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1.7. MT49E Extra: Sensitivity Analysis of Modelled \(Q_E\)

1.7.1. Objectives

  1. To assess which parameters and varaiables influence your model most

Tips:

  1. What are the effects of systematically perturbing \(Q^*\), \(Q_G\), canopy resistance \(r_c\), roughness length \(z_0\) in the Penman Monteith equation?

  2. Which uncertainty has the biggest effect on the estimated fluxes?

  3. Derive an overall estimate for the accuracy of the Penman-Monteith method for both \(Q_E\) and \(Q_H\). Do this by assuming reasonable errors in the parameters and variables.

  4. What is the impact of assuming neutral conditions versus actual stability conditions on the calculated value of \(r_a\)?

  5. What error in the fluxes does this cause?

  6. How will this error vary for extremely unstable or stable conditions?

1.7.2. Tasks: TODO

1.7.2.1. load necessary packages

[1]:

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from pathlib import Path

1.7.2.2. load data

[3]:

# code

1.7.2.3. examine data

[4]:

# code and plot