| Full text | |
| Author(s): |
Adams, David K.
;
Barbosa, Henrique M. J.
;
Patricia Gaitan De Los Rios, Karen
Total Authors: 3
|
| Document type: | Journal article |
| Source: | MONTHLY WEATHER REVIEW; v. 145, n. 1, p. 279-288, JAN 2017. |
| Web of Science Citations: | 5 |
| Abstract | |
Deep atmospheric convection, which covers a large range of spatial scales during its evolution, continues to be a challenge for models to replicate, particularly over land in the tropics. Specifically, the shallow-to-deep convective transition and organization on the mesoscale are often not properly represented in coarse-resolution models. High-resolution models offer insights on physical mechanisms responsible for the shallow-to-deep transition. Model verification, however, at both coarse and high resolution requires validation and, hence, observational metrics, which are lacking in the tropics. Here a straightforward metric derived from the Amazon Dense GNSS Meteorological Network (similar to 100 km x 100 km) is presented based on a spatial correlation decay time scale during convective evolution on the mesoscale. For the shallow-to-deep transition, the correlation decay time scale is shown to be around 3.5 h. This novel result provides a much needed metric from the deep tropics for numerical models to replicate. (AU) | |
| FAPESP's process: | 13/50510-5 - Brazil-USA collaborative research: modifications by anthropogenic pollution of the natural atmospheric chemistry and particle microphysics of the tropical rain forest during GoAmazon intensive operating periods |
| Grantee: | Henrique de Melo Jorge Barbosa |
| Support Opportunities: | Research Program on Global Climate Change - Regular Grants |