This function creates a lower (or equal) resolution time series from the one displayed above. The options are quite general, and allow for the computation of most standard derived time series.

You can transform into any of the time resolutions the Climate Explorer understands: annual, seasonal (DJF, MAM, JJA, SON), monthly, decadal (1-10, 11-20, 21-end), pentad, or daily (6-hourly is experimental). The pentad including February 29 in a leap year is over 6 days.

You can take the mean, standard deviation, min and max of the time series when going to a lower time resolution. The options sum above, sum below and number are used in combination with a threshold. This allows the construction of heating degree days (sum above 17°C), warm days (number of days with temperature above the 95th percentile), number of days with dense fog (number below 201m), etc. The threshold can be specified in the absolute units of the time series, as percentile, or relative to the 1971-2000 normals.

Note that the Climate Explorer cannot correlate two datasets with a different time resolution, you should always use this function (or its converse) to convert one of the two to the time scale of the other.

This functionality performs multiple steps in generating data. It does the following, in order:

• The function fills missing data if requested. NOTE! This will only happen if using the operations 'mean' and 'sum', and not setting a cut-off. If this is not the case and a Missing Data option is chosen, missing data may be filled with zeros.
• The running mean is taken, if requested.
• The new timescale is applied using the options requested. If keeping the same timescale, the operation will default to 'mean', and data will simply be copied to the output. NOTE! If no minimum is set, a default of 50% will be chosen. This can affect some operations, so if you want to turn this off, set a value of 0%.

The functionality can be performed in steps. For example, if you want to calculate a running mean first, set only a running mean with keep same timescale and ignore missing data, then apply the rest of the functionality on the new dataset. If you require different functionality, please contact the administrator.