10. Missing Rainfall Data – Estimation

Try these first

1. 1.

   Name one cause for missing rainfall data.

   Hint

   Think about failures.

2. 2.

   Why is estimating missing rainfall data important?

   Hint

   Consider the impact on analysis.

3. 3.

   Which method is appropriate for uniform rainfall?

   • Arithmetic Mean Method
   • Normal Ratio Method
   • Inverse Distance Weighting

   Hint

   Think about what method averages out data.

4. 4.

   True or False: Data consistency is not important for accurate estimations.

   • True
   • False

   Hint

   Reflect on how consistent data supports good results.

5. 5.

   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.

6. 6.

   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.