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Question

A numerical weather forecasting model follows sigma ($\sigma$) coordinate system in the vertical. At two locations A and B, the surface pressure is $1000 \text{ hPa}$ and $500 \text{ hPa}$ respectively. The values of pressure at A and B (in that order) for $\sigma = 0.5$ are:

The correct answer is

 $500 \text{ hPa}$, $250 \text{ hPa}$

Sigma Coordinate Pressure Calculation

This problem requires calculating the pressure at a specific sigma ($\sigma$) level within a numerical weather model, given the surface pressure at different locations.

Sigma ($\sigma$) Coordinate Definition

The sigma coordinate system is a vertical coordinate system used in meteorology where the vertical coordinate is normalized by the surface pressure ($p_s$). It is defined as:

\(\sigma = \frac{p}{p_s}\)

Here, '$p$' represents the pressure at a certain level, and '$p_s$' is the surface pressure.

Calculating Pressure ($p$) using $\sigma$

To find the pressure ($p$) at a given sigma level, the formula can be rearranged:

\(p = \sigma \times p_s\)

In this question, we need to calculate the pressure for $\sigma = 0.5$.

Step-by-Step Calculation for Locations

We apply the rearranged formula using the given surface pressures for locations A and B.

Location A ($p_{s} = 1000 \text{ hPa}$):

  • Surface pressure ($p_{s,A}$) = $1000 \text{ hPa}$.
  • Sigma level ($\sigma$) = $0.5$.
  • Pressure calculation ($p_A$):

    \(p_A = 0.5 \times 1000 \text{ hPa} = 500 \text{ hPa}\)

Location B ($p_{s} = 500 \text{ hPa}$):

  • Surface pressure ($p_{s,B}$) = $500 \text{ hPa}$.
  • Sigma level ($\sigma$) = $0.5$.
  • Pressure calculation ($p_B$):

    \(p_B = 0.5 \times 500 \text{ hPa} = 250 \text{ hPa}\)

Conclusion

The calculated pressures at $\sigma = 0.5$ are $500 \text{ hPa}$ for Location A and $250 \text{ hPa}$ for Location B. This corresponds to the values presented in Option 2.

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Important Questions from Numerical Methods

  1. If f(x) is a polynomial of degree n in x, then nth difference of this polynomial is

  2. What is Lagrange’s interpolation polynomial for the following data?

    x24
    f(x)35

  3. If f(1) = 4 and f(5) = 6, then what is the value of f(3) using Lagrange’s interpolation?

  4. Which theorem states that "An integral function attains every finite value with atmost one possible exception"?

  5. Let h be defined in finite-difference fraction notation as follows.

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