on the reasons why.
Deep moist atmospheric convection in a sub-kilometer global simulation
Yoshiaki Miyamoto, Yoshiyuki Kajikawa, Ryuji Yoshida, Tsuyoshi Yamaura, Hisashi Yashiro, Hirofumi Tomita
Deep moist atmospheric convection is a key element of the weather and climate system for transporting mass, momentum, and thermal energy. It has been challenging to simulate convection realistically in global atmospheric models, because of the large gap in spatial scales between convection (10^0 km) and global motions (10^4 km). We conducted the first ever sub-kilometer global simulation and described the features of convection. Through a series of grid-refinement resolution testing, we found that an essential change for convection statistics occurred around 2-km grid spacing. The convection structure, number of convective cells, and distance to the nearest convective cell dramatically changed at this resolution. The convection core was resolved using multiple grids in simulations with grid spacings less than 2.0 km.
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