Basic plots and analyses of the simulations

Basic plots and analyses of the simulations#

In this page, we provide python scripts to make first plots for the analysis of the simulation (forward or inverse) outputs. These are only basic plots and should be adapted/extended based on the scientific questions and focuses of the study.

1. Forward simulation#

This script provides basic analyses of the results of a forward simulation of TROPOMI satellite observations, within the CIF-CHIMERE framework. The example data is for a simulation in the South American domain.

The script loads the output monitor file, then makes 5 plots:

  • Fig 1: histogram of obs-sim differences

  • Fig 2: time series of daily/monthly observed and simulated XCH4

  • Fig 3: maps of TROPOMI obs count, observed XCH4 and simulated XCH4 per lat/lon pixel

  • Fig 4: maps of the obs-sim XCH4 difference and the relative difference per lat/lon pixel

  • Fig 5: seasonal maps of obs-sim, obs and sim XCH4 per lat/lon pixel

2. Inverse simulation#

This script provides basic analyses of the results of an inverse simulation assimilating TROPOMI satellite observations, within the CIF-CHIMERE framework. The example data is for a simulation in the South American domain.

It makes 7 plots:

  • Fig 1: plots of J and grad(J) along the optimization process

  • Fig 2: histograms of prior and posterior differences obs-sim XCH4

  • Fig 3: time series + maps of observed, prior simulated and posterior simulated XCH4

  • Fig 4: time series of prior and posterior CH4 emissions per sector

  • Fig 5: maps of increments (posterior-prior) of CH4 emissions per sector

  • Fig 6: budgets of prior and posterior CH4 emissions per sector

  • Fig 7: budgets of prior and posterior CH4 emissions per country [optional, if mask]

Warning

The loading of the control vectors for each sector can be long (several minutes) if there are many sectors.

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