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About this document
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- 29 pages
- Price
- $29 one-time, yours to keep
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- Format
- Subject
- Agriculture, Climate Science, Meteorology
This document discusses the definition of climate and its difference from weather. It also covers the importance of rainfall in agricultural production and the need for climatological information to mitigate drought disasters. It is a study on rainfall variation in Nigeria.
What's inside
- Definition of climate and weather
- Importance of rainfall in agriculture
- Need for climatological information
- Rainfall variation in Nigeria
- Case studies on rainfall analysis
Who it is for: For students studying climate and meteorology. (Postgraduate)
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Summary
Rainfall variation in Nigeria is discussed, with a focus on how it affects agriculture. It explains how to forecast monthly rainfall using time series models. Students learn about rainfall measurement, data analysis and model fitting.
Rainfall and agriculture
Rainfall drives many physical and biological processes. Farmers need to know rainfall variation to choose suitable crops. Droughts cause economic losses due to lack of rainfall information.
Data collection and presentation
Monthly rainfall data from Nigeria Meteorological Station, Benin, is used. Rainfall is measured with a rain gauge. The data covers January 1981 to December 2000.
Model identification and fitting
Time series models are used to forecast monthly rainfall. The AutoCorrelation Function helps identify the best model. The SARIMA model is chosen for its high criteria properties.
Results and recommendations
The model can predict future monthly rainfall values. It recommends further analysis to see if other climatic factors influence weather conditions.
Key terms
- Rainfall
- Water falling from clouds in drops.
- Time series model
- A statistical model for data collected at constant time intervals.
- AutoCorrelation Function
- A measure of the correlation of a time series with its own past and future values.
- SARIMA model
- Seasonal AutoRegressive Integrated Moving Average model for time series forecasting.
- Rain gauge
- An instrument that measures the amount of rain.
- Drought
- A period of below-average precipitation in a given region.
Questions this document helps with
- How does rainfall variation affect crop choice?
- What data is used to forecast monthly rainfall?
- Which model is best for predicting rainfall?
Summary written with AI from the document's text.
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