Distributions of Daily Meteorological Variables: Instructions

Selection Options

1. Select the first dataset. Note datasets have different year ranges.
2. Select a location: latitude -90 to 90. Longitude 0-360E.
3. Select the first month of a season
4. Select the last month of a season. Anomalies for a data value will be computed relative to the mean of the entire selected data. So, long seasons may have anomalies with a seasonal cycle.
5. Enter a range of years. The default is the full set of years available for that dataset.

To (optionally) compare distributions

1. Select the second dataset. Note datasets have different year ranges.
2. Select a location: latitude -90 to 90. Longitude 0-360E. It can be the same or different. If nothing is entered, the location for the first dataset is used.
3. Select the first month of a season. If nothing is selected, the starting month for the 1st dataset is used.
4. Select the last month of a season. If nothing is selected, the ending month for the 1st dataset is used.
5. Enter a range of years. The default is the full set of years available for that dataset. To compare with another dataset, you should use the same overlapping set of years.
6. Other options

1. You can enter a value and the probability that the value will be <= that value will be returned using 3 different methods. To obtain the probability of >= that value, subtract the probability from 1.
1. Empirical Probability. If the input value is within the range of the data, the location in the observed distribution is returned.
2. SGS fit probability: The "" probability of an SGS distribution with E,g, and b coefficients (determined from the data) is calculated.
3. Gaussian (Normal) Distribution: the probability if the distribution is assumed to be Gaussian is calculated.
2. Plot both distributions on the same X/Y axis. The option will plot the raw values and not the standardized values
3. Overplot a Gaussian distribution

Results

Unless you choose to plot 2 distributions on 1 plot, you will get back:
1. Plotted empirical distribution(s) of standardized values (bar chart)
2. Plotted fitted SGS estimates of standardized values (line plot)
3. Optional) Plotted Gaussian estimates of standardized values (line plot)
4. Statistics of distribution(s), (optional) probabilities of an input value.
5. SGS fit coefficients.
6. NetCDF file(s) with statistics, PDF bins/values, and time-series.

This is a Research and Development Application
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