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Regional snowfall index

Regional snowfall index is a earth science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Regional snowfall index rather than just read about it. In short: The regional snowfall index (RSI) is a scale used by NOAA to assess the societal impact of winter storms in the eastern two-thirds of the United States and classify them into one of six categories. The system was first implemented in 2014, and is a replacement for the Northeast Snowfall Impact Scale (NESIS) system which the National Climatic Data Center (NCDC) began using in 2005.

Regional snowfall index — main illustration
Regional snowfall index — illustration

Key takeaways

  • Regional snowfall index belongs to earth science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Regional snowfall index to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Regional snowfall index from memory before moving on to harder problems.

Reference excerpt

The regional snowfall index (RSI) is a scale used by NOAA to assess the societal impact of winter storms in the eastern two-thirds of the United States and classify them into one of six categories. The system was first implemented in 2014, and is a replacement for the Northeast Snowfall Impact Scale (NESIS) system which the National Climatic Data Center (NCDC) began using in 2005. The NCDC has retroactively assigned RSI values to almost 600 historical storms that have occurred since 1900. Storms are ranked from Category 0 "Nuisance" to Category 5 "Extreme" on the scale. The impact of the storms is assessed in six different regions of the United States: the Northeast, Northern Rockies and Plains, Ohio Valley, South, Southeast, and Upper Midwest. The index makes use of population and regional differences to assess the impact of snowfall. For example, areas which receive very little snowfall on average may be more adversely affected than other regions, and so the index will grant storms in those regions higher severity.

Overview

In each region, four "thresholds" are set based on climatological records for calculation of the RSI value:

one quarter of the amount of snow typically occurring once every 10 years one half of the amount of snow typically occurring once every 25 years the amount of snow typically occurring once every 25 years one and a half times the amount of snow typically occurring once every 25 years For example, in the Northeast, a typical location will get 16 inches of snow about once every 10 years and 20 inches about once every 25 years, so the thresholds are 4, 10, 20, and 30 inches. For each threshold and each region, a baseline area and population are determined; for a given storm, the area that exceeds a particular threshold will be normalized by the baseline value. For example, for a storm in the Northeast, the area receiving at least 4 inches of snow is divided by 149,228 square miles, and the population affected is divided by 51,553,600 (using 2010 census data). This gives eight different numbers representing how widespread the storm is compared to notable snow storms in that region. The baseline area and population represent the average area and population for large storms, so that each of these eight different measures will average to an RSI value of 1.0 among storms considered notable (for the calibration sample). The RSI is simply the sum of these eight numbers.

See also

List of regional snowfall index category 5 winter storms List of regional snowfall index category 4 winter storms Miller classification Accumulated winter season severity index

References

External links NOAA's Regional Snowfall Index (RSI)

Worked examples

Example 1 — a first encounter with Regional snowfall index

Start with the simplest possible case. Write down what Regional snowfall index claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In earth science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Regional snowfall index before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Regional snowfall index ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Regional snowfall index

In research
Regional snowfall index appears in earth science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Regional snowfall index in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Regional snowfall index is common in secondary-school and first-year university syllabi. It links to neighbouring topics Extratropical cyclones, Hazard scales, Meteorological quantities, so understanding it makes those chapters shorter.
In everyday life
Look for Regional snowfall index outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Regional snowfall index in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Regional snowfall index means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Regional snowfall index out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Regional snowfall index in simple terms?

The regional snowfall index (RSI) is a scale used by NOAA to assess the societal impact of winter storms in the eastern two-thirds of the United States and classify them into one of six categories. The system was first implemented in 2014, and is a replacement for the Northeast Snowfall Impact Scal…

Why does Regional snowfall index matter?

Because it connects several earth science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Regional snowfall index?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Regional snowfall index.

Tags

  • Extratropical cyclones
  • Hazard scales
  • Meteorological quantities
  • National Centers for Environmental Prediction
  • Weather prediction

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