Calculate long term normal

    This option lets a user calculate long term averages of the data and depicts it in tabular form. For example, if a daily time series data is loaded, a user can then calculate the monthly or yearly long term average from the daily data.

Activity: long term normal

This is a quick and easy function which can be used on a range of data. Cut your data in various ways and run the long term normal tool. This can be particularly useful when exploring temperatures (min, max and mean).

An interesting exercise can be done to explore the long term normal of places with climate change. Select a site that has all the data variables (prec, tmin, tmax and tmean such as CAMOOWEAL TOWNSHIP). You can find others.

Load the data. You do not need to clean the data by clipping the -999.00 from the front and back end as SimCLIM disregards this data when doing calculations.

Apply a long term normal to the data. Click on each column to display a graph.

Keeping one or more of the graphs on reload the data and apply a climate change scenario to the data. The climate scenario toggle is located at the bottom left of the data browser dialogue box.

You will by now be familiar with this function. Choose the parameters you wish for this analysis and press OK. Your data set has now been perturbed (Simulated what those daily events would have been like under climate change conditions as you defined them).

Conduct a long term normal function on the perturbed data. Click on a column and produce graph and compare it with the graph you left open from the baseline conditions.

You can run multiple analyses with different scenarios. Think about how this sort of analysis could be used?