Authors: Sandeep Mathur
Addresses: Noida International University, Greater Noida, Uttar Pradesh, India
Abstract: Weather prediction systems today are a function of a multitude of variables, which result in complicated and convoluted systems of mathematical simulations and equations. Simulating along the lines of these systems requires enormous amounts of computational power and resources at the scale of supercomputers and super-scalar and massively parallelised architectures. There has been a recent attempt to avoid such costly and often inefficient calculations by making use of artificial neural networks (ANN) to predict future weather and climate patterns at large. This paper will explore such methods of varying complexity, and review their effectiveness as compared to numerical weather predictions (NWP) models.
Keywords: neural networks; weather prediction; prediction models.
International Journal of Computer Aided Engineering and Technology, 2022 Vol.17 No.4, pp.388 - 396
Received: 24 Oct 2019
Accepted: 06 May 2020
Published online: 31 Oct 2022 *