Meteorology and weather prediction system

Biological & Life Science

Meteorology and weather prediction system

A computer programme that gives meteorological information for future times and locations is known as weather forecasting modelling. Numerical Weather Prediction is commonly employed in modern forecasting models, defined as “a collection of basic equations used to evaluate changes in atmospheric conditions.”  Numerical modelling is all about creating mathematical equations, applying boundary conditions, and solving them on supercomputers.

Weather forecasting is a complicated topic, which depends on the efficient interplay of weather observation, data analysis by meteorologists and computers, and rapid communication systems.

A literature review on various weather forecasting methods

Persistence forecasting

Persistence forecasting is the simplest way of forecasting which assumes a continuation of the present. When the weather is stable, such as during the summer season in the tropics, it relies on today’s conditions to forecast the weather. The occurrence of a stationary weather pattern is critical for this type of forecasting. It is used for both short-term and long-term projections [1].

Climatology forecasting

While persistence forecasting is most accurate during short periods (before change variables have had time to function), the best weather prediction for a long time ahead is the average value of previous measurements taken at that time of day and year.

Climatology forecasts are based on the fact that the weather for a specific day in a specific area does not vary significantly from year to year. As a result, a long-term average of weather on a specific day or month should be a strong option for that day’s or month’s weather [2].

Use of a barometer

Barometer uses the pressure tendency and barometric pressure. The greater the pressure difference, especially if it is greater than 2.54mmHg, the greater the chance of a change in weather. If the pressure drops quickly, a low-pressure system is approaching, and rain is more likely. Rapid pressure rises are associated with improving weather conditions, such as clearing skies [3].

Analogue Forecasting

The analogue method is challenging to forecast since it requires the meteorologist to recollect a previous weather occurrence that a future event is expected to be repeated. The job of the analogue forecaster is to identify a day in history when the weather was a perfect match, or analogue, to the weather today. What makes it a difficult method to use is that there is rarely a perfect analogue for an event in the future. No two patterns or sequences of weather are ever identical [4].

The literature review thesis evaluates various authors and scholarly article sources in the particular field of study. It will help you to find the specific article relevant to the task. It is mandatory to check whether the selected source contributes to giving a more profound understanding of the subject. Tutors India UK Literature Review writing service provides a well-written literature review. If you find difficulty with your literature work, you can reach  our experts.

Reference:

  1. AJ, I., & TY, W. Weather Forecasting Models, Methods and Applications.
  2. Ren, X., Li, X., Ren, K., Song, J., Xu, Z., Deng, K., & Wang, X. (2021). Deep Learning-Based Weather Prediction: A Survey. Big Data Research, 23, 100178.
  3. Hintz, K. S., Vedel, H., & Kaas, E. (2019). Collecting and processing of barometric data from smartphones for potential use in numerical weather prediction data assimilation. Meteorological Applications, 26(4), 733-746
  4. Walsh, J. E., Brettschneider, B., Kettle, N. P., & Thoman, R. L. (2021). An Analog Method for Seasonal Forecasting in Northern High Latitudes. Atmospheric and Climate Sciences, 11(3), 469-485.
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