Practice Criteria For Estimation Method Selection (10.3) - Missing Rainfall Data – Estimation

Practice: Criteria for Estimation Method Selection

Lesson 10.3Missing Rainfall Data – Estimation

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9 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the first criterion for selecting an estimation method?
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Think about what factors make data gaps important.
Question 2.
Why is having neighboring stations important?
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Consider the variety of data available from different stations.
3Question 3.
What is the most critical factor in selecting an estimation method?
- Length of missing record
- Number of surrounding stations
- Topographic similarity
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Consider what happens when data is missing longer.
4Question 4.
True or False: Homogeneity among neighboring stations increases the quality of estimations.
- True
- False
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Think about the impact of different weather patterns on data.
Question 5.
Conduct a small research task to identify and list three different estimation methods for missing rainfall data, including the criteria for when to apply each.
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Check your notes for examples discussed.
Question 6.
Analyze the importance of climatic similarities among stations and how it could affect a region experiencing climate change. Propose methods to adjust the estimation processes.
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Think about how local changes could impact rainfall patterns.

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