Precipitation analysis and forecasting weather of Texas, United States

K. Miller; G. Yi; E. Snir; B. Rahmani

doi:10.1007/s41870-022-01063-z

Precipitation analysis and forecasting weather of Texas, United States

K. Miller
, G. Yi
, E. Snir
, B. Rahmani

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

The weather patterns of Texas, United States are analyzed over a multi-year period. In this analysis, multiple graphical and computational methods are used to determine accurate forecasting for the state. Forecasting accuracy is achieved through graphical methods of Q-Q plots, time series studies, Holt-Winters filtering, forecasting, autocorrelation, seasonal ARIMA, moving average, and exponential smoothing. Model accuracy is validated using computational methods of correlation, p-value, t-value, and error analysis.

Original language	English
Pages (from-to)	549-556
Number of pages	8
Journal	International Journal of Information Technology (Singapore)
Volume	15
Issue number	2
DOIs	https://doi.org/10.1007/s41870-022-01063-z
State	Published - Feb 2023

Keywords

Accuracy
Forecasting
Seasonality
Texas
Weather pattern

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10.1007/s41870-022-01063-z

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title = "Precipitation analysis and forecasting weather of Texas, United States",

abstract = "The weather patterns of Texas, United States are analyzed over a multi-year period. In this analysis, multiple graphical and computational methods are used to determine accurate forecasting for the state. Forecasting accuracy is achieved through graphical methods of Q-Q plots, time series studies, Holt-Winters filtering, forecasting, autocorrelation, seasonal ARIMA, moving average, and exponential smoothing. Model accuracy is validated using computational methods of correlation, p-value, t-value, and error analysis.",

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author = "K. Miller and G. Yi and E. Snir and B. Rahmani",

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AU - Yi, G.

AU - Snir, E.

AU - Rahmani, B.

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Y1 - 2023/2

N2 - The weather patterns of Texas, United States are analyzed over a multi-year period. In this analysis, multiple graphical and computational methods are used to determine accurate forecasting for the state. Forecasting accuracy is achieved through graphical methods of Q-Q plots, time series studies, Holt-Winters filtering, forecasting, autocorrelation, seasonal ARIMA, moving average, and exponential smoothing. Model accuracy is validated using computational methods of correlation, p-value, t-value, and error analysis.

AB - The weather patterns of Texas, United States are analyzed over a multi-year period. In this analysis, multiple graphical and computational methods are used to determine accurate forecasting for the state. Forecasting accuracy is achieved through graphical methods of Q-Q plots, time series studies, Holt-Winters filtering, forecasting, autocorrelation, seasonal ARIMA, moving average, and exponential smoothing. Model accuracy is validated using computational methods of correlation, p-value, t-value, and error analysis.

KW - Accuracy

KW - Forecasting

KW - Seasonality

KW - Texas

KW - Weather pattern

UR - https://www.scopus.com/pages/publications/85136901575

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JO - International Journal of Information Technology (Singapore)

JF - International Journal of Information Technology (Singapore)

IS - 2

ER -

Precipitation analysis and forecasting weather of Texas, United States

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