10 - Missing Rainfall Data – Estimation
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Practice Questions
Test your understanding with targeted questions
Name one cause for missing rainfall data.
💡 Hint: Think about failures.
Why is estimating missing rainfall data important?
💡 Hint: Consider the impact on analysis.
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Interactive Quizzes
Quick quizzes to reinforce your learning
Which method is appropriate for uniform rainfall?
💡 Hint: Think about what method averages out data.
True or False: Data consistency is not important for accurate estimations.
💡 Hint: Reflect on how consistent data supports good results.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Given data from three stations: Station A (100mm), Station B (110mm), Station C (90mm), estimate the missing value for Station D using the Arithmetic Mean Method.
💡 Hint: Look for the average of provided data.
Using the Normal Ratio Method, if Station X has a normal rainfall of 120mm, and your missing station, Station Y, has normals of 90mm and 100mm respectively from two near stations, find the estimated rainfall for Station Y.
💡 Hint: Think about how you can scale the estimated observation against another's normal.
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