Statistical analysis of spatial and temporal variability of maximum precipitation events on the Rio Grande do Sul

Abstract

A statistical analysis of precipitation at Rio Grande do Sul State was presented in this article. The aim of this wor was to identify spatial and temporal patterns of maximum precipitation, which was achieved y ttin a theoretical vario ram in maximum annual rainfalls and its times of occurrence. n the literature, it was found that this pattern occurs accordin to phenomena typical from middle latitude, such as low and hi h level et, and interactions etween them. Some years a o, the relationship etween maximum annual rainfalls and synoptic predominant con urations was found. Therefore, this wor sou ht on understandin the climatic characteristics that are important in Aerospace and Aeronautics, as extreme weather can cause numerous consequences in these activities. The use and validation of this proposed method would ma e possi le its application in other re ions of interest in the ra ilian Aerospace. nderstandin these climatolo ical features of the atmospheric circulation dynamics, and analy in maximum annual rainfall would allow a more ef cient and appropriate climate trend forecast and its application in aerospace activities.

A case study with extreme low-level jet in southern Brazil

“…Different observational studies and numerical simulations (Pitchford and London 1962, Bonner 1968, Stensrud 1996, Higgins, et al 1997, Whiteman, et al 1997, Igau, et al 1998, Parsons, et al 2000and Lackmann 2002, Corrêa 2005Corrêa, et al 2012 andShapiro, et al 2016) carried out in different regions of the planet showed that inside the Planetary Boundary Layer (PBL) there is usually a narrow vertical strip containing maximum winds that occur at heights of about 100 meters or more, and whose extreme values are in the range of 10 to 40 ms -1 , known as Low-Level Jet (LLJ). This work seeks to discuss the dynamics and interaction of atmospheric movements of a certain meteorological scale (LLJ -microscale-mesoscale) that interconnect with the airflow in other meteorological scales (mesoscale and large scale) of great importance.…”