Where in South Africa do mid latitude cyclone occur?4 answersMid-latitude cyclones in South Africa occur predominantly in the oceans south of the country, particularly in the region between South Africa and southwestern Western Australia, where they are known to be among the strongest depressions globally. These cyclones are characterized by near-surface winds exceeding storm force and central pressures of 960 hPa and lower, posing threats to both open ocean and coastal areas. Additionally, the density, distribution, and characteristics of mid-latitude cyclones in the southern oceans near Africa have been studied, with improvements seen in the representation of these cyclones in the latest version of the GENESIS general circulation model (GCM) compared to its predecessor. Furthermore, the structural evolution of winter low-pressure systems over the Southern Ocean has been analyzed, highlighting the influence of sea temperature regimes on the intensity of mid-latitude cyclones south of Africa.
When can weather be considered extreme?5 answersExtreme weather can be defined in different ways depending on the context. From a statistical perspective, extremes are considered low-probability events that differ greatly from typical occurrences. In the context of weather and climate events, extremes are defined as the occurrence of a value of a weather or climate variable above or below a threshold value near the upper or lower ends of the range of observed values. Extreme weather events can include heavy precipitation events, windstorms, heat waves, and more. It is important to note that not all extremes necessarily lead to serious impacts, and the impacts of extreme events can depend on various factors such as location and timing. Overall, extreme weather can be characterized by deviations from climatology, low-probability events, and the occurrence of values outside the typical range of observed values.
Why numerical weather prediction model?5 answersNumerical Weather Prediction (NWP) models are used because they simulate the dynamics of the atmosphere and provide high-quality forecasts. NWP models have limitations due to the computational resources required, which restrict the spatial and temporal resolution of the outputs. Traditional meteorological techniques to increase resolution are based on a limited group of interest variables. However, recent studies have explored an alternative approach by generating precipitation maps based on the complete set of variables in NWP models. Deep learning models, such as U-Net, deconvolutional networks, and conditional generative models (CGAN), have been trained and evaluated to improve precipitation predictions. These models have shown significant improvements in predicting precipitation, increasing resolution, and correcting biases in the input information. The CGAN model has demonstrated the highest quality precipitation forecast, generating realistic outputs and suggesting future research directions.
What is the future Extreme weather events cuased by climate change?4 answersExtreme weather events in the future are likely to increase in frequency and intensity due to climate change. While there is uncertainty in directly linking these events to climate change, it is agreed that the impact of climate change is evident in many parts of the globe, including India. Projections suggest that atmospheric extremes, such as extreme heat, precipitation, droughts, storms, and wind gusts, will be affected by increasing greenhouse gas concentrations. These changes are expected to be distinguishable from natural climate variability as a result of further anthropogenic forcing. In Europe, heavy and extreme precipitation events are projected to increase in northern, central, and eastern regions, while a decrease is expected in the southwest. The severity and characteristics of these changes can vary by region and season. The RCP8.5 scenario shows stronger changes in heavy and extreme events compared to the RCP4.5 scenario.
What are the weather conditions of West Africa?4 answersWest Africa experiences a division of the year into two well-defined seasons: the wet and the dry. The wet season occurs from April to September and is characterized by rainfall brought by the south-west monsoon winds. The dry season, known as the Harmattan, occurs from October to March and is characterized by dry and dusty conditions, with temperatures falling rapidly at night. The region also experiences the Intertropical Discontinuity (ITD), which influences moist convection and rainfall patterns. NASA's Atmospheric Infrared Sounder (AIRS) measurements have shown that the ITD exhibits seasonal variations and diurnal-scale variations, with increased instability and thunderstorm propagation at night. The Dynamics–Aerosol–Chemistry–Cloud Interactions in West Africa (DACCIWA) project has further studied the large-scale setting and weather systems in the region, including the monsoon onset and the influence of Pacific La Nina, Atlantic El Nino, and warm eastern Mediterranean conditions on precipitation. Climate change projections indicate that future climate in West Africa will be characterized by more extreme temperatures and precipitation, with potential socioeconomic implications.
What are the limitation of weather forecasts for renewabel energy?5 answersWeather forecasts for renewable energy have limitations due to the unpredictable nature of weather conditions. These limitations include limited precision in both historical data-based forecasts and future climate predictions. However, using weather forecasts based on predictions of future energy supply has been shown to improve the performance of energy harvesting systems. The dependence on weather conditions, which are unpredictable variables, is a major obstacle for renewable energy systems. Weather forecast errors are responsible for deviations from optimal plans in microgrid energy management systems, making weather information an important source of uncertainty. Additionally, the uncertainty in weather forecasting for commonly used weather variables can affect the accuracy of solar PV energy forecasting.