MATLAB MODEL

MATLAB MODEL.

Be sure to include a plot of the model and the observations, and if you like a plot of their difference. It is a good idea to discuss where the model does well, and where it does not.

Develop a model to describe the variability of CO2 from 1958 to the present. The model you choose is up to you, however you must be able to justify any terms that you include in your model. The data for CO2 at Mauna Loa is available on the internet.... I found a good site at: ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_mlo.txt (Hint: Use the interpolated values) One way to evalutate the performance of your model is to use the RMS (square root of the mean squared difference or standard deviation) between the model and the observations. We usually define observations to be "truth". I recommend finding the RMS difference between your model and the observations. Use your model to make a prediction for CO2 concentration in the year 2050. Develop a model to describe the variability of CO2 from 1958 to the present. The model you choose is up to you, however you must be able to justify any terms that you include in your model. The data for CO2 at Mauna Loa is available on the internet.... I found a good site at: ftp://aftp.cmdl.noaa.gov/products/trends/co2/co2_mm_mlo.txt (Hint: Use the interpolated values) One way to evalutate the performance of your model is to use the RMS (square root of the mean squared difference or standard deviation) between the model and the observations. We usually define observations to be "truth". I recommend finding the RMS difference between your model and the observations. Use your model to make a prediction for CO2 concentration in the year 2050