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The Miraculous Anatomy of the Digital Immune System
Published in Rocky Dr. Termanini, The Nano Age of Digital Immunity Infrastructure Fundamentals and Applications, 2018
Let’s take a look at other forecast systems such as weather and stock forecasting approaches. Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Weather forecasts are made by collecting (first step) quantitative weather data from weather satellites about the current state of the atmosphere on a given place and using scientific understanding of atmospheric processes to project how the atmosphere will change. The second step is to enter this data into a mathematical weather model to generate credible prediction results.
A comparative study of prediction and classification models on NCDC weather data
Published in International Journal of Computers and Applications, 2022
Ibrahim Gad, Doreswamy Hosahalli
The weather forecasting is a task of predicting the state of the atmosphere at a place and time using features such as temperature, pressure, sunshine, wind speed, rain, etc. Moreover, the forecasting of weather conditions plays an important role in human life, addressing, in particular, the prediction of precipitation is essential for forecasting hydro-power generating rate, agriculture, renewable energy, water resources, and flood occurred time. Recently, there are tremendous number of weather forecasting models that have been developed, to address the fundamental problem of changing climatic conditions. Basically, the numerical equations of fluid dynamics and thermodynamics showed a particular ability to predict the future state of the weather [1]. However, the traditional weather forecasting and climate models are extremely consuming computing power because physics-oriented models are based on Stokes equations besides the limitations with respect to complexity and resolution [2]. The maximum period of accurate weather forecasting is 10 days because of an incomplete understanding of complex atmospheric processes, after this period the weather forecasts are significantly uncertain [3].
Designing Weather Forecasting Model Using Computational Intelligence Tools
Published in Applied Artificial Intelligence, 2019
Bashar Muneer Yahya, Dursun Zafer Seker
Weather forecasting can be defined as the application which inserts many scientific technologies to predict the atmosphere status for the future time for specific locations (Sheridan 2002) where forecasted weather variables are very important in addressing future environmental and industrials planning. For forecasting local-scale weather variables, the empirical approaches are used as weather forecasting methods if data are plentiful. Many effects of climate change have become apparent to Iraq; drought is one of them especially in the last previous decade (UNEP 2013). Many factors have contributed to the acceleration of drought in Iraq (USAID 2006; FAO 2014) including irregular migration as a result of successive wars, bad management of water resources and many other reasons. The study area represents the Iraqi agricultural economic center, providing Iraq with significant quantities of wheat and barley crops that are necessary to meet the requirements of the population. The province of Nineveh is in northwestern Iraq between 41° 30′–44° 30′ longitude and 35° 00′–37° 00′ latitude. It shares a border with Syria and several other Iraqi governorates as given in Figure 1. Nineveh is the third largest province in terms of size. Its total area is 37,323 km2, which represents 8.6% of the total area of Iraq. The provincial capital is the city of Mosul. The current population of the province is more than 2 million. Winter in Nineveh is mild but not tropical; the average temperature in January is 7°C. The summer in Nineveh is very hot and relentlessly sunny, with possible daytime temperatures of 43°C in July and August; however, air humidity is low. The average rainfall per year is 365 mm concentrated between November and April. Nowadays, climate change negatively impacts all parts of the province with the growing of dust and sand storms phenomenon that sweep the province, causing economic, environmental and psychological damages.