Fronts and precipitation in CMIP5 models for the austral winter of the Southern Hemisphere

• Published in: Climate dynamics Vol. 50; no. 7-8; pp. 2705 - 2717
• Main Authors: Blázquez, Josefina, Solman, Silvina A.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2018; Springer; Springer Nature B.V
• Subjects: Analysis; Climate models; Climatology; Earth and Environmental Science; Earth Sciences; Frontal precipitation; Fronts; Fronts (Meteorology); Geophysics/Geodesy; Humidity; Latitude; Oceanography; Performance assessment; Precipitation; Precipitation (Meteorology); Southern Hemisphere; Specific humidity; Temperature gradients; Vorticity; Southern Hemisphere; Frontal activity; Precipitation; Southern Hemisphere; Present climate; CMIP5 models
• DOI: 10.1007/s00382-017-3765-z
• ISSN: 0930-7575

Wintertime fronts climatology and the relationship between fronts and precipitation as depicted by a group of CMIP5 models are evaluated over the Southern Hemisphere (SH). The frontal activity is represented by an index that takes into account the vorticity, the gradient of temperature and the specific humidity at the 850 hPa level. ERA-Interim reanalysis and GPCP datasets are used to assess the performance of the models in the present climate. Overall, it is found that the models can reproduce adequately the main features of frontal activity and front frequency over the SH. The total precipitation is overestimated in most of the models, especially the maximum values over the mid latitudes. This overestimation could be related to the high values of precipitation frequency that are identified in some of the models evaluated. The relationship between fronts and precipitation has also been evaluated in terms of both frequency of frontal precipitation and percentage of precipitation due to fronts. In general terms, the models overestimate the proportion between frontal and total precipitation. In contrast with frequency of total precipitation, the frequency of frontal precipitation is well reproduced by the models, with the higher values located at the mid latitudes. The results suggest that models represent very well the dynamic forcing (fronts) and the frequency of frontal precipitation, though the amount of precipitation due to fronts is overestimated.