In the article, ‘Severe Weather Events over Southeastern Brazil during the 2016 Dry Season’ Rehbein et al. the factors that have led changes in the weather conditions in Southeastern Brazil such as dry seasons leading to economic collapse.
Rehbein et al. conducted a synoptic analysis in which they developed the rainfall anomalies, temperature change, and moisture disturbance. Warm air advection followed in the troposphere and was associated with the alteration in the flow of wind in different areas (Rehbein et al., 02). The overall irregularities were connected irregularities connected to madden-Julian Oscillation and Indian Ocean waves. The wind had affected the precipitation on Southeastern Brazil. Convective system of wind influenced the heat and favoured the precipitation events leading to high volumes of rain that caused tornados. The low Showalter and high wind shelter were associated with the rise of weather conditions. South American wind influenced the movement of wind from the Amazon Basin to southeastern Brazil. The effects of these weather conditions include flooding and damages on the property.
The study’s limit is the failure to recommend the strategies that could be adopted to improve the operations of the numerical models. Models such as Global Forecasting System, Brazilian Regional Atmospheric Modeling System and others to effectively analyze and predict the occurrence of such weather conditions (Rehbein 04). According to the study, the modelling was not effective in identifying the main dynamics forcing. The precipitation like the one affected southeastern Brazil might happen, and effective models need establishing for risk management.
In conclusion, weather conditions occur due to different regions and influenced by precipitation levels. Strategies to determine such conditions develop for future weather management. Future studies should focus on developing effective models.
Work Cited
Rehbein, Amanda, et al. “Severe Weather Events over Southeastern Brazil during the 2016 Dry Season.” Advances in Meteorology 2018 (2018). www.hindawi.com/journals/amete/2018/4878503/